Sleep as a Foundation for Health and Longevity

In this paper we set out to address the following aspects of sleep:

  • Why we need sleep
  • Melatonin, adenosine sleep pressure and circadian rhythm
  • REM and NREM phases: Dreams, memory, sleep spindles and growth
  • The health consequences of sleep deprivation
  • Tactics to get a better night’s sleep

INTRODUCTION

According to recent research recommendations, the optimal amount of sleep per night for adults is between 7-9 hrs maximum [Watson NF et al., 2015; Daza EJ et al., 2019; Chaput J,P et al., 2018]. However, evidence indicates that fewer than a third of us are actually achieving this required level of slumber, in what has been variously described as a ‘global epidemic,’ of sleeplessness [Chattu, VK et al… 2018; Centre for Disease Control – Sleep].

It comes as little surprise when we observe modern living trends. A rising tide of mobile use, work pressures, urban noise, light pollution, not to mention a whole plethora of other digital distractions all clearly favour wakefulness. Indeed, we are recognising this at an individual level, with a recent large scale global survey showing only half of the adults surveyed were satisfied with their sleep levels [Phillips – Global Sleep Survey – 2020].

As we will explore here, the consequences of a lack of sleep to global health stretch far beyond tiredness and reduced concentration. In point of fact, they are potentially catastrophic. They serve as a major disruptor to our everyday physical and mental wellbeing, with strong evidence to show that long term deleterious sleep habits contribute to disease development and premature mortality. In this article, we review why we need sleep, what regulates it, research findings that document the consequences of poor sleep hygiene, and tactics to ensure we get the required levels for our health.

WHY DO WE NEED SLEEP?

Sleep serves critical physiological functions in the body. It is fundamental to health, and indeed, life. The latter is corroborated by conditions such as the rare neurodegenerative condition ‘Fatal Familial Insomnia.’ This inherited disease typically starts during middle age and renders individuals unable to sleep, which can prove, as the name suggests, terminal in as little as 7 months [Llorens, F et al., 2017].

Ironically, although we spend on average a third of our lifespans asleep, [Aminoff MJ, et al 2011] the precise processes occurring in the body are still being discerned by the research community. What we do know is that sleep has key restorative, regulatory and maintenance roles, that are so essential to our wellbeing that they offset the evolutionary disadvantage of being in a state of vulnerability every night. This includes homeostatic maintenance, appetite regulation, metabolic control, learning, memory processing, cognition and immunity, amongst others. Indeed, in the brain there are numerous critical functions that are restored by nightly sleep as we discuss in the next section.

REM, NREM TYPES OF SLEEP AND THE BRAIN

When we are asleep, there are two distinct phases, or states, we experience and cycle through every 90 – 120 mins that are characterised by different brain activity. These are respectively known as rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep. NREM sleep occurs more predominantly during the first part of our night’s rest. It consists of three stages that successively increase in depth, with the last, stage 3, considered the most recuperative [Moser et al., 2009]. Here, brain activity is characterised by slow oscillations that are detectable by electroencephalogram (EEG), and is therefore referred to as slow-wave sleep [Saper, CB et al., 2010]. NREM slow wave sleep is thought to serve a key restorative function to the brain, whereby critical activities like molecular, cellular, and network level maintenance and repair can take place.

Aside from this, phenomena called sleep spindles are observed in the earlier stages of NREM. Here, spikes of activity go from the cortex of the brain (central to all conscious activity, voluntary movement, long term memories and thought – amongst other roles), to the thalamus (an effective central relay station for the brain). There is evidence that sleep spindles maintain learning capacity, move short term memories from a region called the hippocampus to long term storage in the cortex, and enable you to learn motor skills – like typing on a keyboard for example [Laventure S,et al., 2016]. Interestingly, the amount of sleep spindles observed declines in older age.

In contrast, during REM sleep your brain shows similar activity to wakefulness (increased activity in some areas in fact) and this is when we typically dream. Our skeletal muscles become paralysed, we also experience intermittent muscle twitches, fluctuations in body temperature, and increased respiratory activation. The function of REM sleep is still not fully understood, but key data indicate it facilitates learning and memory consolidation by altering neuronal connections (synapses) [Boyce R et al., 2017].

In addition, there is increasing evidence that shows that there is a clearance of waste products and metabolites generated by the brain during the day’s activities, whilst we are asleep. This is thought to be enabled by a ten-fold increase in the circulation of the fluids surrounding the brain and brain membranes [Xie et al., 2013].

HOW IS OUR SLEEP REGULATED?

There are three main mechanisms that regulate our sleep-wake cycle: the circadian rhythm;  hormone regulators like melatonin; and molecules called somnogens – like adenosine.

CIRCADIAN RHYTHM

An individual’s circadian rhythm is a timed rotation between what the body perceives as day versus night. This 24 hr* cycling is endogenous to the body and originates from, and is regulated by, part of the brain known as the suprachiasmatic nucleus (SCN) [Abbott et al., 2015]. It influences all other regions of the brain and all other organs. As well as determining wakefulness, it regulates multiple other bodily functions including metabolism, appetite, core body temperature, hormone release, and emotional state. It can be influenced by several factors with light and darkness being a fundamental cue.

(*Our endogenous clocks have been shown in experiments to actually just run over 24 hr ;Czeisler CA, et al., 1999)

MELATONIN

The hormone melatonin is also a significant regulator of the circadian rhythm. It rises significantly as the sun sets and reaches a peak in the early hours of the morning (2-4 AM). Conversely, input from light sensors in the retina to the SCN (described above as regulating the circadian rhythm) directly inhibit melatonin secretion and promote wakefulness. Nearly all our organs have receptors for melatonin, so its influence is pervasive.

In the early hours of the morning, a hormone steroid called cortisol starts to rise rapidly, and induces waking. Other factors like temperature – we’ve evolved to fall asleep in cool conditions – medicinal drugs, exercise and meals can also alter this endogenous clock.

ADENOSINE

Another system that governs our need for sleep is the increase and presence of several sleep-inducing molecules called somnogens. These continue to build up the longer we are awake.  One of the most important of these is called adenosine. This chemical accumulates in the brain during wake time, influencing neuronal pathways to increase sleepiness. It only resets once we get enough sleep [Blanco-Centurion C, et al., 2006]

THE HEALTH CONSEQUENCES OF SLEEP DEPRIVATION

In the short term, sleep deprivation can increase stress, the risk of poor mental health, accidents, injury, and lead to cognitive, memory and performance deficits. Longer term, sleeping fewer than 6 hrs a night has been identified as a contributory factor to developing diseases that are some of the leading global causes of death. Examples include cardiovascular diseases, stroke, cancer and diabetes. In fact, some studies have indicated sleeping 6 hrs or less a night can increase the risk of premature mortality ten-fold, compared to recommended levels [Hafner, M et al., 2016]. Many studies indicate a U-shape relationship with sleep and mortality, whereby persistent low levels (less than 6 hrs) or high levels (+9 hrs) of sleep are associated with a higher mortality rate [Cappucio et al., 2010]. We discuss the evidence for some specific deleterious effects of sleep deprivation and disease contribution below.

CARDIOVASCULAR DISEASES (CVD)

Cardiovascular diseases are the leading cause of death globally, according to WHO statistics accounting for 31% of all recorded deaths. The primary lifestyle factors linked to cardiovascular disease development include tobacco use, unhealthy diet, obesity, physical inactivity and harmful use of alcohol. There have been an increasing number of studies over the past two decades, however, that indicate that sleep duration can also contribute to the risk of disease [Wolk et al., 2005; Nagai M, et al., 2010; Yin J, et al., 2017].

For example, one meta-analysis study examined the association between sleep duration, risk of all‐cause mortality and cardiovascular disease [Yin J, et al., 2017]. The study concluded that that the lowest risk for both was observed with a sleep duration of 7 hours per day. Furthermore, the risk for all cardiovascular disease increased by 6% for every one hour slept less than this, and 12% for every one hour slept in addition. When this was broken down into different types of CVD, notably sleep duration of equal to 6 – 7 hrs showed the lowest risk for stroke, and the starkest increase in risk was seen when sleep duration of ≥9 hr was observed.

CANCER

The risk of cancer development and sleep remains controversial, with disparate conclusions reached by researchers over the last twenty years. However, a number of studies have determined sleep as one of the modifiable risk factors for some specific types of cancer.

For instance, a European wide study in 2012 that included 23K+ middle-aged individuals concluded that participants sleeping less than 6 hr were at increased risk of all chronic diseases, compared to those gaining 7-8 hr day [von Ruesten A, et al 2012]. This included all forms of cancer. In contrast, a large-scale meta-analysis in 2018, that aggregated data from 65 studies in several countries globally, found there to be no general association between sleep duration and cancer risk [Chen Y. et al., 2018].

The authors of the 2018 study did note there were two exceptions to this outcome [Chen Y. et al., 2018]. The first was in the specific Asian populations included in the analysis (China, Japan and Singapore in this case — other Asian countries were not covered). Here, an increased chance of getting all forms of cancer were observed when routinely sleeping ≤5 hrs or ≤6 hrs versus a reference of 7 hrs (+36% or an odds ratio of 1.36: 1). Secondly, the incidence of colorectal cancer appeared to increase in individuals who were sleeping ≥ 9 hrs.

A recent Spanish study examined the sleep patterns of 2.5K people diagnosed with colorectal and, additionally, gastric (stomach) cancer versus a control group of 3.6K subjects. They concluded, that compared to 7 hrs, short (≤ 5 hr) or long sleep (≥ 9 hr) duration was associated with both types of cancer [Papantoniou K. et al., 2021]. Furthermore, they noted that long, frequent naps (≥ 30 mins, 6-7 times a week) were also linked with colorectal cancer.

Another Europe-based study, in fact, one of the largest scale studies of its type – in a UK cohort of over a million women, found no association between sleep duration and breast cancer [Wong A.T.Y, et al., 2019]

DIABETES

A meta-analysis of 17 studies including 737K adults, indicated that those with short sleep duration (≤ 6 h) and long sleep duration ( ≥9 h) increased their risk of developing type 2 diabetes by 8 % and 14% respectively, compared to what they referenced as normal sleep duration of 7 h [Lu, H et al., 2021]. Another review of lifestyle factors and the risk they pose for developing Type 2 diabetes had similar conclusions, but indicated there may be gender differences — with women increasing their risk with longer sleep durations, and men withdeficient slumber [Ismail L. et al., 2021]. The authors went on to highlight the contribution of a condition called obstructive sleep apnea, where the throat muscles relax when you’re asleep reducing oxygen levels (hypoxia). They stated this could potentially lead to inflammation, as a precursor to Type 2 diabetes [Ismail L. et al., 2021]. Conversely, it should be noted that having Type 2 diabetes has itself been linked to a number of sleep disorders, which may be related to the disease itself or concurrent health complications [Khandelwal D. et al 2017].

OBESITY

A wealth of literature has linked short sleep duration to obesity over the past few decades. One of the most cited was a study by Cappucio et al., in 2008, that analysed data from over 630K individuals, 30K+ of whom were children. It concluded that there was clear association between short sleep duration (defined as < 5 hr for adults and < 10 hr for children) and a BMI>30 for adults or BMI in the 95th percentile for children.

NEURODEGENERATION, DEMENTIA AND ALZHEIMER’S DISEASE

As we discussed above, key restorative pathways and metabolite clearance from the brain are thought to occur whilst we sleep. As such, it is sensical that several research studies have focused on sleep as a variable lifestyle factor for diseases that impact the brain. Furthermore, several mechanistic theories around the accumulation of toxins and metabolites (like Beta-amyloid for example), have been proposed [Vanderheyden WM, et al., 2018].

In a recent peer-review study, authors looked at middle-age sleep patterns and the overall incidence of dementia by following 7959 subjects over a period of 25 years. They concluded that continual short sleep duration of < 6 hr during your 50’s, 60’s and 70’s is associated with a 30% increased risk of dementia, versus obtaining 7 hr per night [Sabia, S et al., 2021]. This was seen as independent of other factors including sociodemographic, mental health, cardio-metabolic or other health variables. The researchers found no evidence for any link between long sleep duration and dementia risk.

Sleep disorders and insomnia, especially in mid-life (~50) have been linked to the higher incidence of dementia in older age in other research studies too [Sindi S, et al., 2018; Shi L, et al., 2018],  as well as the development of Alzheimer’s disease [Shi L et al., 2018; Vanderheyden WM, et al., 2018].

DEPRESSION AND MOOD

Inadequate sleep has been linked to low mood by multiple research publications. Sleep disorders and poor sleep quality has been shown to have a bidirectional relationship with the development of depression [ Riemann D, et al 2001]. There have been several studies showing the vulnerability of shift workers – who typically will experience inadequate or altered sleep patterns – to mood disorders, including anxiety and depression. One randomised clinical study that simulated shift-work conditions, concluded that having  what they referred to as a ‘circadian misalignment’ to one’s natural sleep rhythm resulted in negative mood effects [Chellappa SL, 2020]. Furthermore, recent research has linked sleep deprivation specifically with an inability to suppress unwanted memories and negative thoughts – the latter ruminations can be key drivers for depression and other psychiatric conditions [Harrington MO, et al 2021].

OVERALL MORTALITY

As we’ve covered here, there is a large body of evidence indicating that short and long sleep duration can adversely affect health. It follows on that a number of research groups have sought to investigate the impact of our habitual sleep patterns on our mortality, and also our longevity.

In a systematic review and analysis of large-scale population studies (1.3 million participants), Cappucio and colleagues concluded that short sleep duration (typically < 7 hr or < 5 hr in some cases) conferred a 12% extra risk of death versus those sleeping 7 – 8 hrs. On the other end of the spectrum, those routinely sleeping longer than 8 or 9 hrs were at a 30% higher risk of death. They referred to this as a U-shaped trend. Note that this was a pooled analysis of several published papers, so many of them differed slightly on their individual definition of ‘short’ or ‘long’ sleep duration.

In a study on longevity, research indicated that long-lived individuals (85 – 105) maintained regular sleep patterns, and whilst they slept less than individuals between 60 – 70 yrs of age, they had the same amount of NREM slow wave sleep, especially stage 3. In addition, they had a healthy HDL to LDL lipid profile [Mazzotti et al., 2014]

HOW THEN TO GET A BETTER NIGHT’S SLEEP?

LIGHT

We have light sensitive receptors in our retina that directly feed into our circadian rhythm and melatonin levels. Artificial lighting causes us to detach from using the suns natural rising and setting as a cue for our sleep, and hence to stay awake longer.  Light is measured in a unit called lux, and full sunlight is typically 25,000 lux. Several studies show that exposure to daylight helps improve the quality and duration of sleep [Boubekri M, et al., 2014]. However, individuals who have later exposure to artificial light experience more nocturnal awakenings and less slow-wave sleep. The light intensity, even from a weak indoor bedside light (10-15 lux), has been shown to suppress melatonin release and delay the evening sleep phase of our circadian rhythm [Boivin DB, et al., 1994; Blume C et al., 2019].

Blue spectra light is a type of illumination that’s typically omitted from digital devices, our tv screens, mobiles, and laptops etc. This is a particularly potent disruptor of sleep, as our retinal receptors are more sensitive to it than other light spectra. This creates a strong incentive to disengage from our phones and electronic devices several hours before we are thinking of going to sleep. Some manufacturers mention they have night modes to combat this (reducing the emission by 67% in some cases). However, it still amounts to high light intensity, typically close to your face. The best thing is to avoid use altogether, or use the minimal brightness on your phone, which may be more effective than any night shift mode [Blume C et al., 2019].

TEMPERATURE

Our ancestors typically slept exposed to the elements and we have evolved to sleep in cool conditions relative to the daytime when we are active. In fact, our core body temperature drops as a precursor to sleep as a result of our blood vessels dilating in our extremities (hands and feet)  [Harding EC, et al., 2019]. Our body’s circadian and hormonal regulators respond to this decrease to help elicit sleep. A warm bath or shower at least an hour before sleep (if its immediately before bed it can warm you up), can also help induce a cooling effect [Harding EC, et al., 2019].

In many modern heated homes, we often have thermostats or a continually maintained temperature. A drop in temperature at night may not occur and we are working against this natural sleep-inducing mechanism. Lowering the temperature on your thermostat at night can help here. Optimal room temperatures are typically between 19 – 21 C [Harding EC, et al., 2019]. A large-scale population analysis in the US concluded there was a robust link between atypically high night-time temperatures (as a result of climate change) and insufficient sleep [Obradovich N et al., 2017]. This was most marked in the elderly and low-income individuals.

ALCOHOL

Alcohol has sedative properties. Drinking before sleep can help induce deep sleep initially. However, once asleep, alcohol, especially in medium to high doses, is a potent disruptor of our natural sleep cycles. This typically manifests in the last half of the night when in REM. Circulating alcohol cuts short the time we spend asleep and can induce early awakening [Ebrahim IO et al., 2013]. Furthermore, movement during REM sleep is amplified, as is the potential for sleep apnea. Here, our throat muscles relax and we snore with adversely affected breathing, all of which combined result in poor sleep quality.

CAFFEINE

Caffeine beverages are the most widely consumed in the world, often in the form of coffee. Caffeine stops the effects of sleep-inducing adenosine, by blocking its receptor, and is quickly absorbed and effects our system within 30 mins. It is cleared much more slowly, however, with a half-life ranging from 2 – 10 hrs depending on several factors, including how much is consumed and individual differences in caffeine metabolism [ O’ Callaghan et al., 2018]

Researchers have found that there is a cyclical relationship between caffeine use and inadequate sleep whereby feeling tired in the morning leads to high caffeine intake, which consequently leads to poor sleep quality. In one study, even a relatively low dose of 200 mg, two brewed cups of coffee, at 7am were shown to affect sleep quality 16 hr later compared to a placebo [Landolt HP, et al, 1995].

ALLOW AMPLE SLEEP OPPORTUNITY

If you are aiming for optimal levels of sleep, (7-8 hr) its stands to reason that you may need to allow yourself longer than this in bed. Having a wind-down period set aside for reading a book, or relaxing before you drift off is good practice. Your bed should be a place of relaxation and comfort, whilst ensuring your body is sufficiently supported at your natural pressure points when lying down.

NOISE

Noise pollution, especially in urban environments with traffic, can interrupt sleep. In fact, the WHO has specified that night noise should not exceed 40 decibels, and that 55 decibels and above may put individuals at serious health risks, including elevated blood pressure and heart attacks. It has worked together with the EU for example to introduce laws that ban noise at night.

Partners snoring can have a similar effect for some people. If the noise cannot be blocked out, investing in ear plugs may advisable!

SLEEPING PILLS…

Although there are several pharmacological drugs approved for use as a short-term fix to induce sleep, evidence suggests they are not an effective long or even short term replacement for naturally induced sleep. There are several contraindications, in that the quality of the sleep may be impaired, there are possible addictive characteristics (benzodiazepines for example) or there is a balance to be struck between obtaining adequate sleep and having following day sleepiness and decline in cognitive function [Lie JD et al., 2015]

CONCLUSIONS

According to decades of research, it is clear that sleep needs to be prioritised as a lifestyle variant due to its critical function for our health, healthy ageing and, ultimately, poor sleep hygiene has dire implications for our mortality. Routinely obtaining 7 – 8 hr slumber a night specifically has shown to be optimal and have protective effects against disease development. Peer-review research has clearly identified the contribution of consistently obtaining shorter or longer periods of sleep (≤6 hr or ≥ 9 hr —for adults) to cardiovascular disease, obesity, dementia, type 2 diabetes, gastric and colorectal cancer and mood disorder development.

Good sleep practices include getting daylight exposure during the day, avoiding strong artificial light in the evening, including that from digital devices, ensuring optimal room temperatures, minimising noise, avoiding alcohol before bed and reducing or eliminating caffeine consumption.

© SX2 VENTURES 2021

__________

REFERENCES

Abbott SM, Reid KJ, Zee PC (2015) Circadian rhythm sleep-wake disorders. Psychiatr Clin North Am 38(4):805–823. 10.1016/j.psc.2015.07.012

Blanco-Centurion C, Xu M, Murillo-Rodriguez E, Gerashchenko D, Shiromani AM, Salin-Pascual RJ et al. Adenosine and sleep homeostasis in the basal forebrain. J Neurosci 2006. 26 (31):8092–8100. 10.1523/JNEUROSCI.2181-06.2006

Blume C, Garbazza C, Spitschan M. Effects of light on human circadian rhythms, sleep and mood. Somnologie (Berl). 2019 Sep;23(3):147-156. doi: 10.1007/s11818-019-00215-x. Epub 2019 Aug 20. PMID: 31534436; PMCID: PMC6751071.

Boyce R, Glasgow SD, Williams S, Adamantidis A. Causal evidence for the role of REM sleep theta rhythm in contextual memory consolidation. Science. 2016;352:812–816

Bubu OM, Brannick M, Mortimer J, Umasabor-Bubu O, Sebastiao YV, Wen Yet al. . Sleep, cognitive impairment, and Alzheimer’s disease: a systematic review and meta-analysis. Sleep 2017; 40.

Boivin DB, Duffy JF, Kronauer RE, Czeisler CA. Sensitivity of the human circadian pacemaker to moderately bright light. J Biol Rhythms. 1994 Winter;9(3-4):315-31. doi: 10.1177/074873049400900311. PMID: 7772798.

Boubekri M, Cheung IN, Reid KJ, et al. Impact of windows and daylight exposure on overall health and sleep quality of office workers: a case-control pilot study. J Clin Sleep Med. 2014;10:603–611.

Cappuccio FP; Taggart FM; Kandala NB; Currie A; Peile E; Stranges S; Miller MA. Meta-analysis of short sleep duration and obesity in children and adults. Sleep 2008;31(5):619-626.

Cappuccio FP; D’Elia L; Strazzullo P; Miller MA. Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies. Sleep 2010;33(5):585-592

Chellappa SL, Morris CJ, Scheer FAJL. Circadian misalignment increases mood vulnerability in simulated shift work. Sci Rep. 2020 Oct 29;10(1):18614. doi: 10.1038/s41598-020-75245-9. PMID: 33122670; PMCID: PMC7596056.

Chen Y, Tan F, Wei L, et al. Sleep duration and the risk of cancer: a systematic review and meta-analysis including dose-response relationship. BMC Cancer. 2018;18(1):1149. Published 2018 Nov 21. doi:10.1186/s12885-018-5025-y

Chattu VK, Manzar MD, Kumary S, Burman D, Spence DW, Pandi-Perumal SR. The Global Problem of Insufficient Sleep and Its Serious Public Health Implications. Healthcare (Basel). 2018;7(1):1. doi:10.3390/healthcare7010001

Czeisler CA, Duffy JF, Shanahan TL, Brown EN, Mitchell JF, Rimmer DW, Ronda JM, Silva EJ, Allan JS, Emens JS, Dijk DJ, Kronauer RE. Stability, precision, and near-24-hour period of the human circadian pacemaker. Science. 1999. Jun 25;284(5423):2177-81. doi: 10.1126/science.284.5423.2177. PMID: 10381883.

Ebrahim IO, Shapiro CM, Williams AJ, Fenwick PB. Alcohol and sleep I: effects on normal sleep. Alcohol Clin Exp Res. 2013 Apr;37(4):539-49. doi: 10.1111/acer.12006. Epub 2013 Jan 24. PMID: 23347102.

Hafner M., Stepanek M., Taylor J., Troxel W.M., van Stolk C. Why Sleep Matters—The Economic Costs of Insufficient Sleep: A Comparative Cross-Country Analysis. RAND Corporation; Santa Monica, CA, USA: 2016.

Harding EC, Franks NP, Wisden W. The Temperature Dependence of Sleep. Front Neurosci. 2019;13:336. Published 2019 Apr 24. doi:10.3389/fnins.2019.00336

Harrington MO, Ashton JE, Sankarasubramanian S, Anderson MC, Cairney SA. Losing Control: Sleep Deprivation Impairs the Suppression of Unwanted Thoughts. Clin Psychol Sci. 2021 Jan;9(1):97-113. doi: 10.1177/2167702620951511. Epub 2020 Oct 15. PMID: 33552705; PMCID: PMC7820573

Ismail L, Materwala H, Al Kaabi J. Association of risk factors with type 2 diabetes: A systematic review. Comput Struct Biotechnol J. 2021 Mar 10;19:1759-1785. doi: 10.1016/j.csbj.2021.03.003. PMID: 33897980; PMCID: PMC8050730.

Khandelwal D, Dutta D, Chittawar S, Kalra S. Sleep Disorders in Type 2 Diabetes. Indian J Endocrinol Metab. 2017 Sep-Oct;21(5):758-761. doi: 10.4103/ijem.IJEM_156_17. PMID: 28989888; PMCID: PMC5628550.

Landolt HP, Werth E, Borbély AA, Dijk DJ. Caffeine intake (200 mg) in the morning affects human sleep and EEG power spectra at night. Brain Res. 1995;675(1–2):67–74

Laventure S, Fogel S, Lungu O, Albouy G, Sévigny-Dupont P, Vien C, Sayour C, Carrier J, Benali H, Doyon J. NREM2 and Sleep Spindles Are Instrumental to the Consolidation of Motor Sequence Memories. PLoS Biol. 2016 Mar 31;14(3):e1002429. doi: 10.1371/journal.pbio.1002429. PMID: 27032084; PMCID: PMC4816304.

Lie JD, Tu KN, Shen DD, Wong BM. Pharmacological Treatment of Insomnia. P T. 2015 Nov;40(11):759-71. PMID: 26609210; PMCID: PMC4634348.

Llorens F, Zarranz JJ, Fischer A, Zerr I, Ferrer I. Fatal Familial Insomnia: Clinical Aspects and Molecular Alterations. Curr Neurol Neurosci Rep. 2017 Apr;17(4):30. doi: 10.1007/s11910-017-0743-0. PMID: 28324299.

Lu H, Yang Q, Tian F, Lyu Y, He H, Xin X, Zheng X. A Meta-Analysis of a Cohort Study on the Association between Sleep Duration and Type 2 Diabetes Mellitus. J Diabetes Res. 2021 Mar 24;2021:8861038. doi: 10.1155/2021/8861038. PMID: 33834077; PMCID: PMC8012145.

Mazzotti DR, Guindalini C, Moraes WA, Andersen ML, Cendoroglo MS, Ramos LR, Tufik S. Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile. Front Aging Neurosci. 2014 Jun 24;6:134. doi: 10.3389/fnagi.2014.00134. PMID: 25009494; PMCID: PMC4067693.

Medic G, Wille M, Hemels ME. Short- and long-term health consequences of sleep disruption. Nat Sci Sleep. 2017;9:151-161. doi:10.2147/NSS.S134864

Moser D, Anderer P, Gruber G, Parapatics S, Loretz E, Boeck M et al., Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parameters. Sleep. 2009. 32 (2):139–149

Nagai M, Hoshide S, Kario K. Sleep duration as a risk factor for cardiovascular disease- a review of the recent literature. Curr Cardiol Rev. 2010;6(1):54-61. doi:10.2174/157340310790231635

O’Callaghan F, Muurlink O, Reid N. Effects of caffeine on sleep quality and daytime functioning. Risk Manag Healthc Policy. 2018;11:263-271. Published 2018 Dec 7. doi:10.2147/RMHP.S156404

Obradovich N, Migliorini R, Mednick SC, Fowler JH. Nighttime temperature and human sleep loss in a changing climate. Sci Adv. 2017 May 26;3(5):e1601555. doi: 10.1126/sciadv.1601555. PMID: 28560320; PMCID: PMC5446217.

Papantoniou K, Castaño-Vinyals G, Espinosa A, et al. Sleep duration and napping in relation to colorectal and gastric cancer in the MCC-Spain study. Sci Rep. 2021;11(1):11822. Published 2021 Jun 3. doi:10.1038/s41598-021-91275-3

Sabia S, Fayosse A, Dumurgier J, van Hees VT, Paquet C, Sommerlad A, Kivimäki M, Dugravot A, Singh-Manoux A. Association of sleep duration in middle and old age with incidence of dementia. Nat Commun. 2021 Apr 20;12(1):2289. doi: 10.1038/s41467-021-22354-2.

Saper, CB, Fuller, PM, Pedersen, NP, Lu, J, Scammell, TE. Sleep state switching. Neuron 2010. 68(6):1023–42.

Shi L, Chen SJ, Ma MY, Bao YP, Han Y, Wang YM, Shi J, Vitiello MV, Lu L. Sleep disturbances increase the risk of dementia: A systematic review and meta-analysis. Sleep Med Rev. 2018 Aug;40:4-16. doi: 10.1016/j.smrv.2017.06.010.

Sindi S, Kåreholt I, Johansson L, Skoog J, Sjöberg L, Wang HX, Johansson B, Fratiglioni L, Soininen H, Solomon A, Skoog I, Kivipelto M. Sleep disturbances and dementia risk: A multicenter study. Alzheimers Dement. 2018 Oct;14(10):1235-1242. doi: 10.1016/j.jalz.2018.05.012. Epub 2018 Jul 17. PMID: 30030112.

Vanderheyden WM, Lim MM, Musiek ES, Gerstner JR. Alzheimer’s Disease and Sleep-Wake Disturbances: Amyloid, Astrocytes, and Animal Models. J Neurosci. 2018 Mar 21;38(12):2901-2910. doi: 10.1523/JNEUROSCI.1135-17.2017. PMID: 29563238; PMCID: PMC6596072.

von Ruesten A, Weikert C, Fietze I, Boeing H. Association of sleep duration with chronic diseases in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. PLoS One. 2012;7(1):e30972. doi: 10.1371/journal.pone.0030972. Epub 2012 Jan 25. PMID: 22295122; PMCID: PMC3266295.

Watson NF, Badr MS, Belenky G, et al. Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015;38(6):843-844. doi:10.5665/sleep.4716

WHO Noise reduction at night guidelines: https://www.euro.who.int/en/health-topics/environment-and-health/noise/publications/2009/night-noise-guidelines-for-europe

WHO cardiovascular disease statistics https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1

Wolk R, Gami AS, Garcia-Touchard A, Somers VK. Sleep and cardiovascular disease. Curr Probl Cardiol. 2005 Dec;30(12):625-62. doi: 10.1016/j.cpcardiol.2005.07.002. PMID: 16301095.

Xie L, Kang H, Xu Q, Chen MJ, Liao Y, Thiyagarajan M et al. (2013) Sleep drives metabolite clearance from the adult brain. Science 2013. 342(6156):373–377. 10.1126/science.

Yin J, Jin X, Shan Z, Li S, Huang H, Li P, Peng X, Peng Z, Yu K, Bao W, Yang W, Chen X, Liu L. Relationship of Sleep Duration With All-Cause Mortality and Cardiovascular Events: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. J Am Heart Assoc. 2017 Sep 9;6(9):e005947. doi: 10.1161/JAHA.117.005947. PMID: 28889101; PMCID: PMC5634263.

Wong, A. T. Y. et al. Sleep duration and breast cancer incidence: Results from the Million Women Study and meta-analysis of published prospective studies. Sleep https://doi.org/10.1093/sleep/zsaa166 (2020).

Optimal Nutrition for Health and Wellbeing

What is the optimal diet to provide us with the maximal long term health benefits, wellbeing and, ultimately, longevity? Scientists have been looking to answer this in an effort to address the global disease burden and to meet the basic aspiration of humanity to live long and healthy lives. The question we set out to ask is whether there is scientific consensus around an optimal human diet – at least for those seeking a long healthy life as a core aspiration.

OUR ANCESTRAL GENOME AND MODERN NUTRITION

Our physiological needs as a species, and associated genetics have predominantly been molded by the environmental pressures during the many millennia we spent living as hunter-gatherers; before we became farmers and food processors. Here we were sustained on a diet rich in plant-derived foods including berries, nuts, seeds, with additional protein from wild fish, birds, and game. The relative proportions would have varied by our geographical area and abundance of food [Cordain et al., 2005].

Agriculture and farming, beginning around 12,000 years ago and industrial food processing from the last few hundred years are comparatively recent additions on our evolutionary scale. Fatty meats, cereals, high levels of dairy, refined sugars, refined fats, alcohol, and salt would have been completely absent from our ancestors diet. And yet these food categories are now thought to make up over >70% of a modern US diet [Cordain et al 2005]. Moreover, many of these dietary components are consumed in a processed or highly processed form – meaning they are changed considerably from when they were harvested or reared – leaving ‘foods’ that are energy dense but micronutrient deficient.

The mismatch between modern day dietary preferences and our ancestral genome has been postulated by many as a, if not the, major cause in the global rises in non-communicable diseases  (NCDs) including many cancers, cardiovascular diseases (CVD), Type 2 diabetes and other obesity-related diseases, accounting, per the WHO, for 71% of all deaths globally.

So what are the physiological requirements of a human diet? There is broad scientific consensus as to the recommended quantities and ratios of macronutrients, micronutrients, vitamins, and minerals and calorie intake required to avoid deficiencies; see for example, the recommendations of the UK National Health Service (link) and the World Health Organization (link). However, such  guidelines by themselves describe nutritional building blocks rather than the practical aspects of preparing meals, which is ultimately how the quest for an ‘optimal diet’ is usually framed.

With that in mind, what does the scientific evidence base tell us about the optimal diet in practice? Here we examine scientific studies of several diets popularly touted as offering health and longevity benefits.

THE MEDITERRANEAN DIET

The Mediterranean Diet is predominantly plant-based from vegetables, fruits, lentils, pulses, tree nuts, seeds, whole grains, plus fish and other seafood, small amounts of dairy products and olive oil as a primary source of fat. Red and processed meat is limited and alcohol consumption moderate.

The diet is supported by numerous research studies as being optimal for reducing the incidence of several diseases, including conditions that lead to premature death [Dinu M et al 2018; Martinez-Gonzalez, MA et al., 2019; Schwingshackl L, Hoffmann G, 2020]. A comprehensive review of 13 observational studies and 17 meta-analyses of randomized clinical trials (RCTs), covering 12.8 million individuals showed a reduced risk of overall mortality, cardiovascular disease and heart attacks, stroke, cancer and neurodegenerative disease (particularly Alzheimer’s and Dementia) [Dinu M et al 2018]. Fish and seafood feature prominently in the diet contributing omega-3 fatty acids, which reduce the incidence of Type 2 diabetes, hypertension, atherosclerosis, depression, some cancers and cognitive decline [Horrocks, L. A. & Yeo, Y. K.1999; Kris-Etherton, P et al., 2002; Swanson, D et al., 2012].

JAPANESE DIETS

Japanese diets are commonly associated with longevity. As with Mediterranean diets, a traditional Japanese diet has low levels of red meat, dairy products, and sugars. It also incorporates relatively high levels of fish and seafood. In addition, rice, soybeans, and tea (mostly green) figure prominently. Overall calorie intake in Japan is lower per individual than with other developed nations, with a corresponding reduction in obesity levels [Tsugane, S. 2020].

The Okinawa Islands are of particular interest given the highest numbers of centenarians and the lowest rates of NCDs in the world amongst the generation currently aged 65+. Their staple food, by contrast with the polished rice consumed in mainland Japan, is sweet potato as part of a high vegetable intake, accounting for over half of their daily calories. Research shows that this generation of Okinawans also experienced low caloric intake until middle age, mimicking a calorie restricted diet, with a negative energy balance [Wilson et al 2007; Chan et al., 1997].

One limitation often noted is the high sodium content of Japanese diets, which can correlate to elevated rates of hypertension, cardiovascular diseases [Miura et al., 2010; Nagata et al., 2004; Umesawa et al., 2008; Tsugane and Sasazuki, 2007]. Although this is much less pronounced in Okinawa [Willcox et al., 2007].

THE DASH DIET

The ‘Dietary Approaches to Stop Hypertension’ (DASH) diet was developed and trialed by researchers at John Hopkins University, for cardiovascular health [Appel et al.,1997]. It is based on fruit, vegetables, whole grains and lean meats, including fish and poultry, with a limited daily intake of dairy and a weekly quota of beans, nuts and seeds. It contains less sodium, sugar, fats, and red meat than the usual Western diet. [National Heart Lung and Blood Institute, US DASH eating plan]. Combining the diet with a reduction in sodium-intake (maximum 2300 mg/day) can further amplify its positive effects [Sacks et al., 2001]. Long-term studies have associated the diet with lower risk for diabetes, and several types of cancer, among other chronic age associated diseases [Shirani et al., 2013; Soltani 2020; Chiavaroli et al., 2019].

PALAEOLITHIC DIET

The Palaeolithic, or ‘Paleo’ diet requires individuals to consume food groups that mimic our hunter-gather ancestors. This usually includes fish, lean meats, eggs, vegetables, fruits, and nuts, and excludes cereals, whole grains, legumes, pulses, dairy products, alcohol, processed foods and sugar.

A small number of RCTs with short-term time scales (weeks or a few months), and limited subjects have shown some benefits of this style of diet for weight loss, inflammatory bowel disease and Type 2 diabetes with improved glucose control, compared to other conventional healthy diets [Masharani et al., 2015; Jönsson et al., 2009]. Yet, a review of four studies with a total of 98 subjects concluded that whilst beneficial, the Paleo diet did not materially differ from other types of diets commonly perceived as healthy (eg the Mediterranean diet), especially with regard to effects on glucose and insulin homeostasis [Jamka et al., 2020]. Commonly noted limitations with the Paleo diet are potential deficiencies in iron, calcium and vitamin D, which have been observed in some clinical trials due to the exclusion of many food groups [Konijeti et al., 2017 reported this finding in their clinical trial for IBD management]. In addition, Paleo diets exclude wholegrains, which, as a primary source of fiber, have been shown to reduce rates of chronic diseases and all-cause premature mortality [Aune D et al., 2016].

KETOGENIC DIET

‘Keto’ diets (of which the ‘Atkins’ is a well-known example) hijack the natural inclination of the body to go into a metabolic state called ‘physiological ketosis’ when it has insufficient carbohydrates to use for energy, ultimately resulting in weight loss.

The standard keto diet includes high levels of fat (~70%), medium amounts of protein (~20%) and very limited quantities of carbohydrate intake (around 10% equating to <50 g a day on an average 2000 calorie a day diet). There are also high protein variants with 35% protein and only 5% carbohydrates.

A US clinical trial of 132 morbidly obese individuals comparing the keto diet with a traditional low fat diet for weight loss showed more than double the weight loss over 6 months from the former (8.6 kg versus 4.2 kg) [Samaha et al., 2003]. There are also short-term studies (over weeks) showing a reduction of certain cardiovascular risk factors [Reviewed in Paoli et al., 2013] and longer term interventions (> 1 year) showing marked improvements for disease markers for individuals with Type 2 diabetes, including a halving of fasting circulating glucose and improved insulin sensitivity [Reviewed in Paoli et al., 2013]. Keto diets have been used with success in the management of epilepsy by changing neuronal metabolism and excitability to reduce the seizure frequency [D’Andrea Meira et al., 2019].

Whilst there is no current consensus in the scientific community regarding the safety and efficacy of the diet long term, some research has highlighted potential health concerns with versions of the keto diet. [See for example, Hariharan et al 2015]. Animal-based protein keto diets may be high red and processed meats and low in fruits, vegetables, and whole grains. This approach has been widely shown to increase the risk of chronic diseases [Fung et al., 2010].

VEGETARIAN AND VEGAN DIETS

Vegetarian diets involve excluding all types of meat, fish and seafood. They usually include dairy intake. Vegan diets, on the other hand are plant-based and exclude all animal-derived products.

There is ample evidence for the health benefits of these diets. A meta-analysis of 96 individual studies in Europe (UK, Germany) and the US looking at vegetarian and vegan diets showed a significant reduced risk of incidence and/or mortality from ischemic heart disease and occurrence of total cancer, ( -25% and -8% amongst vegetarians compared to omnivores), but not of total cardiovascular and cerebrovascular diseases, all-cause mortality and mortality from cancer. The vegan diet showed a significant further reduction in total cancer rates (-15%) [Reviewed in Dinu et al., 2017]. Vegetarians and vegans are shown to have lower BMI’s, less likely to be obese, have lower fasting blood glucose, total cholesterol, LDL-cholesterol and triglycerides levels than omnivores, all protective effects against the development of chronic disease [Dinu et al., 2017].

A well-known study commonly known as ‘the Cornell China Study’ (or just ‘The China Study’) compared the diets and mortality data for >50 diseases, including 7 different cancers, from 65 counties and 130 villages in rural mainland China versus the US. Chinese subjects consumed low levels of animal protein (10% of typical US intake) or no meat and all had a high vegetable intake, particularly of green leafy vegetables. They had dramatically lower incidences of mortality from NCDs. Notably, coronary artery disease mortality was 17-fold lower for men and 6-fold lower for women than their American counterparts. Limitations of the study include the fact that differences in lifestyle factors were not taken into consideration.

Care must be taken, in vegan diets in particular, that sufficient levels of micronutrients commonly found in animal sources like B12, iron and vitamin D are taken through the diet. More fundamentally, it is possible to have an unhealthy vegetarian diet. There is a higher prevalence of Type 2 diabetes and chronic diseases in the Indian vegetarian population compared to elsewhere. Evaluation of the Indian vegetarian diet by researchers attributes this to higher intakes of dairy, fried foods and desserts with refined sugars [Jaacks et al., 2016].

INTERMITTENT FASTING AND CALORIC RESTRICTION

Dietary restriction (DR) is where calorie intake is significantly reduced – for example, a reduction of 25% of energy expenditure is seen as moderate DR and 55% severe DR. In a DR program, care is taken that malnutrition is avoided and at least 100% of the recommended daily intake for each essential vitamin and mineral is consumed. Alternative versions include fasting or eating in a restricted time window.

In human cohort studies and clinical trials with moderate and severe DR, protection has been shown against muscle-loss, inflammatory pathways that contribute to aging, cardiovascular disease, brain atrophy, obesity, Type 2 diabetes and cancer amongst others risk factors, including a decrease in the measures of biological ageing [Heilbronn et al., 2006; Cava & Fontana. 2013; Fontana and Partridge 2015, Belsky et al., 2017]. One of the limitations of severe DR, and even moderate DR, is that it is hard to maintain over any long period; requiring close dietary monitoring and supplementation, so that malnutrition and deficiencies do not result.

A NOTE ON RED MEAT AND PROCESSED MEATS

One area of important study has been of potential links between the consumption of red meat and processed meats and although the detail is beyond the scope of this article, we can state that a plethora of peer-reviewed research studies have shown the adverse effects of high levels of red meat, particularly those in a processed form as being a causative factor for cancer, specifically colon cancer, through multiple pathways [Bastide et al., 2011; Cross et al., 2004; Fiorito et al., 2020; Santarelli et al., 2008].

GUT MICROBIOME: A VECTOR OR DASHBOARD FOR HEALTH AND LONGEVITY

A huge number and diversity of microbes live in the linings of our gut, including bacteria, viruses, yeasts and fungi, comprising our ‘gut microbiome.’ A balanced and diverse gut microbiome has been proven by numerous research studies to have a significant role in optimal health and an imbalance is implicated in several disease categories including neurodegenerative disease, obesity, type 2 diabetes and several cancers. The gut microbiome also forms a critical concentration point of our immune cells, which research suggests has far reaching implications for our health in totality.

An in depth analysis of the function of the gut microbiome and its impact on health and longevity can be found in our recent article (link). Suffice to say here that studies show that our nutrition is a significant influence on the composition of our microbiota. Dietary interventions, like consuming whole grains, fiber-rich foods including fruit and vegetables, low levels of animal fats, plant-derived proteins, polyphenol-rich food and drinks, pro- and prebiotics have all been shown to enrich beneficial microbiota that are associated with optimal health and longevity. Unsurprisingly, these foods have significant overlap with the composition of the healthiest global dietary approaches we’ve discussed.

CONCLUSIONS

Cumulative scientific studies indicate that the Mediterranean, Japanese, DASH, vegan, vegetarian and pesco-vegetarian diets (with low dairy, saturated fats and refined sugars) promote a longer, healthier life. The keto approach may be good for weight loss in the short-term, but a high animal fat and protein approach could lead to higher levels of chronic disease long term. Paleo diets lack long term studies, and nutrient deficiencies can arise. Intermittent fasting or dietary restriction to limit calorie intake, or increased activity, for a minor negative energy balance (-11%), whilst ensuring micronutrient needs are covered, has also been shown to be strongly advantageous for health and longevity.

To summarize the findings further, the commonalities between all of the optimal diets are high plant-based intake, a whole food approach (i.e. taking the food in its naturally occurring state rather than processed), low levels or absence of red meat, moderate to regular fish intake (particularly fatty fish rich in omega-3), limited consumption of saturated fats, inclusion of monounsaturated fats from olive oil and nuts, nutrient variance, limited refined sugars, moderate sodium and low alcohol levels. Managing calorific equilibrium and eating during time restricted windows are also of benefit.

© SX2 VENTURES (2021)

___________

REFERENCES

Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, Bray GA, Vogt TM, Cutler JA, Windhauser MM, Lin PH, Karanja N. A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med. 1997 Apr 17;336(16):1117-24. doi: 10.1056/NEJM199704173361601

Aune D, Keum N, Giovannucci E, Fadnes LT, Boffetta P, Greenwood DC, Tonstad S, Vatten LJ, Riboli E, Norat T. Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies. BMJ. 2016 Jun 14;353:i2716. doi: 10.1136/bmj.i2716.

Belsky DW, Huffman KM, Pieper CF, Shalev I, Kraus WE. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis. J Gerontol A Biol Sci Med Sci. 2017 Dec 12;73(1):4-10. doi: 10.1093/gerona/glx096.

Campbell TC, Parpia B, Chen J. Diet, lifestyle, and the etiology of coronary artery disease: the Cornell China study. Am J Cardiol. 1998 Nov 26;82(10B):18T-21T. doi: 10.1016/s0002-9149(98)00718-8. PMID: 9860369.

Cava E, Fontana L. Will calorie restriction work in humans? Aging (Albany NY). 2013 Jul;5(7):507-14. doi: 10.18632/aging.100581. PMID: 23924667; PMCID: PMC3765579.

Chan YC, Suzuki M, Yamamoto S. Dietary, anthropometric, hematological and biochemical assessment of the nutritional status of centenarians and elderly people in Okinawa, Japan. J Am Coll Nutr. 1997 Jun;16(3):229-35. doi: 10.1080/07315724.1997.10718679. PMID: 9176829.

Chiavaroli L, Viguiliouk E, Nishi SK, Blanco Mejia S, Rahelić D, Kahleová H, Salas-Salvadó J, Kendall CW, Sievenpiper JL. DASH Dietary Pattern and Cardiometabolic Outcomes: An Umbrella Review of Systematic Reviews and Meta-Analyses. Nutrients. 2019 Feb 5;11(2):338. doi: 10.3390/nu11020338.

Cordain L, Eaton SB, Sebastian A, Mann N, Lindeberg S, Watkins BA, O’Keefe JH, Brand-Miller J. Origins and evolution of the Western diet: health implications for the 21st century. Am J Clin Nutr. 2005 Feb;81(2):341-54. doi: 10.1093/ajcn.81.2.341

D’Andrea Meira I, Romão TT, Pires do Prado HJ, Krüger LT, Pires MEP, da Conceição PO. Ketogenic Diet and Epilepsy: What We Know So Far. Front Neurosci. 2019;13:5. Published 2019 Jan 29. doi:10.3389/fnins.2019.00005

Dinu M, Abbate R, Gensini GF, Casini A, Sofi F. Vegetarian, vegan diets and multiple health outcomes: A systematic review with meta-analysis of observational studies. Crit Rev Food Sci Nutr. 2017 Nov 22;57(17):3640-3649. doi: 10.1080/10408398.2016.1138447. PMID: 26853923.

Dinu M, Pagliai G, Casini A, Sofi F. Mediterranean diet and multiple health outcomes: an umbrella review of meta-analyses of observational studies and randomized trials. Eur J Clin Nutr. 2018 Jan;72(1):30-43. doi: 10.1038/ejcn.2017.58.

Fontana L, Partridge L. Promoting health and longevity through diet: from model organisms to humans. Cell. 2015 Mar 26;161(1):106-118. doi: 10.1016/j.cell.2015.02.020. PMID: 25815989; PMCID: PMC4547605.

Fung TT, van Dam RM, Hankinson SE, Stampfer M, Willett WC, Hu FB. Low-carbohydrate diets and all-cause and cause-specific mortality: two cohort studies. Ann Intern Med. 2010 Sep 7;153(5):289-98. doi: 10.7326/0003-4819-153-5-201009070-00003

Hariharan D, Vellanki K, Kramer H. The Western Diet and Chronic Kidney Disease. Curr Hypertens Rep. 2015 Mar;17(3):16. doi: 10.1007/s11906-014-0529-6. PMID: 25754321.

Heilbronn LK, de Jonge L, Frisard MI, DeLany JP, Larson-Meyer DE, Rood J, Nguyen T, Martin CK, Volaufova J, Most MM, Greenway FL, Smith SR, Deutsch WA, Williamson DA, Ravussin E; Pennington CALERIE Team. Effect of 6-month calorie restriction on biomarkers of longevity, metabolic adaptation, and oxidative stress in overweight individuals: a randomized controlled trial. JAMA. 2006 Apr 5;295(13):1539-48. doi: 10.1001/jama.295.13.1539

Jaacks LM, Kapoor D, Singh K, Narayan KM, Ali MK, Kadir MM, Mohan V, Tandon N, Prabhakaran D. Vegetarianism and cardiometabolic disease risk factors: Differences between South Asian and US adults. Nutrition. 2016 Sep;32(9):975-84. doi: 10.1016/j.nut.2016.02.011

Jamka M, Kulczyński B, Juruć A, Gramza-Michałowska A, Stokes CS, Walkowiak J. The Effect of the Paleolithic Diet vs. Healthy Diets on Glucose and Insulin Homeostasis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Clin Med. 2020 Jan 21;9(2):296. doi: 10.3390/jcm9020296

Jönsson T, Granfeldt Y, Ahrén B, Branell UC, Pålsson G, Hansson A, Söderström M, Lindeberg S. Beneficial effects of a Paleolithic diet on cardiovascular risk factors in type 2 diabetes: a randomized cross-over pilot study. Cardiovasc Diabetol. 2009 Jul 16;8:35. doi: 10.1186/1475-2840-8-35

Konijeti GG, Kim N, Lewis JD, et al. Efficacy of the Autoimmune Protocol Diet for Inflammatory Bowel Disease. Inflamm Bowel Dis. 2017;23(11):2054-2060. doi:10.1097/MIB.0000000000001221

Masharani U, Sherchan P, Schloetter M, Stratford S, Xiao A, Sebastian A, Nolte Kennedy M, Frassetto L. Metabolic and physiologic effects from consuming a hunter-gatherer (Paleolithic)-type diet in type 2 diabetes. Eur J Clin Nutr. 2015 Aug;69(8):944-8. doi: 10.1038/ejcn.2015.39

Miura K, Okuda N, Turin TC, Takashima N, Nakagawa H, Nakamura K, Yoshita K, Okayama A, Ueshima H; NIPPON DATA80/90 Research Group. Dietary salt intake and blood pressure in a representative Japanese population: baseline analyses of NIPPON DATA80. J Epidemiol. 2010;20 Suppl 3(Suppl 3):S524-30. doi: 10.2188/jea.je20090220.

Nagata C, Takatsuka N, Shimizu N, Shimizu H. Sodium intake and risk of death from stroke in Japanese men and women. Stroke. 2004 Jul;35(7):1543-7. doi: 10.1161/01.STR.0000130425.50441.b0. Epub 2004 May 13

National Heart Lung and Blood Institute, US DASH eating plan

https://www.nhlbi.nih.gov/health-topics/dash-eating-plan

NHS fact sheet; Live well Eat well https://www.nhs.uk/live-well/eat-well/what-are-reference-intakes-on-food-labels/

Paoli A, Rubini A, Volek JS, Grimaldi KA. Beyond weight loss: a review of the therapeutic uses of very-low-carbohydrate (ketogenic) diets [published correction appears in Eur J Clin Nutr. 2014 May;68(5):641]. Eur J Clin Nutr. 2013;67(8):789-796. doi:10.1038/ejcn.2013.116

Samaha FF, Iqbal N, Seshadri P, Chicano KL, Daily DA, McGrory J, Williams T, Williams M, Gracely EJ, Stern L. A low-carbohydrate as compared with a low-fat diet in severe obesity. N Engl J Med. 2003 May 22;348(21):2074-81. doi: 10.1056/NEJMoa022637. PMID: 12761364.

Shirani F, Salehi-Abargouei A, Azadbakht L. Effects of Dietary Approaches to Stop Hypertension (DASH) diet on some risk for developing type 2 diabetes: a systematic review and meta-analysis on controlled clinical trials. Nutrition. 2013 Jul-Aug;29(7-8):939-47. doi: 10.1016/j.nut.2012.12.021

Soltani S, Arablou T, Jayedi A, Salehi-Abargouei A. Adherence to the dietary approaches to stop hypertension (DASH) diet in relation to all-cause and cause-specific mortality: a systematic review and dose-response meta-analysis of prospective cohort studies. Nutr J. 2020 Apr 22;19(1):37. doi: 10.1186/s12937-020-00554-8

Tsugane S, Sasazuki S. Diet and the risk of gastric cancer: review of epidemiological evidence. Gastric Cancer. 2007;10(2):75-83. doi: 10.1007/s10120-007-0420-0. Epub 2007 Jun 25. PMID: 17577615.

Tsugane S. Why has Japan become the world’s most long-lived country: insights from a food and nutrition perspective. Eur J Clin Nutr. 2020 Jul 13. doi: 10.1038/s41430-020-0677-5. Epub ahead of print. PMID: 32661353.

Umesawa M, Iso H, Date C, Yamamoto A, Toyoshima H, Watanabe Y, Kikuchi S, Koizumi A, Kondo T, Inaba Y, Tanabe N, Tamakoshi A; JACC Study Group. Relations between dietary sodium and potassium intakes and mortality from cardiovascular disease: the Japan Collaborative Cohort Study for Evaluation of Cancer Risks. Am J Clin Nutr. 2008 Jul;88(1):195-202. doi: 10.1093/ajcn/88.1.195

WHO: Statistics on non-communicable diseases https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases

Willcox BJ, Willcox DC, Todoriki H, Fujiyoshi A, Yano K, He Q, Curb JD, Suzuki M. Caloric restriction, the traditional Okinawan diet, and healthy aging: the diet of the world’s longest-lived people and its potential impact on morbidity and life span. Ann N Y Acad Sci. 2007 Oct;1114:434-55. doi: 10.1196/annals.1396.037

Lifestyle & Longevity: Chronic Stress And Its Management

Stress is a physiological necessity for survival, and a state we all experience from time to time. Chronic ongoing stress, however, is linked to several negative health outcomes including mental disorders, cardiovascular disease, cancers and ultimately longevity. Chronic stress is the physiological result of our natural stress response being triggered for an extended period of time. The trigger maybe psychological or physical with multiple potential causes, many of which have increased as society has evolved. These include the frenetic pace of life, social media fixation, pressurized work environments, and an increasing absence of social connectivity. General lifestyle health factors including nutrition and exercise may also contribute to negative stress by upsetting the body’s natural balance (homeostasis). Moreover, genetic predispositions, epigenetic changes in response to adverse early life events, and triggering circumstances from day-to-day life, appear to drastically increase susceptibility for some individuals.

This paper explores the role of these contributory factors, the physiological consequences on our health, disease development and longevity and proven methods of reducing or managing stress.

THE NECESSITY OF A STRESS RESPONSE

Our short-term stress response is a critical physiological outcome that has evolved over millennia to help increase our chances of survival when faced with physical or psychological challenges. The term ‘fight or flight’ is often used to describe part of the stress response when we are faced with immediate danger, and was popularized in the early twentieth century by the physiologist, Walter Cannon [Cannon WB et al., 1939].

This type of stress response is triggered following a significant physical or psychological challenge detected by our senses. Physical stressors are considered those that could overburden our physiology – like an infection, or wound for example. Psychological stressors are best described as anticipatory threats —  an example being an environmental danger. Physical and psychological stressors involve different brain circuity – some of which is overlapping [Dayas et al 2001]. This circuitry interfaces with our hormonal (endocrine) system to produce chemical mediators of the stress response. They involve two main pathways the purpose of which is to bring the body back into a dynamic balance (homeostasis), once an immediate threat has been avoided.

One pathway is mediated via what is known as the sympathetic adrenal-medullary (SAM) axis. This is often associated with physical stressors. Here activation via the brain of our sympathetic nervous system results in the release of adrenaline (also called epinephrine) and noradrenaline (norepinephrine) from the medulla region of our adrenal glands located on top of the kidneys. Noradrenaline differs from adrenaline in that it can be released from sympathetic nerve terminals in addition to the adrenal glands, and unlike adrenaline, acts as a neurotransmitter in the central nervous system. Noradrenaline release from a region of the brain known as the locus coeruleus is thought to have a role in behavioral and cognitive adaptations as part of the stress response [Valentino RJ. et al., 2008]

Both noradrenaline and adrenaline function as hormones when circulating in the blood. They act to increase vigilance, elevate the heartbeat and redirect blood flow to the skeletal muscles and brain. They increase blood glucose levels by signaling its release from glycogen stores, constrict blood vessels thereby increasing blood pressure and trigger actions in the central nervous system including promoting wakefulness and sensory signal detection. In parallel, they result in the relaxation of bronchial, intestinal and many other smooth muscles. They can also influence neural circuitry in regions of the brain to influence memory including the prefrontal cortex, amygdala and hippocampus. These effects include impaired memory recall and working memory during stress, and enhanced memory encoding (formation) and emotional memory related directly to a stressor [Cahill L et al., 2003; Tank, A. W., and Lee Wong, D. 2015; Shields GS et al., 2017].

There is also a significant stress pathway through the brain in the form of a feedback loop between two areas known as the hypothalamus and the pituitary gland, which signal to the outer area of our adrenal glands (adrenal cortex). This is collectively known as the hypothalamo-pituitary-adrenocortical (HPA) axis. Here, stress perceived via the central nervous system activates the release of two neuropeptides — corticotropin releasing hormone (CRH) and arginine vasopressin (AVP) in the hypothalamus, which activate the pituitary gland to release adrenocorticotropic hormone (ACTH). This signal reaches the adrenal cortex, which in turn triggers the release of glucocorticoid hormones, including cortisol into the blood stream. Sufficient cortisol release inhibits further signals from the brain, acting as a negative feedback loop.

Cortisol acts at several organs throughout the body. Amongst other roles, it mobilizes the production of glucose from glycogen stores in the liver — similar to adrenaline – and thereby helps increase blood glucose to the brain. Its release acts to decrease insulin in the pancreas and increase the breakdown of fats (lipolysis) from adipose tissue for energy. It also has an anti-inflammatory effect overall. This may be beneficial as inflammation  could potentially impede a fight or flight reaction. Also, an initial suppression of the immune response during stress could prevent potentially damaging overreactions by the immune system. In the absence of a stress trigger, cortisol levels naturally follow the body’s circadian rhythm, peaking in the morning and falling at night before sleep.

It’s important to note that both the SAM and HPA axes do not occur in isolation and have multiple points of interaction and cross over, including several brain structures. The purpose of these triggers and physiological responses is generally to address a short term need or danger, particularly to respond quickly to a potential survival situation – like seeing an oncoming car –  and then for the body to return to its prior steady state.

However, if the stress situation is prolonged, the body’s natural response can go into overdrive and from a physiological perspective, prolonged activation is linked to systemic inflammation in the body – which as we will see is the precursor or a biomarker of many chronic diseases – and immune dysfunction [Glaser R, et al., 2005]. Furthermore, prolonged – chronic – stress is indicated in several mental health disorders including depression, anxiety and post-traumatic stress disorder.

Several studies have shown stress pathways contribute to the pathophysiology of disease, including obesity, metabolic syndrome, gastrointestinal disorders, some forms of cancer, auto-immune and cardiovascular diseases [Cutolo M, et al., 2006; Cohen S, et al., 2007; Liu YZ et al., 2017]. We discuss linked disease states and the potential mechanisms that underly them in the next section.

CHRONIC STRESS AS CONTRIBUTORY FACTOR TO DISEASE

STRESS AS A PRECURSOR TO DEPRESSION

One of the most obvious manifestations of chronic stress is its impact on mental health, particularly increased anxiety. According to a report released by the World Health Organization, anxiety disorders affect more than 260 million people—3.6% of the global population. Anxiety is a precursor in the development of depression — stated as being the world’s leading cause of disability by the WHO. In addition, they mention the prevalence of both disorders is increasing, particularly in low- and middle-income countries possibly linked to a burgeoning population, resulting in more affected individuals.

Chronic stress instigates a number of neurotoxic processes including HPA axis dysregulation, inflammation, oxidative stress and neurotransmitter disturbances that are all thought to be implicated in the development of depression – referred to clinically as major depressive disorder (MDD). The over-drive of the HPA axis, associated increases in cortisol and a down-regulation of its negative feedback control in the brain in chronic anxiety is identified as a major precursor to the development of MDD [Pariante C.M., Lightman S.L. 2008]

Sleep disturbances are common in anxiety disorders and particularly in depression, and can manifest in several ways. General somnolence (sleepiness) or lack or energy, combined with early morning awakening are common [Fava M. 2004; Alvaro et al., 2013]. A lack of sleep, specifically,  has major implications, and can worsen symptoms in depression and anxiety.

Other risk factors include adverse life events, childhood adversity combined with genetic predispositions. Studies have shown variations (polymorphisms) in a serotonin transporter (5-HTT) gene, and Brain Derived Neurotrophic Factor (BDNF) could lower resilience to stressors and increase the risk of depression in adulthood [Aguilera et al., 2009].

THE STRESS RESPONSE AND INFLAMMATION

Although there is a large body of research indicating that chronic or severe stress causes inflammation, this appears counter-intuitive at first sight. One of the main hormones released in response to stress, cortisol, is a glucocorticoid, a type of steroid that acts to reduce inflammation by binding to receptors in immune cells and preventing the release of cytokines,  pro-inflammatory chemical mediators. In fact, two main pathways have been identified.  The first is ‘glucocorticoid resistance,’ where prolonged exposure to glucocorticoids results in a reduced sensitivity or ‘resistance’ to their anti-inflammatory effects. This is precisely what happens when the HPA axis has been chronically overactive, but it can also occur when glucocorticoid steroids are taken systemically for medical treatments [Marques, AH et al., 2009].

An alternative pathway is hypocortisolism – reduced levels of cortisol – caused by conditions such as Addison’s disease, an autoimmune disease where the adrenal glands become damaged, or issues with the signals originating from the hypothalamus or pituitary gland that mediate the release of cortisol [Betterle C et al., 2019; Huecker MR, et al., 2021 StatPearls Publishing]. The direct consequence of both mechanisms is decreased inflammatory control. This is linked to an increased susceptibility to inflammatory and autoimmune diseases. [Silverman MN, Sternberg EM. 2012; Liu YZ et al., 2017].

A recent study has implicated increases in the gene expression (epigenetic changes) of Tumor Necrosis Factor (TNF) during chronic stress, linking it to inflammation [Palma-Gudiel H, et al., 2021]. TNF increases are observed in several autoimmune and inflammatory disorders, including rheumatoid arthritis and inflammatory bowel disease [Brenner D, et al., 2015]. Furthermore, they have been linked to the pathogenesis of these diseases, and anti-TNF therapy put forward as one possible treatment [Jang DI, et al 2021].

STRESS, OBESITY AND METABOLIC SYNDROME

A number of studies have linked stress, and dysregulation of the HPA axis to a higher BMI and specifically, upper body and visceral obesity, increased waist circumferences, high blood pressure and a predisposition to the development of type 2 diabetes. [Kyrou I, et al 2006; Bose, M et al 2009; Farag NH, et al., 2008]. The latter effects are known collectively as metabolic syndrome (MetS).

Cortisol has been shown to increase the level of white adipose tissue in the abdominal area and may cause cravings for energy dense food [Fardet L, Feve B. 2014]. Furthermore, studies indicate that obese patients have high levels of cortisol exposure as measured in hair, a more reliable indicator of long-term exposure than blood, saliva and urine. This is upon comparison to individuals who are of normal weight or overweight (vs obese) [Wester VL, et al., 2014; Jackson, SE et al., 2017]

STRESS AS A CONTRIBUTOR TO CARDIOVASCULAR DISEASE

Epidemiological data indicate that chronic stress is a predictor for the long-term development of coronary heart disease [Turner AI, et al 2020; Steptoe, A., Kivimäki, M. 2012]. In addition, some short-term stressors have also been implicated in triggering myocardial infarction (heart attacks) [Steptoe, A., Kivimäki, M. 2012].

Interestingly, a reversible condition – known variously as ‘stress cardiomyopathy,’ ‘broken-heart syndrome’ or ‘tako-tsubo cardiomyopathy,’ that results in the ballooning of the left ventricle of the heart, has been linked specifically to chronic emotional stress [Kurisu S, et al., 2002; Seth, PS et al., 2003]. It mimics a myocardial infarction and occurs in the absence of other usual causes, like coronary stenosis (a blocked artery), for instance.

Although the pathways connecting stress and the onset of cardiovascular disease need specific elucidation, some clear candidates exist. An increase in blood pressure and heart rate is a known outcome of activation of the SAM axis in response to stress. This is an effect mediated by the catecholamines — noradrenaline and adrenaline, as we discussed before. When this is combined with deleterious metabolic effects through the HPA axis, and other possible underlying health issues, the increased potential risk for cardiovascular disease is made plausible [Ginty AT, et al., 2017]

STRESS, IMMUNE EFFECTS AND CANCER

There are many pathways for cross-communication between our stress response and immune system. For example, several types of white blood cells (leukocytes) responsible for our innate immunity – the fast, first line of defense against pathogens – are directly modulated by the hormone mediators of stress. Two types of adrenoceptors (alpha and beta), that bind noradrenaline and adrenaline, and the glucocorticoid receptors that are activated by cortisol, exist on the surface of many leukocytes [Segerstrom SC. and Miller JE. 2004]. T-cells and B-cells that mediate adaptive immunity (antibody-mediated) also bind noradrenaline and adrenaline.

Diverse research studies examining the effects of stress on the immune system often draw a distinction between the effects of short-term stress, of the ‘fight or ‘flight’ type, lasting minutes to hours, versus chronic or long-term stress. The latter being defined as lasting for several hours per day over weeks and months.

Short-term stress can actually enhance the immune system to an extent, particularly the innate response, mobilizing white blood cells against pathogens. This may be an evolutionary adaptation to anticipate impending injury to the body [Dhabhar, F.S. 2014].

In contrast, chronic stress starts to suppress the adaptive and innate immune response by decreasing immune cell numbers and function. This often co-occurs with low-grade inflammation through a disruption in the balance of pro-inflammatory cytokines, and is also linked to pathological autoimmune responses [Glaser R, et al 2005; Dhabhar, F.S. 2014].

Another effect that has been observed from chronic stress is an increase in the activation of latent viruses [Morey JN, et al 2015]. These are viruses that have previously been present at very low levels, or dormant in the body and re-emerge to cause illness. For example, varicella zoster— sometimes referred to as ‘chickenpox,’ lies dormant in nerve tracts (dorsal root ganglion). One possible causative factor related to its re-emergence as herpes zoster, often called shingles, has been linked to chronic stress [Thomas SL, Hall AJ. 2004].  In a study by Schmader K, et al., in 1990, psychological stress factors within the last 6 months more than doubled your risk of developing shingles. Individuals with cold sores, from the herpes simplex virus, may also note their reappearance in times of stress, although this can be attributed to a temporarily compromised immune system (T cell activity) that can no longer repress the virus [Zhang et al., 2017].

Several studies have implicated chronic stress, and its ability to suppress protective immunity in cancer progression. Stress induced changes in immune cell function (via the HPA axis) may mean they are unable to control tumor cells, increasing tumor development and the potential for metastatic cancer [Lutgendorf SK et al., 2010; Antoni MH, Dharbar, FS. 2019]. Furthermore, approximately 15% of all cancers are linked with concurrent viral infection as a risk factor — for example, human papilloma viruses (HPV) in cervical cancer, or Epstein-Barr virus in lymphoma. As mentioned above, immune dysfunction resulting from stress can reactivate these latent viruses and/or enhance viral progression [Antoni H., et al 2006]. Furthermore, stress-induced immune changes will implicitly alter the potential efficacy of immunotherapy-based cancer treatment.

The relationship with the SAM axis on tumor proliferation is complex and dependent on cancer type. For example, increases in noradrenaline and adrenaline can potentially increase circulating tumor promoting proteins in some cancer types (via the beta-adrenergic receptor) or have a protective effect in others (via the alpha adrenergic receptor)  [Armaiz-Pena GN, et al., 2013].

STRESS AND LONGEVITY

A number of studies have looked into the link between stress, telomerase activity and telomere length. Telomeres are DNA-protein complexes found at the end of our chromosomes. They shorten every time a cell replicates as we age. When they reach a critical length the cell dies. As a result, telomere length and the activity of the enzyme that helps maintain their length — telomerase – are seen as proxy determinants of ageing.

A study in 2004, looked at the correlation between stress and telomere length in the blood cells of healthy premenopausal women. Those with the highest levels of perceived stress had telomeres that indicated an additional 10 years of ageing, compared to those who had low stress levels [Epel ES,. et al., 2004].

Another meta-analysis study examined the links between stress, cortisol levels and telomere length. It showed that individuals that have acute reactivity to stress, as measured by fast spikes in salivary cortisol, exhibited statistically significant shorter telomere length (-13%). Subgroup analyses showed that female subjects and children were particularly susceptible to changes [Jiang Y, et al 2019].

Some recent research also links the pathophysiological effects of chronic stress with the specific ageing of the immune system —  known as ‘immunosenescence.’ It mimics what happens naturally as we age, and results in a weakened immune response to challenges, coupled with low grade inflammation [Fulop T, et al., 2017].

STRESS AND THE GUT: MULTIPLE CONNECTIONS

The gastrointestinal (GI) tract is particularly susceptible to dysfunction as a result of stress. Several research studies have indicated this happens through multiple interlinked pathways including the gut-brain axis, immune system, circulating hormone mediators, and changes in the balance of our gut microbiome [Mayer EA., 2000; Bhatia, V and Tandon, RK, 2005; Foster, JA et al., 2017].

The gut is one of the only organs that has an independently functioning nerve network — known as the enteric nervous system (ENS) [Spencer NJ. et al., 2020]. This dense network of neurons transmit signals predominantly through the neurotransmitter acetylcholine, but also GABA, serotonin (5HT) and vasoactive intestinal peptide (VIP).  Furthermore, it is important to note that there is a direct, two-way connection from the brain to the gut, via the vagus nerve. The vagus nerve can stimulate the HPA axis, and has anti-inflammatory roles in the gut. Some preliminary research has also shown that regulation of the vagus nerve signals travelling to the brain (afferent fibers) can occur as a result of changes in the gut microbiota, and play roles in depression and anxiety [Bonaz et al., 2017].

There are two other known pathways through which the gut microbiome can interplay with the stress response. First, it is known to play a central role in the immune and inflammatory response, through the gut-immune axis. Secondly, microbes in the gut can directly produce neurotransmitters, or their precursors that can cross the blood brain barrier [Strandwitz P. et al., 2018]

These multiple influences link stress as a potential contributor to adverse GI symptoms and disease. Indeed, ulcerative colitis and Crohn’s disease (conditions collectively termed inflammatory bowel disease – IBD), heartburn, gastric ulcers, lower abdominal pain, nausea and vomiting are just some of the GI symptoms and disorders connected to stress [Bhatia, V and Tandon, RK., 2005]. In common parlance the concept of ‘giving oneself an ulcer’ through heightened stress will be familiar.

PROVEN MECHANISMS TO MINIMISE CHRONIC STRESS

The scientific literature establishes a clear if complex link between chronic stress and negative health outcomes. Avoiding or minimizing chronic stress is therefore critical for our overall health and longevity. What then can we do to mitigate the risk?

EXERCISE

There is strong research evidence that regular aerobic exercise, of a duration as short as 30 minutes repeated 3-5 times a week can help counteract chronic stress. This should be the sort that raises your heart and breathing rate – like brisk walking or running [Anderson E, Shivakumar, G. 2013]. Indeed, three out of four studies reviewed in a meta-analysis by Kandola and colleagues  showed that increased cardiorespiratory fitness was associated with lower levels of anxiety [Kandola A, et al 2019]. In other studies, exercise and running have been put forward as effective adjunct therapies to improve mood (in combination with other approaches, including CBT or antidepressant medication) [Otto et al., 2007]. Yoga may also be beneficial to reducing symptoms of anxiety [Saeed SA., et al., 2010]. Exercise is thought to decrease the reactivity of the HPA axis and SNS system, and improve feelings of wellbeing, through reward pathways in the brain and opioid release.

SLEEP

The optimal sleep level according to recent research is between 7-8 hours per night for adults [Daza EJ et al., 2019; Chaput J,P et al., 2018]. Sleep deprivation has been shown to perturb immune function and is associated with increased anxiety levels [Pires GN. et al 2016]. Hence, aiming to optimize sleep hygiene (ie a healthy sleep environment and routines) and the number of hours spent asleep will often be beneficial in reducing stress.

NUTRITIONAL FACTORS TO HELP MITIGATE STRESS

As discussed above, the stress response can be modulated through the gut-immune axis and gut-brain axis to help regulate the stress response. A key beneficial regulator of these axes is a healthy gut-microbiome. Optimal diets for gut microbiome health (and indeed overall health) contain complex carbohydrates, fiber-rich foods, low levels of animal fats, plant-derived proteins, polyphenol-rich foods, that also includes pro- and prebiotics.

Although there is no single blueprint for a healthy gut microbiome, there are recognized microbe populations that are known to be critical. In fact, a number of research groups have specifically linked an elevated stress response and stress-related disorders to an unhealthy imbalance in the gut microbiome. This is further supported by human and animal studies that show treatment with prebiotics and probiotics can attenuate the stress response [Foster, JA. et al., 2017]. Other clinical studies indicate that introducing certain beneficial bacterium into the diet through probiotics helps reduce anxiety and stress in healthy volunteers [Allen AP et al., 2016; Patterson E et al., 2020]. Our article on ‘The Human Gut Microbiome’ explains these pathways in more detail.

Other nutrients with research support for mitigating stress pathways are Omega-3 polyunsaturated fatty acids. They have key roles in the body, including being part of cell membranes. Our body cannot make Omega 3s, so we need to take them in through food, and western diets typically lack good source. Indeed, meta analyses of 19 clinical trials showed that the intake of Omega-3 (2000mg or more, where 60%+ is in the form of eicosapentaenoic acid — EPA) resulted in a significant reduction in anxiety symptoms in affected individuals when compared to controls [Su KP et al., 2018]. Dietary rich sources of omega-3 in the optimal EPA form of Omega-3 are oily fish. Walnuts, flaxseed and flaxseed oils also contain a version of Omega-3 — Alpha-linolenic acid (ALA) that the body can convert, somewhat insufficiently, to EPA.

Caffeine is a widely consumed psychoactive compound found in tea, coffee and energy drinks. High doses of caffeine have been shown to increase adrenaline, blood pressure and cortisol levels, and likely activate the HPA axis [Lovallo, WR et al., 2005]. Eliminating or sticking to lower doses of caffeine, a single cup of coffee for example, could therefore be beneficial for alleviating a heightened stress response.

MINDFULNESS AND MEDITATION

There is increasing scientific evidence that mindfulness based interventions and meditation, can help improve symptoms of anxiety in individuals, either in combination with other methods outlined here, or alone [Hofmann SG, Gómez AF. 2017].

COGNITIVE BEHAVIOURAL THERAPY

If stress has become chronic or poses ongoing issues, cognitive behavioral therapy with a clinically trained practitioner is a peer-reviewed scientifically-validated treatment for improving symptoms. Practitioners provide interventions to counteract the negative cognitions (thoughts) that can drive psychological stress [Borza. L. 2017].

SOCIAL CONNECTIVITY

Humans evolved to be social, and our ancestors lived in extended family groups. Loneliness and social isolation have been shown to increase both SAM and HPA activation and decrease inflammatory control, immunity and sleep [Cacioppo JT, et al 2013]. Taking regular time out to connect with other people in a meaningful way, face to face, can therefore have a beneficial effect for stress reduction. Note, by contrast, that excessive ‘social media’ use, although a popular way of connecting with others online, is associated with increased levels of anxiety and stress and should therefore be avoided [Shensa A. et al 2018].

TAKING TIME OUT FOR RELAXATION

Hobbies, interests and time for general relaxation, where we unplug and disconnect from work, and the frenetic pace of life are critical to reducing psychological stress. [Sharifian N, et al 2020]

In particular, walking in nature has been seen to improve mood in those with major depressive disorders [Berman MG, et al 2012].

MEDICAL TREATMENT

Seeking the help of a healthcare professional is advised if chronic stress is causing problematic issues over an extended period. Pharmacological interventions (treatment with medicines) may be advised in some cases.

ALCOHOL

Imbibing alcohol has long been used as a stress-reduction technique. It can reduce inhibitions, elevate mood and boost confidence in the presence of social anxiety triggers. These outcomes are achieved incredibly quickly via the brain-reward pathways (dopamine), opioid release and GABAA receptor [Turton, S et al., 2020]. In the longer term, alcohol acts to decrease activity in the same pathways, increase anxiety and is a depressant [Turton, S et al 2020; Le Marquand D et al., 1994]. Unfortunately this beneficial relationship often leads to a negative codependence and explains why alcoholism is present in a significant percentage of mental health disorders, particularly with men. We explore the effects of alcohol on mood further in our article ‘Alcohol: a health and longevity disruptor. How much is too much?’

CONCLUSION

Stress as a physiological response serves a critical function to human survival and wellbeing. We have summarized how ongoing chronic stress can disturb homeostasis, and contribute to the pathophysiology of disease and be deleterious to our health. There are a multitude of physiological mechanisms involved, several are linked to downstream inflammatory effects via the immune system that are instigated by the overdrive of the HPA axis. Although stress cannot be eliminated from modern day existence, utilizing stress reduction techniques can help mitigate the development and minimize the effects of chronic stress and the health risks that poses.

© SX2 VENTURES (2021)

___________

REFERENCES

Anderson E, Shivakumar G. Effects of exercise and physical activity on anxiety. Front Psychiatry. 2013;4:27. Published 2013 Apr 23. doi:10.3389/fpsyt.2013.00027

Antoni MH, Lutgendorf SK, Cole SW, et al. The influence of bio-behavioral factors on tumor biology: pathways and mechanisms. Nat Rev Cancer. 2006;6(3):240-248. doi:10.1038/nrc1820

Antoni MH, Dhabhar FS. The impact of psychosocial stress and stress management on immune responses in patients with cancer. Cancer. 2019;125(9):1417-1431. doi:10.1002/cncr.31943

Aguilera M, Arias B, Wichers M, Barrantes-Vidal N, Moya J, Villa H, van Os J, Ibáñez MI, Ruipérez MA, Ortet G, Fañanás L. Early adversity and 5-HTT/BDNF genes: new evidence of gene-environment interactions on depressive symptoms in a general population. Psychol Med. 2009

Alvaro PK, Roberts RM, Harris JK. A Systematic Review Assessing Bidirectionality between Sleep Disturbances, Anxiety, and Depression. Sleep. 2013 Jul 1;36(7):1059-1068. doi: 10.5665/sleep.2810. PMID: 23814343; PMCID: PMC3669059.

Armaiz-Pena GN, Cole SW, Lutgendorf SK, Sood AK. Neuroendocrine influences on cancer progression. Brain Behav Immun. 2013;30 Suppl(Suppl):S19-S25. doi:10.1016/j.bbi.2012.06.005

Baxter AJ, Scott KM, Ferrari AJ, Norman RE, Vos T, Whiteford HA. Challenging the myth of an “epidemic” of common mental disorders: trends in the global prevalence of anxiety and depression between 1990 and 2010. Depress Anxiety. 2014 Jun;31(6):506-16. doi: 10.1002/da.22230. Epub 2014 Jan 21. PMID: 24448889.

Betterle C, Presotto F, Furmaniak J. Epidemiology, pathogenesis, and diagnosis of Addison’s disease in adults. J Endocrinol Invest. 2019 Dec;42(12):1407-1433. doi: 10.1007/s40618-019-01079-6. Epub 2019 Jul 18. PMID: 31321757.

Berman MG, Kross E, Krpan KM, Askren MK, Burson A, Deldin PJ, Kaplan S, Sherdell L, Gotlib IH, Jonides J. Interacting with nature improves cognition and affect for individuals with depression. J Affect Disord. 2012 Nov;140(3):300-5. doi: 10.1016/j.jad.2012.03.012. Epub 2012 Mar 31. PMID: 22464936; PMCID: PMC3393816.

Bonaz B, Sinniger V, Pellissier S. The Vagus Nerve in the Neuro-Immune Axis: Implications in the Pathology of the Gastrointestinal Tract. Front Immunol. 2017;8:1452. Published 2017 Nov 2. doi:10.3389/fimmu.2017.01452

Borza L. Cognitive-behavioral therapy for generalized anxiety. Dialogues Clin Neurosci. 2017 Jun;19(2):203-208. doi: 10.31887/DCNS.2017.19.2/lborza. PMID: 28867944; PMCID: PMC5573564.

Bose M, Oliván B, Laferrère B. Stress and obesity: the role of the hypothalamic-pituitary-adrenal axis in metabolic disease. Curr Opin Endocrinol Diabetes Obes. 2009;16(5):340-346. doi:10.1097/MED.0b013e32832fa137

Bhatia, V and Tandon, RK. Stress and the gastrointestinal tract Journal of Gastroenterology and Hepatology (2005) 20, 332–339 DOI: 10.1111/j.1400-1746.2004.03508.x

Brenner D, Blaser H, Mak TW. Regulation of tumor necrosis factor signaling: live or let die. Nat Rev Immunol. 2015 Jun;15(6):362-74. doi: 10.1038/nri3834. PMID: 26008591.

Cahill L, Gorski L, Le K. Enhanced human memory consolidation with post-learning stress: interaction with the degree of arousal at encoding. Learn Mem. 2003;10(4):270-274. doi:10.1101/lm.62403

Cannon WB, Lissak K. Evidence for adrenaline in adrenergic neurones. Am. J. Physiol. 1939;125:765–777.

Cacioppo JT, Hawkley LC, Norman GJ, Berntson GG. Social isolation. Ann N Y Acad Sci. 2011 Aug;1231(1):17-22. doi: 10.1111/j.1749-6632.2011.06028.x. Epub 2011 Jun 8. PMID: 21651565; PMCID: PMC3166409.

Cohen S, Janicki-Deverts D, Miller GE. Psychological stress and disease. JAMA. 2007 Oct 10;298(14):1685-7. doi: 10.1001/jama.298.14.1685. PMID: 17925521.

Cutolo M, Straub RH. Stress as a risk factor in the pathogenesis of rheumatoid arthritis. Neuroimmunomodulation. 2006;13(5-6):277-82. doi: 10.1159/000104855. Epub 2007 Aug 6. PMID: 17709949.

Dayas, C. V., Buller, K. M., Crane, J. W., Xu, Y., and Day, T. A.. Stressor categorization: acute physical and psychological stressors elicit distinctive recruitment patterns in the amygdala and in medullary noradrenergic cell groups. Eur. J. Neurosci. 2001: 14, 1143–1152. doi: 10.1046/j.0953-816x.2001.01733.x

Dhabhar, F.S. Effects of stress on immune function: the good, the bad, and the beautiful. Immunol Res 58, 193–210 (2014). https://doi.org/10.1007/s12026-014-8517-0

Epel ES, Blackburn EH, Lin J, et al. Accelerated telomere shortening in response to life stress. Proc Natl Acad Sci U S A. 2004;101(49):17312-17315. doi:10.1073/pnas.0407162101

Farag NH, Moore WE, Lovallo WR, Mills PJ, Khandrika S, Eichner JE. Hypothalamic-pituitary-adrenal axis function: relative contributions of perceived stress and obesity in women. J Womens Health (Larchmt). 2008 Dec;17(10):1647-55. doi: 10.1089/jwh.2008.0866. PMID: 19049359; PMCID: PMC2945932.

Fava M. Daytime sleepiness and insomnia as correlates of depression. J Clin Psychiatry. 2004;65 Suppl 16:27-32. PMID: 15575802.

Foster JA, Rinaman L, Cryan JF. Stress & the gut-brain axis: Regulation by the microbiome. Neurobiol Stress. 2017 Mar 19;7:124-136. doi: 10.1016/j.ynstr.2017.03.001. PMID: 29276734; PMCID: PMC5736941.

Ginty AT, Kraynak TE, Fisher JP, Gianaros PJ. Cardiovascular and autonomic reactivity to psychological stress: Neurophysiological substrates and links to cardiovascular disease. Auton Neurosci. 2017 Nov;207:2-9. doi: 10.1016/j.autneu.2017.03.003. Epub 2017 Mar 16. PMID: 28391987; PMCID: PMC5600671.

Glaser R, Kiecolt-Glaser JK. Stress-induced immune dysfunction: implications for health. Nat Rev Immunol. 2005 Mar;5(3):243-51. doi: 10.1038/nri1571. PMID: 15738954.

Heim, C., Ehlert, U., Hellhammer. D H.. The potential role of hypocortisolism in the pathophysiology of stress-related bodily disorders. Psychoneuroendocrinology. (2000)

25 (1):1-35 https://doi.org/10.1016/S0306-4530(99)00035-9.

Huecker MR, Bhutta BS, Dominique E. Adrenal Insufficiency. 2021 Feb 7. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan–. PMID: 28722862.

Jang DI, Lee AH, Shin HY, et al. The Role of Tumor Necrosis Factor Alpha (TNF-α) in Autoimmune Disease and Current TNF-α Inhibitors in Therapeutics. Int J Mol Sci. 2021;22(5):2719. Published 2021 Mar 8. doi:10.3390/ijms22052719

Jiang Y, Da W, Qiao S, et al. Basal cortisol, cortisol reactivity, and telomere length: A systematic review and meta-analysis. Psychoneuroendocrinology. 2019;103:163-172. doi:10.1016/j.psyneuen.2019.01.022

Jackson SE, Kirschbaum C, Steptoe A. Hair cortisol and adiposity in a population-based sample of 2,527 men and women aged 54 to 87 years. Obesity (Silver Spring) 2017;25(3):539–544

Lovallo WR, Whitsett TL, al’Absi M, Sung BH, Vincent AS, Wilson MF. Caffeine stimulation of cortisol secretion across the waking hours in relation to caffeine intake levels. Psychosom Med. 2005;67(5):734-739. doi:10.1097/01.psy.0000181270.20036.06

Liu YZ, Wang YX, Jiang CL. Inflammation: The Common Pathway of Stress-Related Diseases. Front Hum Neurosci. 2017;11:316. Published 2017 Jun 20. doi:10.3389/fnhum.2017.00316

Kandola A, Ashdown-Franks G, Stubbs B, Osborn DPJ, Hayes JF. The association between cardiorespiratory fitness and the incidence of common mental health disorders: A systematic review and meta-analysis. J Affect Disord. 2019;257:748-757. doi:10.1016/j.jad.2019.07.088

Kyrou I, Chrousos GP, Tsigos C. Stress, visceral obesity, and metabolic complications. Ann N Y Acad Sci. 2006;1083:77–110

Kurisu S, Sato H, Kawagoe T, Ishihara M, Shimatani Y, Nishioka K, Kono Y, Umemura T, Nakamura S. Tako-tsubo-like left ventricular dysfunction with ST-segment elevation: a novel cardiac syndrome mimicking acute myocardial infarction. Am Heart J. 2002 Mar;143(3):448-55. doi: 10.1067/mhj.2002.120403. PMID: 11868050.

Otto MW, Church TS, Craft LL, Greer TL, Smits JA, Trivedi MH. Exercise for mood and anxiety disorders. Prim Care Companion J Clin Psychiatry. 2007;9(4):287-294. doi:10.4088/pcc.v09n0406

Palma-Gudiel H, Prather AA, Lin J, Oxendine JD, Guintivano J, Xia K, Rubinow DR, Wolkowitz O, Epel ES, Zannas AS. HPA axis regulation and epigenetic programming of immune-related genes in chronically stressed and non-stressed mid-life women. Brain Behav Immun. 2021 Feb;92:49-56. doi: 10.1016/j.bbi.2020.11.027. Epub 2020 Nov 19. PMID: 33221485; PMCID: PMC7897273.

Pariante C.M., Lightman S.L. The HPA axis in major depression: classical theories and new developments. Trends Neurosci. 2008;31(9):464–468. doi: 10.1016/j.tins.2008.06.006.

Patterson E, Griffin SM, Ibarra A, Ellsiepen E, Hellhammer J. Lacticaseibacillus paracasei Lpc-37® improves psychological and physiological markers of stress and anxiety in healthy adults: a randomized, double-blind, placebo-controlled and parallel clinical trial (the Sisu study). Neurobiol Stress. 2020;13:100277. Published 2020 Nov 24. doi:10.1016/j.ynstr.2020.10027

Pires GN, Bezerra AG, Tufik S, Andersen ML. Effects of acute sleep deprivation on state anxiety levels: a systematic review and meta-analysis. Sleep Med. 2016 Aug;24:109-118. doi: 10.1016/j.sleep.2016.07.019. Epub 2016 Aug 27. PMID: 27810176.

Marques AH, Silverman MN, Sternberg EM. Glucocorticoid dysregulations and their clinical correlates. From receptors to therapeutics. Ann N Y Acad Sci. 2009;1179:1-18. doi:10.1111/j.1749-6632.2009.04987.x

MAYER EA The neurobiology of stress and gastrointestinal disease Gut 2000;47:861-869.

Morey JN, Boggero IA, Scott AB, Segerstrom SC. Current Directions in Stress and Human Immune Function. Curr Opin Psychol. 2015;5:13-17. doi:10.1016/j.copsyc.2015.03.007

Tank, A. W., and Lee Wong, D. (2015). Peripheral and central effects of circulating catecholamines. Compr. Physiol. 5, 1–15. doi: 10.1002/cphy.c140007

Thomas SL, Hall AJ. What does epidemiology tell us about risk factors for herpes zoster? Lancet Infect Dis. 2004 Jan;4(1):26-33. doi: 10.1016/s1473-3099(03)00857-0. PMID: 14720565.

Turton, S., Myers, J.F., Mick, I. et al. Blunted endogenous opioid release following an oral dexamphetamine challenge in abstinent alcohol-dependent individuals. Mol Psychiatry 25, 1749–1758 (2020). https://doi.org/10.1038/s41380-018-0107-4

Saeed SA, Antonacci DJ, Bloch RM. Exercise, yoga, and meditation for depressive and anxiety disorders. Am Fam Physician. 2010 Apr 15;81(8):981-6. PMID: 20387774.

Salari N, Hosseinian-Far A, Jalali R, Vaisi-Raygani A, Rasoulpoor S, Mohammadi M, Rasoulpoor S, Khaledi-Paveh B. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis. Global Health. 2020 Jul 6;16(1):57. doi: 10.1186/s12992-020-00589-w. PMID: 32631403; PMCID: PMC7338126.

Seth PS, Aurigemma GP, Krasnow JM, Tighe DA, Untereker WJ, Meyer TE. A syndrome of transient left ventricular apical wall motion abnormality in the absence of coronary disease: a perspective from the United States. Cardiology. 2003;100(2):61-6. doi: 10.1159/000073040. PMID: 14557691.

Schmader K, Studenski S, MacMillan J, Grufferman S, Cohen HJ. Are stressful life events risk factors for herpes zoster? J Am Geriatr Soc. 1990;38:1188–94.

Sharifian N, Gu Y, Manly JJ, et al. Linking depressive symptoms and cognitive functioning: The mediating role of leisure activity. Neuropsychology. 2020;34(1):107-115. doi:10.1037/neu0000595

Shensa A, Sidani JE, Dew MA, Escobar-Viera CG, Primack BA. Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis. Am J Health Behav. 2018 Mar 1;42(2):116-128. doi: 10.5993/AJHB.42.2.11. PMID: 29458520; PMCID: PMC5904786.

Silverman MN, Sternberg EM. Glucocorticoid regulation of inflammation and its functional correlates: from HPA axis to glucocorticoid receptor dysfunction. Ann N Y Acad Sci. 2012 Jul;1261:55-63. doi: 10.1111/j.1749-6632.2012.06633.x. PMID: 22823394; PMCID: PMC3572859.

Spencer NJ, Hu H. Enteric nervous system: sensory transduction, neural circuits and gastrointestinal motility. Nat Rev Gastroenterol Hepatol. 2020;17(6):338-351. doi:10.1038/s41575-020-0271-2

Stasi C, Orlandelli E. Role of the brain-gut axis in the pathophysiology of Crohn’s disease. Dig Dis. 2008;26(2):156-66. doi: 10.1159/000116774. Epub 2008 Apr 21. PMID: 18431066.

Strandwitz P. Neurotransmitter modulation by the gut microbiota. Brain Res. 2018;1693(Pt B):128-133. doi:10.1016/j.brainres.2018.03.015

Steptoe, A., Kivimäki, M. Stress and cardiovascular disease. Nat Rev Cardiol 9, 360–370 (2012). https://doi.org/10.1038/nrcardio.2012.45

Su KP, Tseng PT, Lin PY, et al. Association of Use of Omega-3 Polyunsaturated Fatty Acids With Changes in Severity of Anxiety Symptoms: A Systematic Review and Meta-analysis. JAMA Netw Open. 2018;1(5):e182327. Published 2018 Sep 7. doi:10.1001/jamanetworkopen.2018.2327

Valentino RJ, Van Bockstaele E. Convergent regulation of locus coeruleus activity as an adaptive response to stress. Eur J Pharmacol. 2008 Apr 7;583(2-3):194-203. doi: 10.1016/j.ejphar.2007.11.062. Epub 2008 Jan 19. PMID: 18255055; PMCID: PMC2349983.

Wester VL, Staufenbiel SM, Veldhorst MA, Visser JA, Manenschijn L, Koper JW, Klessens-Godfroy FJ, van den Akker EL, van Rossum EF. Long-term cortisol levels measured in scalp hair of obese patients. Obesity (Silver Spring). 2014 Sep;22(9):1956-8. doi: 10.1002/oby.20795. Epub 2014 May 23. PMID: 24852462.

Zhang J, Liu H, Wei B. Immune response of T cells during herpes simplex virus type 1 (HSV-1) infection. J Zhejiang Univ Sci B. 2017;18(4):277-288. doi:10.1631/jzus.B1600460

Alcohol, Health & Longevity: How Much is Too Much?

Alcohol has long been accepted as a socially acceptable ‘recreational drug.’ There is evidence of humans drinking beverages fermented with yeast in 9000 BC and it is likely that our species, and ape predecessors, were eating fermented fruits well before this timeline.

The trademark social effects of alcohol result when it binds and activates the main inhibitory receptor in our central nervous system – the GABA(A) receptor – and the effect is one that peoples around the world have embraced as part of their customs and cultures. However, the metabolism of ethanol – the active ingredient in alcoholic drinks – produces a number of toxic byproducts that have deleterious effects and require elimination from the body, primarily by the liver. Excess consumption amplifies these toxic effects and is an established risk factor in a number of life-limiting non-communicable diseases (NCDs) including liver cirrhosis, stroke, cardiovascular disease and many cancers.

Alcohol also acts as a depressant in the central nervous system and so can have knock on effects on mental health. Furthermore, its high caloric content can contribute to weight gain, obesity [Albani V, et al., 2018] and type 2 diabetes [Baliunas DO et al., 2009]. The World Health Organisation attribute 2.6 million deaths each year to excess alcohol use. That is approximately 50% more than the global death count from COVID-19 in 2020, and is a recurring annual total.

In this article, we examine the peer reviewed scientific evidence for unbiased studies on alcohol consumption and its health effects. To this end, we ask a number of key questions: How does our body process alcohol? What NCDs does it contribute to and how? Are there any beneficial health effects seen with alcohol? How does it affect longevity and ageing? Ultimately – how much is too much?

HOW DO OUR BODIES PROCESS ALCOHOL: WHAT ARE THE PHYSIOLOGICAL EFFECTS?

Alcohol is readily absorbed in the gastrointestinal tract and crosses membranes by diffusion to enter the blood stream. Approximately 20% is absorbed in the stomach and 80% in the small intestine, from where it is distributed by diffusion and blood flow to all our tissues and fluids based on their relative water content. Alcohol crosses the blood-brain barrier for example. Drinking on an empty stomach results in faster absorption into the blood stream, via the small intestine, such that blood alcohol levels peak at a faster rate.

The form of alcohol contained in beverages is ethanol and, once absorbed into the body, it is used as an energy source in place of glucose, with metabolism taking place predominantly in the liver (but also in the pancreas, stomach and brain). It is broken down by enzymes and mutations in the genes for these enzymes mean that some individuals process alcohol more quickly than others.

The main initial byproduct of alcohol metabolism is acetaldehyde, a highly reactive toxin that causes tissue damage and the formation of molecular reactive oxygen species (ROS). Acetaldehyde is then further broken down into a less toxic compound, acetate. Chronic alcohol consumption leaves excessive acetaldehyde residue in our bodies causing toxicity across multiple pathways.

Alcohol consumption decreases production of anti-diuretic hormone in the pituitary gland resulting in increased urination and dehydration the following day. Alterations in neurotransmitter levels can be observed in several brain regions following drinking, including in GABA and glutamate [Fliegel et al., 2013] resulting in a number of potential positive and negative impacts on mood. On average it takes our bodies one hour to breakdown and eliminate 8 g of alcohol.

AN EVIDENCE BASED LOOK AT THE RISKS OF CHRONIC DISEASE DEVELOPMENT

CANCER

The International Agency for Research on Cancer (IARC-WHO group) has listed alcohol as a carcinogen for many site-specific cancers for over two decades. The latest to be added in 2010 were colorectal and female breast cancer due to mounting research evidence (IARC Working Group, 2010).

Looking in more detail at the scientific literature, several peer-review publications, have linked all types of drinking (from light to heavy) as a risk factor for several cancers in a dose-dependent manner. In a meta-analysis of 572 studies examining 23 types of cancer the most significant increase was observed for oesophageal (squamous cell carcinoma variant) and oral/pharyngeal cancer at ~five-fold (4.95 and 5.13 respectively) for heavy drinkers. This group also saw a 1.6 times increased risk for breast cancer.

A prior large-scale analysis of 53 epidemiological studies for breast cancer incidence in women has shown that the relative risk of breast cancer increased by 7% for each additional 10 g per day intake of alcohol [Hamajima N, et al 2002]. Another recent study in Australia, covering 225K+ individuals stipulated that drinking in a concentrated way, over 3 days, versus spreading the same amount over 4-7 days could increase breast cancer risk [Sarich, P et al., 2021].

CARDIOVASCULAR DISEASE

There are numerous studies that have evaluated the low-risk limits for developing cardiovascular disease (CVD) and conversely, potential cardio-protective effects of moderate drinking, with some conflicting results. For example, in a 2018 combined analysis of close to 600K current drinkers, published in The Lancet, life-limiting effects were observed for CVDs in a dose-dependent manner with increasing alcohol intake. These included incidence of stroke (+14%), fatal hypertensive disease (+15%), fatal aortic aneurysm (+24%) with each 100 g of additional alcohol consumed a week above a low baseline of 25 g.

The question has also been posed as to whether there is any evidence for cardio-protective effects at low intake levels. There have been large scale studies suggestive of a protective effect [E.g. Bell, S et al., 2017]. However, there is very strong evidence to the contrary. For example, a large scale meta-analysis of close to 4 million individuals has concluded there is no benefit to mortality or protective effect to drinking at a moderate to low level (1.3-24.9 g ethanol per day) [Stockwell et al., 2016]. Furthermore, both this and other research has specifically challenged the outcomes of studies showing the protective effects of moderate alcohol intake [Knott CS et al., 2015; Burton R, Sheron N et al., 2018]. They cite inherent bias in research to date, including the inappropriate selection of reference groups and confounding factors.

DEPRESSION AND MOOD

Alcohol elevates mood during consumption through increased firing in the brain reward circuits (dopamine pathways), and opioid release [Turton, S et al., 2020]. However, in the long term, it has been shown to decrease activity in the same neurons and disrupt and impair serotonin signalling [Turton, S et al 2020; Le Marquand D et al., 1994].

There is evidence that heavy alcohol use is comorbid (co-occurs) with psychiatric disorders. A study by Palzes et al., in  2020 in 2.7 million patients showed those with depression and anxiety were more likely than other psychiatric groups to be exceeding the weekly US limit for alcohol (> 196 g/week for men or >98 g/week for women). Several studies note that alcohol consumption, anxiety and depression can have a bidirectional relationship.

Furthermore, whilst alcohol has sedative effects and can make you fall asleep quickly, it is a significant disruptor of sleep. It decreases slow wave (deep sleep), and causes the shortening of sleep cycles so that you awaken early [Thakkar MM et al., 2015]. Both of the latter effects can lower mood, increase fatigue and contribute to hangover symptoms.

IMMUNE FUNCTION

Elevated blood concentrations of ethanol have been shown to interfere directly with the functioning of the innate and adaptive immune response. The former is cell-mediated and is a first line of defence against pathogens, and the second is antibody-mediated. In acute alcohol exposure, the ability of white blood cells to recognise key markers of bacterial pathogens is disrupted, and can result in an increased susceptibility to disease [Szabo G, Saha B. 2015].

Binge drinking, consuming between 57-74 g (~7-9 UK units) of alcohol, was shown to immediately suppress innate immunity and overactive it hours later [Afshar et al., 2015]. Other research shows that chronic intake reduced T-cell numbers, accelerated viral infection and impaired wound healing [Molina, PE et al 2010].

Several research analyses show a disruption in the gut microbiome after alcohol consumption, this includes overgrowth and dysbiosis or increase in ‘bad’ Vs ‘good’ bacteria. This has been linked to liver disease progression [Hartmann P et al., 2015]. The gut may also become more ‘leaky’ to pathogens after chronic intake. [Barr, T. et al., 2017; Sureshchandra, S. et al., 2019].  The only positive correlation seen in the gut was an increase in beneficial Bifidobacteria after a limited intake of red wine (max 272 ml). A de-alcoholized version also had the same effects which were attributed to polyphenols, also found in brightly coloured fruits and vegetables [Queipo-Ortuño MI, et al., 2012].

In the brain, chronic drinking has been shown to activate the innate immune system persistently, so it enters a state of inflammation, which can have implications for cognitive function, the development of dementia , Alzheimer’s and neurodegeneration [Coleman LG Jr, Crews FT. 2018].

LIVER DISEASE

The liver is the primary organ responsible for the metabolism of alcohol and chronic exposure impacts the liver most directly potentially leading to alcoholic liver disease. The first stage is steatosis (fatty liver), which is reversible but which can also progress to hepatitis and cirrhosis (fibrosis), and finally fatal liver failure. Cirrhosis has been cited as the leading cause of death due to alcohol among adults in Europe. Women have been shown to be more susceptible than men. In addition, obesity or a diet high in fat are also shown to increase the risk levels  [European Association for the study of the liver.].

Research sources state that 30-50 g (2-3 standard US drinks or 3.75-6.35 UK units) of alcohol per day over 5 years is enough to cause liver disease [Patel R, Mueller M. 2020]. 

HOW DOES ALCOHOL AFFECT LONGEVITY AND AGEING?

A large scale study looked at the effects of adopting 5 low-risk lifestyle-related factors on longevity in US adults, over a period of 30+ years, of which alcohol consumption was one factor [Li Y et al., 2018] concluded that, when all 5 lifestyle factors were adopted including moderate alcohol consumption (5-14.9g per day for women, or 5-29.9 g per day for men), life expectancy could increase by 12-14 years. In another 2018 study, primarily examining CVD risks, Wood and colleagues concluded that the threshold for the lowest risk of all-cause mortality in 600K individuals was about 100g of alcohol a week.

In a recently published study in the Netherlands [van den Brandt et al., 2020], 7,807 individuals born in 1916-1917, were asked to complete lifestyle questionnaires when they reached between 68-70 years of age. Those who reached the age of 90 were revisited. The study concluded that the highest probability of reaching 90 years of age was found for those drinking 5-15 g alcohol/day (35-105 g/week). Although not as significant, the risk estimates showed a deleterious effect of binge drinking on longevity, that suggests it should be avoided.

WHAT ARE THE SUGGESTED ALCOHOL CONSUMPTION LIMITS TO LIMIT HEALTH RISKS?

Low-risk limits recommended for alcohol consumption vary substantially across individual national guidelines. They are usually set in grams, ‘standard drinks’ or ‘units’ of alcohol depending on the part of the world and, in addition to volume, alcoholic strength is the other main element to take into account when measuring consumption. As what constitutes a unit in the UK, or a standard drink – a type of measure used in EU, US and Australian guidelines can differ – we state recommendations in grams for clarity. [NB: Conversions between international units and differences in standard drinks are available at the end of this article]

In the UK, the limit is currently set at a maximum of 112 g a week (equivalent to 14 UK units), with designated drink-free days advised. Daily recommendations state that women should not consume more than 16-18 g a day (2-3 UK units) and men 18 – 24 g a day (3-4 UK units).

In continental Europe, recommended limits can be much higher. For example, Spain has one of the highest upper limits of 168 g for women and 280 g for men. In France, the suggested limits were 140 g for women and 208 g for men, but have recently been drastically reduced to two drinks a day, or a maximum of ten drinks per week equating to 100 g.

In the US, health bodies state that men should not exceed two ‘standard drinks’ a day and women a single drink, where one standard drink equates to a bottle of 5% strength beer or a medium glass of wine (5 oz or 150ml). This equates to a weekly limit of 98 g a week for women and 196 g for men. Australian guidelines recommend no more than 140 g a week for both men and women.

SO HOW MUCH IS TOO MUCH?

It is clear that there is no definitive amount for risk thresholds for alcohol consumption, with different conclusions being drawn based on the specific disease outcome being studied, as well as other study parameters. Moreover, individual responses to alcohol consumption vary based on personal factors. In fact, the WHO states there is no safe daily intake level of alcohol, citing the best option is not to drink at all. However, when reviewing the scientific literature, we can make reasonable inferences given the research to date.

The risk of all-cause mortality likely rises from >100g of alcohol a week [Wood AM, et al., 2018]. This corresponds with the 105g limit in a Netherlands-based study for longevity [van den Brandt et al., 2020]. It is interesting to note, however, that 100g per week of alcohol is below nearly all national guidelines for current alcohol consumption, apart from the US recommended limit for women. 

Numerous studies point to a daily tipping point of 30 g a day, after which numerous deleterious effects including cardiovascular outcomes, cancer development and liver disease, become evident. Cancer risk can be dose dependent with the worst outcomes in those with heavy drinking at >50g a day. In the case of depression and mood disorders, thresholds of >196 g a week for men and >98g a week for women have been associated with poor outcomes [Palzes et al., 2020] More generally, a large body of evidence indicates that binge drinking should be avoided and is harmful to health and longevity outcomes.

Combining these weekly and daily suggestions, there seems to be some scientific consensus that 100-105g per week is an important threshold and that a daily intake of no more than 15-25 g per day, allowing for dedicated non-consumption days, is a reasonable limit to adopt for health and longevity purposes. These suggestions are generic and do not consider personal tolerances. Moreover, the specific recommendation of 15-25 g per day, within a 100-105 g week, has not been independently corroborated in specific studies.

CONCLUSIONS

Numerous high quality studies show that above a certain threshold alcohol consumption increases the incidence of several chronic and life-limiting diseases. Whilst the threshold is likely to vary from person to person, a reasonable weekly target, if alcohol is consumed at all, is to adopt is 105 g, whilst avoiding concentrated drinking in excess of 25 g per day. In UK terms, these limits practically correspond to 13 units per week, limiting daily intake to 3 units, and in the US to 7 standard drinks a week — with no more than 2 per day. Many people exceed these limits and the national guidelines of many countries are higher, which might suggest that national limits are rather liberal. However, the structure limits we identify are the limits at which, per the scientific literature reviewed, health risks are elevated across a wide section of subjects.  

© SX2 VENTURES (2021)

 __________

Conversions explained

1 UK unit = 8g alcohol

1 EU standard drink = 10g alcohol

1 US fluid oz = 29.57 ml (~30 ml)

1 US standard drink = 14g of alcohol

1 Australian standard drink = 10g of alcohol

1 UK pint = 568 ml

105 g/week is equal to:

13 UK units

6 (5.6 to be exact) medium glasses (175 ml) of wine (13.5%)

4 (3.9 to be exact) large glasses (250 ml) of wine (13.5%)

6.5 pints of low-strength beer (3.6%)

4.5 pints of strong beer (5.2%)

__________

Note from the author: Alcohol use can cause a huge variety of other issues, including intoxication related injuries, drink drive accidents, violence, aggression, causing harm to the unborn foetus, which are beyond the scope of this article. Drinking responsibly is a critical personal obligation.

__________

References

Afshar M, Richards S, Mann D, et al. Acute immunomodulatory effects of binge alcohol ingestion. Alcohol. 2015;49(1):57–64.

Albani V, Bradley J, Wrieden WL, et al. Examining Associations between Body Mass Index in 18⁻25 Year-Olds and Energy Intake from Alcohol: Findings from the Health Survey for England and the Scottish Health Survey. Nutrients. 2018;10(10):1477. Published 2018 Oct 10. doi:10.3390/nu10101477

Alcohol Consumption and Ethyl Carbamate. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans Volume 96 ISBN-13 (Print Book) 978-92-832-1296-6

Barr T, Helms C, Grant K, Messaoudi I. Opposing effects of alcohol on the immune system. Prog Neuropsychopharmacol Biol Psychiatry. 2016;65:242–251. doi:10.1016/j.pnpbp.2015.09.001

Baliunas DO, Taylor BJ, Irving H, Roerecke M, Patra J, Mohapatra S, Rehm J

 Alcohol as a risk factor for type 2 diabetes: A systematic review and meta-analysis.

Diabetes Care. 2009 Nov; 32(11):2123-32.

Bellentani S, Saccoccio G, Costa G, Tiribelli C, Manenti F, Sodde M, et al. Drinking habits as cofactors of risk for alcohol induced liver damage. The Dionysos Study Group. Gut. 1997;41:845–850.

Bagnardi, V., Rota, M., Botteri, E. et al. Alcohol consumption and site-specific cancer risk: a comprehensive dose–response meta-analysis. Br J Cancer 112, 580–593 (2015). https://doi.org/10.1038/bjc.2014.579

Coleman LG Jr, Crews FT. Innate Immune Signaling and Alcohol Use Disorders. Handb Exp Pharmacol. 2018;248:369-396. doi:10.1007/164_2018_92

Burton R, Sheron N. No level of alcohol consumption improves health. Lancet. 2018 Sep 22;392(10152):987-988. doi: 10.1016/S0140-6736(18)31571-X. Epub 2018 Aug 23. PMID: 30146328.

Chen P, Schnabl B. Host-microbiome interactions in alcoholic liver disease. Gut and Liver. 2014;8(3):237–241.

Centanni SW, Bedse G, Patel S, Winder DG. Driving the Downward Spiral: Alcohol-Induced Dysregulation of Extended Amygdala Circuits and Negative Affect. Alcohol Clin Exp Res. 2019 Oct;43(10):2000-2013. doi: 10.1111/acer.14178. Epub 2019 Aug 30. PMID: 31403699; PMCID: PMC6779502.

de la Monte SM, Kril JJ. Human alcohol-related neuropathology. Acta Neuropathol. 2014 Jan;127(1):71-90. doi: 10.1007/s00401-013-1233-3. Epub 2013 Dec 27. PMID: 24370929; PMCID: PMC4532397.

Dietary Guidelines for Americans. U.S. Department of Agriculture and U.S. Department of Health and Human Services. 2020 – 2025. 9th Edition, Washington, DC; 2020.

European Association for the Study of Liver. EASL clinical practical guidelines: management of alcoholic liver disease. J Hepatol. 2012;57:399–420

Foulds JA, Adamson SJ, Boden JM, Williman JA, Mulder RT. Depression in patients with alcohol use disorders: Systematic review and meta-analysis of outcomes for independent and substance-induced disorders. J Affect Disord. 2015 Oct 1;185:47-59. doi: 10.1016/j.jad.2015.06.024. Epub 2015 Jun 23. PMID: 26143404.

Hamajima N, Hirose K, Tajima K, et al. Alcohol, tobacco and breast cancer – collaborative reanalysis of individual data from 53 epidemiological studies, including 58,515 women with breast cancer and 95,067 women without the disease. Br J Cancer 2002; 87: 1234–45

Hartmann P, Seebauer CT, Schnabl B. Alcoholic liver disease: the gut microbiome and liver cross talk. Alcohol Clin Exp Res. 2015;39(5):763-775. doi:10.1111/acer.12704

Knott CS, Coombs N, Stamatakis E, Biddulph JP. All-cause mortality and the case for age specific alcohol consumption guidelines: pooled analyses of up to 10 population based cohorts. BMJ. 2015 Feb 10;350:h384. doi: 10.1136/bmj.h384. PMID: 25670624; PMCID: PMC4353285.

Lewis SJ, Smith GD. Alcohol, ALDH2, and esophageal cancer: a meta-analysis which illustrates the potentials and limitations of a Mendelian randomization approach. Cancer Epidemiol Biomarkers Prev 2005; 14: 1967–71.

Li Y, Pan A, Wang DD, et al. Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population. Circulation. 2018;138(4):345-355. doi:10.1161/CIRCULATIONAHA.117.032047

Lieber CS. Alcoholic fatty liver: Its pathogenesis and mechanism of progression to inflammation and fibrosis. Alcohol. 2004;34(1):9–19.

Le Marquand D, Pihl RO, Benkelfat C. Serotonin and alcohol intake, abuse, and dependence: Clinical evidence. Biol. Psychiatry. 1994;36:326–337

Matsuda T, Yabushita H, Kanaly RA, et al. Increased DNA damage in ALDH2-deficient alcoholics. Chem Res Toxicol 2006; 19: 1374–78

NHS UK Alcohol Unit Guidelines https://www.nhs.uk/live-well/alcohol-support/

Queipo-Ortuño M.I., Boto-Ordoñez M., Murri M., Gómez-Zumaquero J.M., Clemente-Postigo M., Estruch R., Diaz F.C., Andres-Lacueva C., Tinahones F.J. Influence of red wine polyphenols and ethanol on the gut microbiota ecology and biochemical biomarkers. Am. J. Clin. Nutr. 2012;95:1323–1334. doi: 10.3945/ajcn.111.027847

Palzes VA, Parthasarathy S, Chi FW, et al. Associations Between Psychiatric Disorders and Alcohol Consumption Levels in an Adult Primary Care Population. Alcohol Clin Exp Res. 2020;44(12):2536-2544. doi:10.1111/acer.14477

Patel R, Mueller M. Alcoholic Liver Disease. [Updated 2020 Nov 18]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2020 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK546632/

Ramchandani VA, Bosron WF, Li TK. Research advances in ethanol metabolism. Pathol Biol (Paris). 2001 Nov;49(9):676-82. doi: 10.1016/s0369-8114(01)00232-2. PMID: 11762128.

Roerecke M, Rehm J. Alcohol consumption, drinking patterns, and ischemic heart disease: a narrative review of meta-analyses and a systematic review and meta-analysis of the impact of heavy drinking occasions on risk for moderate drinkers. BMC Med. 2014;12:182. Published 2014 Oct 21. doi:10.1186/s12916-014-0182-6

Sarich, P., Canfell, K., Egger, S. et al. Alcohol consumption, drinking patterns and cancer incidence in an Australian cohort of 226,162 participants aged 45 years and over. Br J Cancer 124, 513–523 (2021). https://doi.org/10.1038/s41416-020-01101-2

Stockwell T, Zhao J, Panwar S, Roemer A, Naimi T, Chikritzhs T. Do “Moderate” Drinkers Have Reduced Mortality Risk? A Systematic Review and Meta-Analysis of Alcohol Consumption and All-Cause Mortality. J Stud Alcohol Drugs. 2016 Mar;77(2):185-98. doi: 10.15288/jsad.2016.77.185. PMID: 26997174; PMCID: PMC4803651.

Sureshchandra, S., Raus, A., Jankeel, A. et al. Dose-dependent effects of chronic alcohol drinking on peripheral immune responses. Sci Rep 9, 7847 (2019). https://doi.org/10.1038/s41598-019-44302-3

Szabo G, Bala S. Alcoholic liver disease and the gut–liver axis. World Journal of Gastroenterology. 2010;16(11):1321–1329.

Szabo G, Saha B. Alcohol’s Effect on Host Defense. Alcohol Res. 2015;37(2):159-170.

Tabakoff B, Hoffman PL. The neurobiology of alcohol consumption and alcoholism: an integrative history. Pharmacol Biochem Behav. 2013 Nov 15;113:20-37. doi: 10.1016/j.pbb.2013.10.009. Epub 2013 Oct 17. PMID: 24141171; PMCID: PMC3867277.

Thakkar MM, Sharma R, Sahota P. Alcohol disrupts sleep homeostasis. Alcohol. 2015;49(4):299-310. doi:10.1016/j.alcohol.2014.07.019

Turton, S., Myers, J.F., Mick, I. et al. Blunted endogenous opioid release following an oral dexamphetamine challenge in abstinent alcohol-dependent individuals. Mol Psychiatry 25, 1749–1758 (2020). https://doi.org/10.1038/s41380-018-0107-4

Volkow, N. D., Wiers, C. E., Shokri-Kojori, E., Tomasi, D., Wang, G.-J., & Baler, R. (2017). Neurochemical and metabolic effects of acute and chronic alcohol in the human brain: Studies with positron emission tomography. Neuropharmacology, 122, 175–188. doi:10.1016/j.neuropharm.2017.01.012 

Wang W, Wang C, Xu H, Gao Y. Aldehyde Dehydrogenase, Liver Disease and Cancer. Int J Biol Sci. 2020;16(6):921-934. Published 2020 Jan 22. doi:10.7150/ijbs.42300

Wood AM, Kaptoge S, Butterworth AS, et al. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies [published correction appears in Lancet. 2018 Jun 2;391(10136):2212]. Lancet. 2018;391(10129):1513-1523. doi:10.1016/S0140-6736(18)30134-X

World Health Organization. (2018). Global status report on alcohol and health 2018: executive summary. World Health Organization. https://apps.who.int/iris/handle/10665/312318. License: CC BY-NC-SA 3.0 IGO

Zakhari S. Overview: How is alcohol metabolized by the body? Alcohol Res. Health. 2006;29:245–254.

Psychedelic Drugs as Medicine: Back to the Future

This paper is a primer on the current state of a biotechnology sub-sector focused on the category of medicinal compounds and interventions known as “psychedelics.” It is the story of re-emerging scientific, regulatory, and patient interest in therapeutic solutions that in several cases have been around informally for centuries and in a formal clinical setting since the mid-20th Century. Many of the interventions are based on naturally occurring plants and fungi and there are several parallels with the medicinal cannabis industry.

Lysergic acid Diethylamide (LSD)… was first synthesized in 1938 by the Swiss chemist Albert Hofmann in the Sandoz (now Novartis) laboratories in Switzerland. It was subsequently patented in the US as a medicine for analytical psychotherapy…,

History as a medicine
We know that plant-based psychedelics have been used for hundreds and probably thousands of years for mindful and spiritual purposes. It is the ‘mindful’ aspect that is now exciting modern-day researchers and clinicians. By combining the right natural extracts with the right setting, such as an accompanying ceremony, human consciousness could be altered in a beneficial manner. These traditions were brought into more mainstream medical science in the 20th century when serious, Big Pharma-backed, at scale scientific studies were undertaken into various psychedelic medicines from the end of the 1930s until their complete criminalization in the late 1960’s and early 1970’s as part of the well-documented “war on drugs”. Most prominent was Lysergic acid Diethylamide (LSD), which was first synthesized in 1938 by the Swiss chemist Albert Hofmann in the Sandoz (now Novartis) laboratories in Switzerland. It was subsequently patented in the US as a medicine for analytical psychotherapy and used in psychiatry to enhance psychotherapy through the 1950s and 1960s.

The term ‘psychedelic’ – meaning ‘mind manifesting’ – was coined by British psychiatrist Humphry Osmond who was a pioneer in the use of LSD as a treatment for alcoholism and various mental disorders in the early 1950s. It was through Osmond’s and colleague John Smythies’ study of the effects of another psychedelic, mescaline, on brain chemistry that it was postulated that schizophrenia was caused by a chemical imbalance in the brain, but this was not well received by their peers at the time. By the end of 1960s Osmond and another colleague, now in Canada, had treated around 2,000 patients for alcoholism with LSD with apparently strongly positive results. Other studies took place in the UK with similarly encouraging results.

By the end of the 1960’s, around 40,000 patients in total had received some version of treatment with LSD for mental disorders including substance use disorder (SUD), neurosis, schizophrenia and psychopathy. Many of the trials undertaken lacked the rigor that would be found today but with encouraging results and just as the discipline was gaining wider clinical credit, things were abruptly shut down when LSD slipped into the growing street ‘hippy’ counterculture resulting in a major conservative backlash. It still suffers from that association today.

An important thread running through the studies undertaken before prohibition, that differentiated the psychedelics from other pharmaceutical interventions, was the combination of the medicine with therapy, usually talking therapy together with careful control of the surrounding environment. This focus on ‘setting’ echoes the traditional use of plant-based psychedelics in indigenous ceremonies and it has been carried over to the modern approach to psychedelic therapy treatment today, along with careful attention to the starting mindset of the patient. Hence, today we talk about the importance of “set and setting” in psychedelic medicine therapy.

The US Food and Drug Administration (FDA) has designated both psilocybin for treatment-resistant depression (TRD) and MDMA-assisted psychotherapy for PTSD as Breakthrough Therapies

State of the science today
Interest in psychedelic medicine began renewing in the 1990s as more was learned of the underlying science at the molecular and neurotransmitter level despite the huge frictions to research from the legacy legislation. In fact, legislation is only now starting to loosen. In the US, where much research is now being planned and undertaken, major changes are underway. In November 2020 Oregon became the first US state to legalize psilocybin (extracted from certain varieties of mushrooms) for therapeutic use. In June this year Texas followed Connecticut in legalizing psilocybin for medical research. The same month New York State announced it was considering legislation and there are many more bills at various stages before local legislatures in the US. Perhaps most significantly, at the end of July 2021, the US House of Representatives passed a bill directing federal agencies to undertake and fund research into psychedelic-assisted therapies and the potential benefits of cannabis. This bill is now before the Senate. The fact that these solutions are being used to treat post-traumatic stress disorder (PTSD) within the military veterans community goes some way to explain growing support in the US among conservatives.

The US Food and Drug Administration (FDA) has designated both psilocybin for treatment-resistant depression (TRD) and MDMA-assisted psychotherapy for PTSD as Breakthrough Therapies. Worldwide there is an explosion of psychedelic drug studies with more research on-going than at any time in the past. Establishments such as Johns Hopkins University and Imperial College London have set up research facilities dedicated to psychedelic medicine. Others are appearing in respected research universities globally.

The psychedelic medicines that show the most clinical promise currently are as follows.

Psilocybin. This compound occurs naturally in dozens of varieties of mushrooms. Clinical trials and academic studies suggest that psilocybin has potential therapeutic benefit for: PTSD, depression, SUD (including alcohol, opioid, and nicotine), migraines, OCD, anxiety in terminally ill patients, anorexia nervosa and social anxiety for autistic patients. . Exactly how psilocybin works is still being uncovered but recent evidence suggests that the mechanism involves the repair of neural connections. In a study by academics at Yale University published in scientific journal Neuron in July 2021, one dose of psilocybin was shown to increase the number of neuronal connections in mice by 10% and also the size and strength of the connections to a similar extent.

LSD. This infamous compound has shown promise in the treatment of anxiety, depression, SUD, cluster headaches, Tourette’s syndrome, and Alzheimer’s.

Ketamine. Ketamine is a non-naturally occurring synthetic compound that was approved by the FDA for anesthetic use in 1970 and has been available as a medicine since then including as a tranquilizer in animals. It is currently in limited use in academic-established ketamine infusion therapy clinics in the US, Canada, the UK, and Australia (among other places) for various conditions including depression, anxiety, bi-polar disorder, PTSD, OCD, suicidal ideation, chronic pain, fibromyalgia, and reflex sympathetic dystrophy.

Ibogaine. Ibogaine is a compound extracted from the root of an African rainforest shrub Tabernanthe Iboga native to Gabon. It has been studied mostly for potential treatment of SUD including alcohol, opiates, and methadone and private Ibogaine therapy clinics focused on SUD treatment have appeared in countries where it is legal or unregulated, largely in Latin America.

MDMA. MDMA (3,4-methylenedioxy-methamphetamine) is a synthetic compound that stimulates the central nervous system. It is not viewed as a traditional psychedelic compound in that it does not induce hallucinations. One of its classic side effects is that it can generate empathy and it has high potential for misuse. However, as a medicine it has been designated by the FDA as a Breakthrough Therapy for the treatment of PTSD via MDMA-assisted psychotherapy with Phase III clinical trials currently underway in the US and Europe, with interim findings encouraging. It is also being studied as a potential intervention for anxiety in terminal ill patients and social anxiety in autistic adults.

In addition, the compound DMT (N,N-Dimethyltryptamine), most commonly experienced through consumption of an Amazonian ‘tea’ known as Ayahuasca comprising a combination of plants, is being studied for its treatment of many of the psychological problems identified above. It is in widespread informal use across the Americas for such purposes along with spiritual and recreational practices.

The attraction of psychedelic medicines is not merely a function of their potential value as therapeutics. It is also true that many existing pharmaceutical medications such as anti-depressants can have numerous negative side effects. Patients and, to an extent, regulators are receptive to new treatments that avoid these side effects. A similar narrative exists with cannabis, particularly in the area of chronic pain management where heavy-duty opioids are increasingly unpopular with both those stakeholder groups and also for general anxiety indications.

Psilocybin for example cannot be patented and owned by a company.

The role of intellectual property
The bedrock of the pharmaceutical industry, of biotech innovation and of drug development is intellectual property, primarily patents. The rationale for drug development is clear: biotechs and big pharma companies don’t have the incentive or funds to invest tens, sometimes hundreds of millions of dollars in developing and testing a new formulation, drug or therapeutic, that will often – in practice, nearly always – fail in clinical trials or in the regulatory approval process if they receive no intellectual property (IP) protection in return, allowing others to piggy-back or leap-frog without incurring the capital expenditure and risk of failure. The grant of a patent is what draws capital into the biotech arena and what leads to important clinical breakthroughs, just as we have seen with COVID vaccines.

In the psychedelic medicine arena, as it is with cannabis and other natural therapeutics, the situation is complex. First of all, plants, fungi, and products in nature cannot be patented. Psilocybin for example cannot be patented and owned by a company. These naturally occurring compounds belong to the public already and indeed, in patent terminology, they effectively amount to “prior art” that predated the patent application. Secondly, many psychedelics such as psilocybin (from certain fungi), mescaline (from peyote cacti), ibogaine (from an African rainforest shrub) and DMT (the psychoactive ingredient in Ayahuasca) have been used either as therapeutics or in religious or other ceremonies by indigenous peoples for thousands of years, again creating prior art that is legally and ethically challenging for biotechs seeking patents even where that prior art is not written down in a medical journal but based on oral history and cultural evolution.

And yet, there is a patent goldrush on-going around psychedelics as the biotech companies that have entered the space – as many as 200 currently – jockey for protection around their solutions and to raise capital. Much of their IP activity focuses on new or altered molecular compounds or new formulations of the base compound that improve on the natural source drug. Others focus on novel uses, novel delivery mechanisms or on novel manufacturing methods. Patents have already been issued and it is raising a debate about the ethics of ring-fencing what many see as ‘Nature’s gift’.

Whilst it is hard to argue against the patent-R&D trade-off in the biotech arena, the area where the public have a very legitimate interest in allowing natural solutions to flourish is in pricing. As we have seen before, the end pricing of novel pharmaceuticals is often such that only insurers can afford to cover their cost. And in a not-so-virtuous circle, only FDA-approved drugs will typically be accepted by insurers, effectively locking out natural solutions even where the efficacy and safety have been proven over perhaps thousands of years. In the US this leads to super-high premia for healthcare cover. In other countries where drug price controls are more actively policed, or in single payer systems like the UK’s NHS, where budgetary concerns remain a constant political issue, regulators face a tough choice between allowing natural therapeutics to enter the mainstream clinical space without the same level of clinical trial rigor but keeping pricing low or only allowing highly tested, regulated and IP-protected but high-cost therapeutics to dominate. In virtually no other domain – with the possible exception of cannabis in the future, when big pharma inevitably steps in – is this debate going to color our field of vision more than psychedelic medicines.

There are several companies listed on NASDAQ and NYSE with Psychedelic medicine as their core solution…

Some commentators believe that the psychedelic market can be greater than US$100bn and/or bigger than medical cannabis.

Psychedelics as an investment opportunity
There are several companies listed on NASDAQ and NYSE with psychedelic medicine as their core solution including two, COMPASS Pathways and Atai Life Sciences, with billion-dollar market caps. With the experience of cannabis fresh in the memory, many investors have identified psychedelics as the next big thing. Some commentators believe that the psychedelic market can be greater than US$100bn and/or bigger than medical cannabis. They identify the vast and exponentially growing incidence of mental ill health, from PTSD in the military to TRD (with existing pharmaceutical solutions ineffective and/or unpopular with patients) to an epidemic of general anxiety and depression fueled by modern lifestyles and the recent pandemic. Clearly, the cost to society is vast and estimated to be north of US$1 trillion when reduced to economic factors. With all that in mind, there will be many winners. Equally, as we saw with cannabis, anytime there is a goldrush mentality among investors, not every company will succeed or provide investors with the reward their risk-taking required. Sub-sector and company selection, timing and luck will all have their say.

As it stands, a large proportion of the companies seeking funding are chasing the same patients through their own therapeutic solutions, many patent pending. Some are segregated by target jurisdiction, with competition held back pending international expansion through additional regulatory approvals and patents. It seems inevitable that there will be well-funded losers as well as winners as the competition plays out and product overlaps crystallize. New sub-sectors are emerging, as they did in cannabis before, focused on cultivation, production technology, testing, certification support, logistics and so on and only as the industry matures will it be evident where the innovation, IP, competition, and margins unlock most value in the entire value chain.

As far as discernible trends go for would-be investors to track, the following stand out.

Isolates vs Natural Compounds. As trailed in the IP section above, it’s not yet certain that patented synthesized molecular compounds (isolates) will achieve the efficacy, safety and regulatory approvals required to dominate the medicinal arena or whether the natural compounds, in combination with clinical psychotherapy approaches, will gain more traction with insurers, clinicians, therapists and ultimately patients. There is a parallel analysis with cannabis where, several years after legalization in more than 30 US States and close to 50 countries, the vast majority of expenditure on medicinal cannabis (perhaps over 99%) is on full spectrum (naturally occurring) solutions rather than isolates. Part of this is about pricing and part the absence of Big Pharma (to date) but there is also strong efficacy-related science potentially at play with studies suggesting that the so-called ‘entourage effect’ whereby the dozens of cannabinoids, terpenes, and other active ingredients of the entire plant act in concert to generate better results by contrast with the synthesized sub-molecular compounds that currently exist. For this situation to translate to psychedelics, there will need to be significant investment and innovation in industrial scale cultivation and production technology and infrastructure that can produce consistent, pharma-quality products from plants and fungi. Equally new regulatory frameworks will need to be established that accommodate the production, storage, transportation, and dispensing of these products and at the same time provide patients and the public generally with the safety standards expected of any medicine. Having seen this happen with cannabis, there should be no reason why those same regulations cannot be expanded to psychedelic compounds.

Treatable Conditions. As more research is completed the number of indications for which psychedelic medicines may be approved will determine the ultimate market potential. Tackling various forms of depression alone will render the sector of blockbuster potential. Equally, translating successful medication to the clinical setting may give rise to a paradox that tamps down the potential market size. Some studies have shown that single doses of psilocybin can provide long-term relief from anxiety and depression, echoing early work with LSD for alcoholics. This has also been seen with Ibogaine treatments for SUD. Such findings reduce the potential revenue opportunity for the medications at work.

Clinical Setting. An adjacent point relates to the overall delivery mechanism for treatment. Much research suggests that “set and setting” have a crucial role to play in the effective administration of psychedelic therapies. Set refers to the mindset of the patient entering the therapy and setting the physical environment where administration of the medicine and therapy occurs. Both emphasize the role of a holistic approach rather than a traditional pharmaceutical one. Collectively set and setting are likely to sustain the private clinic and therapy setting models that have traditionally favored natural compounds rather than pharmaceutical isolates, to an extent leveraging the scientific practices of the 20th century and even the original context of the use of psychedelics by indigenous peoples.

Regulatory Overhaul. Perhaps most significantly, the investable market is ultimately a function of the regulatory market. Although the legislative developments referenced earlier are deeply encouraging, as we have seen with cannabis in the US, which remains federally illegal even for medicinal purposes, until a jurisdiction rolls back its long-held conviction about the misuse of drugs, patients cannot become customers. Moreover, with some psychedelic biotech valuations already sky high, investors will wish to understand the extent to which regulatory relaxation is already priced in to some stocks.

One thing seems clear, the market is real, large, fulfils an important societal need and consequently is here to stay. It is investible today with the right guidance and opportunity and it is inevitable that significant returns will be made by many that have those factors covered.

In a May 2020 study conducted by Prohibition Partners of 1,000 adults from the US and UK (500 each) 51% agreed with the statement ‘I support the legalization of psychedelics for medicinal purposes’, and only 13% disagreed.

A note on stigma
Psychedelic compounds and their natural sources remain illegal in most jurisdictions around the world, primarily as a result of the US-led “war on drugs” from the late 1960’s and early 1970’s. In the US, the foundational legislation is the Controlled Substances Act of 1970, in the UK it is the Misuse of Drugs Act 1971 and internationally there is the UN Convention on Psychotropic Substances of 1971. Other countries have their own criminal frameworks, many extremely draconian. For many individuals, funders and indeed regulators and law-makers that is enough to turn away from this sector, as it has been with cannabis before. Even casual observers feel the stigma of association with mere intellectual enquiry. Yet this approach is both deeply unscientific and inconsistent with the legal status of many prescription-only drugs such as Fentanyl and other opioids that continue to be accepted within our pharmacopeia despite enormous abuse both within a regulated clinical environment and “on the street”. There are other startling inconsistencies to be found in some European countries where euthanasia is available to patients with certain psychological suffering conditions, but the use of psychedelic medicines is not!

Moreover, as with cannabis, the psychedelic medicine train has already left the station, driven by deep scientific study showing efficacy and safety. Public opinion in, for example, the US or UK is already and surprisingly in favor of greater loosening of restrictions, especially but not exclusively around clinical research. In a May 2020 study conducted by Prohibition Partners of 1,000 adults from the US and UK (500 each) 51% agreed with the statement “I support the legalization of psychedelics for medicinal purposes”, 36% were unsure or don’t know and only 13% disagreed. In the case of cannabis, the intellectual dishonesty still perpetuated among some interest groups as regards comparisons between cannabis-based medicine and opioid medicines for indications such as chronic pain management, especially of the related side effects, is palpable. In my opinion, and each has their own, we are now at the “wrong side of history” point for those seeking to deny access to these life-changing therapeutics or even those who merely fear engagement with the intellectual debate. Now is the time to educate ourselves on the opportunities psychedelics (and cannabis) offer for medical advancement and the issues that must be confronted to provide safe and reliable access for patients.

 

By Tom Speechley

Lifestyle & Longevity: The Human Gut Microbiome

Mounting research in the last two decades has uncovered the critical influence that the diverse microbes in our gut have on our overall health. Varied studies worldwide have linked a balanced gut microbiome to immune system competence, regulation of our metabolism and psychological wellbeing. Imbalances, by contrast, have been linked to the development of multiple inflammatory disorders, several other disease categories and ageing itself. In this article, we explore current scientific opinion on the integral role of gut microbiota in health, disease and longevity, the impact of lifestyle factors and furthermore, how in practical terms we can optimise the health and balance of our microbiome.

 

Imbalances… have been linked to the development of multiple inflammatory disorders, several other disease categories and ageing itself

Introduction

We commonly associate microbes, including bacteria and viruses, with disease. However, in contrast with the pathogenic microbes that can invade our bodies, a huge number and diversity of microbes live in and on our bodies, with a significant beneficial role in our health. In fact, the population of such organisms is thought to be just above our own cell count [Sender R., et al 2016].

These beneficial microbes are found in several locations including the skin, gut, oral cavities, vaginal lining and respiratory airways, and in turn, they help support our normal tissue and organ functions. By far the greatest number are housed in the lining of the intestines. Their collective name is the gut microbiota, and their combined genes are referred to commonly as the gut microbiome. They constitute a complex ecosystem dominated by bacteria, but also another type of prokaryote, known as archaea. In addition, there are yeasts, other fungi and viruses. Bacteriophages, viruses that specifically infect bacteria, make up most of the viral count.

Over the last two decades, there has been a significant increase in research focusing on the gut microbiome, much of it trying to understand the nature of the continual ‘cross-talk’ between the constituent organisms in the gut and us, as hosts. Studies have identified an essential function for this interaction in maintaining good health, coupling the gut microbiome to immunity, digestion, energy metabolism, and blood glucose regulation.

Research has also firmly implicated an imbalance in the gut microbiome in diverse diseases. These include, but are not confined to, allergic conditions, neurodegenerative disease, anxiety, depression, inflammatory bowel conditions, obesity, type 2 diabetes and several cancers.

As such, the gut microbiome has become a significant target for therapeutics.

What then is the gut microbiome’s role in immunity and disease?

 

…a perturbed gut microbiome has been linked to several diseases that exhibit pro-inflammatory effects or auto-immune states… including allergies, atopic disease such as asthma, eczema, and atopic dermatitis, irritable bowel syndrome, ulcerative colitis, obesity, type 2 diabetes and several cancers

 

Immune function
The gut forms a critical concentration point for many of our immune cells. In fact, a huge proportion of our immune system’s focus is aimed at controlling our body’s interaction with the gut microbiome. Immune cells congregate and work in conjunction with the linings of the intestine and a mucus layer to produce an effective ‘barrier’ against our microbiome. This is sometimes referred to as a ‘mucosal firewall’ and it acts to prevent an unintended immune response against beneficial microbes. The interactions and responses of our immune cells here are thought to have far-reaching beneficial consequences to our body’s immunity as a whole.

Hence, the constituents of our gut microbiota can control pathogenic invaders in diverse ways, including producing antimicrobial proteins and molecules that adversely affect the survival and virulence of pathogens or competing directly for nutrients. For example, short chain fatty acids, produced by our microbiome by a fermentation process in the colon (discussed further below) have an anti-inflammatory effect mediated via the immune system. Moreover, several beneficial or ‘commensal’ bacteria types in the gut are known to synthesise vitamins, including B2, B6 and B12 vitamins, known to be essential for immune functioning [Belkaid,Y 2014].

Chronic inflammation and auto-immune disease
There is a growing recognition that many of our major disease categories result from chronic inflammation caused by imbalances in the proper functioning of multiple bodily systems. Moreover, a perturbed gut microbiome has been linked in research studies to several diseases that exhibit pro-inflammatory effects or auto-immune states, where the immune system erroneously attacks non-pathogenic cells causing chronic inflammation. This implicates disease categories including allergies, atopic disease such as asthma, eczema, and atopic dermatitis, irritable bowel syndrome, ulcerative colitis, obesity, type 2 diabetes and several cancers.

Allergies and atopic disease
There has been a significant rise in the incidence of allergic and atopic diseases, specifically in developed countries, over the last few decades. Many research groups have hypothesised this may be due to excessive hygiene as part of a Western lifestyle, that reduce infant exposure to microbes, including the beneficial ones that populate our gut. Furthermore, this could go on to disrupt immune responses resulting in hypersensitivity and disease development [Noverr, MC et al., 2004]. This is an expansion on the original ‘hygiene hypothesis’ by Strachan in 1989, that attributed atopic diseases to a reduced exposure to infections in infancy.

A host of clinical research studies suggest a strong link between changes in the gut microbiota, as well as those of the skin and respiratory tract, to allergic and atopic diseases [Huang, YJ. et al.,2017]. A large scale cohort study in The Netherlands examining nearly 1000 infants, concluded there were distinct differences in the guts of infants that went on to develop atopic diseases versus their healthy counterparts. An increased population of Escherichia Coli was present in those who developed eczema, with a direct correlation between the levels found and disease development. In addition, increased levels of Clostridium Difficile were associated with all atopic diseases (eczema, asthma, allergies and atopic dermatitis) [Penders, J. et al., 2006].

To summarise, the maintenance of a healthy gut microbiome could be critical to combatting cancer and a patient’s treatment success

 

Cancer
There is increasing evidence that the gut microbiome can significantly influence the development of certain cancers and a patient’s subsequent response to cancer therapies.

Several research studies have shown that dysbiosis in the gut microbiome can be a risk factor for developing colorectal cancer. An increased inflammatory state, altered immunity and the production of toxins from unhealthy bacteria are thought to contribute to the disease process. On the contrary, increased amounts of short-chain fatty acids (SCFAs), a metabolite produced by certain types of commensal bacteria in the gut have been shown to have a protective effect [Rowland L, et al 2018; Zou S., et al 2018]. We discuss SCFAs further below in the section on diet.

A cancer treatment known as immunotherapy, (covered in our previous paper), manipulates a patient’s own immune system so that it attacks and targets tumour cells. A recent study, showed that patients with a disrupted gut microbiome due to antibiotic consumption, had a poor response to cancer immunotherapy. The patients in the study were being treated for lung and kidney cancers, by a class of drugs known as immune checkpoint inhibitors (ICIs). All non-responding individuals were found to have low levels of a specific healthy bacterium Akkermansia muciniphila in their gut [Routy et al 2019].

In two other studies in melanoma patients, the best responses to immunotherapy were seen in those with a healthy gut microbiome. Conversely, non-responding patients had a disrupted or imbalanced gut microbiome [Matson et al., 2018].

Other research studies, that focussed on stem cell transplants for haematologic cancers (also known as blood cancers), showed patients with the best survival and response rates had a higher level of microbiome diversity when treatment started [Taur et al., 2014]. Some studies also showed the presence of known beneficial bacterial species in patients was associated with a reduced risk of relapse [Peled et al., 2017].

To summarise, the maintenance of a healthy gut microbiome could be critical to combatting cancer and a patient’s treatment success. The manipulation of gut microbiota through probiotics, prebiotics or fecal transplantation is currently under investigation through a number of ongoing clinical trials in cancer patients. The outcomes could prove critical in helping to improve outcomes and reduce the toxic effects of cancer therapies [Gopalakrishnan et al., 2018].

Obesity
Several studies have shown that differences in gut microbiota are intrinsically linked with obesity and metabolic syndrome. A study in 2018 showed that fecal microbiota transfer (FMT) – literally a transfusion of fecal matter from one host to another* – from an obese mouse to populate the gut of a germ-free mouse resulted in rapid weight gain [Turnbaugh, P et al., 2006]. What’s more, other studies have shown that the microbiota from obese individuals have an increased capacity for energy harvest from nutrients, and may increase intestinal permeability and endotoxin levels in the blood.

* Fecal microbiota transfer is an infusion through the colon, or delivery through the upper gastrointestinal tract, of stool from a healthy donor to a recipient with a disease believed to be related to an unhealthy gut microbiome

There has been increased reference in the last 5 years of the potential application of FMT, to treat diseases beyond gastrointestinal disorders where a perturbed gut microbiome is implicated.
There have been several clinical trials for the treatment of atopic disease and allergies, and obesity with inconclusive results. Some preliminary success has been observed for inflammatory bowel disease (IBD), irritable bowel syndrome, ulcerative colitis and metabolic syndrome, but further research is needed before wider use in patients [König, J et al., 2017; Zeng, W. et al 2019]

The ‘leaky gut’ hypothesis

The leaky gut hypothesis has been touted in many lay and scientific publications as a mechanism for disease development. The assertion underlying the hypothesis is that physiologic stressors such as dietary components, anxiety, or intense exercise can enhance the permeability of the intestinal mucosal membrane, specifically the ‘tight junctions’ between cells, thereby increasing entry of pathogenic bacteria, bacterial toxins and even food matter into the body’s circulation, causing inflammation and triggering numerous diseases or allergic reactions. However, whilst some continue to support this hypothesis [Bischoff, SC. et al., 2014; Mu, Q et al., 2017; Chakaroun RM et al 2020], other groups argue that there is a distinct lack of high quality scientific data to support this theory at present [Hollander, D. et al., 2020].

The gut is therefore a new and emerging target for health interventions in the field of psychiatric disease

 

The relationship between the gut microbiome and the brain

There are many pathways elucidated by researchers that connect the gut and the brain. The latter is referred to as the ‘gut-brain-axis’. For example, some neurotransmitters and metabolites that affect the brain are synthesised in the gut.

The role of gut bacteria in mood disorders has been investigated in a number of studies showing that individuals suffering from depression had altered gut microbiome diversity and composition compared to healthy individuals [Zheng, P. et al., 2016; Jiang, H et al., 2015]. Furthermore, these changes were also related to depression-like symptoms seen in rodent models [Kelly JR, et al., 2015]. The gut is therefore a new and emerging target for health interventions in the field of psychiatric disease.

Animal studies have bolstered the idea that gut microbes can influence the brain. Rats given fecal transplants from people with depression went on to develop the rodent equivalents of those problems. Conversely, giving those animals fecal transplants from healthy people sometimes relieved their symptoms [Kelly JR, et al., 2016]. Similar studies have been carried out for other diseases affecting the nervous system, including Parkinson’s disease and schizophrenia with varied and inconclusive outcomes [Bastiaanssen, TSF. et al., 2019].

Having considered the critical importance of a healthy gut microbiome for good health and prevention of disease, what constitutes a healthy gut microbiome and how is it created and fostered?

 

…a dominance of beneficial microbial categories coupled with a high-degree of diversity is what constitutes a healthy gut microbiome

 

What constitutes a healthy adult gut microbiome?

It is interesting to note that whilst the function of the gut microbiota is conserved between individuals, the make-up of a healthy adult’s microbe population varies greatly. Therefore, there is no single blueprint. However, we do know that certain microbiota categories have beneficial effects in the gut, whilst others are detrimental.

Additionally, microbial diversity in the context of the gut microbiome is seen as beneficial — as when one population of commensal bacteria is affected, another similar strain can step into its role, minimising any disruption to health. Diet is a significant contributory factor to increasing microbial diversity, and the prevalent microbe populations in our gut, as we will discuss further below.

Simply put, a dominance of beneficial microbial categories coupled with a high-degree of diversity is what constitutes a healthy gut microbiome.

How is our gut microbiome populated?

There is increasing evidence that the gut is not sterile when we are born, and its population with microbes actually starts in the womb, possibly sourced from the amniotic fluid and the placenta [Walker, RW. et al., 2017]. However, studies indicate that the gut of infants only becomes more densely populated with microbes during and after birth. Mother-to-baby transmission of microbes is often observed, with a newborn’s gut flora being different based on delivery method. Vaginal delivery results in a transfer of Lactobacillus and Prevotella, whereas those children born via Caesarean section acquire more Staphylococcus, which are more characteristic of the skin microbiome [Korpela, K. et al 2018].

Infants have been shown to share up to 30% of their gut microbiome with their mothers, further supporting the notion of maternal transmission of the gut microbiome to infant [Palmer, C, 2007]. However, some bacterial strains that are present in a mother’s gut, like Clostridia are not seen in the infant, suggesting there is some degree of selection. Subsequent to delivery, the intake of colostrum, breast-feeding, and environmental exposure go on to further influence the microbial composition.

Our gut flora starts to stabilise at the end of our first year of age. In later childhood, the similarity of our bacterial population to that of our mother declines, and is influenced more by more diverse lifestyle factors including the wider family members, and environment [Korpela, K. et al 2018].

In addition to such early-stage life factors, the adult gut microbiome is influenced by diet, body mass index (BMI), age, genetics, exercise frequency, lifestyle factors, medication, environmental stress and cultural habits. Perhaps not surprisingly, diet is seen as the most prominent lifestyle factor in shaping and modulating the human gut microbiota.

 

Numerous clinical trials and studies have shown that a high-fibre diet increases the microbial diversity of healthy bacteria in the gut

 

Can we change and optimise the gut microbiome through our diet?

Complex carbohydrates, dietary fibre and short chain fatty acids
Carbohydrate digestion happens in two principal ways. First, non-resistant starch and simple sugars are digested in the small intestine, where they become available for metabolism by the body. Secondly, more complex carbohydrates and resistant starches, that are indigestible in the small intestine, require bacterial fermentation in the large intestine to be broken down, in effect nourishing the commensal microbes present there. Complex carbohydrates that follow this secondary process are typically high in dietary fibre and include whole-grain cereal, fibrous vegetables and fruit.

 

A low F/B ratio is associated with a lean body type and a high F/B ratio is associated with an obese body type

 

Numerous clinical trials and studies have shown that a high-fibre diet increases the microbial diversity of healthy bacteria in the gut [Candela, M. et al., 2016; García-Peris, P. et al., 2012; Hoschler, HD. et al., 2014]. What’s more, high dietary fibre intake has been known to reduce the ratio between two key types of bacteria in the gut — Firmicutes and Bacteroidetes —referred to as the “F/B ratio.” A low F/B ratio is associated with a lean body type and a high F/B ratio is associated with an obese body type. Obese individuals commonly show a perturbed gut microbiome, as discussed earlier in this paper.

Another benefit of high fibre intake is that it encourages the growth of bacterial species that ferment fibre into short chain fatty acids (SCFAs). There are several documented positive health effects of SCFAs that include improved immunity, blood–brain barrier integrity, anti-inflammatory activity in the gut, an anti-cancer role in the colon and glucose and cholesterol regulation [Rowland, L., et al 2018]

Prebiotics and probiotics
Prebiotics are a sub-category of the complex carbohydrates that help feed our commensal gut bacteria and increase SCFA production. Common foods that contain prebiotics include raw garlic, leeks, chicory, onion, asparagus, banana and apples. Probiotics, on the other hand, directly introduce ‘live’ commensal bacteria into our gut and are present in live yoghurt cultures and fermented foods such as kimchi, sauerkraut and miso. They have also been shown to be beneficial for overall gut health [Markowiak, P., et al 2017; Sergeev, IN., et al 2020]

Detrimental effects of saturated fat
Diets high in saturated or total fat have consistently been shown to have detrimental effects on the gut microbiome composition and diversity [Wolters M., et al., 2019]. In particular, studies show saturated fats, such as animal-derived fats, lower the levels of microbes associated with good gut health, whereas unsaturated fats, such as olive oil, both increase the abundance of good bacteria and reduce harmful bacteria.

Further studies have also linked excesses of saturated fats sourced from milk or meat products with higher levels of anaerobic bacteria that have been implicated in inflammation in the gut and colorectal cancer [Peck, SC et al., 2019].

Negative influences of animal-derived protein
Several clinical and preclinical studies suggest that both the type and amount of protein in the diet have diverse and considerable effects on the gut microbiome. Studies in humans showed that individuals consuming large amounts of animal protein, mainly from beef, that incidentally also contains high levels of saturated fats, showed reduced bacterial diversity due to the loss of those groups required to digest plant derived carbohydrate [David, LA, et al., 2014].

Additionally, studies in animal models indicate that a diet dominated by animal based-protein results in an increase in detrimental gut microbiota and is linked to a pro-inflammatory gut profile. Conversely, one that is high in plant-protein and complex carbohydrate shows beneficial diversification of gut microbes [Yang, Q, et al., 2020].

Evidence also suggests that very high protein diets, including those supplemented with high protein drinks can have harmful effects. In a 70-day study that followed healthy athletes who supplemented with a protein drink, adverse effects were seen with a significant decrease in health beneficial microbiota [Moreno-Pérez, D., 2018].

Beneficial effects of polyphenols
Animal and human clinical trials have shown that polyphenols, like flavonoids, phenolic acids, stilbenes, and lignans (commonly found in fruits, vegetables, tea, coffee, and red wine) are thought to have prebiotic-like activities in the gut, imparting health benefits and reducing inflammation [Santino, A. et al 2017]. Furthermore, the intake of Vitamin A, C, D, and E have been shown to have a positive influence on health-beneficial microbes [Yang, Q, et al., 2020].

What other major factors influence the gut microbiome?

Getting a good night’s sleep
A recent study in 40 participants found that gut microbiome richness and diversity, are positively correlated with increased sleep efficiency and total sleep time. Conversely, there was a negative correlation with subjects who experience fragmented sleep [Smith, RP et al., 2019].

Another study, which focused solely on 37 older participants >65 yrs, noted increases in diversity in different groups of bacteria were associated with better sleep quality and cognitive function in advanced age [Anderson, JR. et al., 2017].

Exercise – keeping it regular and moderate
An increasing body of evidence indicates that regular aerobic exercise confers an independent beneficial influence over the human gut microbiome. In human models, moderate exercise, over a longer time scale of weeks rather than days, has been linked to notable positive changes.

Regular moderate exercise has been shown to decrease inflammation and its mediators in the gut. Indeed, several groups have suggested moderate exercise as an intervention for multiple inflammatory conditions. [O’Sullivan, O, et al., 2015 and references therein] .

Alcohol – a general disruptor
Alcohol is another dietary disruptor of the intestinal microbiota. Numerous studies have shown changes in alcoholic individuals, with or without liver disease, that result in a pathogenic disruption in the gut microbiome. A multitude of effects, reviewed in Engen et al., 2015, included bacterial overgrowth in the small intestine and a significant increase in potentially dangerous bacteria and toxins.

The only positive correlation for gut health and alcohol was seen with a limited intake of red wine, either a standard or de-alcoholised version (max of 272 ml/day) in a randomized control trial that resulted in an increase in certain healthy bacteria that has been linked to the polyphenol content of red wine providing beneficial prebiotic effects [Queipo-Ortuño MI, et al., 2012].

Smokers – a disrupted microbiome
Smoking was shown to induce imbalances in the gut microbiome in a small cohort study by Bidderman et al. in 2013. Furthermore, it has proven links to some chronic disease associated with the gut. For example, cigarette smoking is considered to be one of the most important lifestyle risk factors in developing inflammatory bowel disease [Danese et al., 2004].

A large scale study in Korea compared the gut microbiome of men who had never smoked, had quit smoking, or were current smokers, whilst controlling for all other variables. They observed that current smokers had a high F/B* ratio. This is something that’s normally associated with being predisposed to metabolic disease and obesity. Those who were former smokers or had never smoked had similar gut microbiota, suggesting that your microbiome returns to normal after smoking cessation [Lee et al., 2018]. Animal models of smoking have also shown increases in inflammatory markers in the gut.

(*Firmicutes and Bacteroidetes ratio —referred to above in the section on ‘Complex carbohydrates, dietary fibre and short chain fatty acids)

Stress – problematic over the long term
A number of research groups have linked an elevated stress response and stress-related disorders to dysregulation of the gut microbiome. Conversely, treatment with prebiotics and probiotics has been shown to attenuate the stress response in animal and in human studies [Foster, JA. et al., 2017]. A recent study showed that introducing certain bacterium into the diet through probiotics helped reduce anxiety and the stress response in healthy volunteers. [Allen AP et al., 2016].

Antibiotic depletion and the role of other drugs
The use of antibiotics is known to deplete the gut microbiome. Although antibiotics have had a vital medical role and are prescribed to help control and rid our bodies of pathogenic bacteria, they inadvertently also target the indigenous microbiota present in our gut. They can reduce bacterial diversity, and change or redistribute the microbe composition, in a transient or permanent manner. It should be noted that antibiotic treatment also selects for resistant bacteria in the long-run. For example, Clostridium Difficile infection (CDI) is often prevalent in patients continuously taking antibiotics [Modi, SR. et al., 2014].

The interaction between our gut microbes and other commonly prescribed non-antibiotic drugs is complex and bidirectional. The gut microbiome composition can be influenced by drugs, but, conversely, the microbiota can also impact our individual response to a drug by altering it enzymatically, and/or changing its bioavailability, bioactivity or toxicity. In studies, some routinely used drugs known to influence the microbiome include beta-blockers, ACE inhibitors, lipid-lowering statins, laxatives, metformin, and the antidepressants known as selective serotonin reuptake inhibitors [Vich Vila, A, et al., 2020]

Age factors
As we age, the gut microbiome is less diverse and unstable. It remains unknown whether this disruption of the microbiota is a cause or consequence of ageing. It has been linked in various studies to impaired sleep, changed lifestyle and dietary schedule, lesser mobility, weakened immune strength, chronic low-grade inflammation, recurrent infections and the increased use of medications [Nagpal, R. et al., 2018].

Although further studies are needed, some research has suggested that given that the gut microbiome composition is critical to healthy ageing, so its restoration can support longevity. Preliminary studies, in nematode worms nonetheless, have shown that genetically engineered probiotics could hold some promise as a new therapeutic to promote healthy ageing and longevity [Han, B et al 2017].

 

…strong evidence exists of the presence and diversity of specific beneficial microbes and how we as individuals can help support and promote their presence in our gut

 

Summary

Scientific reductionism has traditionally segregated the function of organs and systems in the human body. Health optimisations and interventions have often been siloed as a result. Increasing evidence supports the gut microbiome as a converging point and interface between our all our physiological systems. This favours a targeted approach, via the gut, to help maintain optimal health outcomes throughout our lifetimes and potentially protect against wide categories of disease.

Although no single blueprint of a healthy gut microbiome to attain exists, strong evidence exists of the presence and diversity of specific beneficial microbes and how we as individuals can help support and promote their presence in our gut. Dietary interventions, like consuming complex carbohydrates, fibre-rich foods, low levels of animal fats, plant-derived proteins, polyphenol-rich foods, probiotics and prebiotics can all contribute.

Other lifestyle factors, like optimising sleep, moderating alcohol, smoking cessation and maintaining regular levels of activity also have a role to play.

Whilst we cannot yet be sure of the causal or consequential relationship of the gut microbiome to disease development and ageing more generally, the disruption observed is recognised. This opens up the potential for ongoing clinical interventions, to help prevent and treat disease development and slow aspects of the ageing process. The targeted use of FMT, prebiotics and probiotics will no doubt have an ongoing role to play as new data emerges.

By Dr. Seema Sharma for SX2 Ventures © 2020

 

References

Allen AP, Hutch W, Borre YE, Kennedy PJ, Temko A, Boylan G, Murphy E, Cryan JF, Dinan TG, Clarke G. Transl Psychiatry. 2016 Nov 1; 6(11):e939.

Arumugam, M., Raes, J., Pelletier, E. et al. Enterotypes of the human gut microbiome. Nature. 2011. 473, 174–180. https://doi.org/10.1038/nature09944

Biedermann L, Zeitz J, Mwinyi J, et al. Smoking cessation induces profound changes in the composition of the intestinal microbiota in humans. PLoS One. 2013;8(3):e59260. doi:10.1371/journal.pone.0059260

Bischoff SC, Barbara G, Buurman W, et al. Intestinal permeability–a new target for disease prevention and therapy. BMC Gastroenterol. 2014;14:189. Published 2014 Nov 18. doi:10.1186/s12876-014-0189-7

Bressa C, Bailén-Andrino M, Pérez-Santiago J, et al. Differences in gut microbiota profile between women with active lifestyle and sedentary women. PLoS One. 2017; 12(2):e0171352.

Brouwer ML, Wolt-Plompen SA, Dubois AE, van der Heide S, Jansen DF, Hoijer MA, Kauffman HF, Duiverman EJ. No effects of probiotics on atopic dermatitis in infancy: a randomized placebo-controlled trial. Clin Exp Allergy. 2006 Jul; 36(7):899-906..

Candela M., Biagi E., Soverini M., Consolandi C., Quercia S., Severgnini M., Peano C., Turroni S., Rampelli S., Pozzilli P. Modulation of gut microbiota dysbioses in type 2 diabetic patients by macrobiotic ma-pi 2 diet. Br. J. Nutr. 2016;116:80–93. doi: 10.1017/S0007114516001045

Chakaroun RM, Massier L, Kovacs P. Gut Microbiome, Intestinal Permeability, and Tissue Bacteria in Metabolic Disease: Perpetrators or Bystanders?. Nutrients. 2020;12(4):1082. Published 2020 Apr 14. doi:10.3390/nu12041082

Cheng M, Ning K. Stereotypes About Enterotype: the Old and New Ideas. Genomics Proteomics Bioinformatics. 2019;17(1):4‐12. doi:10.1016/j.gpb.2018.02.004

Clarke SF, Murphy EF, O’Sullivan O, et al. Exercise and associated dietary extremes impact on gut microbial diversity. Gut. 2014; 63(12):1913–20.

Dao MC, Everard A, Aron-Wisnewsky J, et al. Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology. Gut. 2016; 65(3):426–36.

Danese S, Sans M, Fiocchi C. Inflammatory bowel disease: the role of environmental factors. Autoimmune Rev. 2004. 3 (5): 394–400

David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, et al. . Diet rapidly and reproducibly alters the human gut microbiome. Nature. (2014) 505:559–63. 10.1038/nature12820

Engen PA, Green SJ, Voigt RM, Forsyth CB, Keshavarzian A. The Gastrointestinal Microbiome: Alcohol Effects on the Composition of Intestinal Microbiota. Alcohol Res. 2015;37(2):223‐236.

Estaki M, Pither J, Baumeister P, et al. Cardiorespiratory fitness as a predictor of intestinal microbial diversity and distinct metagenomic functions. Microbiome. 2016; 4:42.

Foster JA, Rinaman L, Cryan JF. Stress & the gut-brain axis: Regulation by the microbiome. Neurobiol Stress. 2017;7:124‐136. Published 2017 Mar 19. doi:10.1016/j.ynstr.2017.03.001

García-Peris P., Velasco C., Lozano M., Moreno Y., Paron L., De la Cuerda C., Bretón I., Camblor M., García-Hernández J., Guarner F. Effect of a mixture of inulin and fructo-oligosaccharide on lactobacillus and bifidobacterium intestinal microbiota of patients receiving radiotherapy; a randomised, double-blind, placebo-controlled trial. Nutr. Hosp. 2012;27:1908–1915.

Gopalakrishnan V, Helmink BA, Spencer CN, Reuben A, Wargo JA. The Influence of the Gut Microbiome on Cancer, Immunity, and Cancer Immunotherapy. Cancer Cell. 2018;33(4):570-580. doi:10.1016/j.ccell.2018.03.015

Han B, Sivaramakrishnan P, Lin CCJ, Neve IAA, He J, Tay LWR, Sowa JN, Sizovs A, Du G, Wang J, Herman C, Wang MC. Microbial genetic composition tunes host longevity. Cell. 2017;169(13):1249–62.

Hollander, D., Kaunitz, J.D. The “Leaky Gut”: Tight Junctions but Loose Associations?. Dig Dis Sci 65, 1277–1287 (2020). https://doi.org/10.1007/s10620-019-05777-2

Holscher H.D., Caporaso J.G., Hooda S., Brulc J.M., Fahey Jr G.C., Swanson K.S. Fiber supplementation influences phylogenetic structure and Functional capacity of the human intestinal microbiome: Follow-up of a randomized controlled trial. Am. J. Clin. Nutr. 2014;101:55–64. doi: 10.3945/ajcn.114.092064.

Huang, YJ, Marsland BJ, Bunyavanich S, et al. The microbiome in allergic disease: Current understanding and future opportunities-2017 PRACTALL document of the American Academy of Allergy, Asthma & Immunology and the European Academy of Allergy and Clinical Immunology. J Allergy Clin Immunol. 2017;139(4):1099-1110. doi:10.1016/j.jaci.2017.02.007

J. König, A. Siebenhaar, C. Högenauer et al., Consensus report: faecal microbiota transfer–clinical applications and procedures. Alimentary Pharmacology & Therapeutics, vol. 45, no. 2, pp. 222–239, 2017

Kalliomäki M, Salminen S, Poussa T, Arvilommi H, Isolauri E. Probiotics and prevention of atopic disease: 4-year follow-up of a randomised placebo-controlled trial. Lancet. 2003 May 31; 361(9372):1869-71.

Korpela K, Costea P, Coelho LP, et al. Selective maternal seeding and environment shape the human gut microbiome. Genome Res. 2018;28(4):561‐568. doi:10.1101/gr.233940.117

Lee SH, Yun Y, Kim SJ, et al. Association between Cigarette Smoking Status and Composition of Gut Microbiota: Population-Based Cross-Sectional Study. J Clin Med. 2018;7(9):282. Published 2018 Sep 14. doi:10.3390/jcm7090282

Louis P, Flint HJ. Diversity, metabolism and microbial ecology of butyrate-producing bacteria from the human large intestine. FEMS Microbiol. Lett. 2009; 294(1):1–8.

Mach N, Fuster-Botella D. Endurance exercise and gut microbiota: A review. J Sport Health Sci. 2017;6(2):179-197. doi:10.1016/j.jshs.2016.05.001

Markowiak P, Śliżewska K. Effects of Probiotics, Prebiotics, and Synbiotics on Human Health. Nutrients. 2017;9(9):1021. Published 2017 Sep 15. doi:10.3390/nu9091021

Matson V, Fessler J, Bao R, et al. The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients. Science. 2018;359(6371):104-108. doi:10.1126/science.aao3290

Matsumoto M, Inoue R, Tsukahara T, et al. Voluntary running exercise alters microbiota composition and increases n-butyrate concentration in the rat cecum. Biosci. Biotechnol. Biochem. 2008; 72(2):572–6.

McEwen BS. Central effects of stress hormones in health and disease: Understanding the protective and damaging effects of stress and stress mediators. Eur J Pharmacol. 2008;583(2-3):174‐185. doi:10.1016/j.ejphar. 2007.11.071

Medic G, Wille M, Hemels ME. Short- and long-term health consequences of sleep disruption. Nat Sci Sleep. 2017;9:151–61. 10.2147/NSS.S134864

Modi SR, Collins JJ, Relman DA. Antibiotics and the gut microbiota. J Clin Invest. 2014;124(10):4212-4218. doi:10.1172/JCI72333

Moreno-Pérez D., Bressa C., Bailén M., Hamed-Bousdar S., Naclerio F., Carmona M., Pérez M., González-Soltero R., Montalvo-Lominchar M.G., Carabaña C. Effect of a protein supplement on the gut microbiota of endurance athletes: A randomized, controlled, double-blind pilot study. Nutrition. 2018;10:337. doi: 10.3390/nu10030337

Mu Q, Kirby J, Reilly CM, Luo XM. Leaky Gut As a Danger Signal for Autoimmune Diseases. Front Immunol. 2017;8:598. Published 2017 May 23. doi:10.3389/fimmu.2017.00598

Nagpal R, Mainali R, Ahmadi S, et al. Gut microbiome and aging: Physiological and mechanistic insights. Nutr Healthy Aging. 2018;4(4):267-285. Published 2018 Jun 15. doi:10.3233/NHA-170030

Orla O’Sullivan, Owen Cronin, Siobhan F Clarke, Eileen F Murphy, Micheal G Molloy, Fergus Shanahan & Paul D Cotter (2015) Exercise and the microbiota, Gut Microbes, 6:2, 131-136, DOI: 10.1080/19490976.2015.1011875

Peck, SC., Denger, K., Burrichter, A, Irwin, SM., Balskus, EP., Schleheck, D., A glycyl radical enzyme enables hydrogen sulfide production by the human intestinal bacterium Bilophila wadsworthia. PNAS 2019. 116 (8): 3171–3176. doi:10.1073/pnas.1815661116.

Peled JU, Devlin SM, Staffas A, et al., Intestinal Microbiota and Relapse After Hematopoietic-Cell Transplantation. J Clin Oncol. 2017 May 20; 35(15):1650-1659.

Penders J, Thijs C, van den Brandt PA, et al. Gut microbiota composition and development of atopic manifestations in infancy: the KOALA Birth Cohort Study. Gut. 2007;56(5):661-667. doi:10.1136/gut.2006.100164

Poroyko, V., Carreras, A., Khalyfa, A. et al. Chronic Sleep Disruption Alters Gut Microbiota, Induces Systemic and Adipose Tissue Inflammation and Insulin Resistance in Mice. Sci Rep. 6, 35405 (2016). https://doi.org/10.1038/srep35405

Purohit V, Bode JC, Bode C, et al. Alcohol, intestinal bacterial growth, intestinal permeability to endotoxin, and medical consequences: summary of a symposium. Alcohol. 2008;42(5):349-361. doi:10.1016/j.alcohol.2008.03.131

Queipo-Ortuño M.I., Boto-Ordoñez M., Murri M., Gómez-Zumaquero J.M., Clemente-Postigo M., Estruch R., Diaz F.C., Andres-Lacueva C., Tinahones F.J. Influence of red wine polyphenols and ethanol on the gut microbiota ecology and biochemical biomarkers. Am. J. Clin. Nutr. 2012;95:1323–1334. doi: 10.3945/ajcn.111.027847

Palmer C, Bik EM, DiGiulio DB, Relman DA, Brown PO. Development of the human infant intestinal microbiota. PLoS Biol. 2007;5:e177

Routy B, Le Chatelier E, Derosa L et al., Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science. 2018 Jan 5; 359(6371):91-97

Rowland L, Gibson G, Heinken A, et al. Gut microbiota functions: metabolism of nutrients and other food components. Eur J Nutr. 2018;57(1):1‐24. doi:10.1007/s00394-017-1445-8

Savage DC. Microbial ecology of the gastrointestinal tract. Annu. Rev. Microbiol. 1977;31:107–133.

Santino A, Scarano A, De Santis S, De Benedictis M, Giovinazzo G, Chieppa M
Gut Microbiota Modulation and Anti-Inflammatory Properties of Dietary Polyphenols in IBD: New and Consolidated Perspectives. Curr Pharm Des. 2017; 23(16):2344-2351.

Savage DC. Microbial ecology of the gastrointestinal tract. Annu. Rev. Microbiol. 1977;31:107–133.

Sender R., Fuchs S., Milo R. Are we really vastly outnumbered? Revisiting the ratio of bacterial to host cells in humans. Cell. 2016;164:337–340. doi: 10.1016/j.cell.2016.01.013.

Sergeev IN, Aljutaily T, Walton G, Huarte E. Effects of Synbiotic Supplement on Human Gut Microbiota, Body Composition and Weight Loss in Obesity. Nutrients. 2020;12(1):222. Published 2020 Jan 15. doi:10.3390/nu12010222.

Smith RP, Easson C, Lyle SM, et al. Gut microbiome diversity is associated with sleep physiology in humans. PLoS One. 2019;14(10):e0222394. doi:10.1371/journal.pone.0222394

Tartar JL, Fins AI, Lopez A, Sierra LA, Silverman SA, Thomas SV, et al. Sleep restriction and delayed sleep associate with psychological health and biomarkers of stress and inflammation in women. Sleep health. 2015;1(4):249–56. 10.1016/j.sleh.2015.09.007

Taur Y, Jenq RR, Perales MA, Littmann ER et al., The effects of intestinal tract bacterial diversity on mortality following allogeneic hematopoietic stem cell transplantation. Blood. 2014 Aug 14; 124(7):1174-82.

Turnbaugh, P., Ley, R., Mahowald, M. et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 444, 1027–1031 (2006). https://doi.org/10.1038/nature05414

Vich Vila A, Collij V, Sanna S, et al. Impact of commonly used drugs on the composition and metabolic function of the gut microbiota. Nat Commun 2020;11:362.doi:10.1038/s41467-019-14177

Walker RW, Clemente JC, Peter I, Loos RJF. The prenatal gut microbiome: are we colonized with bacteria in utero?. Pediatr Obes. 2017;12 Suppl 1(Suppl 1):3‐17. doi:10.1111/ijpo.12217

Weston S, Halbert A, Richmond P, Prescott SL. Effects of probiotics on atopic dermatitis: a randomised controlled trial. Arch Dis Child. 2005 Sep; 90(9):892-7.

Wolters, M., Ahrens J., Perez M.R., Watkins C., Sanz Y., Benítez-Páez A., Stanton C., Günther K. Dietary fat, the gut microbiota, and metabolic health–a systematic review conducted within the mynewgut project. Clin. Nutr. 2019;38:2504–2520. doi: 10.1016/j.clnu.2018.12.024.

Wu GD, Chen J, Hoffmann C, et al. Linking long-term dietary patterns with gut microbial enterotypes. Science. 2011;334(6052):105‐108. doi:10.1126/science.1208344

Yang Q, Liang Q, Balakrishnan B, Belobrajdic DP, Feng QJ, Zhang W. Role of Dietary Nutrients in the Modulation of Gut Microbiota: A Narrative Review. Nutrients. 2020;12(2):381. Published 2020 Jan 31. doi:10.3390/nu12020381

Yoon MY, Yoon SS. Disruption of the Gut Ecosystem by Antibiotics. Yonsei Med J. 2018;59(1):4-12. doi:10.3349/ymj.2018.59.1.4

Zeng W, Shen J, Bo T, et al. Cutting Edge: Probiotics and Fecal Microbiota Transplantation in Immunomodulation. J Immunol Res. 2019 :1603758. doi:10.1155/2019/1603758

Zou S., Fang L., Lee M.H. Dysbiosis of gut microbiota in promoting the development of colorectal cancer. Gastroenterol. Rep. 2018;6:1–12. doi: 10.1093/gastro/gox031

Lifestyle & Longevity: Building Immune System Competence

“How do we feasibly adapt our lifestyle approaches to strengthen our immune system?”

Introduction

The immune system is critical for our overall health outcomes and well-being over a lifetime. It is integrated into all aspects of our physiology and operates to protect us from both infectious disease and non-communicable chronic illness. The idea of ‘boosting’ one’s immune system, therefore, presents an appealing focus for many to help maintain and improve health. In this article, we cover research-based strategies on how to give our immune system the upper hand.

“As a consequence, there is no magic bullet or single solution available to bolster our immunity”

Our immune function has evolved as a finely balanced and complex macrocosm of organs, circulating cells, proteins and regulatory molecules that protect us from all manner of invading pathogenic microbes, toxins and allergens. As a consequence, there is no magic bullet or single solution available to bolster our immunity. How do we then feasibly adapt our lifestyle to support it?

In the first instance, it’s important to recognise that the immune system operates through two complimentary functions, or responses, referred to as innate and adaptive immunity.

Innate immunity

Innate immunity includes physical barriers such as the epithelial cells that cover and line the surfaces of our bodies, the mucus that overlays them, and the microscopic hairs known as cilia that move to refresh the mucus and remove anything foreign that may have been inhaled or ingested.

Innate immunity is also provided by our white blood cells or leukocytes. Examples include dendritic cells, macrophages, mast cells and neutrophils — all with unique functions.

There are receptors on the surface of leukocytes that help produce a rapid non-specific immune response. They bind molecular patterns that are commonly expressed on a large number of foreign pathogens or toxins, and are not present in our own body [Chaplin DD. 2010]. This recognition of “non-self” is very important for an appropriate immune response. In addition, these cell types produce signalling molecules like cytokines, that cause inflammation and further increase white blood cell migration to a site of infection.

Other elements of innate immunity are circulating plasma proteins, known as the complement system. They bind to the surface of pathogens directly and mark them out for destruction.

The innate immune response is a rapid, first line of defence against an immune threat and is known to last between 4-7 days, before the synergistic adaptive immune response kicks in. [Janeway CA. 2001]

Adaptive immunity

Adaptive immune function is mediated by cells called lymphocytes, predominantly two types known as T-cells and B-cells. These cells are produced and activated by signals from the innate immune system. T-cells have different roles, including killing their target cells, or regulating the immune response. B-cells are most commonly known for their function as antibody producing cells, although they have other essential roles in the immune system [Chaplin DD. 2010].

One of the outcomes of an adaptive immune response is the creation of memory T-cells and B-cells. The other cells that have been involved in an immune reaction are cleared from the system. Memory cells carry an immunological recall and respond rapidly in the future if we suffer a repeat infection from the same pathogen. Adaptive immunity therefore is distinguished in having a memory [Chaplin DD. 2010].

Every stage of our immune response can be affected by a number of lifestyle factors. We discuss the impact of these individually, and approaches for optimisation in the rest of this article.

“Every stage of our immune response can be affected by a number of lifestyle factors”

The role of micronutrients for optimal immune function

We often hear reference to a study in the media of a particular mineral or vitamin being critical to the immune system, which may increase our propensity to reach for a supplement as a universal fix when we feel we’re succumbing to illness. However, the role of micronutrients is a varied and complex one. Indeed, there are numerous studies to show that vitamins A, C, D, E, B2, B6, B12, folic acid, and the minerals iron, copper, selenium, magnesium and zinc have all been found to be essential for immunocompetence [Maggini S. et al., 2018; Gombart AF. et al., 2020]. There is particularly strong evidence for an immune support function for vitamins C and D and zinc, which we will explore below. However, it’s important to note these act synergistically with multiple other micronutrients at every stage of the immune response.

Vitamin C is not, as sometimes purported, a one shot fix to all things immune, but undoubtedly has some central roles in immune function. These include, but are not limited to, acting as an antioxidant against damaging reactive oxygen and nitrite species produced when pathogens are killed, stimulating the production and movement of leukocytes, supporting the integrity of epithelial barriers, and key roles in the proliferation of lymphocytes and antibody production [Carr AC and Maggini S. 2017; Jacob RA. 2002].

Vitamin C RDA’s for adults are commonly 75mg for women and 90 mg for men [Institute for medicine US. 2000]. Although some suggest saturating plasma levels of vitamin C (100-200 mg) can be used prophylactically to reduce the risk of infection [Carr AC and Maggini S. 2017; Balz Frei et al., 2012 ]. Other peer-review suggests this may shorten the duration of infection, rather than preventing us catching it [Hemilä, H. 2013]. It’s important to note that at high doses, >1g per day, most of it will be excreted in our urine.

Vitamin D is known to have a key role in the regulation of immune function, with most immune cells possessing receptors for it. Some of its actions are an ability to promote differentiation and movement of the many white blood cells in the innate immune response, and inhibit aspects of adaptive immunity. It has also been identified as regulating antimicrobial proteins, that can help the gut in immune defence and protect the lungs from infection [Gombart, A.F. 2009].

Zinc helps maintain the integrity of skin and mucosal membranes. In addition, it has been shown to have a critical role in the function and survival of leukocytes of the innate immune system, T- cell proliferation and differentiation, the complement protein pathway and also antibody production. A decline in the functioning of the thymus (thymic atrophy) – a central organ to healthy immune function, is also seen in zinc deficiency [Gombart AF. 2020].

There is evidence to show that as we age, supplementation of key micronutrients may be beneficial as poor absorption reduces their bioavailability from a standard balanced diet [Maggini S. 2018]. This may be compounded by a less varied diet in some older individuals. So even though our overall required calorie intake reduces as we get older, our relative micronutrient requirements may increase.

In addition, individuals who smoke, have high levels of stress, or are subjected to high levels of pollution require higher micronutrient dietary intake, to counteract the deleterious effects of these factors on their stores [Gombart AF. 2020].

Our gut microbiome has a crucial role

As well as the pathogenic community of microbes we encounter during our lifetimes, many other beneficial ones exist, which use our body as a host in a commensal and mutualistic manner. They help support our normal tissue and organ functions in turn.

There are several such varieties of microbes including bacteria, archaea, yeast, fungi and viruses. Much of the viral count is made up from bacteriophages – viruses that infect bacteria. In totality, some estimates suggest that the human gut may be populated with as many as 100 trillion microbes, the majority of which are located in the colon, and whose collective genome is referred to as the microbiome.

Some microbes are ‘entrenched’ in that they are permanently housed on the gut wall, others are ingested. In addition to dietary roles like helping digestion, synthesising beneficial micronutrients and metabolising others in a useful way, our gut microbiome has been found to have a critical role in immunity.

The gut forms a central point of congregation for many immune cells. They work alongside an epithelial cell and mucus layer in an effort to produce an effective barrier against the microbiome, which is sometimes known as the ‘mucosal firewall,’ thus preventing an unintended immune response against beneficial microbes. The immune cell interactions and signalling responses here are thought to have several beneficial effects to our body’s immunity at large, such as by producing antimicrobial proteins and molecules that adversely affect the survival and virulence of pathogens.

As a result of the research into the role of our microbiome in immune system competence, it is increasingly recognised that fostering a healthy, diverse universe of microbes in our gut contributes substantially to our overall health and ability to fight disease. Not surprisingly, this also comes back to having a balanced diet of the kind referenced above. More specifically, pre-biotics – that help feed the microbiota in our gut, probiotics that include ‘live’ commensal bacteria like lactobacilli and bifidobacteria, and fermented foods have all come into favour in recent years to support microbes and maintain diversity. We will cover the gut microbiome in greater detail in our next paper, dedicated solely to this topic.

Ensure regular, high-quality sleep

The optimal sleep level according to recent research is between 7-8 hrs per night for adults [Daza EJ et al., 2019; Chaput J,P et al., 2018]. Sleep and the body’s circadian rhythm show an intrinsic link to immunity. Fluctuations are seen in the number of circulating immune cells, molecules and overall function of the immune system, during different stages of the sleep/wake cycle.

Specifically, sleep restriction has been shown to perturb immune function. In one study even a mild reduction in the amount of sleep, from 8 to 6 hrs a night for a period of 8 days, was shown to increase pro-inflammatory cytokines. Sustained levels of these pro-inflammatory markers are associated with a wide variety of medical illnesses, including type 2 diabetes and cardiovascular disease. In a separate study, sleep deprivation demonstrated an increased susceptibility to viruses like the common cold [Besedovsky, L. et al., 2012 Review].

The adaptive immune response, and associated immunological memory is thought to be initiated during sleep. For example, studies looking at the response to a Hepatitis A vaccination showed that sleep bolstered the reaction two-fold. Sleep restriction, on the other hand, reduced the response against vaccination to the influenza virus. Studies have also shown that some types of T-cells migrate to the lymph nodes during sleep, which may support the adaptive immune response. Conversely, immune cells of the innate immune system that have more immediate actions, are shown to peak during wakefulness [Besedovsky, L. et al., 2012. Review].

In summary, many research studies highlight that getting a good night’s sleep is essential for optimal immune function. Inversely, sleep restriction, or deprivation acts as a stressor to disrupt immunity, with the potential to act as a contributory factor in the development of chronic illness.

“chronic stress starts to suppress the adaptive and innate immune response by decreasing immune cell numbers and function”

Use techniques to minimise and manage stress

The major mediators of stress in our bodies are the neuroendocrine hormones adrenaline, noradrenaline, corticotropin-releasing factor (CRF), adrenocorticotropin hormone (ACTH), as well as the glucocorticoid — cortisol. Together these make up what’s known as the hypothalmic-pituitary-adrenal (HPA) axis — a feedback loop between the brain and adrenal gland that regulates stress. There are many pathways connecting the HPA axis and the immune system. For example, many white blood cells bind the hormone mediators of stress directly [Segerstrom SC. and Miller JE. 2004].

There are several studies examining the effects of stress on the immune system. A distinction is often drawn between short-term stress, of the ‘fight’ or ‘flight’ type — lasting minutes to hours, versus chronic or long-term stress. The latter being defined as lasting for several hours per day over weeks and months. Short-term stress can actually enhance the immune system to an extent, particularly the innate response, mobilising it against pathogens. In contrast, chronic stress starts to suppress the adaptive and innate immune response by decreasing immune cell numbers and function, in conjunction with an increase in inflammatory and autoimmune responses.

Using interventions designed to minimise the effects of long term stress in our daily lives, can therefore help maximally promote health and healing [Dharbar 2009, 2014].

Quit smoking

Smoking is known to cause cancer and increase the risk of stroke and cardiovascular diseases. In terms of the immune system, research has shown that smoking alters the development, cytokine release, and function of both innate and adaptive immune cells, with a potential to lead to pro-inflammatory responses and dysfunction in immunity. Several studies have linked smoking to auto-immune diseases including rheumatoid arthritis, Crohn’s disease and ulcerative colitis, amongst other conditions highlighted in a recent review [Qiu, F. et al in 2017].

Another study has implicated exposure to cigarette smoke (including second-hand smoke) directly to graft rejection [Wan F., et al 2012]. Whilst further research is needed to elucidate the precise mechanisms responsible for the many smoking-mediated immune effects, it is clear it has damaging outcomes. Therefore, smoking cessation should be considered to be crucial to any efforts to improve immune function.

Reduce your exposure to air pollution

Ambient pollution levels have reached concerning levels globally, with the World Health Organisation (WHO) stating that 91% of the world’s population live in areas of pollution above accepted levels. According to their estimates, outdoor and indoor (household) pollution is thought to contribute to as many as 8 million deaths combined a year. For context, this figure is comparable to the annual number of smoking-related deaths worldwide.

Air pollutants, including particulate matter, mainly deposit themselves on the respiratory airways and the cells that line them, which has been a focus for much of the research in the area. The common effects seen are increases in pro-inflammatory immune responses across multiple classes of immune cells at this location. This has been linked to exacerbations in asthma, allergy and chronic obstructive pulmonary disease (COPD), as well as reduced anti-viral responses. [Glencross, D.A., et al 2020].

Furthermore, studies have also linked air pollution to more diverse immune system problems, including effects on immune development in the neonate, and alterations in the gut microbiome in adults [Glencross, DA. et al., 2020; Dujardin, C et al 2020]

Avoid excessive alcohol consumption

Alcohol consumption has been shown to be detrimental to immune function in a dose dependent manner. Whilst low to moderate alcohol consumption does not show any significant effect, heavier drinking is shown to disrupt innate and adaptive immunity through multiple pathways.

Elevated blood concentrations of ethanol have been shown to interfere directly with the ability of white blood cells to recognise and bind endotoxin, a toxin released when bacteria are destroyed and a key marker of bacterial pathogens, resulting in an increased susceptibility to disease. Heavier drinking reduces the number of dendritic cells, that are key to activating the adaptive immune system into antibody production and pathogen destruction. Other studies have shown a reduced T-lymphocyte population, faster progression rates of viral infection, poor outcomes following injury and deficient wound healing [Molina, PE et al 2010]. Some sources suggest the gut may also become more ‘leaky’ to pathogens after chronic alcohol exposure, resulting in pathogenic molecules crossing into the blood stream [Barr, T. et al., 2017; Sureshchandra, S. et al., 2019].

To be safe, moderate or low risk alcohol consumption should be in line with current government guidelines, which in the UK are a maximum of 14 alcohol units a week or less, for both men and women – equivalent to a maximum of 6 glasses of 175ml wine, 6 pints of beer, or 10 X 25ml shots over 7 days – with designated drink free days across that period. The guidelines in the US are comparable.

Go for moderate, or vigorous, regular exercise <60 mins duration

Exercise has been shown to modulate the immune system in a complex way, dependent on the intensity and duration of the physical exertion. Some documented effects of moderate- and vigorous-intensity aerobic exercise, of less than 60 minutes duration, show a bolstering of the innate immune response. This includes the improved anti-pathogenic activity of macrophages, enhanced circulation of neutrophils and an anti-inflammatory effect. This occurs in parallel with an improved circulation of adaptive immune elements such as cytotoxic T-cells, and immature B-cells, all of which play critical roles in immune defence activity. Metabolically, this sort of exercise can also improve glucose and lipid metabolism over time [Gleeson, M. 2015].

Conversely, immune responses to the type of prolonged and intensive exercise undertaken by professional athletes, have been shown to result in transient immune dysfunction lasting from hours to days [Gleeson, M. 2015] although the long term effects are still being disputed amongst researchers [Campbell, J. 2018].

Ultimately, a lack of exercise and sedentary lifestyle can lead to obesity, that is associated with immune dysfunction, and increased risk to infections [Milner, J. 2012]. Exercise has also been shown to help mitigate the effects of ageing on immune function [Campbell, J. 2018].

A note on immunotherapy

The clear link between lifestyle adaptations and immune system competence is encouraging. We really are in control of much of our health. Moreover, medical advances have shown that our immune system can be manipulated to further help prevent and fight disease. Vaccines are a primary example of this. Here a small amount of altered or inactivated pathogen is injected that can’t in itself cause disease. It effectively hijacks our immune response so that we produce antibodies to protect us against future infection. Catastrophic and fatal diseases like Small Pox have been eradicated as a result.

Recent advances go further. Cancer immunotherapy uses several approaches to harness the power of an individual’s own immune system to attack tumour cells. For example, in chimeric antigen receptor (CAR) T-cell therapy some of a patient’s own immune cells (T-cells) are collected from their blood and modified so they specifically attack cancer cells when introduced back into the body. At present this therapy has shown to be effective in some specific blood cancers (childhood lymphoblastic leukaemia, and lymphoma) [Almåsbak H, et al 2016, Review].

Other types of cancer immunotherapies include monoclonal antibodies that specifically attach to tumour cells, identifying them for destruction by our own immune system. Vaccines are also in development, where components of different types of cancer cells are being used to try and elicit an immune response. Other approaches include administering specific signalling molecules in the immune system called cytokines. One of their mechanisms of action includes encouraging our killer T-cells to attack tumour cells.

Immunotherapies for the treatment of all types of cancer are at a preliminary stage, with applications in a limited number of tumour types. However, research and clinical trials are emerging at a fast pace, and targeted immunotherapy, annexing our own immune system offers much promise for combatting cancer in the future.

“…we can conclude that healthy-living strategies of the kinds outlined, will give our immune systems the best chance of fighting infection and much chronic disease”

Summary

Here we highlight that building and maintaining optimal immunocompetence requires a multi-faceted approach. The immune system is infinitely complex, with researchers still trying to decipher many aspects of its function. It is clear that immune system dysfunction can be problematic and is intrinsically linked to adverse health, including susceptibility to infection, the development of auto-immune diseases and co-morbidities, some of which can significantly reduce lifespan.

Avoiding exposure, and minimising the risk of infection sources through hygiene is very relevant in today’s climate. Furthermore, identifying the specific causes of a weakened immune system – for example nutrient deficiencies – requires clinical tests to ensure appropriate actions are be taken.

There are several lifestyle factors that we can optimise to bolster our innate and adaptive immunity. Studies to date indicate the influential effects of diet, age-related supplementation, gut health, sleep, psychological stress, air pollution, alcohol, smoking and exercise on the immune response. Whilst further research will provide further clarity, we can conclude that healthy-living strategies of the kinds outlined, will give our immune systems the best chance of fighting infection and much chronic disease.

© SX2 Ventures

References

Almåsbak H, Aarvak T, Vemuri MC. CAR T Cell Therapy: A Game Changer in Cancer Treatment. J Immunol Res. 2016;2016:5474602. doi:10.1155/2016/5474602

Alpert P. The role of vitamins and minerals on the immune system. Home Health Care Manag. Pract. 2017;29:199–202. doi: 10.1177/1084822317713300.

Balz Frei, Ines Birlouez-Aragon & Jens Lykkesfeldt (2012) Authors’ Perspective: What is the Optimum Intake of Vitamin C in Humans? Critical Reviews in Food Science and Nutrition, 52:9, 815-829, DOI: 10.1080/10408398.2011.649149

Barr T, Helms C, Grant K, Messaoudi I. Opposing effects of alcohol on the immune system. Prog Neuropsychopharmacol Biol Psychiatry. 2016;65:242–251. doi:10.1016/j.pnpbp.2015.09.001

Belkaid Y, Hand TW. Role of the microbiota in immunity and inflammation. Cell. 2014;157(1):121‐141. doi:10.1016/j.cell.2014.03.011

Besedovsky, L., Lange, T. & Born, J. Sleep and immune function. Pflugers Arch – Eur J Physiol 463, 121–137 (2012). https://doi.org/10.1007/s00424-011-1044-0

Campbell, J.; Turner, J. Debunking the myth of exercise-induced immune suppression: Redefining the impact of exercise on immunological health across the lifespan. Front. Immunol. 2018, 9, 648.
doi: 10.3389/fimmu.2018.00648

Carr AC, Maggini S. Vitamin C and Immune Function. Nutrients. 2017;9(11):1211. Published 2017 Nov 3. doi:10.3390/nu9111211

Chaplin DD. Overview of the immune response. J Allergy Clin Immunol. 2010;125(2 Suppl 2):S3‐S23. doi:10.1016/j.jaci.2009.12.980

Daza EJ, Wac K, Oppezzo M. Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study. Healthcare (Basel). 2019;8(1):6. Published 2019 Dec 25. doi:10.3390/healthcare8010006

Dhabhar, F.S. Effects of stress on immune function: the good, the bad, and the beautiful. Immunol Res 58, 193–210 (2014). https://doi.org/10.1007/s12026-014-8517-0

Dujardin, C, Mars, R, Manemann, S, Kashyap, P, Clements, N, Hassett, L, Roger, V. (2020). Impact of air quality on the gastrointestinal microbiome: A review. Environmental Research. 186. 109485. 10.1016/j.envres.2020.109485.

Ege MJ, Mayer M, Normand AC, Genuneit J, Cookson WO, Braun-Fahrlander C, Heederik D, Piarroux R, von Mutius E. Exposure to environmental microorganisms and childhood asthma. The New England journal of medicine. 2011;364:701–709.

Gleeson, M. Effects of exercise on immune function. Sports Sci. Exch. 2015, 28, 1–6.

Glencross DA, Ho TR, Camiña N, Hawrylowicz CM, Pfeffer PE. Air pollution and its effects on the immune system. Free Radic Biol Med. 2020 Jan 30. pii: S0891-5849(19)31521-7. doi: 10.1016/j.freeradbiomed.2020.01.179.

Gombart, A.F. The vitamin D–antimicrobial peptide pathway and its role in protection against infection. Future Microbiol. 2009, 4, 1151. doi: 10.2217/fmb.09.87.

Gombart AF, Pierre A, Maggini S. A Review of Micronutrients and the Immune System-Working in Harmony to Reduce the Risk of Infection. Nutrients. 2020;12(1):236. Published 2020 Jan 16. doi:10.3390/nu12010236

Hemilä, H.; Chalker, E. Vitamin C for preventing and treating the common cold. Cochrane Database Syst. Rev. 2013, 1, doi: 10.1002/14651858.CD000980.pub4.

Huang YJ, Marsland BJ, Bunyavanich S, O’Mahony L, Leung DY, Muraro A, et al. The microbiome in allergic disease: current understanding and future opportunities-2017 PRACTALL document of the American Academy of Allergy, Asthma & Immunology and the European Academy of Allergy and Clinical Immunology. J Allergy Clin Immunol. 2017;139:1099–1110.

Institute of Medicine (US) Panel on Dietary Antioxidants and Related Compounds. Dietary Reference Intakes for Vitamin C, Vitamin E, Selenium, and Carotenoids. Washington (DC): National Academies Press (US); 2000. 5, Vitamin C. Available from: https://www.ncbi.nlm.nih.gov/books/NBK225480/

Kapsenberg, M. Dendritic-cell control of pathogen-driven T-cell polarization. Nat Rev Immunol 3, 984–993 (2003). https://doi.org/10.1038/nri1246

Jacob RA, Sotoudeh G. Vitamin C function and status in chronic disease. Nutr Clin Care 2002;5:66-74. [PubMed abstract]

Janeway CA Jr, Travers P, Walport M, et al. Immunobiology: The Immune System in Health and Disease. 5th edition. New York: Garland Science; 2001. Principles of innate and adaptive immunity. Available from: https://www.ncbi.nlm.nih.gov/books/NBK27090/

Ley R. E., Peterson D. A., Gordon J. I. (2006). Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell 124 837–848. 10.1016/j.cell.2006.02.017

Maggini S., Beveridge S., Sorbara J., Senatore G. Feeding the immune system: The role of micronutrients in restoring resistance to infections. CAB Rev. 2008;3:1–21. doi: 10.1079/PAVSNNR20083098.

Maggini S, Pierre A, Calder PC. Immune Function and Micronutrient Requirements Change over the Life Course. Nutrients. 2018;10(10):1531. Published 2018 Oct 17. doi:10.3390/nu10101531

Molina PE, Happel KI, Zhang P, Kolls JK, Nelson S. Focus on: Alcohol and the immune system. Alcohol Res Health. 2010;33(1-2):97‐108.

Milner, J.; Beck, M. Micronutrients, immunology and inflammation. The impact of obesity on the immune response to infection. Proc. Nutr. Soc. 2012, 71, 298–306

Qiu F, Liang CL, Liu H, et al. Impacts of cigarette smoking on immune responsiveness: Up and down or upside down?. Oncotarget. 2017;8(1):268‐284. doi:10.18632/oncotarget.13613

Segerstrom SC, Miller GE. Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry. Psychol Bulletin. 2004;130(4):601. doi 10.1037/0033-2909.130.4.601

Sureshchandra, S., Raus, A., Jankeel, A. et al. Dose-dependent effects of chronic alcohol drinking on peripheral immune responses. Sci Rep 9, 7847 (2019). https://doi.org/10.1038/s41598-019-44302-3

Wan F, Dai H, Zhang S, Moore Y, Wan N, Dai Z. Cigarette smoke exposure hinders long-term allograft survival by suppressing indoleamine 2, 3-dioxygenase expression. Am J Transplant. 2012;12:610–619.

Lifestyle & Longevity: Health optimisation in the age of COVID-19

“Can we feasibly optimise our lifestyles to minimise vulnerability and bolster our immune system against Covid-19, its resurgence and similar viruses?”

 

Introduction

Upon writing this paper, the world is in the midst of a significant health pandemic. Covid-19 appeared in China at the end of 2019, as a previously unknown disease and was declared a Public Health Emergency by the World Health Organisation (WHO) on 30th January 2020. Primary research has started to emerge from the hospitals and clinicians treating patients. So, what do we know about the implications of our current health on infection, disease prognosis and outcome? And, can we feasibly optimise our lifestyles to minimise vulnerability and bolster our immune system against Covid-19, its resurgence and similar viruses? Here, we explore some of the preliminary studies to help gain insights.

Covid-19 (also known as 2019-nCoV or SARS-Cov-2) has been identified as a novel betacoronavirus. Coronaviruses encompass a large family of pathogens that cause respiratory infections, including the common cold and more severe diseases such as Middle East Respiratory Syndrome (MERS) and a precursor to Covid-19 — Severe Acute Respiratory Syndrome (SARS). MERS, SARS and the currently circulating Covid-19 are zoonotic diseases, which means they have jumped from infecting animals to humans. [Zhang et al., 2020].

The first line of defence against viruses is to avoid contagion sources. This has resulted in affected countries introducing social distancing measures— to avert the spread of Covid-19 by the inhalation of infected respiratory droplets from others. The message for good hand hygiene and repeated, thorough hand washing using soap and water, to avoid picking up the virus through contact and transferring it to airways, has also been enforced.

 

“We need to glean insights from any research observations from the current pandemic to ensure precautions for our immediate health are taken, and in addition, take stock for future resurgences of the disease or related viruses.”

 

The body’s primary defence against viruses is innate immunity. This includes the physical and chemical barriers of the body, plasma proteins and a range of immune cells, which help elicit responses to protect tissues and attack any foreign invading pathogens. This is followed by an adaptive immune response, where highly specific antibodies are produced against a pathogen to provide immunity from re-infection long-term. Much of what we currently know about the innate and adaptive immune response to Covid-19 are from previous studies on SARS patients. There is evidence that some of the individuals infected with SARS produced antibodies that conferred them with immunity for up to 2 years [Wu LP, et al 2007].

Research on the novel virus is emerging. It is being expedited into the public domain, sometimes prior to peer-review by other scientists, in an effort to maximise help with global health responses. We need to glean insights from any research observations from the current pandemic to ensure precautions for our immediate health are taken, and in addition, take stock for future resurgences of the disease or related viruses.

A true halt to the pandemic would require a viable vaccine, or alternatively a successful drug treatment, fully validated as being effective through clinical trials. As of now, there are several commercial and academic research groups working on a combination of 115 vaccines against SARS-Cov-2. Human clinical trials are now underway for 5 vaccine candidates [Tung Thanh Le et al., 2020]. The drug treatment landscape has anecdotal evidence of efficacy from small cohorts of Covid-19 patients treated globally. These need validation and there are currently some 80 drug clinical trials in progress, as a result. Many companies have made their anti-viral drugs available for testing. It may be months of testing and optimisation before a vaccine or drug is available for the general population. [Rosa, Santos, 2020; Ekins et al 2020].

So what do we know about the implications of what an individual’s current health may have on infection, disease prognosis and outcome? Are there any lifestyle changes we can feasibly take as individuals to minimise vulnerabilities to both Covid-19, it’s resurgence or other coronaviruses? We explore some of the emerging research to help answer these questions below.
 

Emerging observations on co-morbidities and Covid-19

 

“Many [studies] have linked a number of underlying health conditions with the severity of illness and a risk of mortality in their observations. These include cardiovascular disease (CVD), obesity, hypertension, diabetes, chronic obstructive pulmonary disease (COPD), a weak or compromised immune system, and advanced age.”

 

As the pandemic has gripped the globe, primary data and observations have started to emerge from hospitals and clinicians at the forefront of treating patients suffering with Covid-19. At present, there are a limited number of studies, mainly done in China. Many have linked a number of underlying health conditions with the severity of illness and a risk of mortality in their observations. These include cardiovascular disease (CVD), hypertension, diabetes, chronic obstructive pulmonary disease (COPD), obesity, a weak or compromised immune system, and advanced age. Another observation is that more men than women are being treated in hospital from the severe form of the disease. The reasons for this are still not clear.
 

Cardiovascular disease

A meta-analysis from several studies, covering 1527 patients in Wuhan, China, where the outbreak first started, showed that those with pre-existing cardiovascular diseases (CVD), hypertension and diabetes had a much higher chance of having a severe form of Covid-19 requiring intensive care (ICU) treatment. These were two-fold of those of patients who didn’t have the condition, in the cases of diabetes and hypertension, and three-fold higher in individuals with CVD [Li et al., 2020]. Note that this study is a pre-publication and yet to be peer-reviewed by the scientific community.

Authors of a peer-reviewed, single centre study from 179 patients with Covid-19 induced pneumonia admitted to Wuhan Pulmonary Hospital, between Dec 2019 and Feb 2020, also identified pre-existing cardiovascular or cerebrovascular diseases as one of four predictors of mortality [Rong-Hui Du et al., 2020]. This was alongside an age >65 yrs, low levels of circulating CD3+CD8+ T lymphocytes (immune cells essential for killing infected cells and combatting viral replication, amongst many other essential roles) and cardiac damage (demonstrated by elevated levels of the protein troponin).

Another descriptive analysis published in the medical journal The Lancet noted the clinical observations, demographics and lab testing data of 99 patients who developed the severe form of Covid-19 in a single hospital in Wuhan [Chen, Nanshan et al., 2020]. They observed that 68% of these patients were men, the majority of whom were aged 50+, with underlying health conditions. The most prevalent of these illnesses was cardiovascular disease (40% of patients). Other major groups were digestive diseases (11%) and endocrine system diseases (11%). The latter encompassed diabetes. Immune disfunction was also recorded in these patients, including elevated levels of neutrophils (a type of white blood cell that is part of the innate immune response producing signalling proteins called cytokines) and a decrease in T-lymphocytes in many patients. We discuss the significance of some of the key components of the immune system later on in this paper.

It is important to acknowledge that the Covid-19 infection has been shown to produce pneumonia-like symptoms that aggravate damage to the lungs and heart, as the disease progresses. Elevated markers for inflammation, cardiac damage and low oxygen levels are observed in critically ill individuals, which therefore may be as a result of the disease [Petrilli et al 2020, Rong-Hui Du et al., 2020]. However, the emerging research suggests that several pre-existing conditions appear to be a distinct causal risk factor, rather than a disease consequence.

For additional context, it is relevant to note that CVD (cardiovascular disease) is a significant risk factor for mortality in itself. According to WHO figures, it is the number 1 cause of death globally, and accounts for just under a third (31%) of all reported deaths.
 

Obesity

 

“The outcomes from the current pandemic may help bolster the case in the wider global medical community to acknowledge obesity as a disease, and encourage individuals to seek treatment for this chronic condition.”

 

As the virus has spread globally, New York has emerged as an epicentre for COVID-19 cases in the US. In a letter sent to the New England Journal of Medicine, clinicians reviewing the first 393 Covid-19 patients admitted to two New York hospitals, identified obesity as an important risk factor [Goyal et al., 2020 ]. Over 35% of all those admitted were obese, (BMI>30). Patients who went on to require mechanical ventilation were also more likely to be obese, and have elevated liver function-values and inflammatory markers.

A separate, larger observational study, also in New York state, looked to identify risk factors for hospitalisations and adverse outcomes in 4,103 patients [Petrilli et al., 2020]. The strongest risk factors for patients for admission was also obesity (identified here as individuals with a BMI>40), alongside advanced age — individuals >65 yrs. The authors noted that low levels of oxygen (<88%) and elevated inflammatory markers upon admission (d-dimer>2500, ferritin >2500 and C-reactive protein >200) were also indicators of adverse outcomes for patients that included intensive care, mechanical ventilation, hospice admission and/or death.

Although obesity is not recognised as a disease in most countries outside of the US, there has been growing pressure globally to do so by prominent health organisations [Bray, G.A., et al 2017]. In theory, it was classified as a disease by the World Health Organisation at its establishment in 1948 [James, WPT. 2008]. The outcomes from the current pandemic may help bolster the case in the wider global medical community to acknowledge obesity as a disease, and encourage individuals to seek treatment for this chronic condition.
 

Age-related factors and immunity

Advanced age has been highlighted as a risk factor. Several of the studies cited in this paper [Petrilli et al., 2020; Rong Hui Du et al., 2020] show those >65 yrs of age have the highest risk. Increasingly, elevated death rates proportional to age have been documented in several studies globally. In a statement at the start of April 2020, the WHO European Director confirmed that 95% of deaths in Europe’s 30 member states occurred in those >60 yrs of age. In addition, 50% of all deaths were of individuals aged 80 yrs or older [Kluge H. 2020].

As an individual’s age advances their propensity to develop one or more underlying health conditions increases. This may be a contributory factor. For example in the UK, a national study published in 2019 on obesity, highlighted that the proportion of adults who were overweight or obese increased significantly with age, amongst both men and women. The highest levels were observed in men aged between 45 and 74 (78% across these age groups), and women aged between 65 and 74 (73%).

There is also significant evidence that immune function declines with age. The thymus, a critical organ for immunity is known to shrink with age (known as thymic involution in medical terms) [Palmer., 2013]. Since it has a critical role in helping the production of diverse T lymphocytes essential for immunity, this leaves an individual more susceptible to infection, with a reduced ability to generate what’s known as an adaptive (antigen-specific) response to pathogens.

A decrease in essential circulating macronutrients to maintain the immune system, is sometimes seen in those of advanced age. This may be caused by aging-related inefficiencies in absorption and utilization, or because the diet becomes less varied in some cases. In fact, although energy needs may be less as we age, some essential nutrients can be required in higher amounts, through diet or the use of supplements to compensate. [Rémond D et al., 2015,]
 

Smoking and Chronic Obstructive Pulmonary Disease (COPD)

The SARS-Cov-2 virus has been confirmed as gaining entry to cells in the respiratory system by binding to the Angiotensin-Converting Enzyme II (ACE-2) receptor [Zhou P, et al.]. Active smokers and those with chronic obstructive pulmonary disease (COPD) have been shown to express higher levels of this receptor, so may be at increased risk of the severe versions of the disease as a result. Conversely, there is some, yet to be fully verified evidence, that children and adolescents have low levels of expression, which may explain their reduced susceptibility [Skarstein Kolberg E. 2020].

Smokers have a reduced capacity for the blood to carry oxygen and are at increased risk of respiratory infection. There is damage observed to the microscopic hairs, called cilia, on cell surfaces in the airways and lungs in smokers. The vapour inhaled during vaping has a similar effect. Since cilia play a key role in removing debris, mucous and infectious agents, it is plausible that it could leave them more vulnerable. Furthermore, smokers are more likely to have pre-existing cardiovascular and respiratory disease.

This is backed by some clinical observations. A review published in Mar 2020 [Vardavas, C,I and Nikitara, 2020] identified five studies reporting data on the smoking status of patients infected with COVID-19 in China. While not all of the studies were conclusive, the data from the largest of these (1099 patients), showed that smokers were more likely to have severe symptoms of COVID-19, and be admitted to an ICU, need mechanical ventilation or die, compared to non-smokers. A critical limitation of the study was that results were unadjusted for other factors that may impact disease progression.

Indeed, the picture is far from clear cut. There is a research group in France that is currently exploring trialling nicotine patches to determine if they have a protective role, following their findings that smokers are under-represented in those being treated in a Parisian university hospital with coronavirus.

A retrospective analysis on critically ill patients admitted into intensive care in Lombardy, Italy, 1043 of whom had data available, showed 4% had COPD as an existing condition. Other notable outcomes of this analysis were that 82% of patients were male, the most prevalent co-morbidities were hypertension (49%), cardiovascular disease (22%), followed by hypercholesterolemia (18%) [Graselli, G et al., 2020]
 

Are there lifestyle adaptions that can improve our health defences?

 

“What we can conclude is that there are ongoing lifestyle optimisations, based on what we do know, that can stand us in good stead to fight infection more effectively, both in the case of this pandemic, or similar viruses that may emerge long term”

 

Given the current climate, with so much global data still to emerge, it would be naive to suggest there is a quick fix approach to our health that would mitigate the risk of contracting and developing Covid-19. Indeed, the entire learned scientific community is working towards this goal, a validated drug treatment and vaccine. However, what we can conclude is that there are ongoing lifestyle optimisations, based on what we do know, that can stand us in good stead to fight infection more effectively, both in the case of this pandemic, or similar viruses that may emerge long term.

There is a recurrent link emerging between CVD, hypertension, type 2 diabetes, obesity, elevated cholesterol and outcomes for the disease. These co-morbidities can be preventable and are often caused, or exacerbated by a choice of poor diet and lifestyle [Bodai B I, et al., 2018]. There are of course genetic components, and ethnic propensities. For example, CVD is thought to cluster in families. Also, those of South East Asian origin are thought to be pre-disposed to developing Type 2 diabetes at a lower BMI than other ethnicities, due in part to their predisposition to gain visceral fat. [Ma, R. C and Chan J.C. 2013]

However, maintaining a healthy weight, where BMI is 20-25, is a critical first step and one that can be achieved by reducing calorie and saturated fat intake to that recommended for your age and gender, whilst increasing your activity and level of exercise. Physical exercise and regular activity can help maintain a good level of cardiovascular fitness, keep weight under control and, in addition, improve circulation. The latter also allows improved accessibility of circulating immune defence cells to tissues and organs.

It’s important to identify if you’re classified as a borderline individual prior to developing cardiovascular disease, or type 2 diabetes to pre-empt their occurrence. This is sometimes referred to as having ‘metabolic syndrome’ or ‘syndrome X’. Individuals here show raised blood pressure, blood glucose, hypercholesterolemia (high overall levels of cholesterol), an elevated LDL to HDL ratio (bad to good cholesterol), excess abdominal fat and may be overweight (BMI 25+), but not necessarily obese (BMI 30+) [Pérez-Martínez P et al., 2017].

Early interventions, through regular health checks, consultations and blood tests can help pinpoint this, and is something that is sometimes missed in primary healthcare due to a lack of resource and manpower. In the meantime, an individual may have progressed to the preliminary stages of chronic disease development and may require clinical intervention. Alternatively, when metabolic syndrome is identified, ongoing support is often not provided to help instigate the lifestyle changes required longer term.
 

Can we bolster our immune system by healthy-living strategies?

 

“The idea of ‘boosting’ our immunity with a magic bullet agent is, therefore, far too simplistic. It’s actually a fine balance between multiple components.”

 

A healthy immune system is critical to fighting pathogens. Several emerging studies on Covid-19 discussed in this paper have identified lymphopenia (low levels of T lymphocytes), suggesting immune damage or compromise, as one of four risk factors for more severe forms of the Covid-19 disease. Many have also indicated high levels of immune cells, called neutrophils, that release molecules called cytokines — resulting in what is described as a ‘cytokine storm’ that causes inflammation and contribute to the damage to the lungs that is seen in severe cases [Shi, Y., et al 2020]

A good question to ask is — what actually constitutes healthy immunity and can you boost it? In reality, our immune system is an infinitely complex network of tissues, organs, millions of circulating cells of different functions, numerous protein pathways and regulatory molecules that are involved in its regulation. The idea of ‘boosting’ our immunity with a magic bullet agent is, therefore, far too simplistic. It’s actually a fine balance between multiple components.

However, there are some key micronutrients that we need for our immune function, and a healthy dietary intake can help us ensure we get those to a required level. Eating a balanced diet, rich in fruit and vegetables is beneficial to health. Vitamins A, C, D, E, B2, B6 and B12, folic acid, beta carotene, iron, selenium, and zinc have all been shown to have a role in immunocompetence [Alpert B, 2017], and there are daily recommendations on their intake.

As we get older, poor absorption can affect the bioavailability of such nutrients. Supplementation can be necessary in these cases. However, there is a difference between this and over-supplementing with one vitamin, without knowing whether we are deficient in the first place. [Maggini S et al., 2018]

Smoking cessation can improve immune function, leaving us less vulnerable to respiratory illness, improving our blood oxygen levels and overall fitness. Specifically with Covid-19, there’s evidence smoking may increase entry points for the virus in the lungs, as discussed previously.

In terms of other lifestyle factors, alcohol consumption has also been shown to be deleterious for immune function in a dose dependent manner. Whilst moderate alcohol consumption does not show detrimental effect, heavier drinking is shown to disrupt innate and adaptive immunity, and the ability to fight infectious disease [Barr T, et al 2017].

It’s important to note that in the UK the Chief Medical Officer recommends a maximum of 14 alcohol units a week, for both men and women with designated drink free days (equivalent to 6 glasses of 175ml wine, 6 pints of beer, or 10 X 25ml shots over 7 days). The dietary guidelines for Americans are comparable, recommending no more than 1 drink per day for women and up to 2 drinks per day for men (note that 1 drink here constitutes 150 ml of 12% wine, 350 ml of beer or 45 ml of 40% spirit).

Sleep and its accompanying circadian rhythm is intricately linked with activity in our immune system. Some immune processes, including the adaptive immune response are known to peak during a specific phase of nocturnal sleep. Chronic sleep loss can be correlated with an increase in inflammatory markers and immunodeficiency [Besedovsky et al., 2012]. For example, individuals show a diminished response to vaccination after 6 days of restricted sleep [Spiegel K., et al]. There has also been evidence for enhanced susceptibility to viruses like the common cold in the case of poor sleep efficiency.

The optimal sleep is between 7-8 hrs per night for adults [Daza EJ et al., 2019; Chaput J,P et al., 2018]

There have been a number of studies on the effects of stress on the human immune system. Research to date describes a critical distinction seen between short-term stress, lasting a maximum of minutes and hours that actually resulted in some immune enhancement, to chronic long-term stress that was very detrimental to immune function [Dhabhar, F.S. 2014]. Long-term stress was shown to suppress innate and adaptive immune responses, induce low-grade chronic inflammation, and decrease the function and amount of immunoprotective cells.
 

Summary

The epidemiology, and the potential for immunity to Covid-19 are emerging areas of research. We cannot definitively make any assumptions about individual immune response to the virus threat and risk of infection, or outcome yet. We need large scale epidemiological studies for that, which will be available in the coming year, once the peak of the virus has passed and it is under control globally. With the development of a vaccine months or possibly a year or more away, and larger scale clinical trials required to prove the efficacies of drug treatments and avert continued or resurgent infection, Covid-19 may pose a significant threat for the foreseeable future. However, this paper has set out to discuss how we can give our bodies the best fighting chance in the event of immune assaults like the current global pandemic, lower our risk of developing co-morbidities – a known risk factor, and adopt lifestyle adaptations to bolster our immune system.

Dr. Seema Sharma for SX2 Ventures

 

References

Alpert P. The role of vitamins and minerals on the immune system. Home Health Care Manag. Pract. 2017;29:199–202. doi: 10.1177/1084822317713300.
Barr T, Helms C, Grant K, Messaoudi I. Opposing effects of alcohol on the immune system. Prog Neuropsychopharmacol Biol Psychiatry. 2016;65:242–251. doi:10.1016/j.pnpbp.2015.09.001
Besedovsky, L., Lange, T. & Born, J. Sleep and immune function. Pflugers Arch – Eur J Physiol 463, 121–137 (2012). https://doi.org/10.1007/s00424-011-1044-0<
Bo Li and Jing Yang et al., Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin Res Cardiol. 2020 Mar 11 : 1–8. doi: [Epub ahead of print]
Bodai BI, Nakata TE, Wong WT, et al. Lifestyle Medicine: A Brief Review of Its Dramatic Impact on Health and Survival. Perm J. 2018;22:17–025. doi:10.7812/TPP/17-025
Bray, G. A., Kim, K. K., Wilding, J. P. H., and ( 2017) Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obesity Reviews, 18: 715– 723. doi: 10.1111/obr.12551
Chaput JP, Dutil C, Sampasa-Kanyinga H. Sleeping hours: what is the ideal number and how does age impact this?. Nat Sci Sleep. 2018;10:421–430. Published 2018 Nov 27. doi:10.2147/NSS.S163071
Chen, Nanshan et al., Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study The Lancet, Volume 395, Issue 10223, 507 – 513
Daza EJ, Wac K, Oppezzo M. Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study. Healthcare (Basel). 2019;8(1):6. Published 2019 Dec 25. doi:10.3390/healthcare8010006
Dhabhar, F.S. Effects of stress on immune function: the good, the bad, and the beautiful. Immunol Res 58, 193–210 (2014). https://doi.org/10.1007/s12026-014-8517-0
Donald B. Palmer. The Effect of Age on Thymic Function. Front Immunol. 2013; 4: 316. Published online 2013 Oct 7. doi: 10.3389/fimmu.2013.00316
Ekins S, Mottin M, Ramos PRPS, et al. Déjà vu: Stimulating open drug discovery for SARS-CoV-2 [published online ahead of print, 2020 Apr 19]. Drug Discov Today. 2020;doi:10.1016/j.drudis.2020.03.019
Goyal P, Choi JJ, Pinheiro LC, et al. Clinical characteristics of Covid-19 in New York City. N Engl J Med. April 2020 DOI: 10.1056/NEJMc2010419
Grasselli G, Zangrillo A, Zanella A, et al. Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy. JAMA. Published online April 06, 2020. doi:10.1001/jama.2020.5394
James, WPT. WHO recognition of the global obesity epidemic. International Journal of Obesity (2008) 32, S120–S126
Kluge, Hans Henri P. WHO Regional Director for Europe, Copenhagen, 2 April 2020. Statement – Older people are at highest risk from COVID-19, but all must act to prevent community spread.
Leung J.M et al., ACE-2 Expression in the Small Airway Epithelia of Smokers and COPD Patients: Implications for COVID-19. European Respiratory Journal Jan 2020, 2000688; DOI: 10.1183/13993003.00688-2020
Ma RC, Chan JC. Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States. Ann N Y Acad Sci. 2013;1281(1):64–91. doi:10.1111/nyas.12098
Maggini S, Pierre A, Calder PC. Immune Function and Micronutrient Requirements Change over the Life Course. Nutrients. 2018;10(10):1531. Published 2018 Oct 17. doi:10.3390/nu10101531
Pérez-Martínez P, Mikhailidis DP, Athyros VG, et al. Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation. Nutr Rev. 2017;75(5):307–326. doi:10.1093/nutrit/nux014
Petrilli, C.M et al., Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City medRxiv 2020.04.08.20057794; doi: https://doi.org/10.1101/2020.04.08.20057794 [pre-publication]
Rémond D et al., Understanding the gastrointestinal tract of the elderly to develop dietary solutions that prevent malnutrition. Oncotarget. 2015 Jun 10; 6(16):13858-98
Rong-Hui Du et al., Predictors of Mortality for Patients with COVID-19 Pneumonia Caused by SARS-CoV-2: A Prospective Cohort Study European Respiratory Journal 2020; DOI: 10.1183/13993003.00524-2020
Rosa SGV, Santos WC. Clinical trials on drug repositioning for COVID-19 treatment. Rev Panam Salud Publica. 2020;44:e40. Published 2020 Mar 20. doi:10.26633/RPSP.2020.40
Shi, Y., Wang, Y., Shao, C. et al. COVID-19 infection: the perspectives on immune responses. Cell Death Differ 27, 1451–1454 (2020). https://doi.org/10.1038/s41418-020-0530-3
Shlisky, J, et al., Nutritional Considerations for Healthy Aging and Reduction in Age-Related Chronic Disease. Adv Nutr. 2017 Jan; 8(1): 17–26. doi: 10.3945/an.116.013474
Skarstein Kolberg E. ACE2, COVID19 and serum ACE as a possible biomarker to predict severity of disease [published online ahead of print, 2020 Apr 2]. J Clin Virol. 2020;126:104350. doi:10.1016/j.jcv.2020.104350
Spiegel K, Sheridan JF, Van Cauter E (2002) Effect of sleep deprivation on response to immunization. JAMA 288:1471–1472
Tung Thanh Le et al., The COVID-19 vaccine development landscape Nature 09 April ,2020 https://www.nature.com/articles/d41573-020-00073-5
Vardavas, C,I and Nikitara, K. COVID-19 and smoking: A systematic review of the evidence
Tob Induc Dis. 2020; 18: 20. Published online 2020 Mar 20. doi: 10.18332/tid/119324
Wu LP, Wang NC, Chang YH, et al. Duration of antibody responses after severe acute respiratory syndrome. Emerg Infect Dis. 2007;13(10):1562–1564. doi:10.3201/eid1310.070576
Zhang T, Wu Q, Zhang Z. Probable Pangolin Origin of SARS-CoV-2 Associated with the COVID-19 Outbreak. Curr Biol. 2020 Apr 6;30(7):1346-1351.e2. doi: 10.1016/j.cub.2020.03.022. Epub 2020 Mar 19.
Zhou P, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 2020; 579: 270–273. doi:10.1038/s41586-020-2012-7

Lifestyle and Longevity: Stating the Obvious

Ultimately, the best use of an individual’s resources is perpetuating that individual’s existence. And whilst that might seem a little too selfish for some, it’s pretty close to the biological reality for most species. Humans however have a unique ability to influence our longevity through the choices we make for our own biological systems. This is true for humankind collectively – and it is entirely possible, if not likely, that the choices we make during this millennium will lead to the extinction of our species. It is also true on an individual basis. We can materially influence our longevity by the choices we make for ourselves. There is minimal room for fatalist philosophy when it comes to our individual biologies, genetic predispositions aside. Whilst there is still much of the inner workings of our bodies that we do not understand, we know enough to understand that the answers will be scientific.

And yet, medical science, for all of its genius invention and discovery, has strangely subordinated the science of prevention to the science of cure. It is systematic. The UK’s national health budget is divided up 97/8 in favour of treatment and cure versus prevention. A medical student in the UK will spend 5 or more years learning about the body, what goes wrong and how to fix it but only a few mornings worth of lectures on how human lifestyles and environmental factors cause us to become ill in the first place. It’s not meaningfully different in the US or, say, Germany with average tuition time on nutrition somewhere between 10 and 20 hours in total across the entire medical degree. Indeed, studies show that plenty of doctors in these ‘advanced’ countries don’t believe nutrition to be relevant to their work.

No surprise perhaps, with hindsight, that we spent the best part of a century concluding that smoking causes lung cancer despite the evidence in front of us from around the 1940s if not earlier.

Lifestyle and Longevity
Correlation Between Smoking and Lung Cancer in the USA

And we are still paying the price, in lives and dollars, for that wilful blindness. The American Cancer Society estimates that as recently as 2017, there were 222,500 new lung cancer cases diagnosed in the United States and 155,870 lung cancer deaths. Consider all of the resources we have spent finding cures and funding treatments and all we had to do, more or less, at a statistically irrefutable level, was persuade or legislate for people to give up smoking. The cost on lives is bad enough but for health services and insurers facing exploding costs for ageing populations, the monetary costs are ruinous. According to the National Institute of Health in the US, in 2017 the chemotherapy and radiation treatment costs for lung cancer patients enrolled in the federal Medicare system ranged from $4242 to $8287 per month during the initial six months of care and the cost for surgery was $30,096.

Thankfully, lung cancer cases are on the decline in those countries that have acted to educate their citizens of the risk that smoking brings. The bigger question now is whether we have really learned the lesson from smoking and lung cancer – that our lifestyles really do have a material impact on our longevity. Depressing data points on other diseases suggests that we have not. Many cancers, cardiovascular disease, stroke, dementia, and diabetes all have unhealthy lifestyles as a material risk factor, and some are rising as rapidly as lung cancer did in the 20th Century.

For example, since 1996, the number of people diagnosed with diabetes in the UK has risen from 1.4 million to 3.5 million. With another 500,000 estimated to have the disease that remain undiagnosed, this amounts to around 1 in 16 of the population of the United Kingdom currently living with diabetes. Diabetes is a killer resulting in an overall reduction in life expectancy of more than 20 years for Type I and 10 years for Type II. It is also estimated that as much as 10% of the NHS annual budget is now utilised in the treatment of diabetes, equal to around £173 million per week. That’s more than the £8 billion the UK government spends annually on the police service. Type II diabetes makes up around 90% of all cases and there is irrefutable evidence that lifestyle factors summed up in the term ‘obesity’ are a material risk factor for developing Type II diabetes.

Moreover, epidemiologic evidence suggest that people with diabetes are at significantly higher risk of developing many forms of cancer and it is established that Type II diabetes and cancer share many risk factors. A recent study published in the Journal of the National Cancer Institute goes further in finding that new-onset diabetes may be an early indication of pancreatic cancer, the world’s toughest cancer, with survival rates often measured in months. Another clear indication that much cancer is lifestyle and environmentally driven is the rapid increase in incidence seen in the developing world where lifestyles, especially diet, have changed so rapidly over the last few decades. The WHO projects that the global cancer incidence will increase from 14 million in 2012 to 22 million in 2032, with more than 60% of incident cancers and 70% of cancer deaths occurring in central and south America, Africa, and Asia.

Other less well-known diseases are catching up and we have yet to allocate them to the ‘lifestyle disease’ category despite growing evidence. For example, the US Center for Disease Control & Prevention (CDC) estimated that between 1999 and 2015 the incidence of Inflammatory Bowel Syndrome (either Chrohn’s disease or ulcerative colitis) had increased from 2 million to 3 million US adults. The CDC also reports that the prevalence of food allergy in children increased by 50 percent between 1997 and 2011. Each year in the US, c.200,000 people require emergency medical care for allergic reactions to food and childhood hospitalizations for food allergy tripled between the late 1990s and the mid-2000s. Although researchers have yet to determine the precise reason for these major increases, evidence is emerging that our lifestyles and environmental factors including what we eat, where we live and the air we breathe are material risk factors.

Medical researchers currently investigating the human gut microbiome are perhaps closest to providing answers as to why this is the case. In simple terms, the gut microbiome is the collection of bacteria, viruses, microflora and other microbes in our intestinal tract and scientists at our top research centres have been studying its links to all manner of ailments for over a decade. Although much of this is emerging rather than settled science, researchers have already discovered a systemic link between the diversity and health of our gut microbiome and our susceptibility to many diseases including IBD, food allergy, cancers, Alzheimer’s, depression and several auto-immune diseases. The precise causal connection has not yet been fully established, and mainstream medicinal doctrine is yet to embrace it, but there is growing evidence that the microbial ecosystem in our gut is a major indicator of our propensity to many chronic illnesses. Researchers suggest that one of the mechanisms at work may be the interface between our gut lining and the body’s blood and lymphatic systems. A properly functioning gut lining will allow only the required nutrients through into our blood stream, for use around the body, whilst preventing absorption of all the other contents of our intestines. According to the ‘leaky gut’ theory, when this system fails, and we suffer from ‘increased intestinal permeability’ (‘leaky gut’), the body’s immune system is forced to deal with many ‘foreign bodies’ that have been released into the blood stream. This in turn results in increased inflammation which is at the core of many chronic illnesses. The theory remains controversial among many mainstream medical practitioners, who cite a lack of clinical trials, but many others are embracing it as a major reason behind the significant rise of many auto-immune diseases and severe allergies over the last few decades.

And what is it that impacts the health of our gut microbiome perhaps most of all? Naturally, what we consume. It seems entirely obvious that what we put into our bodies directly and significantly influences our health. We are exposing our internal workings to whatever it is we swallow or breath. If we eat, drink or breathe poison we become sick and maybe die. If we smoke, we eventually die, actuarially at least. If we eat a Mediterranean diet, we live longer. If we live like the Japanese we live longer. People from the country-side live longer than those who live in cities. Athletes follow a strict nutritional plan to elevate physical performance. Human space exploration requires strict nutritional planning. We know all of this because the data are incredibly clear. What we consume is a major determinant of our health. It is true that microbiome scientists today cannot say exactly why or how the diversity of our microbiome contributes to the incidence of disease, but they understand enough to know that there is a systemic link and most likely causality. Incidentally, the diversity of the microbiome is also significantly impacted at birth with vaginal births and breast-feeding transferring microbes from mother to baby.

And yet, despite these advances and all that our instinct tells us, our entire healthcare system is set up as if we didn’t know the connection between lifestyle and illness, as if each patient that arrives with the symptoms of a chronic lifestyle disease is just another patient with another disease.

Why is this? Much has been written about the role of nutrition in the beginnings of Western medicinal doctrine. The phrase “Let food be thy medicine and medicine be thy food” has been attributed to Hippocrates. Whether or not that is true, at a certain point Western medicinal doctrine became all about treating the sick rather than about prevention. Not surprisingly perhaps given the explosion in disease during the industrialisation of the planet but that is basically where medical science has been ever since. Big pharma is big business and spends billions convincing us through one method or another that all we really need is more pharmaceuticals. Just spend an hour watching TV in the US and marvel at the advertisements for complex pharmaceuticals aimed directly at individuals, some with side effects that “might include death”. It’s also quite obvious that prescribing clinicians can be brought on side. Read up on the opioid crisis in the US or to a lesser extent the UK.

Imagine, by contrast, if the ‘cure’ for many cancers, heart disease, stroke, Type II diabetes and Alzheimer’s was actually a proactive lifestyle change rather than a reactive pharmaceutical, radiation treatment or surgery. Hint: it is, and the public health data are irrefutable. According to the Lancet, it is possible to prevent or delay the onset of dementia in as many as 35% of people through modifications to risk factors including increased child education and reducing hypertension, hearing disability, obesity, smoking, depression, physical inactivity, diabetes and social isolation. Research and clinical studies show that adopting at least three positive life-style adaptations from not smoking, reduced alcohol, healthy diet and regular exercise makes a significant difference in our propensity to develop dementia versus adopting just one or two of these lifestyle changes. Many other studies show that regular physical exercise is a major contributor to longevity more generally.

Another part of the narrative here relates to the way we anoint medicinal solutions. In order to be approved for sale or prescription to the public, pharmaceuticals go through incredibly rigorous research studies and clinical trials that often cost more than US$100,000,000 and take over 15 years to complete. A new cancer drug could cost as much as US$2 billion to bring to market. What chance is there for a prescription of more vegetables, sleep and physical exercise? Food and most other naturally occurring products are not required to go through clinical trials. But that doesn’t mean they can’t have the equivalent impact on our health. A doctor in the UK or US is more likely to prescribe aspirin than omega-3 fish oil to reduce the risk of heart attack despite large scale trials that show fish oil to be more effective. Clearly, with many illnesses, at a certain point in the lifecycle of the illness, only a pharmaceutical or clinical intervention will yield the desired results. Rightly, significant medical research is devoted to finding cures for diseases or treating those affected. Yet it is abundantly clear that we are not doing enough to prevent the diseases developing in the first instance. The cost in lives and dollars of not doing more by way of prevention is monstrous.

What can be done? I see five avenues of attack. First, healthcare policy makers must devote many more resources to public education, just as we did eventually with smoking, or as we did when the AIDs epidemic first broke. Second, we must change the way that we educate our health professionals so that their studies include more of the science of prevention. That means embracing nutrition as a core medical science rather than a branch of ‘alternative medicine’. Third, we can go further in taxing unhealthy behaviour, extending what we do with smoking and alcohol to sugar-sweetened beverages (SSBs) for example. Certain cities, regions and countries around the world have implemented taxes on SSBs resulting in reduced consumption. Fourth, more funding should be allocated to research into the microbiome and mitochondrial health and how it is affected by, among other factors, antibiotics, additives and chemicals in the food supply chain. The Quadram Institute is a new research centre in the UK set up to do exactly that. And fifth, health insurers – including single payer systems such as the NHS – must incentive healthy living. Some insurers have already begun this by reducing premia for cyclists much in the same way that we can reduce our car insurance premia by using technology to show that we are safe drivers. The point is, it’s not difficult but the impact on public health would be massive.

This article has not touched on the contribution of genetics in the propensity for developing certain illnesses and it is clear from the enormous amount of research over the last decade or two that genetics can be a significant factor in our propensity to certain diseases. Yet, we must understand the implications of these statistics. It is not fate that you develop an illness that your genetics pre-dispose you to. All of us can tilt the odds in our favour by adopting a healthy diet, regular exercise, good sleep and reduced stress. Nor should an individual point to the outliers that smoke, drink, eat badly, don’t exercise and live to 90 plus. The statistics are the statistics. There will always be outliers but that provides no comfort to the vast majority of us that fall within the predictive range of outcomes. It is a high stakes gamble with our health pure and simple.

Would we bet the house on the turn of a roulette wheel? No and partly because the result of the gamble is instant. You can lose your house immediately. Should the fact that we don’t find out if the gamble worked for 30 years lead us to different conclusions? And therein lies the issue. As humans we are happy to defer judgment day for just one more roll of the lifestyle dice. Instead we should be investing in our futures by adopting extremely easy lifestyle choices, giving up smoking, selecting the right diet, taking regular physical and mental exercise, getting good sleep and reducing stress. If we do that we will definitively be extending the length and quality of our lives.

Nor is it an excuse to say that there seems to be constantly conflicting advice on what a good diet is and whether it includes meat or carbohydrates or fat etc. The reality is that avoiding certain elements of modern food is not in debate, especially refined sugar, salt, processed carbohydrates, and ‘bad’ fat. Debate around the benefits of say, polyphenols in wine and coffee, or the avoidance of animal protein and fats will continue to rage, not least given the extensive funding efforts the food and beverage lobby, like the smoking lobby in the past, is able to undertake. We know enough with certainty to be able to recommend diets that will materially increase our longevity. In years to come we will look back on the diets we adopted in the past 50 years, and the way we process food, in the same way we now look back on smoking. We are creating the public health graphs of the 21st Century right now and we need to decide if we see that now or learn later.

Tom Speechley, SX2 Ventures, November 2019


At SX2 Ventures we invest in the business of human care.  One of the areas we are most interested in is longevity and innovations that can be made to the primary care model to refocus resources on preventive steps especially lifestyle factors and non-invasive interventions prior to the onset of chronic illness.

Ten things we all need to know about dementia

Over the last few years dementia as an illness has come out of the shadows. We recognise it more openly in society, the scientific research community is more focused on it and ultimately many more of us are exposed to it through elderly relatives. Here are the ten things we all need to know about dementia.

1. Dementia is not itself a specific disease
Dementia is not a specific disease but rather a medical term used to describe a set of neurological symptoms caused by a group of brain disorders including Alzheimer’s. The most common symptoms are memory loss, confusion, getting lost, difficulty with daily tasks and mood changes. It can reach the point where dementia sufferers don’t know they need to eat or drink and dehydration is a major concern for many people with dementia.

2. Alzheimer’s is the most common form of dementia but there are several others
Alzheimer’s disease is the most well-known cause of dementia, and the most common, but there are several other discrete pathologies of the brain that are dementia causing illnesses. These include vascular dementia, dementia with Lewy bodies, fronto-temporal dementia (also known as Pick’s disease), Parkinson’s disease dementia, Huntington disease dementia, amyotrophic lateral sclerosis and the recently identified LATE form of dementia that mimics Alzheimer’s. Although these different illnesses may affect different parts of the brain, all generally result in brain cell death and result in similar resultant symptoms. Dementia may also be caused, even developing many years later, by traumatic injury to the brain either from a single incident or through repetitive brain injury as is being increasingly recognised among certain sports players.

3. Dementia is not an inevitable outcome of old age
It was originally thought that dementia was merely a symptom of ageing, an inherent decline in cognitive capability that necessarily flows from old age like greying hair and the loss of physical strength. Indeed, old age remains the single biggest risk factor for developing dementia – probably because the changes in the brain that cause dementia appear to start in mid-life, even though caused by other factors – but it is not an inevitable outcome of ageing. This has now been disproven by research and we know that many people who live well into their 90s and beyond have brains that remain remarkably clear of any signs of dementia.

4. Dementia causing illnesses are now the leading cause of death in the UK
Dementia illnesses now result in more deaths in the UK than any other disease including heart disease, any individual cancer or strokes. Although all cancers combined still account for more deaths – and as recently as 2014, twice as many – dementia is projected to overtake all cancers combined in the next decade or two. The growth rate is staggering, with mortality rates from dementia effectively doubling in the last 10 years.

In fact, a major reason for this rapid increase is statistical. In 2011, the Office for National Statistics (ONS) made changes to the way deaths due to dementia are recorded to better reflect guidance from the World Health Organisation. Since then when a person dies with dementia, doctors can report it as the main cause of death on their death certificate. Previously, the immediate cause of death would be listed, such as a fall or an infection like pneumonia. But in many cases, these illnesses are a result of the underlying dementia causing increased frailty, a weakened immune system or problems with swallowing. The ONS also updated their coding system so that vascular dementia would be reflected in the dementia category instead of the stroke (cerebrovascular disease) category.

More fundamentally, the longer-term trend reflects our increasing longevity. Whilst not an inevitable outcome of ageing, as we live longer the risk of developing dementia increases.

5. We do not really know what causes dementia but we are unearthing clues
At the moment we can’t say with any precision why one person develops dementia while another person does not. However, it is becoming clear that a combination of genetic, lifestyle and environmental factors, together with age, are material risk factors. Research is on-going into certain identified genetic risk factors that indicate a predisposition to certain dementia causing illnesses. Many studies have also been published and continue to be undertaken showing the extent to which our lifestyle, especially our diet, physical exercise, sleep and stress levels, can increase (or decrease) the risk of developing dementia. And age continues to be the largest single risk factor, even though it is not the underlying cause per se. For example, in the US, the number of people with Alzheimer’s doubles every five years from age 65 and about one-third of all people age 85 and older may have Alzheimer’s.

6. There is no known cure for dementia
Dementia is the only major cause of death in humans not to have a known cure. As of today, if you develop dementia, absent another intervening cause of death, it will eventually lead to your death. Thus far, despite significantly increased funding and research activity over the last few years, a ‘cure’ remains elusive. Indeed, it is unlikely that there will ever be a ‘cure’ for ‘dementia’ given that it is caused by a range of underlying illnesses and the fact that dementia generally reflects brain cell death which cannot be reversed. Much of the research is focused on Alzheimer’s which is the most common cause of dementia and the state of the R&D is sometimes likened to the search for an HIV cure in the 1980s and 1990s. However, despite the increased focus, funding for Alzheimer’s research is still dwarfed by the amounts spent on cures for cancer.

While identifying a definitive cure is the ultimate goal, identifying drugs that merely slow the pace of onset of dementia is also seen as a major milestone. Analysis by Alzheimer’s Research UK argued that a drug that delayed the onset of dementia by five years would cut the number of people living with the disease by a third and alleviate the economic cost by 36%. As this article was being written, a US bio-tech company made the first announcement of launching such a drug on the market.

7. Despite the absence of a cure, prevention is still possible
It is becoming increasingly evident that lifestyle choices and environmental factors contribute materially to the risk of developing dementia later in life. According to the Lancet, it is possible to prevent or delay the onset of dementia in as many as 35% of people through modifications to risk factors including increased child education and reducing hypertension, hearing disability, obesity, smoking, depression, physical inactivity, diabetes and social isolation. There are now many studies showing that, as with so many other illnesses, regular physical exercise (of body and mind), improved nutrition, good sleep and reduced stress will materially reduce the risk of developing dementia. Research into the human gut microbiome suggests that enhancing the diversity of bacteria and other microbes in our intestinal tract may result in lowering the risk of developing Alzheimer’s or slowing its onset. Another important take-away from the research is that early diagnosis can help with mitigating the onset and impact of dementia by slowing the progress of the disease and at a minimum preparing for it with those around us.

8. The explosion in diagnosis and absence of a cure place a huge responsibility on care
A diagnosis of dementia is currently a lifetime diagnosis and the support of a caregiver will become inevitable at some point. The first line of caregiving support is usually a family member, which may be a life-partner or other immediate family member. The cruelty of the disease is often most acutely felt in this situation as a loved one changes from the closest of companions into a potentially antagonistic stranger, with no recognition for the past years spent together. Moreover, in the absence of control of bodily functions, carers are required to attend to the most basic needs of patients often to the immense embarrassment or shame of the sufferer. It is no surprise that family carers themselves are at a high risk of depression.

Caregiving is also a healthcare service delivered by private and public providers, either at the patient’s home or in a residential facility. However, public resources for dementia care are massively underfunded in the UK. Unlike virtually all other illnesses of aging, the UK’s NHS does not support treatment or long-term care for dementia sufferers. As a result, long term dementia care is primarily the responsibility of local authorities. If no cure is found, the dementia care crisis will swamp publicly available funding. And in the absence of a new national funding plan that supports benchmark care for all sufferers, much of the financial burden falls on the individual with the disease or their family.

9. In other countries euthanasia and assisted dying allow sufferers to elect a dignified death
In the UK the law does not permit euthanasia or assisted dying although there are signs that attitudes may be evolving, partly in response to the explosion of dementia diagnoses. In other countries, a person deemed legally capable of making the decision can elect to end their life in a dignified manner before, in their minds, it is too late and advanced dementia takes hold.

We do not really know the extent to which those with dementia suffer, despite some level of depression being a symptom for some, because no one returns to full health from a dementia diagnosis to describe the effects. However, we do know that dementia slowly robs a patient of their mental and physical faculties. This includes the ability to control bodily functions and cognitive abilities such as memory, mental agility, sight, hearing and speech.

10. What should I do, if anything, if I am concerned about developing dementia?
It is estimated that one in four people in the UK over the age of 55 has a close relative with dementia and that it affects one in 14 people over the age of 65 and one in six over 80. It is not surprising that it is the disease that people of these age groups fear the most. Some of the underlying risk factors such as genetics, gender (it affects more women than men) and possibly ethnicity (for example, South Asians appear to be more prone, especially to vascular dementia, although a major part this may prove to be a function of lifestyle factors such as diet) are beyond our control. However, there is also overwhelming evidence that lifestyle factors significantly increase our chances of developing dementia later in life. This can be detected through high blood pressure, high total cholesterol, obesity and Type 2 diabetes all of which are material risk factors for dementia. Steps we can take that will reduce the risk of developing dementia include giving up smoking even later in life, good diet especially to nourish our microbiome, reduced alcohol consumption, regular exercise for both body and mind, maintaining a healthy weight, being social, reducing stress factors, and getting good sleep. Research and clinical studies show that adopting at least three positive life-style adaptations from not smoking, reduced alcohol, healthy diet and regular exercise makes a significant difference versus adopting just one or two of these lifestyle changes. Such changes will also reduce the risk of other diseases including heart disease, type 2 diabetes, several cancers and stroke.

Tom Speechley, SX2 Ventures, October 2019


At SX2 Ventures we support innovation in the business of human care. One of the areas we are focused on is the design of “next generation dementia care facilities” that combine the very latest evidence-based practices and technologies to improve the quality of care residents receive. The innovations we seek include those that reduce the cost of providing care so that more citizens have access to benchmark quality care. Whilst all of our projects must generate a profit, this is only one metric of success alongside benefit to humankind and experiential value creation.