Literature DB >> 32433754

Personalized medicine and circadian rhythms: Opportunities for modern society.

Carolina Magdalen Greco1, Paolo Sassone-Corsi1.   

Abstract

Circadian rhythms govern physiology and metabolism, leading to controlled homeostasis. We discuss the impact of circadian rhythms on society and the challenges for the imminent future of personalized medicine.
© 2020 Greco and Sassone-Corsi.

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Year:  2020        PMID: 32433754      PMCID: PMC7971139          DOI: 10.1084/jem.20200702

Source DB:  PubMed          Journal:  J Exp Med        ISSN: 0022-1007            Impact factor:   17.579


Circadian rhythms in everyday life

Life is dictated by cyclic activities aligned with the day–night rhythm. Circadian (from the Latin “circa diem”) rhythms pervade virtually all aspects of behavior and physiology. Light is a major zeitgeber (time giver) capable of influencing internal rhythms. Importantly, light-emitting devices are central to modern society. As such, we are continuously exposed to various sources of light that may impact negatively our circadian rhythms (Chang et al., 2015). There are ongoing social debates on topics that concern our circadian rhythms, like whether schools should adjust their schedules to better synchronize them to students’ daily rhythms (Smarr and Schirmer, 2018) or whether daylight savings should be abolished. Circadian rhythms regulate sleep/wake cycles, metabolism of nutrients, hormone secretion, immunological responses, and behavior, just to name a few things. Consequently, disruption of diurnal rhythms has been linked to various pathophysiological outcomes, such as obesity, metabolic syndrome, diabetes, and cancer.

The molecular clock

Virtually every cell in our body has a molecular clock. It consists in a group of transcription factors that generate 24-h oscillations by binding to thousands of sites throughout the genome and driving a system of feedback regulatory loops (Koike et al., 2012). Since the discovery of the molecular clock, an increasing number of studies have looked into 24-h gene expression rhythms. Studies in rodents show that 15% of all genes within a given tissue oscillate with minimal overlap between organs, meaning that approximately half of all expressed genes are rhythmic in at least one tissue (Zhang et al., 2014). More recently, profiling of the diurnal transcriptome of 64 tissues from baboons confirmed the extensiveness of circadian transcription (Mure et al., 2018). Furthermore, circadian oscillations are not limited to gene expression, but remarkably also encompass protein levels, posttranslational modifications, and metabolites. As our understanding of how circadian rhythms impact our physiology grows, awareness of their significance should be taken carefully into account by modern medicine and everyday lifestyle choices.

A time for every drug: The promise of chronopharmacology

At this time, when biomedical and translational research advocate for personalized or precision medicine, several considerations should be drawn from the numerous 24-h -omics datasets generated in recent years. One is of particular importance for clinical practice and drug development: a large proportion of drug targets display cyclic gene expression (Mure et al., 2018; Zhang et al., 2014). Yet, the time of day is contemplated rarely when administering medication. Likewise, a quick search of time-of-day dosing suggestions for Food and Drug Administration–approved drugs returns very few examples. A problematic limitation is that, to date, most of the big data available for circadian gene expression have been derived from animal studies, as the time-resolution required for these studies is virtually impossible for humans. Notably, though, the CYCLOPS algorithm (cyclic ordering by periodic structure) was developed to enable the detection of rhythmic genes from human datasets lacking time-of-day sample collection information (Anafi et al., 2017). The CYCLOPS algorithm was used on a human RNA-sequencing dataset of 632 donors spanning 13 tissues, allowing the construction of a human database of circadian gene expression (Ruben et al., 2018). Similar to what was observed in murine models, 12% of the identified cyclic genes encode for drug targets, drug transporters, or metabolizing enzymes. This tells us that circadian timing very likely influences efficacy as well as toxicity of drugs and could explain, at least in part, the large percentage of failures in clinical trials. Among the drugs predicted to target cyclic genes, many were linked to the cardiovascular system, in keeping with the notion that many cardiovascular functions display 24-h rhythms and that adverse cardiovascular events happen more frequent in the early morning hours. Additionally, cardiotoxicity is one of the most frequent side effects and is often the reason for clinical trial discontinuation. Timing of drug administration to peak expression of its target could thus improve efficacy, and conversely, careful evaluation of rhythmic expression of “off targets” as well as its metabolism/clearance could help reduce toxicity and side effects. Underlining how these findings have high translational value, effectiveness of time-of-day dosing, also known as chronotherapy, has been demonstrated for some cardiovascular medications. A good example is the efficacy of the statin simvastatin, which is greatest when taken before bedtime. Antihypertensive drugs such as the Ca2+ channel blocker nifedipine and angiotensin II receptor antagonists also elicit greater benefits in the evening. Also, the MAPEC (Ambulatory Blood Pressure Monitoring and Cardiovascular Events) clinical study reported an improvement of cardiovascular risk following nighttime targeting of blood pressure (Rana et al., 2020). Circadian dosing will certainly benefit other medical disciplines. Specifically, some promising data on anticancer treatments already exist, and a clinical trial evaluating time-of-day–dependent efficacy and toxicity of an anti-glioblastoma drug is currently recruiting patients (https://clinicaltrials.gov/ct2/show/NCT02781792). Also, vaccinations show time-of-day–dependent variations both in mice and humans (Long et al., 2016; Nobis et al., 2019). Thus, the time has come to start exploiting the growing amount of transcriptomic data now available and translate it to medical practice.

Environment matters

No two people are identical, and this is true for circadian rhythms too. When thinking about personalized medicine, translational potential, and clinical implementation, we need to carefully take into consideration interindividual variability. As a general rule, the human population may be classified into three main chronotypes: morning people, also called “morning larks”; people who prefer going to bed and waking up later, also called “night owls”; and people who fall in between. The picture isn’t that simple, though. We now know that an array of environmental factors, including dietary choices and exercise, can alter tissue-specific rhythms (Fig. 1). There is a time of day that is more appropriate for food intake and for exercise (Asher and Sassone-Corsi, 2015; Ezagouri et al., 2019; Sato et al., 2019). More than 60% of adults in the United States are overweight or obese due to overconsumption of foods with high caloric content. Studies in rodents have shown that high caloric content impacts our circadian rhythms in several ways: first of all, it modifies feeding behavior, leading to a spread-out consumption of calories throughout the day (Kohsaka et al., 2007); second, it affects circadian gene expression and metabolites in an array of tissues (Dyar et al., 2018; Eckel-Mahan et al., 2013). In the liver, it leads to activation of lipid-related transcription factors at a specific circadian time, promoting oscillation of transcriptional pathways involved in fatty acid synthesis, fatty acid oxidation, and glycerophospholipid metabolism. Paralleling gene transcription, a number of lipid metabolites also follow a similar pattern of gain of oscillation (Eckel-Mahan et al., 2013; Guan et al., 2018). A mouse study indicated that targeting PPAR-α—a major regulator of lipid metabolism—at its peak expression with an agonist used in the clinic for hyperlipidemia resulted in greater efficacy at lowering hepatic lipid accumulation when delivered (Guan et al., 2018). For this particular example, we can imagine that a normal weight patient would not profit from a time-of-day dosing protocol, while it would greatly benefit an overweight individual habitually consuming a diet rich in calories. Another very common habit of modern society is social drinking, with a yearly consumption of ∼6.13 liters per person and a percentage of the population consuming large amounts at a time (or “binge drinking”). A recent study showed how acute (binge) or chronic alcohol consumption differentially influence hepatic circadian gene expression rhythms (Gaucher et al., 2019).
Figure 1.

Interplay between the circadian clock network and environmental cues. The central clock regulator in the hypothalamic suprachiasmatic nucleus (SCN) connects with peripheral clocks to ensure timekeeping and physiology. The suprachiasmatic nucleus is entrained by light, while peripheral oscillators can be reset by environmental cues (zeitgebers, or time givers) such as food or exercise. A range of environmental factors can alter tissue-specific rhythms, leading to loss of temporal coherence among tissue clocks and increasing the risk of pathologies.

Interplay between the circadian clock network and environmental cues. The central clock regulator in the hypothalamic suprachiasmatic nucleus (SCN) connects with peripheral clocks to ensure timekeeping and physiology. The suprachiasmatic nucleus is entrained by light, while peripheral oscillators can be reset by environmental cues (zeitgebers, or time givers) such as food or exercise. A range of environmental factors can alter tissue-specific rhythms, leading to loss of temporal coherence among tissue clocks and increasing the risk of pathologies. A major challenge for the upcoming years will be to precisely pinpoint the circadian phenotype of each individual. To do so, several steps should be implemented: self-assessment questionnaires alongside monitoring of physiological parameters such as light exposure, blood pressure, feeding behavior, and activity. Feasibility of the latter was recently proven in a small-scale study performed on healthy individuals (Skarke et al., 2017). Human datasets ought to be extended to include 24-h gene expression rhythms of diseased states known to be influenced by circadian disruption, and identification of circadian biomarkers could be sampled from serum or feces that both display robust rhythmicity of metabolites and microbiota composition, respectively. Finally, algorithms capable of integrating the above mentioned information ought to be developed for human studies.
  18 in total

1.  High-fat diet disrupts behavioral and molecular circadian rhythms in mice.

Authors:  Akira Kohsaka; Aaron D Laposky; Kathryn Moynihan Ramsey; Carmela Estrada; Corinne Joshu; Yumiko Kobayashi; Fred W Turek; Joseph Bass
Journal:  Cell Metab       Date:  2007-11       Impact factor: 27.287

Review 2.  Time for food: the intimate interplay between nutrition, metabolism, and the circadian clock.

Authors:  Gad Asher; Paolo Sassone-Corsi
Journal:  Cell       Date:  2015-03-26       Impact factor: 41.582

3.  Physiological and Molecular Dissection of Daily Variance in Exercise Capacity.

Authors:  Saar Ezagouri; Ziv Zwighaft; Jonathan Sobel; Sébastien Baillieul; Stéphane Doutreleau; Benjamin Ladeuix; Marina Golik; Samuel Verges; Gad Asher
Journal:  Cell Metab       Date:  2019-04-18       Impact factor: 27.287

4.  Time of Exercise Specifies the Impact on Muscle Metabolic Pathways and Systemic Energy Homeostasis.

Authors:  Shogo Sato; Astrid Linde Basse; Milena Schönke; Siwei Chen; Muntaha Samad; Ali Altıntaş; Rhianna C Laker; Emilie Dalbram; Romain Barrès; Pierre Baldi; Jonas T Treebak; Juleen R Zierath; Paolo Sassone-Corsi
Journal:  Cell Metab       Date:  2019-04-18       Impact factor: 27.287

5.  Diurnal transcriptome atlas of a primate across major neural and peripheral tissues.

Authors:  Ludovic S Mure; Hiep D Le; Giorgia Benegiamo; Max W Chang; Luis Rios; Ngalla Jillani; Maina Ngotho; Thomas Kariuki; Ouria Dkhissi-Benyahya; Howard M Cooper; Satchidananda Panda
Journal:  Science       Date:  2018-02-08       Impact factor: 47.728

6.  CYCLOPS reveals human transcriptional rhythms in health and disease.

Authors:  Ron C Anafi; Lauren J Francey; John B Hogenesch; Junhyong Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-24       Impact factor: 11.205

7.  Distinct metabolic adaptation of liver circadian pathways to acute and chronic patterns of alcohol intake.

Authors:  Jonathan Gaucher; Kenichiro Kinouchi; Nicholas Ceglia; Emilie Montellier; Shahaf Peleg; Carolina Magdalen Greco; Andreas Schmidt; Ignasi Forne; Selma Masri; Pierre Baldi; Axel Imhof; Paolo Sassone-Corsi
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-22       Impact factor: 11.205

8.  Transcriptional architecture and chromatin landscape of the core circadian clock in mammals.

Authors:  Nobuya Koike; Seung-Hee Yoo; Hung-Chung Huang; Vivek Kumar; Choogon Lee; Tae-Kyung Kim; Joseph S Takahashi
Journal:  Science       Date:  2012-08-30       Impact factor: 47.728

9.  A database of tissue-specific rhythmically expressed human genes has potential applications in circadian medicine.

Authors:  Marc D Ruben; Gang Wu; David F Smith; Robert E Schmidt; Lauren J Francey; Yin Yeng Lee; Ron C Anafi; John B Hogenesch
Journal:  Sci Transl Med       Date:  2018-09-12       Impact factor: 17.956

10.  A Pilot Characterization of the Human Chronobiome.

Authors:  Carsten Skarke; Nicholas F Lahens; Seth D Rhoades; Amy Campbell; Kyle Bittinger; Aubrey Bailey; Christian Hoffmann; Randal S Olson; Lihong Chen; Guangrui Yang; Thomas S Price; Jason H Moore; Frederic D Bushman; Casey S Greene; Gregory R Grant; Aalim M Weljie; Garret A FitzGerald
Journal:  Sci Rep       Date:  2017-12-07       Impact factor: 4.379

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  6 in total

Review 1.  Circadian rhythms and the HPA axis: A systems view.

Authors:  Ioannis P Androulakis
Journal:  WIREs Mech Dis       Date:  2021-01-12

2.  Circadian control of hepatitis B virus replication.

Authors:  Xiaodong Zhuang; Donall Forde; Senko Tsukuda; Valentina D'Arienzo; Laurent Mailly; James M Harris; Peter A C Wing; Helene Borrmann; Mirjam Schilling; Andrea Magri; Claudia Orbegozo Rubio; Robert J Maidstone; Mudassar Iqbal; Miguel Garzon; Rosalba Minisini; Mario Pirisi; Sam Butterworth; Peter Balfe; David W Ray; Koichi Watashi; Thomas F Baumert; Jane A McKeating
Journal:  Nat Commun       Date:  2021-03-12       Impact factor: 14.919

3.  Editorial: Circadian Rhythm: From Microbes to Hosts.

Authors:  Marina Maria Bellet; Kristin Eckel-Mahan; Luigina Romani
Journal:  Front Cell Infect Microbiol       Date:  2020-11-02       Impact factor: 5.293

Review 4.  Rheostatic Balance of Circadian Rhythm and Autophagy in Metabolism and Disease.

Authors:  Xiang Wang; Zhijie Xu; Yuan Cai; Shuangshuang Zeng; Bi Peng; Xinxin Ren; Yuanliang Yan; Zhicheng Gong
Journal:  Front Cell Dev Biol       Date:  2020-11-24

Review 5.  Hepatitis B and circadian rhythm of the liver.

Authors:  Ivana Skrlec; Jasminka Talapko
Journal:  World J Gastroenterol       Date:  2022-07-21       Impact factor: 5.374

6.  Circadian lipid and hepatic protein rhythms shift with a phase response curve different than melatonin.

Authors:  Brianne A Kent; Shadab A Rahman; Melissa A St Hilaire; Leilah K Grant; Melanie Rüger; Charles A Czeisler; Steven W Lockley
Journal:  Nat Commun       Date:  2022-02-03       Impact factor: 17.694

  6 in total

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