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Zitting KM, Vetrivelan R, Yuan RK, Vujovic N, Wang W, Bandaru SS, Quan SF, Klerman EB, Scheer FAJL, Buxton OM, Williams JS, Duffy JF, Saper CB, Czeisler CA. Chronic circadian disruption on a high-fat diet impairs glucose tolerance. Metabolism 2022; 130:155158. [PMID: 35150732 PMCID: PMC11797635 DOI: 10.1016/j.metabol.2022.155158] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/31/2022] [Accepted: 02/02/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Nearly 14% of Americans experience chronic circadian disruption due to shift work, increasing their risk of obesity, diabetes, and other cardiometabolic disorders. These disorders are also exacerbated by modern eating habits such as frequent snacking and consumption of high-fat foods. METHODS We investigated the effects of recurrent circadian disruption (RCD) on glucose metabolism in C57BL/6 mice and in human participants exposed to non-24-h light-dark (LD) schedules vs. those on standard 24-h LD schedules. These LD schedules were designed to induce circadian misalignment between behaviors including rest/activity and fasting/eating with the output of the near-24-h central circadian pacemaker, while minimizing sleep loss, and were maintained for 12 weeks in mice and 3 weeks in humans. We examined interactions of these circadian-disrupted schedules compared to control 24-h schedules with a lower-fat diet (LFD, 13% in mouse and 25-27% in humans) and high-fat diet (HFD, 45% in mouse and 45-50% in humans). We also used young vs. older mice to determine whether they would respond differently to RCD. RESULTS When combined with a HFD, we found that RCD caused significant weight gain in mice and increased body fat in humans, and significantly impaired glucose tolerance and insulin sensitivity in both mice and humans, but this did not occur when RCD was combined with a LFD. This effect was similar in both young and older mice. CONCLUSION These results in both humans and a model organism indicate that circadian disruption has an adverse effect on metabolism among individuals eating a high-fat Western-style diet, even in the absence of significant sleep loss, and suggest that reducing dietary fat may protect against the metabolic consequences of a lifestyle (such as shift work) that involves chronic circadian disruption.
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Affiliation(s)
- Kirsi-Marja Zitting
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Ramalingam Vetrivelan
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Neurology, Program in Neuroscience and Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Robin K Yuan
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Nina Vujovic
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Wei Wang
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Sathyajit S Bandaru
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Neurology, Program in Neuroscience and Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Stuart F Quan
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Elizabeth B Klerman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Orfeu M Buxton
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Biobehavioral Health, University Park PA 16802, USA
| | - Jonathan S Williams
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jeanne F Duffy
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Clifford B Saper
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Neurology, Program in Neuroscience and Division of Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA.
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Davis R, Rogers M, Coates AM, Leung GKW, Bonham MP. The Impact of Meal Timing on Risk of Weight Gain and Development of Obesity: a Review of the Current Evidence and Opportunities for Dietary Intervention. Curr Diab Rep 2022; 22:147-155. [PMID: 35403984 PMCID: PMC9010393 DOI: 10.1007/s11892-022-01457-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/22/2022] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW The aim of this short review is to provide an updated commentary on the current literature examining the impact of meal timing on obesity and weight gain in adults. The potential mechanisms, including novel and emerging factors, behind timing of food intake across the 24-h period in the development of obesity, and dietary strategies manipulating meal timing to ameliorate weight gain are also explored. RECENT FINDINGS Dietary patterns that feature meal timing outside of the regular daytime hours can contribute to circadian disruption as food is metabolised in opposition to internal daily rhythms and can feedback on the timekeeping mechanisms setting these rhythms. Epidemiological evidence examining the impact of late meal timing patterns is beginning to suggest that eating at night increases the risk of weight gain over time. Mechanisms contributing to this include changes to the efficiency of metabolism across the day, and dysregulation of appetite hormone and gut microbiota by mis-timed meals. When meals are eaten, in relation to the time of day, is increasingly considered of importance when implementing dietary change in order to address the growing burden of obesity, although further research is required in order to determine optimal patterns.
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Affiliation(s)
- Rochelle Davis
- grid.1002.30000 0004 1936 7857Department of Nutrition, Dietetics and Food, Monash University, Level 1, 264 Ferntree Gully Road, Notting Hill, Melbourne, VIC 3168 Australia
| | - Michelle Rogers
- grid.1026.50000 0000 8994 5086Behaviour-Brain-Body Research Centre, UniSA Justice & Society, University of South Australia, Adelaide, South Australia Australia
- grid.1026.50000 0000 8994 5086Alliance for Research in Exercise, Nutrition and Activity Research Concentration, UniSA Allied Health & Human Performance, University of South Australia, Adelaide, South Australia Australia
| | - Alison M. Coates
- grid.1026.50000 0000 8994 5086Behaviour-Brain-Body Research Centre, UniSA Justice & Society, University of South Australia, Adelaide, South Australia Australia
- grid.1026.50000 0000 8994 5086Alliance for Research in Exercise, Nutrition and Activity Research Concentration, UniSA Allied Health & Human Performance, University of South Australia, Adelaide, South Australia Australia
| | - Gloria K. W. Leung
- grid.1002.30000 0004 1936 7857Department of Nutrition, Dietetics and Food, Monash University, Level 1, 264 Ferntree Gully Road, Notting Hill, Melbourne, VIC 3168 Australia
| | - Maxine P. Bonham
- grid.1002.30000 0004 1936 7857Department of Nutrition, Dietetics and Food, Monash University, Level 1, 264 Ferntree Gully Road, Notting Hill, Melbourne, VIC 3168 Australia
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53
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Bowles NP, Thosar SS, McHill AW. CrossTalk opposing view: Insufficient sleep is not responsible for increased risk of metabolic disease in shift workers. J Physiol 2022; 600:1603-1605. [PMID: 35211972 PMCID: PMC9168827 DOI: 10.1113/jp282190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Nicole P Bowles
- Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, OR, USA
| | - Saurabh S Thosar
- Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, OR, USA
- School of Nursing, Oregon Health and Science University, Portland, OR, USA
- School of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
- School of Public Health, Oregon Health and Science University-Portland State University, Portland, OR, USA
| | - Andrew W McHill
- Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, OR, USA
- School of Nursing, Oregon Health and Science University, Portland, OR, USA
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54
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Harmsen JF, Wefers J, Doligkeit D, Schlangen L, Dautzenberg B, Rense P, van Moorsel D, Hoeks J, Moonen-Kornips E, Gordijn MCM, van Marken Lichtenbelt WD, Schrauwen P. The influence of bright and dim light on substrate metabolism, energy expenditure and thermoregulation in insulin-resistant individuals depends on time of day. Diabetologia 2022; 65:721-732. [PMID: 35106618 PMCID: PMC8894310 DOI: 10.1007/s00125-021-05643-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 10/22/2021] [Indexed: 11/04/2022]
Abstract
AIMS/HYPOTHESIS In our modern society, artificial light is available around the clock and most people expose themselves to electrical light and light-emissive screens during the dark period of the natural light/dark cycle. Such suboptimal lighting conditions have been associated with adverse metabolic effects, and redesigning indoor lighting conditions to mimic the natural light/dark cycle more closely holds promise to improve metabolic health. Our objective was to compare metabolic responses to lighting conditions that resemble the natural light/dark cycle in contrast to suboptimal lighting in individuals at risk of developing metabolic diseases. METHODS Therefore, we here performed a non-blinded, randomised, controlled, crossover trial in which overweight insulin-resistant volunteers (n = 14) were exposed to two 40 h laboratory sessions with different 24 h lighting protocols while staying in a metabolic chamber under real-life conditions. In the Bright day-Dim evening condition, volunteers were exposed to electric bright light (~1250 lx) during the daytime (08:00-18:00 h) and to dim light (~5 lx) during the evening (18:00-23:00 h). Vice versa, in the Dim day-Bright evening condition, volunteers were exposed to dim light during the daytime and bright light during the evening. Randomisation and allocation to light conditions were carried out by sequential numbering. During both lighting protocols, we performed 24 h indirect calorimetry, and continuous core body and skin temperature measurements, and took frequent blood samples. The primary outcome was plasma glucose focusing on the pre- and postprandial periods of the intervention. RESULTS Spending the day in bright light resulted in a greater increase in postprandial triacylglycerol levels following breakfast, but lower glucose levels preceding the dinner meal at 18:00 h, compared with dim light (5.0 ± 0.2 vs 5.2 ± 0.2 mmol/l, n = 13, p=0.02). Dim day-Bright evening reduced the increase in postprandial glucose after dinner compared with Bright day-Dim evening (incremental AUC: 307 ± 55 vs 394 ± 66 mmol/l × min, n = 13, p=0.009). After the Bright day-Dim evening condition the sleeping metabolic rate was identical compared with the baseline night, whereas it dropped after Dim day-Bright evening. Melatonin secretion in the evening was strongly suppressed for Dim day-Bright evening but not for Bright day-Dim evening. Distal skin temperature for Bright day-Dim evening was lower at 18:00 h (28.8 ± 0.3°C vs 29.9 ± 0.4°C, n = 13, p=0.039) and higher at 23:00 h compared with Dim day-Bright evening (30.1 ± 0.3°C vs 28.8 ± 0.3°C, n = 13, p=0.006). Fasting and postprandial plasma insulin levels and the respiratory exchange ratio were not different between the two lighting protocols at any time. CONCLUSIONS/INTERPRETATION Together, these findings suggest that the indoor light environment modulates postprandial substrate handling, energy expenditure and thermoregulation of insulin-resistant volunteers in a time-of-day-dependent manner. TRIAL REGISTRATION ClinicalTrials.gov NCT03829982. FUNDING We acknowledge the financial support from the Netherlands Cardiovascular Research Initiative: an initiative with support from the Dutch Heart Foundation (CVON2014-02 ENERGISE).
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Affiliation(s)
- Jan-Frieder Harmsen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jakob Wefers
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Daniel Doligkeit
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Luc Schlangen
- Human-Technology Interaction Group and Intelligent Lighting Institute, Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Bas Dautzenberg
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Pascal Rense
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Dirk van Moorsel
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Joris Hoeks
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Esther Moonen-Kornips
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Marijke C M Gordijn
- Chronobiology Unit, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, the Netherlands
- Chrono@Work, Groningen, the Netherlands
| | - Wouter D van Marken Lichtenbelt
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands.
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Ruddick-Collins LC, Flanagan A, Johnston JD, Morgan PJ, Johnstone AM. Circadian Rhythms in Resting Metabolic Rate Account for Apparent Daily Rhythms in the Thermic Effect of Food. J Clin Endocrinol Metab 2022; 107:e708-e715. [PMID: 34473293 PMCID: PMC8764350 DOI: 10.1210/clinem/dgab654] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Indexed: 01/02/2023]
Abstract
CONTEXT Daily variation in the thermic effect of food (TEF) is commonly reported and proposed as a contributing factor to weight gain with late eating. However, underlying circadian variability in resting metabolic rate (RMR) is an overlooked factor when calculating TEF associated with eating at different times of the day. OBJECTIVE This work aimed to determine whether methodological approaches to calculating TEF contribute to the reported phenomena of daily variation in TEF. METHODS Fourteen overweight to obese but otherwise healthy individuals had their resting and postprandial energy expenditure (EE) measured over 15.5 hours at a clinical research unit. TEF was calculated for breakfast, lunch, and dinner using standard methods (above a baseline and premeal RMR measure) and compared to a method incorporating a circadian RMR by which RMR was derived from a sinusoid curve model and TEF was calculated over and above the continuously changing RMR. Main outcome measures were TEF at breakfast, lunch, and dinner calculated by different methods. RESULTS Standard methods of calculating TEF above a premeal measured RMR showed that morning TEF (60.8 kcal ± 5.6) (mean ± SEM) was 1.6 times greater than TEF at lunch (36.3 kcal ± 8.4) and 2.4 times greater than dinner TEF (25.2 kcal ± 9.6) (P = .022). However, adjusting for modeled circadian RMR nullified any differences between breakfast (54.1 kcal ± 30.8), lunch (49.5 kcal ± 29.4), and dinner (49.1 kcal ± 25.7) (P = .680). CONCLUSION Differences in TEF between morning and evening can be explained by the underlying circadian resting EE, which is independent of an acute effect of eating.
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Affiliation(s)
- Leonie C Ruddick-Collins
- The Rowett Institute, University of Aberdeen, Aberdeen, Scotland, UK
- Correspondence: Leonie C. Ruddick-Collins, PhD, The Rowett Institute, University of Aberdeen, Foresterhill, Aberdeen, Scotland, AB25 2ZD, UK.
| | - Alan Flanagan
- Section of Chronobiology, School of Biosciences and Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford, Surrey, UK
| | - Jonathan D Johnston
- Section of Chronobiology, School of Biosciences and Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford, Surrey, UK
| | - Peter J Morgan
- The Rowett Institute, University of Aberdeen, Aberdeen, Scotland, UK
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Smith HA, Betts JA. Nutrient timing and metabolic regulation symposium review from "Novel dietary approaches to appetite regulation, health and performance (2021)". J Physiol 2022; 600:1299-1312. [PMID: 35038774 PMCID: PMC9305539 DOI: 10.1113/jp280756] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 12/09/2021] [Indexed: 11/19/2022] Open
Abstract
Daily (circadian) rhythms coordinate our physiology and behaviour with regular environmental changes. Molecular clocks in peripheral tissues (e.g. liver, skeletal muscle and adipose) give rise to rhythms in macronutrient metabolism, appetite regulation and the components of energy balance such that our bodies can align the periodic delivery of nutrients with ongoing metabolic requirements. The timing of meals both in absolute terms (i.e. relative to clock time) and in relative terms (i.e. relative to other daily events) is therefore relevant to metabolism and health. Experimental manipulation of feeding–fasting cycles can advance understanding of the effect of absolute and relative timing of meals on metabolism and health. Such studies have extended the overnight fast by regular breakfast omission and revealed that morning fasting can alter the metabolic response to subsequent meals later in the day, whilst also eliciting compensatory behavioural responses (i.e. reduced physical activity). Similarly, restricting energy intake via alternate‐day fasting also has the potential to elicit a compensatory reduction in physical activity, and so can undermine weight‐loss efforts (i.e. to preserve body fat stores). Interrupting the usual overnight fast (and therefore also the usual sleep cycle) by nocturnal feeding has also been examined and further research is needed to understand the importance of this period for either nutritional intervention or nutritional withdrawal. In summary, it is important for dietary guidelines for human health to consider nutrient timing (i.e. when we eat) alongside the conventional focus on nutrient quantity and nutrient quality (i.e. how much we eat and what we eat).
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Affiliation(s)
- Harry A Smith
- Centre for Nutrition Exercise and Metabolism, Department for Health, University of Bath, Bath, BA2 7AY, United Kingdom
| | - James A Betts
- Centre for Nutrition Exercise and Metabolism, Department for Health, University of Bath, Bath, BA2 7AY, United Kingdom
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Alhussain MH, Macdonald IA, Taylor MA. Impact of isoenergetic intake of irregular meal patterns on thermogenesis, glucose metabolism, and appetite: a randomized controlled trial. Am J Clin Nutr 2022; 115:284-297. [PMID: 34555151 DOI: 10.1093/ajcn/nqab323] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 09/21/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Evidence is emerging that interdaily meal pattern variability potentially affects response such as thermic effect of food (TEF), macronutrient metabolism, and appetite. OBJECTIVES To investigate the effect of irregular meal pattern on TEF, glucose, insulin, lipid profile, and appetite regulation in women who are overweight or with obesity and confirmed insulin resistance. DESIGN In a randomized crossover trial, 9 women [mean ± SD BMI (in kg/m2): 33.3 ± 3.1] with confirmed insulin resistance consumed a regular (14 d; 6 meals/d) and an irregular (14 d; 3-9 meals/d) meal pattern separated by a 14-d washout interval. Identical foods were provided during the interventions, and at the start and end of each meal pattern, participants attended the laboratory after an overnight fast. Energy expenditure, glucose, insulin, lipids, adiponectin, leptin, glucagon-like peptide 1 (GLP-1), peptide YY (PYY), and ghrelin were measured at baseline and for 3 h after consumption of a test drink, after which an ad libitum test meal was offered. Subjective appetite ratings were recorded before and after the test drink, after the ad libitum meal, and during the intervention. Continuous interstitial glucose monitoring was undertaken for 7 consecutive days during each intervention. RESULTS TEF (over 3 h) was significantly lower postirregular intervention compared with postregular (97.7 ± 19.2 kJ*3 h in postregular visit and 76.7 ± 35.2 kJ*3 h in postirregular visit, paired t test, P = 0.048). Differences in HOMA-IR between the 2 interventions (3.3 ± 1.7 and 3.6 ± 1.6 in postregular and postirregular meal pattern, respectively) were not significant. Net incremental AUC for GLP-1 concentrations (over 3 h) for the postregular meal pattern were higher (864.9 ± 456.1 pmol/L*3 h) than the postirregular meal pattern (487.6 ± 271.7 pmol/L*3 h, paired t test, P = 0.005). CONCLUSIONS Following a 14-d period of an irregular meal pattern, TEF was significantly less than following a regular meal pattern, potentially compromising weight management if sustained long term. This study was registered at www.clinicaltrials.gov as NCT02582606.
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Affiliation(s)
- Maha H Alhussain
- Department of Food Science and Nutrition, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Ian A Macdonald
- MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Moira A Taylor
- MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, University of Nottingham, Nottingham, UK
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Luo W, Kramer R, de Kort Y, Rense P, van Marken Lichtenbelt W. The effects of a novel personal comfort system on thermal comfort, physiology and perceived indoor environmental quality, and its health implications - Stimulating human thermoregulation without compromising thermal comfort. INDOOR AIR 2022; 32:e12951. [PMID: 34724246 PMCID: PMC9298036 DOI: 10.1111/ina.12951] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/17/2021] [Accepted: 10/13/2021] [Indexed: 06/13/2023]
Abstract
The classical textbook interpretation of thermal comfort is that it occurs when the thermoregulatory effort is minimized. However, stimulating human thermoregulatory systems may benefit health and increase body thermal resilience. To address this gap, we tested a novel personal comfort system (PCS) that targets only the extremities and the head, leaving the rest of the body exposed to a moderately drifting temperature (17-25°C). A randomized, cross-over study was conducted under controlled laboratory conditions, mimicking an office setting. Eighteen participants completed two scenarios, one with a PCS and another one without a PCS in 17-25°C ambient conditions. The results indicate that the PCS improved thermal comfort in 17-23°C and retained active thermoregulatory control. The torso skin temperature, underarm-finger temperature gradients, energy expenditure, substrate oxidations and physical activity were not affected by the PCS in most cases. Only slight changes in cardiovascular responses were observed between the two scenarios. Moreover, the PCS boosted pleasure and arousal. At 25°C, the PCS did not improve thermal comfort, but significantly improved air quality perceptions and mitigated eye strain. These findings suggest that human physiological thermoregulation can be stimulated without compromising thermal comfort by using a PCS that only targets the extremities in cold conditions.
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Affiliation(s)
- Wei Luo
- Department of Nutrition and Movement SciencesSchool of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands
| | - Rick Kramer
- Department of Nutrition and Movement SciencesSchool of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands
- Department of the Built EnvironmentEindhoven University of TechnologyEindhovenThe Netherlands
| | - Yvonne de Kort
- Department of Industrial Engineering and Innovation SciencesEindhoven University of TechnologyEindhovenThe Netherlands
| | - Pascal Rense
- Department of Nutrition and Movement SciencesSchool of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands
| | - Wouter van Marken Lichtenbelt
- Department of Nutrition and Movement SciencesSchool of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands
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Popp CJ, Curran M, Wang C, Prasad M, Fine K, Gee A, Nair N, Perdomo K, Chen S, Hu L, St-Jules DE, Manoogian ENC, Panda S, Sevick MA, Laferrère B. Temporal Eating Patterns and Eating Windows among Adults with Overweight or Obesity. Nutrients 2021; 13:nu13124485. [PMID: 34960035 PMCID: PMC8705992 DOI: 10.3390/nu13124485] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/09/2021] [Accepted: 12/11/2021] [Indexed: 11/16/2022] Open
Abstract
We aim to describe temporal eating patterns in a population of adults with overweight or obesity. In this cross-sectional analysis, data were combined from two separate pilot studies during which participants entered the timing of all eating occasions (>0 kcals) for 10-14 days. Data were aggregated to determine total eating occasions, local time of the first and last eating occasions, eating window, eating midpoint, and within-person variability of eating patterns. Eating patterns were compared between sexes, as well as between weekday and weekends. Participants (n = 85) had a median age of 56 ± 19 years, were mostly female (>70%), white (56.5%), and had a BMI of 31.8 ± 8.0 kg/m2. The median eating window was 14 h 04 min [12 h 57 min-15 h 21 min], which was significantly shorter on the weekend compared to weekdays (p < 0.0001). Only 13.1% of participants had an eating window <12 h/d. Additionally, there was greater irregularity with the first eating occasion during the week when compared to the weekend (p = 0.0002). In conclusion, adults with overweight or obesity have prolonged eating windows (>14 h/d). Future trials should examine the contribution of a prolonged eating window on adiposity independent of energy intake.
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Affiliation(s)
- Collin J. Popp
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
- Correspondence: ; Tel.: +1-(646)-501-3446
| | - Margaret Curran
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - Chan Wang
- Department of Population Health, Division of Biostatistics, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA;
| | - Malini Prasad
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Keenan Fine
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Allen Gee
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Nandini Nair
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Katherine Perdomo
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - Shirley Chen
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - Lu Hu
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - David E. St-Jules
- Department of Nutrition, University of Nevada, Reno, 1664 N. Virginia Street, Reno, NV 89557, USA;
| | - Emily N. C. Manoogian
- Regulatory Biology Department, Salk Institute for Biological Studies, 10010 N Torrey Pines Rd., La Jolla, CA 92037, USA; (E.N.C.M.); (S.P.)
| | - Satchidananda Panda
- Regulatory Biology Department, Salk Institute for Biological Studies, 10010 N Torrey Pines Rd., La Jolla, CA 92037, USA; (E.N.C.M.); (S.P.)
| | - Mary Ann Sevick
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
- Department of Medicine, New York University Langone Health, 550 First Avenue, New York, NY 10016, USA
| | - Blandine Laferrère
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
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60
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Choi Y, Nakamura Y, Akazawa N, Park I, Kwak HB, Tokuyama K, Maeda S. Effects of nocturnal light exposure on circadian rhythm and energy metabolism in healthy adults: A randomized crossover trial. Chronobiol Int 2021; 39:602-612. [PMID: 34903129 DOI: 10.1080/07420528.2021.2014517] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Exposure to continuous light at night, including night-shift work or a nocturnal lifestyle, is emerging as a novel deleterious factor for weight gain and obesity. Here, we examined whether a single bout of bright light (BL) exposure at night affects energy metabolism via changes in circadian rhythm and nocturnal melatonin production. Ten healthy young men were randomized to a two-way crossover experimental design protocol: control (< 50 lux) and BL (approximately 10000 lux) conditions, with at least seven days of interval. The participants were exposed to each condition for 3 h (21:00-24:00) before sleep (0 lux, 00:00-07:00) in a room-type metabolic chamber. On each experimental night (21:00-07:00), energy expenditure, respiratory quotient (RQ), and substrate oxidation were measured to determine the energy metabolism. BL exposure prior to bedtime altered biological rhythms, disrupted the nocturnal decline in body temperature, and suppressed the melatonin level before sleeping, resulting in an increase in sleep latency. Indirect calorimetry data revealed that BL exposure significantly decreased the fat oxidation and increased the RQ, an indicator of the carbohydrate-to-fat oxidation ratio, throughout the whole period (light exposure and sleep). We revealed that acute BL exposure prior to bedtime exacerbated circadian rhythms and substrate oxidations, suggesting that chronic BL exposure at night may lead to obesity risk due to disturbances in circadian rhythms and macronutrient metabolism.
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Affiliation(s)
- Youngju Choi
- Faculty of Health and Sport Science, University of Tsukuba, Tsukuba, Japan.,Institute of Sports & Arts Convergence, Inha University, Incheon, South Korea
| | - Yuki Nakamura
- Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Nobuhiko Akazawa
- Faculty of Health and Sport Science, University of Tsukuba, Tsukuba, Japan.,Department of Sports Research, Japan Institute of Sports Sciences, Tokyo, Japan
| | - Insung Park
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Japan
| | - Hyo-Bum Kwak
- Institute of Sports & Arts Convergence, Inha University, Incheon, South Korea.,Department of Biomedical Science, Program in Biomedical Science & Engineering, Inha University, Incheon, South Korea
| | - Kumpei Tokuyama
- Faculty of Health and Sport Science, University of Tsukuba, Tsukuba, Japan.,International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Japan
| | - Seiji Maeda
- Faculty of Health and Sport Science, University of Tsukuba, Tsukuba, Japan.,Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan
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61
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Mazri FH, Manaf ZA, Shahar S, Mat Ludin AF, Karim NA, Hazwari NDD, Kek QW, Abdul Basir SM, Arifin A. Do Temporal Eating Patterns Differ in Healthy versus Unhealthy Overweight/Obese Individuals? Nutrients 2021; 13:nu13114121. [PMID: 34836375 PMCID: PMC8618797 DOI: 10.3390/nu13114121] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/12/2021] [Accepted: 11/13/2021] [Indexed: 01/29/2023] Open
Abstract
This study examined whether the temporal patterns of energy and macronutrient intake in early and late eating windows were associated with metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) among non-shift workers. A total of 299 overweight/obese non-shift workers (Age: 40.3 ± 6.9 years; 73.6% women; BMI: 31.7 ± 5.0 kg/m2) were recruited in the Klang Valley area of Malaysia. The biochemical parameters were determined from fasting blood samples, whereas information on dietary intake and timing was obtained from a 7-day diet history questionnaire. The midpoint of eating was used to determine the early and late windows. Compared to MHO non-shift workers (n = 173), MUO non-shift workers (n = 126) had lower energy intake from carbohydrates and protein during the early window. In contrast, MUO participants had greater energy intake from carbohydrates and fat during the late window. Participants with unhealthy metabolic status (regardless of their chronotypes) had similar temporal patterns of energy intake characterized by smaller energy intake during the early window and greater energy intake during the late window compared with participants with healthier metabolic status. Overall, the lowest percentile of energy intake during the early window was associated with an increased risk of MUO, after adjustment for potential confounders [odds ratio (OR) = 4.30, 95% confidence interval (CI) 1.41-13.11]. The greater the energy intake during the late window, the greater the risk of MUO (OR = 2.38, 95% CI 1.11-5.13) (OR = 2.33, 95% CI 1.03-5.32) (OR = 4.45, 95% CI 1.71-11.56). In summary, consuming less energy earlier in the day and more energy and carbohydrate later in the day was associated with a greater risk of MUO. Thus, a prospective study is needed to explore the potential role of chrono-nutrition practices in modifying risk factors to delay the transition of MHO to MUO.
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Affiliation(s)
- Fatin Hanani Mazri
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (F.H.M.); (S.S.); (N.D.D.H.); (Q.W.K.); (S.M.A.B.)
| | - Zahara Abdul Manaf
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (F.H.M.); (S.S.); (N.D.D.H.); (Q.W.K.); (S.M.A.B.)
- Correspondence:
| | - Suzana Shahar
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (F.H.M.); (S.S.); (N.D.D.H.); (Q.W.K.); (S.M.A.B.)
| | - Arimi Fitri Mat Ludin
- Biomedical Science Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Norwahidah Abdul Karim
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Cheras, Kuala Lumpur 56000, Malaysia;
| | - Nur Diyana Dalila Hazwari
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (F.H.M.); (S.S.); (N.D.D.H.); (Q.W.K.); (S.M.A.B.)
| | - Qi Wen Kek
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (F.H.M.); (S.S.); (N.D.D.H.); (Q.W.K.); (S.M.A.B.)
| | - Siti Munirah Abdul Basir
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (F.H.M.); (S.S.); (N.D.D.H.); (Q.W.K.); (S.M.A.B.)
| | - Asnida Arifin
- Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
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62
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Phoi YY, Bonham MP, Rogers M, Dorrian J, Coates AM. Content Validation of a Chrononutrition Questionnaire for the General and Shift Work Populations: A Delphi Study. Nutrients 2021; 13:nu13114087. [PMID: 34836341 PMCID: PMC8620673 DOI: 10.3390/nu13114087] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 11/11/2021] [Accepted: 11/11/2021] [Indexed: 12/11/2022] Open
Abstract
Unusual meal timing has been associated with a higher prevalence of chronic disease. Those at greater risk include shift workers and evening chronotypes. This study aimed to validate the content of a Chrononutrition Questionnaire for shift and non-shift workers to identify temporal patterns of eating in relation to chronotype. Content validity was determined using a Delphi study of three rounds. Experts rated the relevance of, and provided feedback on, 46 items across seven outcomes: meal regularity, times of first eating occasion, last eating occasion, largest meal, main meals/snacks, wake, and sleep, which were edited in response. Items with greater than 70% consensus of relevance were accepted. Rounds one, two, and three had 28, 26, and 24 experts, respectively. Across three rounds, no outcomes were irrelevant, but seven were merged into three for ease of usage, and two sections were added for experts to rate and comment on. In the final round, all but one of 29 items achieved greater than 70% consensus of relevance with no further changes. The Chrononutrition Questionnaire was deemed relevant to experts in circadian biology and chrononutrition, and could represent a convenient tool to assess temporal patterns of eating in relation to chronotype in future studies.
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Affiliation(s)
- Yan Yin Phoi
- UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia;
- Alliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, University of South Australia, Adelaide, SA 5001, Australia;
| | - Maxine P. Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC 3168, Australia;
| | - Michelle Rogers
- Alliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, University of South Australia, Adelaide, SA 5001, Australia;
- UniSA Justice and Society, University of South Australia, Adelaide, SA 5072, Australia;
| | - Jillian Dorrian
- UniSA Justice and Society, University of South Australia, Adelaide, SA 5072, Australia;
- Behaviour-Brain-Body Research Centre, University of South Australia, Adelaide, SA 5072, Australia
| | - Alison M. Coates
- UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia;
- Alliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, University of South Australia, Adelaide, SA 5001, Australia;
- Correspondence:
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63
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Yuan RK, Zitting KM, Duffy JF, Vujovic N, Wang W, Quan SF, Klerman EB, Scheer FAJL, Buxton OM, Williams JS, Czeisler CA. Chronic Sleep Restriction While Minimizing Circadian Disruption Does Not Adversely Affect Glucose Tolerance. Front Physiol 2021; 12:764737. [PMID: 34744800 PMCID: PMC8564292 DOI: 10.3389/fphys.2021.764737] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 09/24/2021] [Indexed: 11/24/2022] Open
Abstract
Insufficient sleep, which has been shown to adversely affect metabolism, is generally associated with prolonged exposure to artificial light at night, a known circadian disruptor. There is growing evidence suggesting that circadian disruption adversely affects metabolism, yet few studies have attempted to evaluate the adverse metabolic effects of insufficient sleep while controlling for circadian disruption. We assessed postprandial glucose and insulin responses to a standard breakfast meal in healthy adults (n = 9) who underwent 3 weeks of chronic sleep restriction (CSR) in a 37-day inpatient study while minimizing circadian disruption by maintaining the same duration of light exposure each study day. We compared these results to findings from an earlier inpatient study which used a forced desynchrony (FD) protocol to assess the influence of 3 weeks of CSR combined with recurrent circadian disruption (RCD) on glycemic control in healthy adults (n = 21). CSR combined with RCD resulted in significantly elevated postprandial plasma glucose levels (p < 0.0001), while CSR with minimized circadian disruption had no adverse glycemic effects after 3 weeks of exposure (EXP). These results suggest that one mechanism by which sleep restriction impacts metabolism may be via concurrent circadian disruption.
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Affiliation(s)
- Robin K Yuan
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Kirsi-Marja Zitting
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Jeanne F Duffy
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Nina Vujovic
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Wei Wang
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Stuart F Quan
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Elizabeth B Klerman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Orfeu M Buxton
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States.,Department of Biobehavioral Health, Pennsylvania State University, University Park, PA, United States
| | - Jonathan S Williams
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
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64
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Haghayegh S, Smolensky MH, Khoshnevis S, Hermida RC, Castriotta RJ, Diller KR. The Circadian Rhythm of Thermoregulation Modulates both the Sleep/Wake Cycle and 24 h Pattern of Arterial Blood Pressure. Compr Physiol 2021; 11:2645-2658. [PMID: 34636410 DOI: 10.1002/cphy.c210008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Borbély proposed an interacting two-component model of sleep regulation comprising a homeostatic Process S and a circadian Process C. The model has provided understanding of the association between core body temperature (CBT) as a key element of Process C that is deterministic of sleep onset and offset. However, it additionally provides a new perspective of the importance of the thermoregulatory mechanisms of Process C in modulating the circadian rhythm of arterial blood pressure (ABP). Herein, we examine the circadian physiology of thermoregulation, including at the end of the activity span the profound redistribution of cardiac output from the systemic circulation to the arteriovenous anastomoses of the glabrous skin that markedly enhances convective transfer of heat from the body to the environment to cause (i) decrease of the CBT as a pathway to sleep onset and (ii) attenuation of the asleep ABP mean and augmentation of the ABP decline (dipping) from the wake-time mean, in combination the strongest predictors of the risk for blood vessel and organ pathology and morbid and mortal cardiovascular disease events. We additionally review the means by which blood perfusion to the glabrous skin can be manipulated on demand by selective thermal stimulation, that is, mild warming, on the skin of the cervical spinal cord to intensify Process C as a way to facilitate sleep induction and promote healthy asleep ABP. © 2021 American Physiological Society. Compr Physiol 11:1-14, 2021.
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Affiliation(s)
- Shahab Haghayegh
- Department of Biostatics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.,Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA
| | - Michael H Smolensky
- Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA.,Department of Internal Medicine, Division of Pulmonary and Sleep Medicine, McGovern School of Medicine, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Sepideh Khoshnevis
- Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA
| | - Ramon C Hermida
- Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA.,Bioengineering and Chronobiology Laboratories, Atlantic Research Center for Information and Communication Technologies, University of Vigo, Vigo, Spain
| | - Richard J Castriotta
- Division of Pulmonary, Critical Care and Sleep Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Kenneth R Diller
- Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA
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65
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Vellei M, Chinazzo G, Zitting KM, Hubbard J. Human thermal perception and time of day: A review. Temperature (Austin) 2021; 8:320-341. [PMID: 34901316 PMCID: PMC8654484 DOI: 10.1080/23328940.2021.1976004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 11/01/2022] Open
Abstract
The circadian clock regulates diurnal variations in autonomic thermoregulatory processes such as core body temperature in humans. Thus, we might expect that similar daily fluctuations also characterize human thermal perception, the ultimate role of which is to drive thermoregulatory behaviors. In this paper, we explore this question by reviewing experimental and observational thermal comfort investigations which include the "time of day" variable. We found only 21 studies considering this factor, and not always as their primary analysis. Due to the paucity of studies and the lack of a specific focus on time-of-day effects, the results are difficult to compare and appear on the whole contradictory. However, we observe a tendency for individuals to prefer higher ambient temperatures in the early evening as compared to the rest of the day, a result in line with the physiological decrease of the core body temperature over the evening. By drawing from literature on the physiology of thermoregulation and circadian rhythms, we outline some potential explanations for the inconsistencies observed in the findings, including a potential major bias due to the intensity and spectrum of the selected light conditions, and provide recommendations for conducting future target studies in highly-controlled laboratory conditions. Such studies are strongly encouraged as confirmed variations of human thermal perceptions over the day would have enormous impact on building operations, thus on energy consumption and occupant comfort. List of abbreviations: TSV: Thermal Sensation Vote; TCV: Thermal Comfort Vote; Tpref: Preferred Temperature; TA: Indoor Air Temperature; RH: Indoor Relative Humidity; Tskin: Skin Temperature; Tty: Tympanic Temperature; Tre: Rectal Temperature; Toral: Oral Temperature.
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Affiliation(s)
- Marika Vellei
- Laboratory of Engineering Sciences for the Environment (LaSIE) (Umr Cnrs 7356), La Rochelle University, La Rochelle, France
| | - Giorgia Chinazzo
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, USA
| | - Kirsi-Marja Zitting
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Ma, USA
| | - Jeffrey Hubbard
- Laboratory of Integrated Performance in Design (Lipid), School of Architecture, Civil and Environmental Engineering (Enac), École Polytechnique Fédérale De Lausanne (Epfl), Lausanne, Switzerland
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66
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Blankenship JM, Rosenberg RC, Rynders CA, Melanson EL, Catenacci VA, Creasy SA. Examining the Role of Exercise Timing in Weight Management: A Review. Int J Sports Med 2021; 42:967-978. [PMID: 34034354 PMCID: PMC8591839 DOI: 10.1055/a-1485-1293] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Many adults cite exercise as a primary strategy for losing weight, yet exercise alone is modestly effective for weight loss and results in variable weight loss responses. It is possible that some of the variability in weight loss may be explained by the time of day that exercise is performed. Few studies have directly compared the effects of exercise performed at different times of the day (i. e., morning versus evening exercise). Results from these existing studies are mixed with some studies demonstrating superior weight and fat mass loss from morning exercise, while other studies have found that evening exercise may be better for weight management. Exercise timing may alter modifiable lifestyle behaviors involved in weight management, such as non-exercise physical activity, energy intake, and sleep. The purpose of this review is to summarize evidence for and against time-of-day dependent effects of exercise on weight management. Although limited, we also review studies that have examined the effect of exercise timing on other lifestyle behaviors linked to body weight regulation. While exercise at any time of day is beneficial for health, understanding whether there is an optimal time of day to exercise may advance personalized treatment paradigms for weight management.
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Affiliation(s)
- Jennifer M. Blankenship
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | - Corey A. Rynders
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Geriatrics, VA Eastern Colorado Health Care System, Aurora, CO
| | - Victoria A. Catenacci
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Seth A. Creasy
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
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67
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Energy Balance and Control of Body Weight: Possible Effects of Meal Timing and Circadian Rhythm Dysregulation. Nutrients 2021; 13:nu13093276. [PMID: 34579152 PMCID: PMC8470941 DOI: 10.3390/nu13093276] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/07/2021] [Accepted: 09/16/2021] [Indexed: 12/12/2022] Open
Abstract
Conservation of the energy equilibrium can be considered a dynamic process and variations of one component (energy intake or energy expenditure) cause biological and/or behavioral compensatory changes in the other part of the system. The interplay between energy demand and caloric intake appears designed to guarantee an adequate food supply in variable life contexts. The circadian rhythm plays a major role in systemic homeostasis by acting as “timekeeper” of the human body, under the control of central and peripheral clocks that regulate many physiological functions such as sleep, hunger and body temperature. Clock-associated biological processes anticipate the daily demands imposed by the environment, being synchronized under ideal physiologic conditions. Factors that interfere with the expected demand, including daily distribution of macronutrients, physical activity and light exposure, may disrupt the physiologic harmony between predicted and actual behavior. Such a desynchronization may favor the development of a wide range of disease-related processes, including obesity and its comorbidities. Evidence has been provided that the main components of 24-h EE may be affected by disruption of the circadian rhythm. The sleep pattern, meal timing and meal composition could mediate these effects. An increased understanding of the crosstalk between disruption of the circadian rhythm and energy balance may shed light on the pathophysiologic mechanisms underlying weight gain, which may eventually lead to design effective strategies to fight the obesity pandemic.
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68
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Diurnal variations of cold-induced thermogenesis in young, healthy adults: A randomized crossover trial. Clin Nutr 2021; 40:5311-5321. [PMID: 34536639 DOI: 10.1016/j.clnu.2021.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/04/2021] [Accepted: 08/16/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Harnessing cold-induced thermogenesis (CIT) and brown adipose tissue (BAT) activity has been proposed as a means of counteracting a positive energy balance, and thus of combating obesity and its related comorbidities. However, it has remained unclear whether CIT and BAT activity show diurnal variation in humans - knowledge that might allow treatments based on these factors to be time-optimized. METHODS A randomized crossover experiment was designed to examine whether CIT shows morning/evening variation in young, healthy adults (n = 14, 5 women). On the first experimental day, subjects' shivering thresholds were determined following a cooling protocol. After ≈96 h had elapsed, the subjects then returned on two further days (approx. 48 h apart) at 08:00 h or 18:00 in random order. On both the latter days, the resting energy expenditure (REE) was measured before the subjects underwent personalized cold exposure (i.e., according to their shivering threshold). CIT was then assessed for 60 min by indirect calorimetry. In an independent cross-sectional study (n = 133, 88 women), subjects came to the laboratory between 8:00 and 18:00 h and their BAT 18F-fluordeoxyglucose (18F-FDG) uptake was assessed after personalized cold stimulation. RESULTS Both the REE and CIT were similar in the morning and evening (all P > 0.05). Indeed, 60 min of personalized-mild cold exposure in the morning or evening elicited a similar change in energy expenditure (16.8 ± 12.8 vs. 15.7 ± 15.1% increase above REE, P = 0.72). BAT 18F-FDG uptake was also similar in the morning, evening and afternoon (all P > 0.05). CONCLUSION CIT does not appear to show morning/evening variation in young healthy adults, with the current study design and methodology. BAT 18F-FDG uptake appears not to change across the day either, although experiments with a within-subject study design are needed to confirm these findings. Registered under ClinicalTrials.gov Identifier no. NCT02365129.
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Abstract
AbstractThe received wisdom on how activity affects energy expenditure is that the more activity is undertaken, the more calories will have been burned by the end of the day. Yet traditional hunter-gatherers, who lead physically hard lives, burn no more calories each day than Western populations living in labor-saving environments. Indeed, there is now a wealth of data, both for humans and other animals, demonstrating that long-term lifestyle changes involving increases in exercise or other physical activities do not result in commensurate increases in daily energy expenditure (DEE). This is because humans and other animals exhibit a degree of energy compensation at the organismal level, ameliorating some of the increases in DEE that would occur from the increased activity by decreasing the energy expended on other biological processes. And energy compensation can be sizable, reaching many hundreds of calories in humans. But the processes that are downregulated in the long-term to achieve energy compensation are far from clear, particularly in humans-we do not know how energy compensation is achieved. My review here of the literature on relevant exercise intervention studies, for both humans and other species, indicates conflict regarding the role, if any, of basal metabolic rate (BMR) or low-level activity such as fidgeting play, particularly once changes in body composition are factored out. In situations where BMR and low-level activity are not major components of energy compensation, what then drives it? I discuss how changes in mitochondrial efficiency and changes in circadian fluctuations in BMR may contribute to our understanding of energy management. Currently unexplored, these mechanisms and others may provide important insights into the mystery of how energy compensation is achieved.
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Gudden J, Arias Vasquez A, Bloemendaal M. The Effects of Intermittent Fasting on Brain and Cognitive Function. Nutrients 2021; 13:nu13093166. [PMID: 34579042 PMCID: PMC8470960 DOI: 10.3390/nu13093166] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/06/2021] [Accepted: 09/08/2021] [Indexed: 12/20/2022] Open
Abstract
The importance of diet and the gut-brain axis for brain health and cognitive function is increasingly acknowledged. Dietary interventions are tested for their potential to prevent and/or treat brain disorders. Intermittent fasting (IF), the abstinence or strong limitation of calories for 12 to 48 h, alternated with periods of regular food intake, has shown promising results on neurobiological health in animal models. In this review article, we discuss the potential benefits of IF on cognitive function and the possible effects on the prevention and progress of brain-related disorders in animals and humans. We do so by summarizing the effects of IF which through metabolic, cellular, and circadian mechanisms lead to anatomical and functional changes in the brain. Our review shows that there is no clear evidence of a positive short-term effect of IF on cognition in healthy subjects. Clinical studies show benefits of IF for epilepsy, Alzheimer’s disease, and multiple sclerosis on disease symptoms and progress. Findings from animal studies show mechanisms by which Parkinson’s disease, ischemic stroke, autism spectrum disorder, and mood and anxiety disorders could benefit from IF. Future research should disentangle whether positive effects of IF hold true regardless of age or the presence of obesity. Moreover, variations in fasting patterns, total caloric intake, and intake of specific nutrients may be relevant components of IF success. Longitudinal studies and randomized clinical trials (RCTs) will provide a window into the long-term effects of IF on the development and progress of brain-related diseases.
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Affiliation(s)
- Jip Gudden
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (J.G.); (A.A.V.)
| | - Alejandro Arias Vasquez
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (J.G.); (A.A.V.)
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Mirjam Bloemendaal
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (J.G.); (A.A.V.)
- Correspondence:
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Abstract
Known as metabolic flexibility, oxidized substrate is selected in response to changes in the nutritional state. Sleep imposes an extended duration of fasting, and oxidized substrates during sleep were assumed to progressively shift from carbohydrate to fat, thereby gradually decreasing the respiratory quotient (RQ). Contrary to this assumption, whole-room indirect calorimetry with improved time resolution revealed that RQ re-ascended prior to awakening, and nadir of RQ in non-obese young adults occurred earlier in women than men after bedtime. The transient decrease in RQ during sleep was blunted in metabolically inflexible men with smaller amplitude of diurnal rhythm in RQ. Similarly, the effect of 10 years difference in age on RQ became significant during sleep; the decrease in RQ during sleep was blunted in older subjects. Inter-individual difference in RQ become apparent during sleep, and it might serve as a window to gain insight into the early-stage pathogenesis of metabolic inflexibility.
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72
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Reproducibility and associations with obesity and insulin resistance of circadian-rhythm parameters in free-living vs. controlled conditions during the PREVIEW lifestyle study. Int J Obes (Lond) 2021; 45:2038-2047. [PMID: 34099842 DOI: 10.1038/s41366-021-00873-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 05/06/2021] [Accepted: 05/27/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Circadian rhythm is altered in individuals with obesity and insulin resistance, showing a smaller amplitude, less stability, and increased intradaily variation. OBJECTIVE We compared reproducibility of circadian-rhythm parameters over time and under free-living vs. controlled conditions in participants with obesity and pre-diabetes after 2- and 3-year weight-loss maintenance during the 3-year PREVIEW (PREVention of diabetes through lifestyle intervention and population studies In Europe and around the World) study. Associations of obesity and insulin resistance with circadian-rhythm parameters were assessed. SUBJECTS AND METHODS Circadian-rhythm parameters were determined using continuous wrist-temperature measurements in free-living environments at year 2 (n = 24; age 56.8 ± 10.3 y; body mass index (BMI) = 30 ± 3.9 kg/m2; homeostatic model assessment of insulin resistance (HOMA-IR) 2.4 ± 1.1), at year 3 (n = 97; age 61.7 ± 7.8; BMI = 29.7 ± 3.9; HOMA-IR 2.9 ± 2.1), and at year 3 in a controlled condition (n = 38; age 63.4 ± 6.7; BMI = 28.7 ± 3.9; HOMA-IR 3.8 ± 1.4). Reproducibility was assessed by analyzing repeatability coefficients (CR), differences, and associations, over time as well as between conditions. Associations of BMI and HOMA-IR with circadian-rhythm parameters were assessed at y-3 in both conditions using factor analysis, followed by Pearson's correlations. RESULTS Reproducibility of circadian-rhythm parameters over time in the free-living environments was high (CR 0.002-5.26; no significant differences; associated amplitudes r = 0.57; p < 0.01). In contrast, reproducibility between different conditions was low (CR 0.02-11.36; significant differences between most parameters (p < 0.05); yet associated amplitudes r = 0.59; p < 0.01). In the controlled vs. free-living condition circadian-rhythm was more stable; BMI and HOMA-IR were associated with the physiological amplitude-related parameters (r = -0.45; p < 0.01; r = -0.33; p < 0.05). In the free-living environment, BMI and behavioral circadian-rhythm parameters indicating circadian alignment, contributed most to the explained variation (47.1%), and were inversely associated (r = -0.22; p < 0.05), while HOMA-IR was inversely associated with stability-related circadian-rhythm parameters (r = -0.21; p < 0.05). CONCLUSIONS Circadian rhythm was highly reproducible over time in the free-living environments, yet different under different conditions, being more stable in the controlled condition. BMI may play a significant role in circadian alignment and vice versa in the free-living environment.
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Veronda AC, Kline CE, Irish LA. The impact of circadian timing on energy balance: an extension of the energy balance model. Health Psychol Rev 2021; 16:161-203. [PMID: 34387140 DOI: 10.1080/17437199.2021.1968310] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
A significant proportion of the population is classified as having overweight or obesity. One framework which has attempted to explain biobehavioral mechanisms influencing the development of overweight and obesity is the energy balance model. According to this model, the body continually attempts to balance energy intake with energy expenditure. When energy intake and energy expenditure become imbalanced, there is an increase in homeostatic and allostatic pressure, generally to either increase energy intake or decrease energy expenditure, so as to restore energy homeostasis.Recent research has indicated that circadian aspects of energy intake and energy expenditure may influence energy balance. This paper provides a narrative review of existing evidence of the role of circadian timing on components of energy balance. Research on the timing of food intake, physical activity, and sleep indicates that unhealthy timing is likely to increase risk of weight gain. Public health guidelines focus on how much individuals eat and sleep, what foods are consumed, and the type and frequency of exercise, but the field of circadian science has begun to demonstrate that when these behaviors occur may also influence overweight and obesity prevention and treatment efforts.
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Affiliation(s)
- Allison C Veronda
- Department of Psychology, North Dakota State University, Fargo, ND, USA
| | - Christopher E Kline
- Department of Health and Human Development, University of Pittsburgh, Pittsburgh, PA, USA
| | - Leah A Irish
- Department of Psychology, North Dakota State University, Fargo, ND, USA.,Sanford Center for Biobehavioral Research, Sanford Research, Fargo, ND, USA
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Daytime variation does not impact outcome of cardiac surgery: Results from a diverse, multi-institutional cardiac surgery network. J Thorac Cardiovasc Surg 2021; 162:56-67.e44. [DOI: 10.1016/j.jtcvs.2019.11.131] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 11/25/2019] [Accepted: 11/26/2019] [Indexed: 12/13/2022]
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Culnan E, Reid KJ, Zee PC, Crowley SJ, Baron KG. Meal timing relative to DLMO: Associations with BMI and body fat. Sleep Health 2021; 7:339-344. [PMID: 33610479 PMCID: PMC8205939 DOI: 10.1016/j.sleh.2021.01.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 12/24/2020] [Accepted: 01/05/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Timing of eating relative to the dim light melatonin onset (DLMO) may serve as a modifiable risk factor for adverse cardiometabolic outcomes. The primary aim of this study was to examine whether the timing of eating relative to DLMO is associated with body mass index (BMI), body fat, and diet in healthy adults without the confound of sleep deprivation. METHODS Healthy men and women (N = 97), ages 18-50, with a habitual sleep duration of ≥6.5 hours and ≤8.5 hours completed 7 days of actigraphy and daily sleep and food diaries. Participants underwent a dual-energy X-ray absorptiometry scan and blood draws to assess DLMO in the clinical research unit. RESULTS A shorter duration between DLMO and the average clock time of the last meal (last meal-DLMO) was related to a higher number of meals consumed, b = 0.25, SEb = 0.06, P< .001, longer feeding duration, b = 0.84, SEb = 0.06, P< .001, greater carbohydrate intake, b = 9.08, SEb = 3.55, P= .01, and greater sugar intake, b = 4.73, SEb = 1.83, P= .01. Last meal-DLMO was not associated with BMI in the full sample; however, among those with later DLMO (after 10:30 PM) last meal-DLMO was related to higher BMI, b = 0.92, SEb = 0.36, P= .02. CONCLUSION These results suggest that timing of last meal relative to DLMO may serve as a marker of circadian misalignment and that eating the last meal closer to DLMO may negatively impact dietary habits.
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Affiliation(s)
- Elizabeth Culnan
- Department of Psychiatry and Behavioral Sciences, Sleep Disorders Service and Research Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Kathryn J Reid
- Department of Neurology, Center for Circadian and Sleep Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Phyllis C Zee
- Department of Neurology, Center for Circadian and Sleep Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Stephanie J Crowley
- Department of Psychiatry and Behavioral Sciences, Biological Rhythms Research Laboratory, Rush University Medical Center, Chicago, Illinois, USA
| | - Kelly G Baron
- Department of Family and Preventative Medicine, University of Utah, Salt Lake City, Utah, USA.
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Diurnal variation in gene expression of human peripheral blood mononuclear cells after eating a standard meal compared with a high protein meal: A cross-over study. Clin Nutr 2021; 40:4349-4359. [DOI: 10.1016/j.clnu.2021.01.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 01/03/2021] [Accepted: 01/07/2021] [Indexed: 01/27/2023]
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Pre-Sleep Casein Supplementation, Metabolism, and Appetite: A Systematic Review. Nutrients 2021; 13:nu13061872. [PMID: 34070862 PMCID: PMC8229753 DOI: 10.3390/nu13061872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 05/19/2021] [Accepted: 05/27/2021] [Indexed: 01/04/2023] Open
Abstract
Protein intake is an important factor for augmenting the response to resistance training in healthy individuals. Although food intake can help with anabolism during the day, the period of time during sleep is typically characterized by catabolism and other metabolic shifts. Research on the application of nighttime casein protein supplementation has introduced a new research paradigm related to protein timing. Pre-sleep casein supplementation has been attributed to improved adaptive response by skeletal muscle to resistance training through increases in muscle protein synthesis, muscle mass, and strength. However, it remains unclear what the effect of this nutritional strategy is on non-muscular parameters such as metabolism and appetite in both healthy and unhealthy populations. The purpose of this systematic review is to understand the effects of pre-sleep casein protein on energy expenditure, lipolysis, appetite, and food intake in both healthy and overweight or obese individuals. A systematic review following PRISMA guidelines was conducted in CINAHL, Cochrane, and SPORTDiscus during March 2021, and 11 studies met the inclusion criteria. A summary of the main findings shows limited to no effects on metabolism or appetite when ingesting 24-48 g of casein 30 min before sleep, but data are limited, and future research is needed to clarify the relationships observed.
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Pavlova MK, Ng M, Allen RM, Boly M, Kothare S, Zaveri H, Zee PC, Adler G, Buchanan GF, Quigg MS, on behalf of the Sleep and Epilepsy Workgroup. Proceedings of the Sleep and Epilepsy Workgroup: Section 2 Comorbidities: Sleep Related Comorbidities of Epilepsy. Epilepsy Curr 2021; 21:15357597211004549. [PMID: 33843327 PMCID: PMC8609600 DOI: 10.1177/15357597211004549] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Epilepsy is a chronic disease with multiple, complex comorbidities. Bidirectional relationships exist among seizures, sleep, circadian rhythms, and diseases within and outside of the central nervous system. Seizures fragment sleep and can contribute to development of sleep disorders, which in turn leads to worse overall health and more seizures. Moreover, treatment options are often limited by interactions with anti-seizure medications. Advances in the fields of epilepsy and in sleep medicine have been made separately, and therefore treating patients with these comorbidities necessitates interdisciplinary approach. The focus of this section of the Sleep and Epilepsy Workgroup was to identify methods of collaboration and outline investigational, educational, and treatment priorities to mutually advance what we consider a combined field.
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Affiliation(s)
- Milena K. Pavlova
- Department of Neurology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Marcus Ng
- Department of Internal Medicine, University of Manitoba, Winnipeg, Canada
- Department of Biomedical Engineering, University of Manitoba, Winnipeg, Canada
| | | | - Melanie Boly
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Sanjeev Kothare
- Northwell Health and Donald, Barbara Zucker School of Medicine, Hofstra/Northwell, NY, USA
| | - Hiten Zaveri
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Phyllis C. Zee
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Gail Adler
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Gordon F. Buchanan
- Department of Neurology, Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, IA, USA
| | - Mark S. Quigg
- Department of Neurology, University of Virginia School of Medicine, Charlottesville, VA, USA
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Grant LK, Czeisler CA, Lockley SW, Rahman SA. Time-of-day and Meal Size Effects on Clinical Lipid Markers. J Clin Endocrinol Metab 2021; 106:e1373-e1379. [PMID: 33051649 PMCID: PMC8502473 DOI: 10.1210/clinem/dgaa739] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 10/08/2020] [Indexed: 02/06/2023]
Abstract
CONTEXT Dyslipidemia and cardiovascular disease are common in shift workers and eating at night may contribute to this pathophysiology. OBJECTIVE To examine the effects of eating at different times of day on lipid profiles. DESIGN Two 24-hour baseline days with 8 hours of sleep, 3 meals (breakfast, lunch, dinner) and a snack, followed by a 40-hour constant routine (CR) with hourly isocaloric meals. SETTING Intensive Physiological Monitoring Unit, Brigham and Women's Hospital. PARTICIPANTS Twenty-one healthy adults [23.4 ± 2.7 years, 5F]. INTERVENTION Forty-hour CR. MAIN OUTCOME MEASURES A standard clinical lipid panel, consisting of total cholesterol, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), was assayed in blood samples collected 4-hourly across ~4 days. RESULTS When participants ate at night, levels of TG were similar to eating during the day, however, these levels at night were reached with consuming approximately half the calories. Additionally, 24-hour levels of TG were 10% higher when meals were consumed hourly across 24 hours compared to consuming a typical 3-meal schedule while awake during the day and sleeping at night. The endogenous circadian rhythms of TG, which peaked at night, were shifted earlier by ~10 hours under baseline conditions, whereas the rhythms in total cholesterol, HDL-C, and LDL-C remained unchanged and peaked in the afternoon. CONCLUSIONS The time-of-day dependency on postprandial lipid metabolism, which leads to hypersensitivity in TG responses when eating at night, may underlie the dyslipidemia and elevated cardiovascular disease risk observed in shift workers.
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Affiliation(s)
- Leilah K Grant
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Steven W Lockley
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Shadab A Rahman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Correspondence and Reprint Requests: Shadab A. Rahman, Ph.D., M.P.H., Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, 221 Longwood Avenue, Boston, MA 02115. E-mail:
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80
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Finger A, Kramer A. Mammalian circadian systems: Organization and modern life challenges. Acta Physiol (Oxf) 2021; 231:e13548. [PMID: 32846050 DOI: 10.1111/apha.13548] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 08/04/2020] [Accepted: 08/11/2020] [Indexed: 12/11/2022]
Abstract
Humans and other mammalian species possess an endogenous circadian clock system that has evolved in adaptation to periodically reoccurring environmental changes and drives rhythmic biological functions, as well as behavioural outputs with an approximately 24-hour period. In mammals, body clocks are hierarchically organized, encompassing a so-called pacemaker clock in the hypothalamic suprachiasmatic nucleus (SCN), non-SCN brain and peripheral clocks, as well as cell-autonomous oscillators within virtually every cell type. A functional clock machinery on the molecular level, alignment among body clocks, as well as synchronization between endogenous circadian and exogenous environmental cycles has been shown to be crucial for our health and well-being. Yet, modern life constantly poses widespread challenges to our internal clocks, for example artificial lighting, shift work and trans-meridian travel, potentially leading to circadian disruption or misalignment and the emergence of associated diseases. For instance many of us experience a mismatch between sleep timing on work and free days (social jetlag) in our everyday lives without being aware of health consequences that may arise from such chronic circadian misalignment, Hence, this review provides an overview of the organization and molecular built-up of the mammalian circadian system, its interactions with the outside world, as well as pathologies arising from circadian disruption and misalignment.
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Affiliation(s)
- Anna‐Marie Finger
- Laboratory of Chronobiology Institute for Medical immunology Charité Universitätsmedizin Berlin Berlin Germany
- Berlin Institute of Health (BIH) Berlin Germany
| | - Achim Kramer
- Laboratory of Chronobiology Institute for Medical immunology Charité Universitätsmedizin Berlin Berlin Germany
- Berlin Institute of Health (BIH) Berlin Germany
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Zitting KM, Lammers-van der Holst HM, Yuan RK, Wang W, Quan SF, Duffy JF. Google Trends reveals increases in internet searches for insomnia during the 2019 coronavirus disease (COVID-19) global pandemic. J Clin Sleep Med 2021; 17:177-184. [PMID: 32975191 DOI: 10.5664/jcsm.8810] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
STUDY OBJECTIVES The 2019 coronavirus disease (COVID-19) has become a global health and economic crisis. Recent evidence from small samples suggest that it has increased mood and sleep disturbances, including insomnia, around the world. This study aimed to estimate the effect of COVID-19 on insomnia levels worldwide and in the United States during the acute phase of the pandemic. METHODS We analyzed search query data recorded between January 2004 and May 2020 from Google Trends and Google Keyword Planner for the search term "insomnia". RESULTS The number of search queries for insomnia has increased over the past decade and is greater than the number of search queries for other major sleep disorders. The COVID-19 pandemic increased search queries for insomnia both worldwide and in the United States, with the number in the United States increasing by 58% during the first 5 months of 2020 compared with the same months from the previous 3 years. There is a robust diurnal pattern in insomnia search queries in the United States, with the number of queries peaking around 3 am and the overall pattern remaining stable during the pandemic. CONCLUSIONS These results highlight the impact the COVID-19 pandemic has had on sleep health and the urgent need for making effective interventions accessible. Future studies will be needed to determine whether the increase in insomnia symptoms will persist and lead to higher rates of chronic insomnia in the population.
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Affiliation(s)
- Kirsi-Marja Zitting
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Heidi M Lammers-van der Holst
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Robin K Yuan
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Wei Wang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Stuart F Quan
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jeanne F Duffy
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
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Koshiba M, Watarai-Senoo A, Karino G, Ozawa S, Kamei Y, Honda Y, Tanaka I, Kodama T, Usui S, Tokuno H. A Susceptible Period of Photic Day-Night Rhythm Loss in Common Marmoset Social Behavior Development. Front Behav Neurosci 2021; 14:539411. [PMID: 33603653 PMCID: PMC7884770 DOI: 10.3389/fnbeh.2020.539411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 10/26/2020] [Indexed: 11/30/2022] Open
Abstract
The prevalence of neurodevelopmental psychiatric disorders such as pervasive developmental disorders is rapidly increasing worldwide. Although these developmental disorders are known to be influenced by an individual’s genetic background, the potential biological responses to early life’s environmental exposure to both physical and psychological factors must also be considered. Many studies have acknowledged the influence of shorter time for rest at night and the simultaneous occurrence of various kinds of complications involving developmental disorders. In a prior study, we examined how a common marmoset’s (Callithrix jacchus) psychosocial development was affected when it was reared under constant daylight from birth and then reared individually by humans nursing them under constant light (LL) during their juvenile development stages. The behaviors of these marmosets were compared with those of normal day-night cycle (LD) marmosets using a multivariate analysis based on principal component analysis (PCA). That study found that LL marmosets relatively elicited egg-like calls (Ecall) and side-to-side shakes of the upper body with rapid head rotation through adulthood frequently. Based on the PCA, these behaviors were interpreted as “alert” or “hyperactive” states. However, we did not clarify susceptible periods of the photic rhythm loss experience and the psychological development output. In this study we summarize the following studies in our model animal colonies involving 30 animals (11 female, 19 males) to further explore critical age states of inquiry about each social behavior profiling. We compared social behaviors of three age stages, juvenile, adolescent and young adult equivalent to one another in four LL experience conditions, LL (postnatal day (P) 0 to around 150), Middle (P60–149, 90 days), Late (P150–239, 90 days), and LD (no experience). In the most representative 1st and 2nd principal component scores, the shifting to higher frequency of alert behaviors developed at the adult stage in LL, Middle, then Late in turn. The no LL experience group, LD, generally featured higher frequency of local preference of high position compared to LL experience present groups, in adulthood. This limited model primate study might inspire different developmental age sensitive mechanisms of neuronal network to control socio-emotional functions by utilizing the multivariate visualization method, BOUQUET. This study could potentially contribute to nurturing educational designs for social developmental disorders.
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Affiliation(s)
- Mamiko Koshiba
- Engineering Department, Yamaguchi University, Ube City, Japan.,Pediatrics, Saitama Medical University, Saitama, Japan.,Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | | | - Genta Karino
- Pediatrics, Saitama Medical University, Saitama, Japan
| | - Shimpei Ozawa
- Pediatrics, Saitama Medical University, Saitama, Japan
| | - Yoshimasa Kamei
- Obstetrics and Gynecology, Saitama Medical University, Saitama, Japan
| | - Yoshiko Honda
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Japan
| | - Ikuko Tanaka
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Japan
| | - Tohru Kodama
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Japan
| | - Setsuo Usui
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Japan
| | - Hironobu Tokuno
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Japan
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83
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Abstract
PURPOSE OF REVIEW The aim of this review is to present the latest findings on the role of the circadian clock in the control of metabolism, and the therapeutic potential of chronotherapy to regulate energy homeostasis in humans. RECENT FINDINGS We summarized the recent advances related to circadian clock regulation of food intake and energy expenditure. In peripheral organs, mitochondrial oxidative capacity and lipolysis show circadian pattern in humans, and rhythms disruption may be involved in the pathogenesis of metabolic diseases. Indeed, circadian desynchrony affects food intake, insulin sensitivity, and increases the risk of developing metabolic disease. Time-targeted strategies, which aim to synchronize external cues with the molecular clock to improve metabolic outcomes, have positive effects on metabolism in humans, with several studies showing that time-targeted feeding improves body weight loss and glucose tolerance. SUMMARY The interest in time-targeted strategies to prevent or manage metabolic disturbances has grown this past year with encouraging health benefits. To maximize the therapeutic effect of these strategies, further research is warranted to delineate the molecular regulation of metabolic processes controlled by the clock and especially its modulation in contexts such as aging, sex differences, or metabolic diseases.
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Affiliation(s)
| | - Logan A Pendergrast
- Department of Molecular Medicine and Surgery, Section for Integrative Physiology, Karolinska Institutet, Stockholm, Sweden
| | - Juleen R Zierath
- Department of Physiology and Pharmacology
- Department of Molecular Medicine and Surgery, Section for Integrative Physiology, Karolinska Institutet, Stockholm, Sweden
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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84
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Chase KL, Patek KT, Walker JL, Mettler JA. Predicting Resting Metabolic Rate with Easily Obtained Measures: The Influence of Body Circumference. TRANSLATIONAL JOURNAL OF THE AMERICAN COLLEGE OF SPORTS MEDICINE 2021. [DOI: 10.1249/tjx.0000000000000162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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85
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Erickson ML, Esser KA, Kraus WE, Buford TW, Redman LM. A Role for Exercise to Counter Skeletal Muscle Clock Disruption. Exerc Sport Sci Rev 2021; 49:35-41. [PMID: 33044328 PMCID: PMC7773215 DOI: 10.1249/jes.0000000000000235] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Disruption of the skeletal muscle circadian clock leads to a preferential shift toward lipid oxidation while reducing carbohydrate oxidation. These effects are apparent at the whole-body level, including glucose intolerance, increased energy expenditure, and fasting hyperglycemia. We hypothesize that exercise counters these metabolic disturbances by modifying the skeletal muscle clock and reverting substrate metabolism back toward an optimal substrate balance.
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Affiliation(s)
| | - Karyn A. Esser
- Department of Physiology and Functional Genomics, University of Florida
| | | | - Thomas W. Buford
- Department of Medicine, University of Alabama at Birmingham
- Center for Exercise Medicine, University of Alabama at Birmingham
| | - Leanne M. Redman
- Pennington Biomedical Research Center, Louisiana State University
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86
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Oosterman JE, Wopereis S, Kalsbeek A. The Circadian Clock, Shift Work, and Tissue-Specific Insulin Resistance. Endocrinology 2020; 161:5916887. [PMID: 33142318 DOI: 10.1210/endocr/bqaa180] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 09/25/2020] [Indexed: 01/02/2023]
Abstract
Obesity and type 2 diabetes (T2D) have become a global health concern. The prevalence of obesity and T2D is significantly higher in shift workers compared to people working regular hours. An accepted hypothesis is that the increased risk for metabolic health problems arises from aberrantly timed eating behavior, that is, eating out of synchrony with the biological clock. The biological clock is part of the internal circadian timing system, which controls not only the sleep/wake and feeding/fasting cycle, but also many metabolic processes in the body, including the timing of our eating behavior, and processes involved in glucose homeostasis. Rodent studies have shown that eating out of phase with the endogenous clock results in desynchronization between rhythms of the central and peripheral clock systems and between rhythms of different tissue clocks (eg, liver and muscle clock). Glucose homeostasis is a complex process that involves multiple organs. In the healthiest situation, functional rhythms of these organs are synchronized. We hypothesize that desynchronization between different metabolically active organs contributes to alterations in glucose homeostasis. Here we summarize the most recent information on desynchronization between organs due to shift work and shifted food intake patterns and introduce the concept of phenotypic flexibility, a validated test to assess the contribution of each organ to insulin resistance (IR) in humans. We propose this test as a way to provide further insight into the possible desynchronization between tissue clocks. Because different types of IR benefit from different therapeutic approaches, we also describe different chronotherapeutic strategies to promote synchrony within and between metabolically active organs.
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Affiliation(s)
- Johanneke E Oosterman
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), HE Zeist, the Netherlands
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, AZ Amsterdam, the Netherlands
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), HE Zeist, the Netherlands
| | - Andries Kalsbeek
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, AZ Amsterdam, the Netherlands
- Hypothalamic Integration Mechanisms, Netherlands Institute for Neuroscience (NIN), An Institute of the Royal Netherlands Academy of Arts and Sciences (KNAW), BA Amsterdam, the Netherlands
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87
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The importance of 24-h metabolism in obesity-related metabolic disorders: opportunities for timed interventions. Int J Obes (Lond) 2020; 45:479-490. [PMID: 33235354 DOI: 10.1038/s41366-020-00719-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/18/2020] [Accepted: 11/03/2020] [Indexed: 11/08/2022]
Abstract
Various metabolic processes in the body oscillate throughout the natural day, driven by a biological clock. Circadian rhythms are also influenced by time cues from the environment (light exposure) and behaviour (eating and exercise). Recent evidence from diurnal- and circadian-rhythm studies indicates rhythmicity in various circulating metabolites, insulin secretion and -sensitivity and energy expenditure in metabolically healthy adults. These rhythms have been shown to be disturbed in adults with obesity-related metabolic disturbances. Moreover, eating and being (in)active at a time that the body is not prepared for it, as in night-shift work, is related to poor metabolic outcomes. These findings indicate the relevance of 24-h metabolism in obesity-related metabolic alterations and have also led to novel strategies, such as timing of food intake and exercise, to reinforce the circadian rhythm and thereby improving metabolic health. This review aims to deepen the understanding of the influence of the circadian system on metabolic processes and obesity-related metabolic disturbances and to discuss novel time-based strategies that may be helpful in combating metabolic disease.
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88
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Wilson SJ, Peng J, Andridge R, Jaremka LM, Fagundes CP, Malarkey WB, Belury MA, Kiecolt-Glaser JK. For better and worse? The roles of closeness, marital behavior, and age in spouses' cardiometabolic similarity. Psychoneuroendocrinology 2020; 120:104777. [PMID: 32623020 PMCID: PMC7849824 DOI: 10.1016/j.psyneuen.2020.104777] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 06/12/2020] [Accepted: 06/15/2020] [Indexed: 11/30/2022]
Abstract
Spouses share common risks for cardiometabolic diseases: a person's diabetes or hypertension raises the partner's odds of developing the same condition. The mechanisms responsible for this disease concordance remain poorly understood. To examine three factors that may modulate partners' cardiometabolic similarity-closeness, hostile marital behavior, and age-and to explore whether health behavior concordance plays a role, on two separate occasions 43 healthy couples ages 24-61 provided fasting glucose, metabolic data (fat and carbohydrate oxidation), and resting blood pressure before discussing one of their most severe marital disagreements. Accounting for the fixed effects of sex, age, study visit, and abdominal fat on cardiometabolic levels, we found that aspects of health behavior concordance were associated with greater similarity in glucose, diastolic blood pressure (DBP), and carbohydrate and fat metabolism. Independent of health behavior concordance, partners who felt closer and behaved in a less hostile way had more similar rates of fat oxidation; less hostile partners also shared greater overlap in carbohydrate oxidation. Likewise, fasting glucose and DBP were more similar within older couples compared to younger pairs, beyond the effects of health behavior concordance. In sum, our data captured preclinical similarities in cardiometabolic health among disease-free couples, which may form the basis for their long-term overlapping disease risks. Closer, less hostile, and older couples shared more similar fasting glucose, metabolic data, and blood pressure; importantly, health behavior concordance did not explain all associations. These novel data suggest that multiple paths may lead to couples' shared disease risks.
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Affiliation(s)
| | - Juan Peng
- College of Public Health, Division of Biostatistics, The Ohio State University, United States
| | - Rebecca Andridge
- College of Public Health, Division of Biostatistics, The Ohio State University, United States
| | - Lisa M Jaremka
- Department of Psychological and Brain Sciences, University of Delaware, United States
| | | | - William B Malarkey
- Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, United States; Department of Internal Medicine, OSUWMC, United States
| | - Martha A Belury
- Department of Human Sciences, The Ohio State University, United States
| | - Janice K Kiecolt-Glaser
- Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, United States; Department of Psychiatry and Behavioral Health, OSUWMC, United States
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89
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Boege HL, Bhatti MZ, St-Onge MP. Circadian rhythms and meal timing: impact on energy balance and body weight. Curr Opin Biotechnol 2020; 70:1-6. [PMID: 32998085 DOI: 10.1016/j.copbio.2020.08.009] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/17/2020] [Accepted: 08/20/2020] [Indexed: 02/07/2023]
Abstract
Energy metabolism and appetite regulating hormones follow circadian rhythms which, when disrupted, could lead to adverse metabolic consequences. Such circadian misalignment, a mismatch between endogenous circadian rhythms and behavior, is most severely experienced by shift workers, due to nighttime wake, daytime sleep, and eating at night. However, circadian misalignment is not restricted to shift workers; milder shifts in sleep and mealtimes, termed social and eating jetlag, are highly prevalent in the general population. Social and eating jetlag result in later mealtimes, which may promote positive energy balance and weight gain. Earlier meal timing, specific to individual endogenous circadian patterns, could serve to reduce cardiometabolic disease burden and aid in weight loss and interventions should be done to test this.
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Affiliation(s)
- Hedda L Boege
- Sleep Center of Excellence and Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Mehreen Z Bhatti
- Sleep Center of Excellence and Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Marie-Pierre St-Onge
- Sleep Center of Excellence and Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA; Institute of Human Nutrition, Columbia University Irving Medical Center, New York, NY, USA.
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90
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Marot LP, Rosa DE, Lopes TDVC, Moreno CRDC, Crispim CA. Eating Duration throughout a Rotating Shift Schedule: A Case Study. J Am Coll Nutr 2020; 40:624-631. [PMID: 32970537 DOI: 10.1080/07315724.2020.1814899] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE The impact of the rotation between different shifts and free days within a short period of time on the food consumption is poorly addressed in the literature. Our objective was to characterize the eating duration (ED) over 10 d of clockwise rotating and to associate it with the intake of energy and macronutrients. METHODS Thirty male shift-workers from a mining company were evaluated over a complete rotation shift schedule of 10 consecutive days (2 d of morning shifts, 2 d of afternoon shifts, 24 h free-day, 2 d of night shifts, and three free days). ED was defined as the interval between the first meal after awaking and last meal before sleep onset. Sleep/wake periods and food intake were evaluated by actigraphy and 24 h recalls, respectively. Generalized models were used to analyze the variation in ED and its association with nutrient intake over the shift schedule. RESULTS ED periods showed significant variations throughout shift rotation and were associated with energy intake. The highest energy intake (3410 ± 235 kcal) and longest ED (20.7 ± 1.2 h) were found on Day 5, the day between afternoon and night shifts, and a part of Day 6 (night shift), i.e., in the longest period of wakefulness and the shortest sleep duration (4.7 ± 0.3 h) (p < 0.05 for all). The lowest energy intake (1284 ± 125 kcal) and shortest ED (4.96 ± 0.7 h) (p < 0.05) occurred after the last night shift (Day 7). The balance between the percentage of macronutrients did not differ statistically between the ED periods. CONCLUSIONS In general, longer periods of wakefulness showed greater energy intake, demonstrating the tendency of workers to eat around the clock during their shift. Even with the energy intake variation, the balance of macronutrients remained the same over the ED periods. Despite the need of confirmation in future studies, these results suggest that the management of ED period could be considered in the nutritional approach of shift workers.
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Affiliation(s)
| | | | | | - Claudia Roberta de Castro Moreno
- School of Public Health, University of São Paulo, São Paulo, Brazil.,Stress Research Institute, Stockholm University, Stockholm, Sweden
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91
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Chen KY, Smith S, Ravussin E, Krakoff J, Plasqui G, Tanaka S, Murgatroyd P, Brychta R, Bock C, Carnero E, Schoffelen P, Hatamoto Y, Rynders C, Melanson EL. Room Indirect Calorimetry Operating and Reporting Standards (RICORS 1.0): A Guide to Conducting and Reporting Human Whole-Room Calorimeter Studies. Obesity (Silver Spring) 2020; 28:1613-1625. [PMID: 32841524 PMCID: PMC7526647 DOI: 10.1002/oby.22928] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/27/2020] [Accepted: 05/28/2020] [Indexed: 12/16/2022]
Abstract
Whole-room indirect calorimeters have been used to study human metabolism for more than a century. These studies have contributed substantial knowledge to the assessment of nutritional needs and the regulation of energy expenditure and substrate oxidation in humans. However, comparing results from studies conducted at different sites is challenging because of a lack of consistency in reporting technical performance, study design, and results. In May 2019, an expert panel was convened to consider minimal requirements for conducting and reporting the results of human whole-room indirect calorimeter studies. We propose Room Indirect Calorimetry Operating and Reporting Standards, version 1.0 (RICORS 1.0) to provide guidance to ensure consistency and facilitate meaningful comparisons of human energy metabolism studies across publications, laboratories, and clinical sites.
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Affiliation(s)
- Kong Y. Chen
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda MD USA
| | - Steve Smith
- Translational Research Institute for Diabetes and Metabolism, Florida Hospital, Orlando, FL USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA USA
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, Phoenix, AZ USA
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +Maastricht, The Netherlands
| | - Shigeho Tanaka
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Peter Murgatroyd
- NIHR Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust; Addenbrooke’s Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Robert Brychta
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda MD USA
| | - Christopher Bock
- Translational Research Institute for Diabetes and Metabolism, Florida Hospital, Orlando, FL USA
| | - Elvis Carnero
- Translational Research Institute for Diabetes and Metabolism, Florida Hospital, Orlando, FL USA
| | - Paul Schoffelen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +Maastricht, The Netherlands
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +Maastricht, The Netherlands
| | - Yoichi Hatamoto
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Corey Rynders
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward L. Melanson
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
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92
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Chen S, Scott C, Pearce JV, Farrar JS, Evans RK, Celi FS. An appraisal of whole-room indirect calorimeters and a metabolic cart for measuring resting and active metabolic rates. Sci Rep 2020; 10:14343. [PMID: 32868770 PMCID: PMC7459349 DOI: 10.1038/s41598-020-71001-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 07/24/2020] [Indexed: 12/13/2022] Open
Abstract
Whole-room indirect calorimeters (WRICs) have traditionally been used for real-time resting metabolic rate (RMR) measurements, while metabolic rate (MR) during short-interval exercises has commonly been measured by metabolic carts (MCs). This study aims to investigate the feasibility of incorporating short-interval exercises into WRIC study protocols by comparing the performance of WRICs and an MC. We assessed the 40-min RMR of 15 subjects with 2-day repeats and the 10-15 min activity MR (AMR) of 14 subjects at three intensities, using a large WRIC, a small WRIC, and an MC. We evaluated the biases between the instruments and quantified sources of variation using variance component analysis. All three instruments showed good agreement for both RMR (maximum bias = 0.07 kcal/min) and AMR assessment (maximum bias = 0.53 kcal/min). Moreover, the majority of the variability was between-subject and between-intensity variation, whereas the types of instrument contributed only a small amount to total variation in RMR (2%) and AMR (0.2%) data. In Conclusion, the good reproducibility among the instruments indicates that they may be used interchangeably in well-designed studies. Overall, WRICs can serve as an accurate and versatile means of assessing MR, capable of integrating RMR and short-interval AMR assessments into a single protocol.
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Affiliation(s)
- Shanshan Chen
- Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, USA. .,Division of Endocrinology Diabetes and Metabolism, Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, 1101 East Marshall Street, Sanger Hall, Room 7-007, PO Box 980111, Richmond, VA, 23298-0111, USA.
| | - Cory Scott
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, USA
| | - Janina V Pearce
- Division of Endocrinology Diabetes and Metabolism, Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, 1101 East Marshall Street, Sanger Hall, Room 7-007, PO Box 980111, Richmond, VA, 23298-0111, USA
| | - Jared S Farrar
- Division of Endocrinology Diabetes and Metabolism, Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, 1101 East Marshall Street, Sanger Hall, Room 7-007, PO Box 980111, Richmond, VA, 23298-0111, USA
| | - Ronald K Evans
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, USA
| | - Francesco S Celi
- Division of Endocrinology Diabetes and Metabolism, Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, 1101 East Marshall Street, Sanger Hall, Room 7-007, PO Box 980111, Richmond, VA, 23298-0111, USA.
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93
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Finger AM, Dibner C, Kramer A. Coupled network of the circadian clocks: a driving force of rhythmic physiology. FEBS Lett 2020; 594:2734-2769. [PMID: 32750151 DOI: 10.1002/1873-3468.13898] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/06/2020] [Accepted: 07/21/2020] [Indexed: 12/15/2022]
Abstract
The circadian system is composed of coupled endogenous oscillators that allow living beings, including humans, to anticipate and adapt to daily changes in their environment. In mammals, circadian clocks form a hierarchically organized network with a 'master clock' located in the suprachiasmatic nucleus of the hypothalamus, which ensures entrainment of subsidiary oscillators to environmental cycles. Robust rhythmicity of body clocks is indispensable for temporally coordinating organ functions, and the disruption or misalignment of circadian rhythms caused for instance by modern lifestyle is strongly associated with various widespread diseases. This review aims to provide a comprehensive overview of our current knowledge about the molecular architecture and system-level organization of mammalian circadian oscillators. Furthermore, we discuss the regulatory roles of peripheral clocks for cell and organ physiology and their implication in the temporal coordination of metabolism in human health and disease. Finally, we summarize methods for assessing circadian rhythmicity in humans.
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Affiliation(s)
- Anna-Marie Finger
- Laboratory of Chronobiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - Charna Dibner
- Division of Endocrinology, Diabetes, Nutrition, and Patient Education, Department of Medicine, University Hospital of Geneva, Geneva, Switzerland.,Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
| | - Achim Kramer
- Laboratory of Chronobiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
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94
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Gu C, Brereton N, Schweitzer A, Cotter M, Duan D, Børsheim E, Wolfe RR, Pham LV, Polotsky VY, Jun JC. Metabolic Effects of Late Dinner in Healthy Volunteers-A Randomized Crossover Clinical Trial. J Clin Endocrinol Metab 2020; 105:5855227. [PMID: 32525525 PMCID: PMC7337187 DOI: 10.1210/clinem/dgaa354] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 05/07/2020] [Accepted: 06/05/2020] [Indexed: 01/25/2023]
Abstract
CONTEXT Consuming calories later in the day is associated with obesity and metabolic syndrome. We hypothesized that eating a late dinner alters substrate metabolism during sleep in a manner that promotes obesity. OBJECTIVE The objective of this work is to examine the impact of late dinner on nocturnal metabolism in healthy volunteers. DESIGN AND SETTING This is a randomized crossover trial of late dinner (LD, 22:00) vs routine dinner (RD, 18:00), with a fixed sleep period (23:00-07:00) in a laboratory setting. PARTICIPANTS Participants comprised 20 healthy volunteers (10 male, 10 female), age 26.0 ± 0.6 years, body mass index 23.2 ± 0.7 kg/m2, accustomed to a bedtime between 22:00 and 01:00. INTERVENTIONS An isocaloric macronutrient diet was administered on both visits. Dinner (35% daily kcal, 50% carbohydrate, 35% fat) with an oral lipid tracer ([2H31] palmitate, 15 mg/kg) was given at 18:00 with RD and 22:00 with LD. MAIN OUTCOME MEASURES Measurements included nocturnal and next-morning hourly plasma glucose, insulin, triglycerides, free fatty acids (FFAs), cortisol, dietary fatty acid oxidation, and overnight polysomnography. RESULTS LD caused a 4-hour shift in the postprandial period, overlapping with the sleep phase. Independent of this shift, the postprandial period following LD was characterized by higher glucose, a triglyceride peak delay, and lower FFA and dietary fatty acid oxidation. LD did not affect sleep architecture, but increased plasma cortisol. These metabolic changes were most pronounced in habitual earlier sleepers determined by actigraphy monitoring. CONCLUSION LD induces nocturnal glucose intolerance, and reduces fatty acid oxidation and mobilization, particularly in earlier sleepers. These effects might promote obesity if they recur chronically.
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Affiliation(s)
- Chenjuan Gu
- Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Nga Brereton
- Institute for Clinical and Translational Research, Johns Hopkins University, Baltimore, Maryland
| | - Amy Schweitzer
- Institute for Clinical and Translational Research, Johns Hopkins University, Baltimore, Maryland
| | - Matthew Cotter
- Arkansas Children’s Nutrition Center, Arkansas Children’s Research Institute, Little Rock, Arkansas
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Elisabet Børsheim
- Arkansas Children’s Nutrition Center, Arkansas Children’s Research Institute, Little Rock, Arkansas
- Department of Pediatrics, The University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Department of Geriatrics, Center for Translational Research in Aging and Longevity, The University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Robert R Wolfe
- Department of Pediatrics, The University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Department of Geriatrics, Center for Translational Research in Aging and Longevity, The University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Luu V Pham
- Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Vsevolod Y Polotsky
- Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Jonathan C Jun
- Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
- Correspondence and Reprint Requests: Jonathan C. Jun, MD, Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Room 5A50.B, Baltimore, MD 21224. E-mail:
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95
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Hoddy KK, Marlatt KL, Çetinkaya H, Ravussin E. Intermittent Fasting and Metabolic Health: From Religious Fast to Time-Restricted Feeding. Obesity (Silver Spring) 2020; 28 Suppl 1:S29-S37. [PMID: 32700827 PMCID: PMC7419159 DOI: 10.1002/oby.22829] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/03/2020] [Accepted: 04/05/2020] [Indexed: 12/14/2022]
Abstract
Over the past 10 to 15 years, intermittent fasting has emerged as an unconventional approach to reduce body weight and improve metabolic health beyond simple calorie restriction. In this review, we summarize findings related to Ramadan and Sunnah fasting. We then discuss the role of caloric restriction not only as an intervention for weight control, but importantly, as a strategy for healthy aging and longevity. Finally, we review the four most common intermittent fasting (IF) strategies used to date for weight management and to improve cardiometabolic health. Weight loss is common after IF but does not appear to be different than daily caloric restriction when compared directly. IF may also provide additional cardiometabolic benefit, such as insulin sensitization, that is independent from weight loss. While no specific fasting regimen stands out as superior at this time, there is indeed heterogeneity in responses to these different IF diets. This suggests that one dietary regimen may not be ideally suited for every individual. Future studies should consider strategies for tailoring dietary prescriptions, including IF, based on advanced phenotyping and genotyping prior to diet initiation.
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Affiliation(s)
- Kristin K. Hoddy
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Kara L. Marlatt
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Hatice Çetinkaya
- Department of Nutrition and Dietetics, Faculty of Health Science, Izmir Katip Celebi University, 35620, Izmir, Turkey
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
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96
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Rynders CA, Morton SJ, Bessesen DH, Wright KP, Broussard JL. Circadian Rhythm of Substrate Oxidation and Hormonal Regulators of Energy Balance. Obesity (Silver Spring) 2020; 28 Suppl 1:S104-S113. [PMID: 32463976 PMCID: PMC7381359 DOI: 10.1002/oby.22816] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/11/2020] [Accepted: 03/24/2020] [Indexed: 12/29/2022]
Abstract
OBJECTIVE The circadian system provides an organism with the ability to anticipate daily food availability and appropriately coordinate metabolic responses. Few studies have simultaneously assessed factors involved in both the anticipation of energy availability (i.e., hormones involved in appetite regulation) and subsequent metabolic responses (such as energy expenditure and substrate oxidation) under conditions designed to reveal circadian rhythmicity. METHODS Eight healthy adults (four females; age: 28.0 ± 2.3 years; BMI: 24.3 ± 2.9 kg/m2 ) participated in a 26-hour constant routine protocol involving continuous wakefulness with constant posture, temperature, dim light, and hourly isocaloric snacks. Indirect calorimetry was performed every 3 hours for measurement of energy expenditure and substrate oxidation. Subjective hunger was obtained hourly using questionnaires. Saliva and plasma were obtained hourly to assess melatonin (circadian phase marker) and hormones (leptin, ghrelin, and peptide YY). RESULTS Fat and carbohydrate oxidation was highest in the biological evening and morning, respectively. Subjective hunger ratings peaked during the middle of the biological day. Significant circadian rhythms were identified for ghrelin and peptide YY with peaks in the biological evening and morning, respectively. CONCLUSIONS These findings support a role for the circadian system in the modulation of nutrient oxidation, subjective measures of appetite, and appetitive hormones.
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Affiliation(s)
- Corey A. Rynders
- Division of Geriatric Medicine, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
- Center for Women’s Health Research, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Sarah J. Morton
- Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA
| | - Daniel H. Bessesen
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
- Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
- Denver Health Medical Center, Division of Endocrinology, Denver, Colorado, USA
| | - Kenneth P. Wright
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Josiane L. Broussard
- Center for Women’s Health Research, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
- Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
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97
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Gutierrez-Monreal MA, Harmsen JF, Schrauwen P, Esser KA. Ticking for Metabolic Health: The Skeletal-Muscle Clocks. Obesity (Silver Spring) 2020; 28 Suppl 1:S46-S54. [PMID: 32468732 PMCID: PMC7381376 DOI: 10.1002/oby.22826] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 04/03/2020] [Accepted: 04/05/2020] [Indexed: 12/18/2022]
Abstract
To be prepared for alternating metabolic demands occurring over the 24-hour day, the body preserves information on time in skeletal muscle, and in all cells, through a circadian-clock mechanism. Skeletal muscle can be considered the largest collection of peripheral clocks in the body, with a major contribution to whole-body energy metabolism. Comparison of circadian-clock gene expression between skeletal muscle of nocturnal rodents and diurnal humans reveals very common patterns based on rest/active cycles rather than light/dark cycles. Rodent studies in which the circadian clock is disrupted in skeletal muscle demonstrate impaired glucose handling and insulin resistance. Experimental circadian misalignment in humans modifies the skeletal-muscle clocks and leads to disturbed energy metabolism and insulin resistance. Preclinical studies have revealed that timing of exercise over the day can influence the beneficial effects of exercise on skeletal-muscle metabolism, and studies suggest similar applicability in humans. Current strategies to improve metabolic health (e.g., exercise) should be reinvestigated in their capability to modify the skeletal-muscle clocks by taking timing of the intervention into account.
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Affiliation(s)
| | - Jan-Frieder Harmsen
- Department of Nutrition and Movement Sciences, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands
| | - Karyn A Esser
- Department of Physiology and Functional Genomics, University of Florida, Florida, USA
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98
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Ruddick-Collins LC, Morgan PJ, Johnstone AM. Mealtime: A circadian disruptor and determinant of energy balance? J Neuroendocrinol 2020; 32:e12886. [PMID: 32662577 DOI: 10.1111/jne.12886] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/24/2020] [Accepted: 06/14/2020] [Indexed: 12/21/2022]
Abstract
Circadian rhythms play a critical role in the physiological processes involved in energy metabolism and energy balance (EB). A large array of metabolic processes, including the expression of many energy-regulating endocrine hormones, display temporal rhythms that are driven by both the circadian clock and food intake. Mealtime has been shown to be a compelling zeitgeber in peripheral tissue rhythms. Inconsistent signalling to the periphery, because of mismatched input from the central clock vs time of eating, results in circadian disruption in which central and/or peripheral rhythms are asynchronously time shifted or their amplitudes reduced. A growing body of evidence supports the negative health effects of circadian disruption, with strong evidence in murine models that mealtime-induced circadian disruption results in various metabolic consequences, including energy imbalance and weight gain. Increased weight gain has been reported to occur even without differences in energy intake, indicating an effect of circadian disruption on energy expenditure. However, the translation of these findings to humans is not well established because the ability to undertake rigorously controlled dietary studies that explore the chronic effects on energy regulation is challenging. Establishing the neuroendocrine changes in response to both acute and chronic variations in mealtime, along with observations in populations with routinely abnormal mealtimes, may provide greater insight into underlying mechanisms that influence long-term weight management under different meal patterns. Human studies should explore mechanisms through relevant biomarkers; for example, cortisol, leptin, ghrelin and other energy-regulating neuroendocrine factors. Mistiming between aggregate hormonal signals, or between hormones with their receptors, may cause reduced signalling intensity and hormonal resistance. Understanding how mealtimes may impact on the coordination of endocrine factors is essential for untangling the complex regulation of EB. Here a review is provided on current evidence of the impacts of mealtime on energy metabolism and the underlying neuroendocrine mechanisms, with a specific focus on human research.
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Affiliation(s)
| | - Peter J Morgan
- The Rowett Institute, University of Aberdeen, Aberdeen, UK
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99
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Yuan RK, Zitting K, Wang W, Buxton OM, Williams JS, Duffy JF, Czeisler CA. Fasting blood triglycerides vary with circadian phase in both young and older people. Physiol Rep 2020; 8:e14453. [PMID: 32519460 PMCID: PMC7283043 DOI: 10.14814/phy2.14453] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/27/2020] [Accepted: 04/28/2020] [Indexed: 12/31/2022] Open
Abstract
Daily rhythms in several physiological processes are important for cardiometabolic health. The lipid panel is used clinically to assess cardiovascular disease risk, but previous attempts to demonstrate circadian variation in lipids have failed to uncouple the endogenous circadian rhythm from the effects of meals and wake duration. Changes in basal lipid levels and dampening of circadian rhythms have been reported with aging, but it is unknown whether aging is also associated with changes in the rhythmic variation of lipids. We measured fasting lipid panels (triglycerides, total cholesterol, high-density lipoprotein, and low-density lipoprotein) in blood at wake time in 21 healthy adults using a specialized laboratory protocol that uncouples sleep-wake and activity-related effects from the endogenous circadian rhythm. Young and older adults exhibited endogenous circadian variations in fasting triglycerides, with both groups peaking in the early biological morning. Young adults also exhibited significant circadian rhythmicity in total cholesterol and low-density lipoprotein, while older adults did not exhibit circadian rhythmicity in any other lipids. These results reveal that triglyceride metabolism may be regulated by the central circadian pacemaker. Moreover, our findings may have clinical implications in assessing cardiovascular risk in shift workers and younger adults, since routine measurement of morning/fasting lipids may not fully and reliably assess triglyceride- and other lipid-related biomarkers of cardiovascular disease risk in these groups.
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Affiliation(s)
- Robin K. Yuan
- Division of Sleep and Circadian DisordersDepartments of Medicine and NeurologyBrigham and Women's HospitalBostonMAUSA
- Division of Sleep MedicineHarvard Medical SchoolBostonMAUSA
| | - Kirsi‐Marja Zitting
- Division of Sleep and Circadian DisordersDepartments of Medicine and NeurologyBrigham and Women's HospitalBostonMAUSA
- Division of Sleep MedicineHarvard Medical SchoolBostonMAUSA
| | - Wei Wang
- Division of Sleep and Circadian DisordersDepartments of Medicine and NeurologyBrigham and Women's HospitalBostonMAUSA
- Division of Sleep MedicineHarvard Medical SchoolBostonMAUSA
| | - Orfeu M. Buxton
- Division of Sleep and Circadian DisordersDepartments of Medicine and NeurologyBrigham and Women's HospitalBostonMAUSA
- Division of Sleep MedicineHarvard Medical SchoolBostonMAUSA
- Department of Biobehavioral HealthPennsylvania State UniversityUniversity ParkPAUSA
| | - Jonathan S. Williams
- Division of Endocrinology, Diabetes, and HypertensionDepartment of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Jeanne F. Duffy
- Division of Sleep and Circadian DisordersDepartments of Medicine and NeurologyBrigham and Women's HospitalBostonMAUSA
- Division of Sleep MedicineHarvard Medical SchoolBostonMAUSA
| | - Charles A. Czeisler
- Division of Sleep and Circadian DisordersDepartments of Medicine and NeurologyBrigham and Women's HospitalBostonMAUSA
- Division of Sleep MedicineHarvard Medical SchoolBostonMAUSA
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100
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Refinetti R. Circadian rhythmicity of body temperature and metabolism. Temperature (Austin) 2020; 7:321-362. [PMID: 33251281 PMCID: PMC7678948 DOI: 10.1080/23328940.2020.1743605] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 03/11/2020] [Accepted: 03/12/2020] [Indexed: 12/19/2022] Open
Abstract
This article reviews the literature on the circadian rhythms of body temperature and whole-organism metabolism. The two rhythms are first described separately, each description preceded by a review of research methods. Both rhythms are generated endogenously but can be affected by exogenous factors. The relationship between the two rhythms is discussed next. In endothermic animals, modulation of metabolic activity can affect body temperature, but the rhythm of body temperature is not a mere side effect of the rhythm of metabolic thermogenesis associated with general activity. The circadian system modulates metabolic heat production to generate the body temperature rhythm, which challenges homeothermy but does not abolish it. Individual cells do not regulate their own temperature, but the relationship between circadian rhythms and metabolism at the cellular level is also discussed. Metabolism is both an output of and an input to the circadian clock, meaning that circadian rhythmicity and metabolism are intertwined in the cell.
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Affiliation(s)
- Roberto Refinetti
- Department of Psychology, University of New Orleans, New Orleans, LA, USA
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