Circadian disruption, clock genes, and metabolic health DOI Creative Commons

Lauren A. Schrader,

Sean M. Ronnekleiv‐Kelly, John B. Hogenesch

et al.

Journal of Clinical Investigation, Journal Year: 2024, Volume and Issue: 134(14)

Published: July 14, 2024

A growing body of research has identified circadian-rhythm disruption as a risk factor for metabolic health. However, the underlying biological basis remains complex, and complete molecular mechanisms are unknown. There is emerging evidence from animal human to suggest that expression core circadian genes, such locomotor output cycles kaput gene (CLOCK), brain muscle ARNT-Like 1 (BMAL1), period (PER), cyptochrome (CRY), consequent hundreds genes integral regulation cellular metabolism. These represent potential pathophysiological pathways linking adverse health outcomes, including obesity, syndrome, type 2 diabetes. Here, we aim summarize select in vivo models compare these results with epidemiologic findings advance understanding existing foundational mechanistic links between altered clock contributions health-related pathologies. Findings have important implications treatment, prevention, control pathologies leading causes death disability, diabetes, cardiovascular disease, cancer.

Language: Английский

Cross-sectional and Prospective Associations of Actigraphy-Assessed Sleep Regularity With Metabolic Abnormalities: The Multi-Ethnic Study of Atherosclerosis DOI Open Access
Tianyi Huang, Susan Redline

Diabetes Care, Journal Year: 2019, Volume and Issue: 42(8), P. 1422 - 1429

Published: June 5, 2019

To cross-sectionally and prospectively investigate the association between irregular sleep patterns, a potential marker for circadian disruption, metabolic abnormalities.In Multi-Ethnic Study of Atherosclerosis, participants completed 7-day actigraphy at exam 5 (2010-2013) were followed throughout 6 (2016 to 2017). Sleep regularity was quantified by SD actigraphy-assessed duration onset timing. Metabolic abnormalities defined 1) National Cholesterol Education Program Adult Treatment Panel III criteria 2) data-driven clustering factors.In cross-sectional analysis adjusted sociodemographic lifestyle factors (n = 2,003), every 1-h increase in associated with 27% (95% CI 1.10, 1.47) higher odds syndrome, timing 23% 1.06, 1.42) odds. The associations remained significant additional adjustment sleep-related including duration. In prospective 970), corresponding fully ratio (OR) 1.27 0.97, 1.65) 1.36 (1.03, 1.80) Compared cluster few changes, variability almost doubled characterized incidence multiple (OR 1.97 [95% 1.18, 3.30] OR 2.10 1.25, 3.53] timing).Increased prevalence even after consideration other factors.

Language: Английский

Citations

156

Chronotype, Social Jet Lag, and Cardiometabolic Risk Factors in Early Adolescence DOI Open Access
Elizabeth M. Cespedes Feliciano, Sheryl L. Rifas‐Shiman, Mirja Quante

et al.

JAMA Pediatrics, Journal Year: 2019, Volume and Issue: 173(11), P. 1049 - 1049

Published: Sept. 16, 2019

Inadequate sleep duration and quality increase the risk of obesity. Sleep timing, while less studied, is important in adolescents because increasing evening preferences (chronotypes), early school start times, irregular schedules may cause circadian misalignment.To investigate associations chronotype social jet lag with adiposity cardiometabolic young adolescents.Starting 1999, Project Viva recruited pregnant women from eastern Massachusetts. Mother-child in-person visits occurred throughout childhood. From January 23, 2012, to October 16, 2016, 804 aged 12 17 years completed 5 days or more wrist actigraphy, questionnaires, anthropometric measurements. A cross-sectional analysis using these data was conducted April 31, 2018, May 1, 2019.Chronotype, measured via a continuous scale higher scores indicating greater preferences, lag, as difference actigraphy midpoint hours midnight on weekends vs weekdays, values representing delayed timing weekends.Adiposity, anthropometry dual-energy x-ray absorptiometry. For subset 479 blood samples, were computed mean sex- cohort-specific z for waist circumference, systolic pressure, inversely scaled high-density lipoprotein cholesterol, log-transformed triglycerides homeostatic model insulin resistance.Among study, 418 girls 386 boys, (SD) age 13.2 (0.9) years. In multivariable models adjusted age, puberty, season, sociodemographics, varied by sex. girls, preference associated 0.58-cm (95% CI, 0.12-1.03 cm; P = .04 interaction) circumference 0.16 kg/m2 0.01-0.31 kg/m2; .03 fat mass index absorptiometry; each hour 1.19-cm 0.04-2.35 .21 0.45 0.09-0.82 .01 Associations chronotypes persisted many measures after adjustment other lifestyle behaviors. By contrast, no observed boys. There score either sex, although statistical power low this outcome.Evening adolescent but not Interventions aimed at improving be useful obesity prevention, especially girls.

Language: Английский

Citations

147

COVID-19-mandated social restrictions unveil the impact of social time pressure on sleep and body clock DOI Creative Commons
Maria Korman, Vadim Tkachev, Cátia Reis

et al.

Scientific Reports, Journal Year: 2020, Volume and Issue: 10(1)

Published: Dec. 17, 2020

Abstract In humans, sleep regulation is tightly linked to social times that assign local time events, such as school, work, or meals. The impact of these times, collectively—social pressure, on has been studied epidemiologically via quantification the discrepancy between workdays and those work-free days. This known jetlag (SJL). COVID-19-mandated restrictions (SR) constituted a global intervention by affecting worldwide. We launched Global Chrono Corona Survey (GCCS) queried sleep–wake before during SR ( preSR inSR ). 11,431 adults from 40 countries responded April 4 May 6, 2020. final sample consisted 7517 respondents (68.2% females), who had 32.7 ± 9.1 (mean sd) days under SR. led robust changes: mid-sleep free was delayed 50 22 min, respectively; duration increased 26 min but shortened 9 days; SJL decreased ~ 30 min. On , in most people approached their Changes correlated with -use alarm clocks were larger young adults. data indicate massive deficit pre-pandemic provide insights actual need different age-groups suggest tolerable about 20 Relaxed pressure promotes more sleep, smaller reduced use clocks.

Language: Английский

Citations

145

Social Jetlag and Related Risks for Human Health: A Timely Review DOI Open Access
Rocco Caliandro, Astrid A. Streng, Linda W. M. van Kerkhof

et al.

Nutrients, Journal Year: 2021, Volume and Issue: 13(12), P. 4543 - 4543

Published: Dec. 18, 2021

The term social jetlag is used to describe the discrepancy between biological time, determined by our internal body clock, and times, mainly dictated obligations such as school or work. In industrialized countries, two-thirds of studying/working population experiences jetlag, often for several years. Described first time in 2006, a considerable effort has been put into understanding effects on human physiopathology, yet this phenomenon still very limited. Due its high prevalence, becoming primary concern public health. This review summarizes current knowledge regarding associated behavior (e.g., unhealthy eating patterns) related risks

Language: Английский

Citations

127

Circadian disruption, clock genes, and metabolic health DOI Creative Commons

Lauren A. Schrader,

Sean M. Ronnekleiv‐Kelly, John B. Hogenesch

et al.

Journal of Clinical Investigation, Journal Year: 2024, Volume and Issue: 134(14)

Published: July 14, 2024

A growing body of research has identified circadian-rhythm disruption as a risk factor for metabolic health. However, the underlying biological basis remains complex, and complete molecular mechanisms are unknown. There is emerging evidence from animal human to suggest that expression core circadian genes, such locomotor output cycles kaput gene (CLOCK), brain muscle ARNT-Like 1 (BMAL1), period (PER), cyptochrome (CRY), consequent hundreds genes integral regulation cellular metabolism. These represent potential pathophysiological pathways linking adverse health outcomes, including obesity, syndrome, type 2 diabetes. Here, we aim summarize select in vivo models compare these results with epidemiologic findings advance understanding existing foundational mechanistic links between altered clock contributions health-related pathologies. Findings have important implications treatment, prevention, control pathologies leading causes death disability, diabetes, cardiovascular disease, cancer.

Language: Английский

Citations

31