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      Circadian rhythm sleep-wake disorders (CRSWDs): Linking circadian misalignment to adverse health outcomes.

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      EBioMedicine
      Elsevier

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          Abstract

          Sleep comprises roughly one-third of our lives and is vital to human health. Disruptions to behavioural sleep-wake cycles are becoming increasingly common and can lead to adverse health outcomes, including psychiatric and metabolic disorders, cardiovascular disease, and cancer [1,2]. An estimated 15–30% of US adults suffer from the negative effects of dysregulation of sleep, contributing to over $411 billion annual losses or approximately 2.3% of the US gross domestic product [3]. For decades, circadian biologists and sleep researchers have made significant advances in understanding the environmental and biological factors affecting circadian rhythms and sleep disorders in parallel but independently. Though the two-process model of sleep regulation integrates the two fields in theory [4], efforts to understand the molecular mechanisms linking the sleep homeostat and the circadian clock are in their infancy. The timing of sleep is regulated by both homeostatic factors (an increase in sleep drive with hours of wakefulness) and the endogenous circadian system (rhythmic oscillations of clock genes in the brain). Normally, sleep occurs about two hours after the onset of melatonin secretion, a physiological marker of circadian rhythms. In some individuals, this intrinsic circadian clock may cycle later or earlier than socially scheduled sleep time, resulting in a delayed or advanced sleep-wake phase relative to the social environment, a form of social ‘jet lag’. Circadian misalignment with the external environment, e.g., as occurs in shift work, can lead to negative health outcomes, with the most common sleep conditions collectively termed circadian rhythm sleep−wake disorders (CRSWDs). CRSWDs are often misdiagnosed as insomnia or other sleep-related issues—a serious problem as treatments to alleviate sleep issues are ineffective and potentially harmful in patients whose disorders have a circadian etiology [5]. Disentangling circadian factors from sleep issues in a clinical setting is difficult and labor-intensive, yet critical to identifying the correct medical treatment. To date, clear diagnostic standards for CRSWDs are still in development, as is the search for effective therapeutic targets. In a recent article in EBioMedicine, Akashi and colleagues outline an innovative method for solving the former issue [6]. Utilizing the ubiquity of circadian clock function in many peripheral tissues, they demonstrate the use of a non-invasive measure of circadian gene oscillations in hair follicle cells to estimate the phase of an individual's circadian cycle. This intrinsic circadian phase can then be compared relative to behavioural sleep parameters, e.g., what time an individual goes to sleep or what time they wake up, to distinguish whether an individual has a circadian-related sleep condition. In typical CRSWDs, circadian-driven sleepiness is synchronized to habitual sleep timing, but desynchronized to social time schedules. In this study, the authors identify a novel type of CRSWD, referred to as latent circadian-related sleep-wake disorder (LSCRWD). In cases of LCRSWDs, individuals force synchronization of habitual sleep timing to coincide with daily social activities against circadian-driven sleepiness, which causes additional sleep problems. To characterize the circadian-coupling of LSCRWD, Akashi and colleagues discovered a prototypic diagnostic standard for LCRSWD—the interval between the peak expression of the clock gene Period 3 (Per3) and the wake time on a work or school day (GUw). This interval represents the degree of misalignment between the intrinsic circadian rhythm and the socially-influenced sleep-wake cycle; individuals suffering from sleep problems due to a delayed circadian phase have a value of GUw-Per3 peak that is lower than the mean - SD value for the control group. The diagnostic criteria described in the article are required but not sufficient for the development of sleep problems, suggesting additional factors contribute to the development of LCRSWD. To validate the diagnostic criteria, the authors tested whether circadian amelioration (via increased exposure to morning sunlight, decreased exposure to light-emitting devices before bedtime, and stabilization of wake times across work/school days and free days), altered sleep symptoms and the interval of Per3 and GUw. Albeit with a small sample size, the demonstration of improved sleep disturbance scores and an advance in phase (timing of peak Per3 expression) following circadian treatment underscores the utility of using in vivo circadian phase as a means of evaluating potential therapeutic interventions. Reliable in vivo measures of circadian phase are of significance to both clinicians and researchers of basic science. Given that up to one-third of the adult urban population suffers from 2 h or more of social jet lag and that younger generations are exposed to considerably higher levels of bright or blue lights during the evening from modern electronic devices, the number of people suffering from LCRSWD is likely to be substantial [6,7]. By testing for in vivo circadian phase, clinicians can easily and reliably diagnosis circadian disorders from those due to chronic sleep loss or ineffective sleep, and subsequently tailor effective therapies based on the cause and even the type of circadian disorder. Treatmentstrategies for many CRSWDs are based on additional exposure to bright or blue light at appropriate times (morning for delayed and afternoon for advanced phase disorders) and/or prescribed doses of melatonin (e.g., taking oral melatonin one hour prior to bedtime for delayed phase disorder) [5,8]. Once correctly diagnosed, treatments for LCRSWD are both inexpensive and effective, underscoring the significance of accurate diagnostic criteria. Importantly, this study heralds a significant research tool for addressing the outstanding questions at the intersection of the fields of chronobiology and sleep research. Circadian misalignment has been implicated in a number of health problems, ranging from mild, temporary outcomes, ie, those due to travel jet lag or daylight savings, to severe, chronic problems leading to mental health issues, sleep disturbance, and other physiological disorders. Yet, we are still lacking a clear understanding of the molecular mechanisms underlying circadian misalignment and its associated outcomes. Furthermore, it is not known why some individuals who experience circadian misalignment are more susceptible to negative health outcomes than others with similar phase advances or delays. The ability to reliably measure in vivo circadian phase allows researchers to begin to tackle these important questions. Understanding how sleep- and circadian-mediated synchronization of diverse behavioural, metabolic and physiological systems contributes to health resilience and well-being is the next frontier in basic research to improve personalized medicine, pharmacotherapies, mitigation of disease risk and general public health. Contributors The author confirms sole responsibility for the conception and preparation of this invited Commentary. Declaration of Competing Interest KI declares no conflicts of interest.

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          The two-process model of sleep regulation: a reappraisal.

          In the last three decades the two-process model of sleep regulation has served as a major conceptual framework in sleep research. It has been applied widely in studies on fatigue and performance and to dissect individual differences in sleep regulation. The model posits that a homeostatic process (Process S) interacts with a process controlled by the circadian pacemaker (Process C), with time-courses derived from physiological and behavioural variables. The model simulates successfully the timing and intensity of sleep in diverse experimental protocols. Electrophysiological recordings from the suprachiasmatic nuclei (SCN) suggest that S and C interact continuously. Oscillators outside the SCN that are linked to energy metabolism are evident in SCN-lesioned arrhythmic animals subjected to restricted feeding or methamphetamine administration, as well as in human subjects during internal desynchronization. In intact animals these peripheral oscillators may dissociate from the central pacemaker rhythm. A sleep/fast and wake/feed phase segregate antagonistic anabolic and catabolic metabolic processes in peripheral tissues. A deficiency of Process S was proposed to account for both depressive sleep disturbances and the antidepressant effect of sleep deprivation. The model supported the development of novel non-pharmacological treatment paradigms in psychiatry, based on manipulating circadian phase, sleep and light exposure. In conclusion, the model remains conceptually useful for promoting the integration of sleep and circadian rhythm research. Sleep appears to have not only a short-term, use-dependent function; it also serves to enforce rest and fasting, thereby supporting the optimization of metabolic processes at the appropriate phase of the 24-h cycle.
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            Social jetlag and obesity.

            Obesity has reached crisis proportions in industrialized societies. Many factors converge to yield increased body mass index (BMI). Among these is sleep duration. The circadian clock controls sleep timing through the process of entrainment. Chronotype describes individual differences in sleep timing, and it is determined by genetic background, age, sex, and environment (e.g., light exposure). Social jetlag quantifies the discrepancy that often arises between circadian and social clocks, which results in chronic sleep loss. The circadian clock also regulates energy homeostasis, and its disruption-as with social jetlag-may contribute to weight-related pathologies. Here, we report the results from a large-scale epidemiological study, showing that, beyond sleep duration, social jetlag is associated with increased BMI. Our results demonstrate that living "against the clock" may be a factor contributing to the epidemic of obesity. This is of key importance in pending discussions on the implementation of Daylight Saving Time and on work or school times, which all contribute to the amount of social jetlag accrued by an individual. Our data suggest that improving the correspondence between biological and social clocks will contribute to the management of obesity. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Circadian rhythm disruption and mental health

              Circadian rhythms are internal manifestations of the solar day that permit adaptations to predictable environmental temporal changes. These ~24-h rhythms are controlled by molecular clockworks within the brain that are reset daily to precisely 24 h by exposure to the light–dark cycle. Information from the master clock in the mammalian hypothalamus conveys temporal information to the entire body via humoral and neural communication. A bidirectional relationship exists between mood disorders and circadian rhythms. Mood disorders are often associated with disrupted circadian clock-controlled responses, such as sleep and cortisol secretion, whereas disruption of circadian rhythms via jet lag, night-shift work, or exposure to artificial light at night, can precipitate or exacerbate affective symptoms in susceptible individuals. Evidence suggests strong associations between circadian rhythms and mental health, but only recently have studies begun to discover the direct interactions between the circadian system and mood regulation. This review provides an overview of disrupted circadian rhythms and the relationship to behavioral health and psychiatry. The focus of this review is delineating the role of disruption of circadian rhythms on mood disorders using human night shift studies, as well as jet lag studies to identify links. We also review animal models of disrupted circadian rhythms on affective responses. Lastly, we propose low-cost behavioral and lifestyle changes to improve circadian rhythms and presumably behavioral health.
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                Author and article information

                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                27 November 2020
                December 2020
                27 November 2020
                : 62
                : 103142
                Affiliations
                [0001]Department of Biology, Colgate University, United States
                Article
                S2352-3964(20)30518-1 103142
                10.1016/j.ebiom.2020.103142
                7701319
                33254025
                bdf15392-631c-4ec0-aef0-cfb781163892
                © 2020 Published by Elsevier B.V.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 9 November 2020
                : 9 November 2020
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