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McDermott JE, Jacobs JM, Merrill NJ, Mitchell HD, Arshad OA, McClure R, Teeguarden J, Gajula RP, Porter KI, Satterfield BC, Lundholm KR, Skene DJ, Gaddameedhi S, Dongen HPAV. Molecular-Level Dysregulation of Insulin Pathways and Inflammatory Processes in Peripheral Blood Mononuclear Cells by Circadian Misalignment. J Proteome Res 2024; 23:1547-1558. [PMID: 38619923 DOI: 10.1021/acs.jproteome.3c00418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
Circadian misalignment due to night work has been associated with an elevated risk for chronic diseases. We investigated the effects of circadian misalignment using shotgun protein profiling of peripheral blood mononuclear cells taken from healthy humans during a constant routine protocol, which was conducted immediately after participants had been subjected to a 3-day simulated night shift schedule or a 3-day simulated day shift schedule. By comparing proteomic profiles between the simulated shift conditions, we identified proteins and pathways that are associated with the effects of circadian misalignment and observed that insulin regulation pathways and inflammation-related proteins displayed markedly different temporal patterns after simulated night shift. Further, by integrating the proteomic profiles with previously assessed metabolomic profiles in a network-based approach, we found key associations between circadian dysregulation of protein-level pathways and metabolites of interest in the context of chronic metabolic diseases. Endogenous circadian rhythms in circulating glucose and insulin differed between the simulated shift conditions. Overall, our results suggest that circadian misalignment is associated with a tug of war between central clock mechanisms controlling insulin secretion and peripheral clock mechanisms regulating insulin sensitivity, which may lead to adverse long-term outcomes such as diabetes and obesity. Our study provides a molecular-level mechanism linking circadian misalignment and adverse long-term health consequences of night work.
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Affiliation(s)
- Jason E McDermott
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- Department of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, Oregon 97239, United States
| | - Jon M Jacobs
- Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Nathaniel J Merrill
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Hugh D Mitchell
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Osama A Arshad
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Ryan McClure
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Justin Teeguarden
- Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Rajendra P Gajula
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Kenneth I Porter
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States
| | - Brieann C Satterfield
- Sleep and Performance Research Center, Washington State University, Spokane, Washington 99202, United States
- Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington 99202, United States
| | - Kirsie R Lundholm
- Sleep and Performance Research Center, Washington State University, Spokane, Washington 99202, United States
- Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington 99202, United States
| | - Debra J Skene
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Shobhan Gaddameedhi
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, United States
- Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, Washington 99202, United States
- Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington 99202, United States
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Zeng Y, Guo Z, Wu M, Chen F, Chen L. Circadian rhythm regulates the function of immune cells and participates in the development of tumors. Cell Death Discov 2024; 10:199. [PMID: 38678017 PMCID: PMC11055927 DOI: 10.1038/s41420-024-01960-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/02/2024] [Accepted: 04/11/2024] [Indexed: 04/29/2024] Open
Abstract
Circadian rhythms are present in almost all cells and play a crucial role in regulating various biological processes. Maintaining a stable circadian rhythm is essential for overall health. Disruption of this rhythm can alter the expression of clock genes and cancer-related genes, and affect many metabolic pathways and factors, thereby affecting the function of the immune system and contributing to the occurrence and progression of tumors. This paper aims to elucidate the regulatory effects of BMAL1, clock and other clock genes on immune cells, and reveal the molecular mechanism of circadian rhythm's involvement in tumor and its microenvironment regulation. A deeper understanding of circadian rhythms has the potential to provide new strategies for the treatment of cancer and other immune-related diseases.
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Affiliation(s)
- Yuen Zeng
- Department of Immunology, School of Basic Medical Sciences, Air Force Medical University, Xi'an, China
| | - Zichan Guo
- Faculty of Life Sciences, Northwest University, Xi'an, China
| | - Mengqi Wu
- Department of Immunology, School of Basic Medical Sciences, Air Force Medical University, Xi'an, China
| | - Fulin Chen
- Faculty of Life Sciences, Northwest University, Xi'an, China
| | - Lihua Chen
- Department of Immunology, School of Basic Medical Sciences, Air Force Medical University, Xi'an, China.
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Zhou L, Lu X, Wang X, Huang Z, Wu Y, Zhou L, Meng L, Fu Q, Xia L, Meng S. A Pilot Urinary Proteome Study Reveals Widespread Influences of Circadian Rhythm Disruption by Sleep Deprivation. Appl Biochem Biotechnol 2024; 196:1992-2011. [PMID: 37458940 DOI: 10.1007/s12010-023-04666-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/04/2023] [Indexed: 04/23/2024]
Abstract
It is widely accepted that circadian rhythm disruption caused short- or long-term adverse effects on health. Although many previous studies have focused on exploration of the molecular mechanisms, there is no rapid, convenient, and non-invasive method to reveal the influence on health after circadian rhythm disruption. Here, we performed a high-resolution mass spectrometry-based data-independent acquisition (DIA) quantitative urinary proteomic approach in order to explore whether urine could reveal stress changes to those brought about by circadian rhythm disruption after sleep deprivation. After sleep deprivation, the subjects showed a significant increase in both systolic and diastolic blood pressure compared with routine sleep. More than 2000 proteins were quantified and they contained specific proteins for various organs throughout the body. And a total of 177 significantly up-regulated proteins and 68 significantly down-regulated proteins were obtained after sleep deprivation. These differentially expressed proteins (DEPs) were associated with multiple organs and pathways, which reflected widespread influences of sleep deprivation. Besides, machine learning identified a panel of five DEPs (CD300A, SCAMP3, TXN2, EFEMP1, and MYH11) that can effectively discriminate circadian rhythm disruption. Taken together, our results validate the value of urinary proteome in predicting and diagnosing the changes by circadian rhythm disruption.
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Affiliation(s)
- Li Zhou
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinyu Lu
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaoling Wang
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhixi Huang
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yunzhe Wu
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Liyang Zhou
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Liyuan Meng
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qin Fu
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Li Xia
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Shuang Meng
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Archer SN, Möller-Levet C, Bonmatí-Carrión MÁ, Laing EE, Dijk DJ. Extensive dynamic changes in the human transcriptome and its circadian organization during prolonged bed rest. iScience 2024; 27:109331. [PMID: 38487016 PMCID: PMC10937834 DOI: 10.1016/j.isci.2024.109331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/11/2023] [Accepted: 02/20/2024] [Indexed: 03/17/2024] Open
Abstract
Physiological and molecular processes including the transcriptome change across the 24-h day, driven by molecular circadian clocks and behavioral and systemic factors. It is not known how the temporal organization of the human transcriptome responds to a long-lasting challenge. This may, however, provide insights into adaptation, disease, and recovery. We investigated the human 24-h time series transcriptome in 20 individuals during a 90-day constant bed rest protocol. We show that the protocol affected 91% of the transcriptome with 76% of the transcriptome still affected after 10 days of recovery. Dimensionality-reduction approaches revealed that many affected transcripts were associated with mRNA translation and immune function. The number, amplitude, and phase of rhythmic transcripts, including clock genes, varied significantly across the challenge. These findings of long-lasting changes in the temporal organization of the transcriptome have implications for understanding the mechanisms underlying health consequences of conditions such as microgravity and bed rest.
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Affiliation(s)
- Simon N. Archer
- Surrey Sleep Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK
| | - Carla Möller-Levet
- Bioinformatics Core Facility, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK
| | - María-Ángeles Bonmatí-Carrión
- Surrey Sleep Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK
- Chronobiology Laboratory, Department of Physiology, University of Murcia, Murcia, Spain
- Ciber Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Emma E. Laing
- Department of Microbiology, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK
- UK Dementia Research Institute Care Research & Technology Centre, Imperial College London & University of Surrey, Guildford, UK
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Malin SK, Syeda USA, Remchak MME, Heiston EM. Early chronotype favors appetite and reduced later day caloric intake among adults with obesity. Chronobiol Int 2024; 41:427-438. [PMID: 38317499 PMCID: PMC11019895 DOI: 10.1080/07420528.2024.2313643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024]
Abstract
Late chronotype (LC) is related to obesity and altered food intake throughout the day. But whether appetite perception and gut hormones differ among chronotypes is unclear. Thus, we examined if early chronotype (EC) have different appetite responses in relation to food intake than LC. Adults with obesity were categorized using the Morningness-Eveningness Questionnaire (MEQ) as either EC (n = 21, 18F, MEQ = 63.9 ± 1.0, 53.7 ± 1.2 yr, 36.2 ± 1.1 kg/m2) and LC (n = 28, 24F, MEQ = 47.2 ± 1.5, 55.7 ± 1.4 yr, 37.1 ± 1.0 kg/m2). Visual analog scales were used during a 120 min 75 g oral glucose tolerance test (OGTT) at 30 min intervals to assess appetite perception, as well as glucose, insulin, GLP-1 (glucagon-like polypeptide-1), GIP (glucose-dependent insulinotrophic peptide), PYY (protein tyrosine tyrosine), and acylated ghrelin. Dietary intake (food logs), resting metabolic rate (RMR; indirect calorimetry), aerobic fitness (maximal oxygen consumption (VO2max)), and body composition dual-energy X-ray absorptiometry (DXA) were also assessed. Age, body composition, RMR, and fasting appetite were similar between groups. However, EC had higher satisfaction and fullness as well as reduced desires for sweet, salty, savory, and fatty foods during the OGTT (P <0.05). Only GIP tAUC0-120 min was elevated in EC versus LC (p = 0.01). Daily dietary intake was similar between groups, but EC ate fewer carbohydrates (p = 0.05) and more protein (p = 0.01) at lunch. Further, EC had lower caloric (p = 0.03), protein (p = 0.03) and fat (p = 0.04) intake during afternoon snacking compared to LC. Dietary fat was lower, and carbohydrates was higher, in EC than LC (p = 0.05) at dinner. Low glucose and high insulin as well as GLP-1 tAUC60-120 min related to desires for sweet foods (p < 0.05). Taken together, EC had more favorable appetite and lower caloric intake later in the day compared with LC.
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Affiliation(s)
- Steven K. Malin
- Department of Kinesiology & Health, Rutgers University, New Brunswick, NJ
- Division of Endocrinology, Metabolism & Nutrition; Rutgers University, New Brunswick, NJ
- New Jersey Institute for Food, Nutrition and Health, Rutgers University, New Brunswick, NJ
- Institute of Translational Medicine and Science, Rutgers University, New Brunswick, NJ
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Wang P, Tan Q, Zhao Y, Zhao J, Zhang Y, Shi D. Night eating in timing, frequency, and food quality and risks of all-cause, cancer, and diabetes mortality: findings from national health and nutrition examination survey. Nutr Diabetes 2024; 14:5. [PMID: 38413565 PMCID: PMC10899630 DOI: 10.1038/s41387-024-00266-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 02/29/2024] Open
Abstract
OBJECTIVE To investigate the association of timing, frequency, and food quality of night eating with all-cause, cancer, and diabetes mortality. METHODS This study included 41,744 participants from the US National Health and Nutrition Examination Survey (2002-2018). Night eating information was collected by 24-h dietary recall and the exposures were timing, frequency, and food quality of night eating. Food quality was assessed by latent class analysis. The outcomes were all-cause, cancer, and diabetes mortality, which were identified by the National Death Index and the International Classification of Diseases 10th Revision. Adjusted hazard ratios [aHR] with 95% confidence intervals [CI] were computed by Cox regression. RESULTS During a median follow-up of 8.7 years, 6066 deaths were documented, including 1381 from cancer and 206 from diabetes. Compared with no night eating (eating before 22:00), the later timing of night eating was associated with higher risk of all-cause and diabetes mortality (each P-trend <0.05) rather than cancer mortality, with the highest risk of eating being 00:00-1:00 (aHR 1.38, 95% CI 1.02-1.88) and being 23:00-00:00 (aHR 2.31, 95% CI 1.21-4.40), respectively. However, the increased risks were not observed for 22:00-23:00. Likewise, one time or over frequency of night eating was associated with higher all-cause and diabetes mortality (each P < 0.05). That risks were further observed in high-dietary-energy-density group of night eating (all-cause mortality: aHR 1.21 [95% CI 1.06-1.38]; diabetes mortality: aHR 1.97 [95% CI 1.13-3.45]), but not in low-dietary-energy-density group. Finally, correlation analysis found positive associations of night eating with glycohemoglobin, fasting glucose, and OGTT. CONCLUSIONS Night eating was associated with increased all-cause, cancer and diabetes mortality; however, reduction of excess mortality risk was observed when eating before 23:00 or low-dietary-energy-density foods.
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Affiliation(s)
- Peng Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Qilong Tan
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yaxuan Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Jingwen Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Yuzhu Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Dan Shi
- Department of Nutrition and Food Hygiene, School of Public Health, Chongqing Medical University, Chongqing, China.
- Research Centre for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China.
- Nutrition Innovation Platform-Sichuan and Chongqing, School of Public Health, Chongqing Medical University, Chongqing, China.
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Specht A, Kolosov G, Cederberg KLJ, Bueno F, Arrona-Palacios A, Pardilla-Delgado E, Ruiz-Herrera N, Zitting KM, Kramer A, Zeitzer JM, Czeisler CA, Duffy JF, Mignot E. Circadian protein expression patterns in healthy young adults. Sleep Health 2024; 10:S41-S51. [PMID: 38087675 PMCID: PMC11031319 DOI: 10.1016/j.sleh.2023.10.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 04/20/2024]
Abstract
OBJECTIVES To explore how the blood plasma proteome fluctuates across the 24-hour day and identify a subset of proteins that show endogenous circadian rhythmicity. METHODS Plasma samples from 17 healthy adults were collected hourly under controlled conditions designed to unmask endogenous circadian rhythmicity; in a subset of 8 participants, we also collected samples across a day on a typical sleep-wake schedule. A total of 6916 proteins were analyzed from each sample using the SomaScan aptamer-based multiplexed platform. We used differential rhythmicity analysis based on a cosinor model with mixed effects to identify a subset of proteins that showed circadian rhythmicity in their abundance. RESULTS One thousand and sixty-three (15%) proteins exhibited significant daily rhythmicity. Of those, 431 (6.2%) proteins displayed consistent endogenous circadian rhythms on both a sleep-wake schedule and under controlled conditions: it included both known and novel proteins. When models were fitted with two harmonics, an additional 259 (3.7%) proteins exhibited significant endogenous circadian rhythmicity, indicating that some rhythmic proteins cannot be solely captured by a simple sinusoidal model. Overall, we found that the largest number of proteins had their peak levels in the late afternoon/evening, with another smaller group peaking in the early morning. CONCLUSIONS This study reveals that hundreds of plasma proteins exhibit endogenous circadian rhythmicity in humans. Future analyses will likely reveal novel physiological pathways regulated by circadian clocks and pave the way for improved diagnosis and treatment for patients with circadian disorders and other pathologies. It will also advance efforts to include knowledge about time-of-day, thereby incorporating circadian medicine into personalized medicine.
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Affiliation(s)
- Adrien Specht
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA
| | - German Kolosov
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA
| | - Katie L J Cederberg
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA
| | - Flavia Bueno
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA
| | - Arturo Arrona-Palacios
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Enmanuelle Pardilla-Delgado
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Noelia Ruiz-Herrera
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - 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, USA
| | - Achim Kramer
- Division of Chronobiology, Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jamie M Zeitzer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - 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, USA.
| | - Emmanuel Mignot
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA.
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Broussard JL, Knud-Hansen BC, Grady S, Knauer OA, Ronda JM, Aeschbach D, Czeisler CA, Wright KP. Influence of circadian phase and extended wakefulness on glucose levels during forced desynchrony. Sleep Health 2024; 10:S96-S102. [PMID: 37996284 PMCID: PMC11031343 DOI: 10.1016/j.sleh.2023.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 09/23/2023] [Accepted: 10/18/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES Circadian misalignment and sleep deprivation often occur in tandem, and both negatively impact glucose homeostasis and metabolic health. The present study employed a forced desynchrony protocol to examine the influence of extended wakefulness and circadian misalignment on hourly glucose levels. METHODS Nine healthy adults (4F/5M; 26 ± 4years) completed a 31-day in-laboratory protocol. After three 24 hour baseline days with 8 hours scheduled sleep opportunities, participants were scheduled to 14 consecutive 42.85 hour sleep-wake cycles, with 28.57 hours extended wakefulness and 14.28 hours sleep opportunities each cycle. Blood was sampled hourly across the forced desynchrony and over 600 plasma samples per participant were analyzed for glucose levels. RESULTS Both hours into the 42.85 hours forced desynchrony day and circadian phase modulated glucose levels (p < .0001). Glucose peaked after each meal during scheduled wakefulness and decreased during scheduled sleep/fasting. Glucose levels were, on average, lowest during the biological daytime and rose throughout the biological night, peaking in the biological morning. When analyzed separately for scheduled sleep vs. wakefulness, the peak timing of the circadian rhythm in glucose was later during sleep (p < .05). Glucose area under the curve levels increased rapidly from the beginning of the forced desynchrony protocol and were highest on the second forced desynchrony day (p < .01), returning towards forced desynchrony day 1 levels thereafter. CONCLUSIONS These findings have important implications for understanding factors contributing to altered glucose metabolism during sleep loss and circadian misalignment, and for potential physiological adaptation of metabolism in healthy adults, who are increasingly exposed to such conditions in our society.
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Affiliation(s)
- Josiane L Broussard
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Sleep and Metabolism Laboratory, Department of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.
| | - Brent C Knud-Hansen
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Sleep and Metabolism Laboratory, Department of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA
| | - Scott Grady
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA; Portland Diabetes and Endocrinology Center, PC, Portland, Oregon, USA
| | - Oliver A Knauer
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Joseph M Ronda
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel Aeschbach
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA; Department of Sleep and Human Factors Research, Institute of Aerospace Medicine, German Aerospace Center, Cologne, Germany
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA.
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA.
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Samynathan A, Fishbein AB, Abbott SM, Booster GD, Zee PC, Sheldon SH, Yosipovitch G, Silverberg JI. Assessment and Management of Sleep Disturbances in Atopic Dermatitis: A Review. Dermatitis 2024; 35:S7-S12. [PMID: 37756222 DOI: 10.1089/derm.2023.0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Atopic dermatitis (AD) is a chronic burdensome inflammatory skin disease with well-established cutaneous and systemic comorbidities and disease burden. AD particularly has profound impacts on sleep in individuals of all ages. Sleep disturbances (SDs) affect 6.2% of school-age children and 33-87.1% of adults with AD. This narrative review addresses the burden of SD in AD patients, as well as biological mechanisms of SD in AD, including biological clocks influencing sleep, inflammation, and behavior. Approaches for early detection, diagnosis, objective quantification, patient education, and management are reviewed. It is imperative to break the itch-scratch cycle to reduce SDs and improve quality of life in individuals with AD.
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Affiliation(s)
- Archana Samynathan
- From the Department of Dermatology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Anna B Fishbein
- Department of Allergy and Immunology, Robert and Anne Lurie Children's Hospital, Chicago, Illinois, USA
| | - Sabra M Abbott
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Genery D Booster
- Department of Pediatrics, National Jewish Hospital, Denver, Colorado, USA
| | - Phyllis C Zee
- Department of Sleep Medicine, Robert and Anne Lurie Children's Hospital, Chicago, Illinois, USA
| | - Stephen H Sheldon
- Sleep Medicine Center, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Gil Yosipovitch
- Department of Dermatology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Jonathan I Silverberg
- Department of Dermatology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
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10
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Daniels LJ, Kay D, Marjot T, Hodson L, Ray DW. Circadian regulation of liver metabolism: experimental approaches in human, rodent, and cellular models. Am J Physiol Cell Physiol 2023; 325:C1158-C1177. [PMID: 37642240 PMCID: PMC10861179 DOI: 10.1152/ajpcell.00551.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 06/15/2023] [Accepted: 07/19/2023] [Indexed: 08/31/2023]
Abstract
Circadian rhythms are endogenous oscillations with approximately a 24-h period that allow organisms to anticipate the change between day and night. Disruptions that desynchronize or misalign circadian rhythms are associated with an increased risk of cardiometabolic disease. This review focuses on the liver circadian clock as relevant to the risk of developing metabolic diseases including nonalcoholic fatty liver disease (NAFLD), insulin resistance, and type 2 diabetes (T2D). Many liver functions exhibit rhythmicity. Approximately 40% of the hepatic transcriptome exhibits 24-h rhythms, along with rhythms in protein levels, posttranslational modification, and various metabolites. The liver circadian clock is critical for maintaining glucose and lipid homeostasis. Most of the attention in the metabolic field has been directed toward diet, exercise, and rather little to modifiable risks due to circadian misalignment or disruption. Therefore, the aim of this review is to systematically analyze the various approaches that study liver circadian pathways, targeting metabolic liver diseases, such as diabetes, nonalcoholic fatty liver disease, using human, rodent, and cell biology models.NEW & NOTEWORTHY Over the past decade, there has been an increased interest in understanding the intricate relationship between circadian rhythm and liver metabolism. In this review, we have systematically searched the literature to analyze the various experimental approaches utilizing human, rodent, and in vitro cellular approaches to dissect the link between liver circadian rhythms and metabolic disease.
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Affiliation(s)
- Lorna J Daniels
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Danielle Kay
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Thomas Marjot
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Leanne Hodson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - David W Ray
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
- Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, United Kingdom
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11
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Butler T, Maidstone JR, Rutter KM, McLaughlin TJ, Ray WD, Gibbs EJ. The Associations of Chronotype and Shift Work With Rheumatoid Arthritis. J Biol Rhythms 2023; 38:510-518. [PMID: 37382359 PMCID: PMC10475206 DOI: 10.1177/07487304231179595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
The circadian clock regulates multiple aspects of human physiology including immunity. People have a circadian preference termed chronotype. Those with an evening preference may be better suited to shift work, but also carry higher risk of adverse health. Shift work leads to misalignment of circadian rhythms and is associated with increased risk of inflammatory disease such as asthma and cancer. Here, we investigate the association between chronotype, shift work, and rheumatoid arthritis (RA). The associations between exposures of shift work and chronotype on risk of RA were studied in up to 444,210 U.K. Biobank participants. Multivariable logistic regression models were adjusted for covariates: age, sex, ethnicity, alcohol intake, smoking history, Townsend Deprivation Index (TDI), sleep duration, length of working week, and body mass index (BMI). After adjusting for covariates, individuals with a morning chronotype had lower odds of having rheumatoid arthritis (RA; odds ratio [OR]: 0.93, 95% confidence interval [CI]: 0.88-0.99) when compared to intermediate chronotypes. The association between morning chronotype and RA persisted with a more stringent RA case definition (covariate-adjusted OR: 0.89, 95% CI: 0.81-0.97). When adjusted for age, sex, ethnicity, and TDI, shift workers had higher odds of RA (OR: 1.22, 95% CI: 1.1-1.36) compared to day workers that attenuated to the null after further covariate adjustment (OR: 1.1, 95% CI: 0.98-1.22). Morning chronotypes working permanent night shifts had significantly higher odds of RA compared to day workers (OR: 1.89, 95% CI: 1.19-2.99). These data point to a role for circadian rhythms in RA pathogenesis. Further studies are required to determine the mechanisms underlying this association and understand the potential impact of shift work on chronic inflammatory disease and its mediating factors.
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Affiliation(s)
- Thomas Butler
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - J Robert Maidstone
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - K Martin Rutter
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - T John McLaughlin
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- Department of Gastroenterology, Salford Royal NHS Foundation Trust, Salford, UK
| | - W David Ray
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - E Julie Gibbs
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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12
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Imes CC, Tucker SJ, Trinkoff AM, Chasens ER, Weinstein SM, Dunbar-Jacob J, Patrician PA, Redeker NS, Baldwin CM. Wake-up Call: Night Shifts Adversely Affect Nurse Health and Retention, Patient and Public Safety, and Costs. Nurs Adm Q 2023; 47:E38-E53. [PMID: 37643236 DOI: 10.1097/naq.0000000000000595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
The purpose of this mini review is to (1) summarize the findings on the impact of night shift on nurses' health and wellness, patient and public safety, and implications on organizational costs and (2) provide strategies to promote night shift nurses' health and improve organizational costs. The night shift, compared with day shift, results in poorer physical and mental health through its adverse effects on sleep, circadian rhythms, and dietary and beverage consumption, along with impaired cognitive function that increases nurse errors. Nurse administrators and health care organizations have opportunities to improve nurse and patient safety on night shifts. Low-, moderate-, and higher-cost measures that promote night nurses' health and well-being can help mitigate these negative outcomes. The provided individual and organizational recommendations and innovations support night shift nurses' health, patient and public safety, and organizational success.
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Affiliation(s)
- Christopher C Imes
- School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania (Drs Imes, Chasens, and Dunbar-Jacob); College of Nursing, The Ohio State University, Columbus (Dr Tucker); School of Nursing, University of Maryland, Baltimore (Dr Trinkoff); School of Nursing, Purdue University Global, West Lafayette, Indiana (Ms Weinstein); School of Nursing, The University of Alabama at Birmingham (Dr Patrician); School of Nursing, University of Connecticut, Storrs (Dr Redeker); and Edson College of Nursing and Health Innovation, Arizona State University, Phoenix (Dr Baldwin)
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13
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Rahman SA, Gathungu RM, Marur VR, St Hilaire MA, Scheuermaier K, Belenky M, Struble JS, Czeisler CA, Lockley SW, Klerman EB, Duffy JF, Kristal BS. Age-related changes in circadian regulation of the human plasma lipidome. Commun Biol 2023; 6:756. [PMID: 37474677 PMCID: PMC10359364 DOI: 10.1038/s42003-023-05102-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 07/06/2023] [Indexed: 07/22/2023] Open
Abstract
Aging alters the amplitude and phase of centrally regulated circadian rhythms. Here we evaluate whether peripheral circadian rhythmicity in the plasma lipidome is altered by aging through retrospective lipidomics analysis on plasma samples collected in 24 healthy individuals (9 females; mean ± SD age: 40.9 ± 18.2 years) including 12 younger (4 females, 23.5 ± 3.9 years) and 12 middle-aged older, (5 females, 58.3 ± 4.2 years) individuals every 3 h throughout a 27-h constant routine (CR) protocol, which allows separating evoked changes from endogenously generated oscillations in physiology. Cosinor regression shows circadian rhythmicity in 25% of lipids in both groups. On average, the older group has a ~14% lower amplitude and a ~2.1 h earlier acrophase of the lipid circadian rhythms (both, p ≤ 0.001). Additionally, more rhythmic circadian lipids have a significant linear component in addition to the sinusoidal across the 27-h CR in the older group (44/56) compared to the younger group (18/58, p < 0.0001). Results from individual-level data are consistent with group-average results. Results indicate that prevalence of endogenous circadian rhythms of the human plasma lipidome is preserved with healthy aging into middle-age, but significant changes in rhythmicity include a reduction in amplitude, earlier acrophase, and an altered temporal relationship between central and lipid rhythms.
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Grants
- R01 HL128538 NHLBI NIH HHS
- T32 HL007901 NHLBI NIH HHS
- R01 AG006072 NIA NIH HHS
- R01 HD107064 NICHD NIH HHS
- U01 NS114001 NINDS NIH HHS
- R01 HL132556 NHLBI NIH HHS
- UL1 TR001102 NCATS NIH HHS
- UL1 RR025758 NCRR NIH HHS
- R01 HL162102 NHLBI NIH HHS
- R01 HL166205 NHLBI NIH HHS
- R01 HL159207 NHLBI NIH HHS
- U54 AG062322 NIA NIH HHS
- R01 NS114526 NINDS NIH HHS
- R01 HL140335 NHLBI NIH HHS
- R01 HL114088 NHLBI NIH HHS
- R01 NS099055 NINDS NIH HHS
- R21 DA052861 NIDA NIH HHS
- R03 AG071922 NIA NIH HHS
- The work was supported by grants from the NIH: R01-HL132556 (BSK), R01-HL140335 (BSK), R01-HL114088 (EBK), R01-AG06072 (JFD), and R01-HL159207 (SAR). KS was supported by a T32 HL07901 and a NIA F32 AG316902. EBK was supported by NIH R01NS099055, U01NS114001, U54AG062322, R21DA052861, R21DA052861, R01NS114526-02S1, R01-HD107064, DoD W81XWH201076; and Leducq Foundation for Cardiovascular Research. The clinical research projects described were supported by NIH grant 1UL1 TR001102-01, 8UL1TR000170-05, UL1 RR025758, Harvard Clinical and Translational Science Center, from the National Center for Advancing Translational Science. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources, the National Center for Advancing Translational Science or the National Institutes of Health.
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Affiliation(s)
- Shadab A Rahman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Rose M Gathungu
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Enara Bio, The Magdalen Centre, Oxford Science Park, 1 Robert Robinson Avenue, Oxford, OX4 4GA, UK
| | - Vasant R Marur
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Quantitative Biosciences, Merck & Co., Inc, 320 Bent St, Cambridge, MA, 02141, USA
| | - Melissa A St Hilaire
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Department of Computer and Data Sciences, School of Science and Engineering, Merrimack College, 315 Turnpike Street, North Andover, MA, 01845, USA
| | - Karine Scheuermaier
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa
| | - Marina Belenky
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Jackson S Struble
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Steven W Lockley
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, 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, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Jeanne F Duffy
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Bruce S Kristal
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA, 02115, USA.
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, USA.
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14
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Chen C, Wang J, Yang C, Yu H, Zhang B, Yang X, Xiong B, Xie Y, Li S, Zhang Z, Zhu F, Liu J, Liu G, Yang X. Multiomics analysis of human peripheral blood reveals marked molecular profiling changes caused by one night of sleep deprivation. MedComm (Beijing) 2023; 4:e252. [PMID: 37139463 PMCID: PMC10149526 DOI: 10.1002/mco2.252] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/04/2023] [Accepted: 03/12/2023] [Indexed: 05/05/2023] Open
Abstract
Sleep insufficiency is associated with various disorders; the molecular basis is unknown until now. Here, 14 males and 18 females were subjected to short-term (24 h) sleep deprivation, and donated fasting blood samples prior to (day 1) and following (days 2 and 3) short-term sleep deprivation. We used multiple omics techniques to examine changes in volunteers' blood samples that were subjected to integrated, biochemical, transcriptomic, proteomic, and metabolomic analyses. Sleep deprivation caused marked molecular changes (46.4% transcript genes, 59.3% proteins, and 55.6% metabolites) that incompletely reversed by day 3. The immune system in particular neutrophil-mediated processes associated with plasma superoxidase dismutase-1 and S100A8 gene expression was markedly affected. Sleep deprivation decreased melatonin levels and increased immune cells, inflammatory factors and c-reactive protein. By disease enrichment analysis, sleep deprivation induced signaling pathways for schizophrenia and neurodegenerative diseases enriched. In sum, this is the first multiomics approach to show that sleep deprivation causes prominent immune changes in humans, and clearly identified potential immune biomarkers associated with sleep deprivation. This study indicated that the blood profile following sleep disruption, such as may occur among shift workers, may induce immune and central nervous system dysfunction.
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Affiliation(s)
- Chongyang Chen
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020‐2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear MedicineJiangsu Institute of Nuclear MedicineWuxiChina
| | - Jing Wang
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020‐2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
| | - Chao Yang
- Cognitive Impairment Ward of Neurology DepartmentThe 3rd Affiliated Hospital of Shenzhen UniversityShenzhenChina
| | - Haitao Yu
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Bingge Zhang
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xiao Yang
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020‐2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
| | - Bocheng Xiong
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020‐2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
| | - Yongmei Xie
- State Key Laboratory of Biotherapy and Cancer Center, West China HospitalSichuan University and Collaborative Innovation Center of BiotherapyChengduChina
| | - Shupeng Li
- School of Chemical Biology and BiotechnologyPeking University Shenzhen Graduate SchoolShenzhenChina
| | - Zaijun Zhang
- Institute of New Drug Research and Guangzhou, Key Laboratory of Innovative Chemical Drug Research in Cardio‐cerebrovascular DiseasesJinan University College of PharmacyGuangzhouChina
| | - Feiqi Zhu
- Cognitive Impairment Ward of Neurology DepartmentThe 3rd Affiliated Hospital of Shenzhen UniversityShenzhenChina
| | - Jianjun Liu
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020‐2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
| | - Gong‐Ping Liu
- Cognitive Impairment Ward of Neurology DepartmentThe 3rd Affiliated Hospital of Shenzhen UniversityShenzhenChina
- Co‐innovation Center of NeurodegenerationNantong UniversityNantongChina
| | - Xifei Yang
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020‐2024)Shenzhen Center for Disease Control and PreventionShenzhenChina
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15
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Liu W, Ma R, Sun C, Xu Y, Liu Y, Hu J, Ma Y, Wang D, Wen D, Yu Y. Implications from proteomic studies investigating circadian rhythm disorder-regulated neurodegenerative disease pathology. Sleep Med Rev 2023; 70:101789. [PMID: 37253318 DOI: 10.1016/j.smrv.2023.101789] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 05/01/2023] [Accepted: 05/05/2023] [Indexed: 06/01/2023]
Abstract
Neurodegenerative diseases (NDs) affect 15% of the world's population and are becoming an increasingly common cause of morbidity and mortality worldwide. Circadian rhythm disorders (CRDs) have been reported to be involved in the pathogenic regulation of various neurologic diseases, including Alzheimer's disease, Parkinson's disease, Huntington's disease, multiple sclerosis and amyotrophic lateral sclerosis. Proteomic technology is helpful to explore treatment targets for CRDs in patients with NDs. Here, we review the key differentially expressed (DE) proteins identified in previous proteomic studies investigating NDs, CRDs and associated models and the related pathways identified by enrichment analysis. Furthermore, we summarize the advantages and disadvantages of the above studies and propose new proteomic technologies for the precise study of circadian disorder-mediated regulation of ND pathology. This review provides a theoretical and technical reference for the precise study of circadian disorder-mediated regulation of ND pathology.
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Affiliation(s)
- Weiwei Liu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Ruze Ma
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China; Department of Gerontology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China
| | - Chen Sun
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Yingxi Xu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Yang Liu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Jiajin Hu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Yanan Ma
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China; Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Difei Wang
- Department of Gerontology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China
| | - Deliang Wen
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China.
| | - Yang Yu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China.
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16
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Knauert MP, Ayas NT, Bosma KJ, Drouot X, Heavner MS, Owens RL, Watson PL, Wilcox ME, Anderson BJ, Cordoza ML, Devlin JW, Elliott R, Gehlbach BK, Girard TD, Kamdar BB, Korwin AS, Lusczek ER, Parthasarathy S, Spies C, Sunderram J, Telias I, Weinhouse GL, Zee PC. Causes, Consequences, and Treatments of Sleep and Circadian Disruption in the ICU: An Official American Thoracic Society Research Statement. Am J Respir Crit Care Med 2023; 207:e49-e68. [PMID: 36999950 PMCID: PMC10111990 DOI: 10.1164/rccm.202301-0184st] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023] Open
Abstract
Background: Sleep and circadian disruption (SCD) is common and severe in the ICU. On the basis of rigorous evidence in non-ICU populations and emerging evidence in ICU populations, SCD is likely to have a profound negative impact on patient outcomes. Thus, it is urgent that we establish research priorities to advance understanding of ICU SCD. Methods: We convened a multidisciplinary group with relevant expertise to participate in an American Thoracic Society Workshop. Workshop objectives included identifying ICU SCD subtopics of interest, key knowledge gaps, and research priorities. Members attended remote sessions from March to November 2021. Recorded presentations were prepared and viewed by members before Workshop sessions. Workshop discussion focused on key gaps and related research priorities. The priorities listed herein were selected on the basis of rank as established by a series of anonymous surveys. Results: We identified the following research priorities: establish an ICU SCD definition, further develop rigorous and feasible ICU SCD measures, test associations between ICU SCD domains and outcomes, promote the inclusion of mechanistic and patient-centered outcomes within large clinical studies, leverage implementation science strategies to maximize intervention fidelity and sustainability, and collaborate among investigators to harmonize methods and promote multisite investigation. Conclusions: ICU SCD is a complex and compelling potential target for improving ICU outcomes. Given the influence on all other research priorities, further development of rigorous, feasible ICU SCD measurement is a key next step in advancing the field.
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17
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Teixeira BS, Silva CM, Silva ATF, Santos LLD, de Paiva Maia YC, Pedrazzoli M, Wright KP, Crispim CA. Influence of fasting during the night shift on next day eating behavior, hunger, and glucose and insulin levels: a randomized, three-condition, crossover trial. Eur J Nutr 2023; 62:1281-1293. [PMID: 36526739 DOI: 10.1007/s00394-022-03069-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022]
Abstract
AIMS To investigate the influence of fasting during the night shift on eating behavior, hunger, glucose and insulin levels the following day. METHODS Study with 10 male police officers who have been working at night. Participants were tested under three different conditions separated by at least 6 days of washout in a randomized, crossover design: "Night Shift Fasting" (NSF)-two nights of fasting during the night shift; "Night Shift Eating" (NSE)-two nights with the consumption of a standardized meal during the night shift (678 ± 42 kcal consumed at ~ 0200 h); and "Nighttime Sleep" (NS)-two nights of sleep. The morning after, blood glucose and insulin and hunger ratings were assessed, and food intake was assessed with an ad libitum test meal. Food intake was also assessed throughout the remainder of the day using a food record. Generalized Estimating Equations were used to analyze the effect of experimental condition. RESULTS Food intake during the test meal, especially of proteins and fats, was higher after fasting during the night shift compared to the other conditions (p < 0.05), whereas desire to eat scores were lower after the NSF compared to NSE condition (p = 0.043). Hunger levels were lower after the NSF compared to the NS condition (p = 0.012). Insulin and HOMA-IR were also lower in the morning after NSF (p < 0.001). CONCLUSION Fasting during the night shift leads to not only a higher intake of energy and macronutrients both in the early morning after work and throughout the next day, but also lower insulin levels and HOMA-IR in the morning. REGISTRATION NUMBER OF CLINICAL TRIAL NCT03800732. Initial release: 01/09/2019. Last release: 02/23/2022.
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Affiliation(s)
- Bruno Simão Teixeira
- Chrononutrition Research Group, School of Medicine, Faculty of Medicine, Federal University of Uberlândia, Av. Para, 1720, Bloco 2U, Sala 20. Campus Umuarama, Uberlândia, Minas Gerais, 38405-320, Brazil
| | - Catarina Mendes Silva
- Chrononutrition Research Group, School of Medicine, Faculty of Medicine, Federal University of Uberlândia, Av. Para, 1720, Bloco 2U, Sala 20. Campus Umuarama, Uberlândia, Minas Gerais, 38405-320, Brazil
| | - Alinne Tatiane Faria Silva
- Molecular Biology and Nutrition Research Group, School of Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, 38405-320, Brazil
| | - Letícia Lopes Dantas Santos
- Molecular Biology and Nutrition Research Group, School of Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, 38405-320, Brazil
| | - Yara Cristina de Paiva Maia
- Molecular Biology and Nutrition Research Group, School of Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, 38405-320, Brazil
| | - Mario Pedrazzoli
- School of Arts, Sciences and Humanities of University of São Paulo, São Paulo, Brazil
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, 80309-0354, USA
| | - Cibele Aparecida Crispim
- Chrononutrition Research Group, School of Medicine, Faculty of Medicine, Federal University of Uberlândia, Av. Para, 1720, Bloco 2U, Sala 20. Campus Umuarama, Uberlândia, Minas Gerais, 38405-320, Brazil.
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18
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Multi-Omics Reveal Interplay between Circadian Dysfunction and Type2 Diabetes. BIOLOGY 2023; 12:biology12020301. [PMID: 36829576 PMCID: PMC9953493 DOI: 10.3390/biology12020301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023]
Abstract
Type 2 diabetes is one of the leading threats to human health in the 21st century. It is a metabolic disorder characterized by a dysregulated glucose metabolism resulting from impaired insulin secretion or insulin resistance. More recently, accumulated epidemiological and animal model studies have confirmed that circadian dysfunction caused by shift work, late meal timing, and sleep loss leads to type 2 diabetes. Circadian rhythms, 24-h endogenous biological oscillations, are a fundamental feature of nearly all organisms and control many physiological and cellular functions. In mammals, light synchronizes brain clocks and feeding is a main stimulus that synchronizes the peripheral clocks in metabolic tissues, such as liver, pancreas, muscles, and adipose tissues. Circadian arrhythmia causes the loss of synchrony of the clocks of these metabolic tissues and leads to an impaired pancreas β-cell metabolism coupled with altered insulin secretion. In addition to these, gut microbes and circadian rhythms are intertwined via metabolic regulation. Omics approaches play a significant role in unraveling how a disrupted circadian metabolism causes type 2 diabetes. In the present review, we emphasize the discoveries of several genes, proteins, and metabolites that contribute to the emergence of type 2 diabetes mellitus (T2D). The implications of these discoveries for comprehending the circadian clock network in T2D may lead to new therapeutic solutions.
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19
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Chaput JP, McHill AW, Cox RC, Broussard JL, Dutil C, da Costa BGG, Sampasa-Kanyinga H, Wright KP. The role of insufficient sleep and circadian misalignment in obesity. Nat Rev Endocrinol 2023; 19:82-97. [PMID: 36280789 PMCID: PMC9590398 DOI: 10.1038/s41574-022-00747-7] [Citation(s) in RCA: 87] [Impact Index Per Article: 87.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/30/2022] [Indexed: 01/21/2023]
Abstract
Traditional risk factors for obesity and the metabolic syndrome, such as excess energy intake and lack of physical activity, cannot fully explain the high prevalence of these conditions. Insufficient sleep and circadian misalignment predispose individuals to poor metabolic health and promote weight gain and have received increased research attention in the past 10 years. Insufficient sleep is defined as sleeping less than recommended for health benefits, whereas circadian misalignment is defined as wakefulness and food intake occurring when the internal circadian system is promoting sleep. This Review discusses the impact of insufficient sleep and circadian misalignment in humans on appetite hormones (focusing on ghrelin, leptin and peptide-YY), energy expenditure, food intake and choice, and risk of obesity. Some potential strategies to reduce the adverse effects of sleep disruption on metabolic health are provided and future research priorities are highlighted. Millions of individuals worldwide do not obtain sufficient sleep for healthy metabolic functions. Furthermore, modern working patterns, lifestyles and technologies are often not conducive to adequate sleep at times when the internal physiological clock is promoting it (for example, late-night screen time, shift work and nocturnal social activities). Efforts are needed to highlight the importance of optimal sleep and circadian health in the maintenance of metabolic health and body weight regulation.
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Affiliation(s)
- Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, Ottawa, ON, Canada.
- Department of Paediatrics, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
| | - Andrew W McHill
- Sleep, Chronobiology, and Health Laboratory, School of Nursing, Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, OR, USA
| | - Rebecca C Cox
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Josiane L Broussard
- Sleep and Metabolism Laboratory, Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Caroline Dutil
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, Ottawa, ON, Canada
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Bruno G G da Costa
- Research Center in Physical Activity and Health, Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianopolis, Brazil
| | - Hugues Sampasa-Kanyinga
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, Ottawa, ON, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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20
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Joshi K, Das M, Sarma A, Arora MK, SInghal M, Kumar B. Insight on Cardiac Chronobiology and Latest Developments of Chronotherapeutic Antihypertensive Interventions for Better Clinical Outcomes. Curr Hypertens Rev 2023; 19:106-122. [PMID: 36624649 DOI: 10.2174/1573402119666230109142156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 11/10/2022] [Accepted: 11/15/2022] [Indexed: 01/11/2023]
Abstract
Cardiac circadian rhythms are an important regulator of body functions, including cardiac activities and blood pressure. Disturbance of circadian rhythm is known to trigger and aggravate various cardiovascular diseases. Thus, modulating the circadian rhythm can be used as a therapeutic approach to cardiovascular diseases. Through this work, we intend to discuss the current understanding of cardiac circadian rhythms, in terms of quantifiable parameters like BP and HR. We also elaborate on the molecular regulators and the molecular cascades along with their specific genetic aspects involved in modulating circadian rhythms, with specific reference to cardiovascular health and cardiovascular diseases. Along with this, we also presented the latest pharmacogenomic and metabolomics markers involved in chronobiological control of the cardiovascular system along with their possible utility in cardiovascular disease diagnosis and therapeutics. Finally, we reviewed the current expert opinions on chronotherapeutic approaches for utilizing the conventional as well as the new pharmacological molecules for antihypertensive chronotherapy.
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Affiliation(s)
- Kumud Joshi
- Department of Pharmacy, Lloyd Institute of Management and Technology, Greater Noida, India
| | - Madhubanti Das
- Department of Zoology, Gauhati University, Guwahati, Assam, India
| | - Anupam Sarma
- Advanced Drug Delivery Laboratory, GIPS, Girijananda Chowdhury University, Guwahati, Assam, India
| | - Mandeep K Arora
- School of Pharmacy and population health informatics, DIT University, Dehradun, India
| | - Manmohan SInghal
- School of Pharmacy and population health informatics, DIT University, Dehradun, India
| | - Bhavna Kumar
- School of Pharmacy and population health informatics, DIT University, Dehradun, India
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21
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van der Merwe C, Münch M, Kruger R. Chronotype Differences in Body Composition, Dietary Intake and Eating Behavior Outcomes: A Scoping Systematic Review. Adv Nutr 2022; 13:2357-2405. [PMID: 36041181 PMCID: PMC9776742 DOI: 10.1093/advances/nmac093] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/03/2022] [Accepted: 08/23/2022] [Indexed: 01/29/2023] Open
Abstract
The timing and nutritional composition of food intake are important zeitgebers for the biological clocks in humans. Thus, eating at an inappropriate time (e.g., during the night) may have a desynchronizing effect on the biological clocks and, in the long term, may result in adverse health outcomes (e.g., weight gain, obesity, and poor metabolic function). Being a very late or early chronotype not only determines preferred sleep and wake times but may also influence subsequent mealtimes, which may affect the circadian timing system. In recent years, an increased number of studies have examined the relation between chronotype and health outcomes, with a main focus on absolute food intake and metabolic markers and, to a lesser extent, on dietary intake distribution and eating behavior. Therefore, this review aimed to systematically determine whether chronotype indirectly affects eating behaviors, dietary intake (timing, choice, nutrients), and biomarkers leading to body composition outcomes in healthy adults. A systematic literature search on electronic databases (PubMed, CINAHL, MEDLINE, SCOPUS, Cochrane library) was performed (International Prospective Register of Systematic Reviews number: CRD42020219754). Only studies that included healthy adults (aged >18 y), classified according to chronotype and body composition profiles, using outcomes of dietary intake, eating behavior, and/or biomarkers, were considered. Of 4404 articles, 24 met the inclusion criteria. The results revealed that late [evening type (ET)] compared with early [morning type (MT)] chronotypes were more likely to be overweight/obese with poorer metabolic health. Both MT and ET had similar energy and macronutrient intakes, consuming food during their preferred sleep-wake timing: later for ET than MT. Most of the energy and macronutrient intakes were distributed toward nighttime for ET and exacerbated by unhealthy eating behaviors and unfavorable dietary intakes. These findings from our systematic review give further insight why higher rates of overweight/obesity and unhealthier metabolic biomarkers are more likely to occur in ET.
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Affiliation(s)
- Carlien van der Merwe
- School of Sport, Exercise and Nutrition, Massey University East Precinct, Albany, Auckland, New Zealand
| | - Mirjam Münch
- Centre for Chronobiology, Transfaculty Research Platform Molecular and Cognitive Neurosciences, Psychiatric Hospital of the University of Basel, Basel, Switzerland
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Rozanne Kruger
- School of Sport, Exercise and Nutrition, Massey University East Precinct, Albany, Auckland, New Zealand
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22
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Guan J, Pan X, Ruan S, He X, Xu Y, Rong X, Ou Y. Relationship between irregular diet and risk of esophageal cancer: A meta-analysis. Front Genet 2022; 13:1004665. [PMID: 36276936 PMCID: PMC9581389 DOI: 10.3389/fgene.2022.1004665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/21/2022] [Indexed: 12/02/2022] Open
Abstract
Background: Associations between irregular diet and the risk of esophageal cancer remain unclear. The current meta-analysis was performed to determine whether the presence of irregular diet increases the risk of esophageal cancer. Methods: The data from PubMed, Cochrane Libraries, and Embase up to 23 January 2022 were included in our analysis to identify studies that investigated associations between irregular diet and the risk of esophageal cancer. Summary relative risk (RR) and 95% confidence intervals (CIs) were calculated using a random-effects model. Results: Five cohort studies and one case-control study investigating associations between irregular diet and the risk of esophageal cancer were included. None of the articles demonstrated publication bias. The summary RR was 4.181 (95% CI 2.196–7.960, I2 = 66.1%, p = 0.011). In the subgroup analysis, we found significant heterogeneity in the Non-disease-causing group, nurse group and Asian group. The above three that produce heterogeneity may be the source of heterogeneity in the results of this study. Conclusion: The current meta-analysis indicates that irregular diet increase the risk of esophageal cancer. Trial registration: (https://www.crd.york.ac.uk/prospero/), (PROSPERO, CRD42022306407)
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Affiliation(s)
- Jiayun Guan
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xixin Pan
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shenghang Ruan
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xiaopeng He
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yuhao Xu
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xiaoxiang Rong
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- *Correspondence: Xiaoxiang Rong, ; Yanhua Ou,
| | - Yanhua Ou
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
- *Correspondence: Xiaoxiang Rong, ; Yanhua Ou,
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23
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Petersen MC, Gallop MR, Flores Ramos S, Zarrinpar A, Broussard JL, Chondronikola M, Chaix A, Klein S. Complex physiology and clinical implications of time-restricted eating. Physiol Rev 2022; 102:1991-2034. [PMID: 35834774 PMCID: PMC9423781 DOI: 10.1152/physrev.00006.2022] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 06/16/2022] [Accepted: 07/07/2022] [Indexed: 11/22/2022] Open
Abstract
Time-restricted eating (TRE) is a dietary intervention that limits food consumption to a specific time window each day. The effect of TRE on body weight and physiological functions has been extensively studied in rodent models, which have shown considerable therapeutic effects of TRE and important interactions among time of eating, circadian biology, and metabolic homeostasis. In contrast, it is difficult to make firm conclusions regarding the effect of TRE in people because of the heterogeneity in results, TRE regimens, and study populations. In this review, we 1) provide a background of the history of meal consumption in people and the normal physiology of eating and fasting; 2) discuss the interaction between circadian molecular metabolism and TRE; 3) integrate the results of preclinical and clinical studies that evaluated the effects of TRE on body weight and physiological functions; 4) summarize other time-related dietary interventions that have been studied in people; and 4) identify current gaps in knowledge and provide a framework for future research directions.
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Affiliation(s)
- Max C Petersen
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri
- Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, Missouri
| | - Molly R Gallop
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah
| | - Stephany Flores Ramos
- Division of Gastroenterology, University of California, San Diego, La Jolla, California
| | - Amir Zarrinpar
- Division of Gastroenterology, University of California, San Diego, La Jolla, California
- Department of Veterans Affairs San Diego Health System, La Jolla, California
| | - Josiane L Broussard
- Division of Endocrinology, Metabolism, and Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Department of Health and Exercise Science, Colorado State University, Fort Collins, Colorado
| | - Maria Chondronikola
- Departments of Nutrition and Radiology, University of California, Davis, California
- Departments of Nutrition and Dietetics, Harokopio University of Athens, Kallithea, Greece
| | - Amandine Chaix
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah
| | - Samuel Klein
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri
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24
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Langstengel J, Yaggi HK. Sleep Deficiency and Opioid Use Disorder: Trajectory, Mechanisms, and Interventions. Clin Chest Med 2022; 43:e1-e14. [PMID: 35659031 PMCID: PMC10018646 DOI: 10.1016/j.ccm.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Opioid use disorder (OUD) is a chronic and relapsing brain disease characterized by loss of control over opioid use and impairments in cognitive function, mood, pain perception, and autonomic activity. Sleep deficiency, a term that encompasses insufficient or disrupted sleep due to multiple potential causes, including sleep disorders (eg, insomnia, sleep apnea), circadian disruption (eg, delayed sleep phase and social jet lag), and poor sleep quality (eg, sleep fragmentation, impaired sleep architecture), is present in greater than 75% of patients with OUD. This article focuses on highlighting bidirectional mechanisms between OUD and sleep deficiency and points toward promising therapeutic targets.
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Affiliation(s)
- Jennifer Langstengel
- Department of Internal Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, 300 Cedar Street, PO Box 208057, New Haven, CT 06520-8057, USA
| | - H Klar Yaggi
- Department of Internal Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, 300 Cedar Street, PO Box 208057, New Haven, CT 06520-8057, USA; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
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25
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Didikoglu A, Walker B, Maharani A, Pendleton N, Canal MM, Payton A, Gibson J, Brown T. Associations between chronotype and employment status in a longitudinal study of an elderly population. Chronobiol Int 2022; 39:1118-1131. [PMID: 35535553 DOI: 10.1080/07420528.2022.2071158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Individuals with an 'evening' chronotype tend to sleep and wake later than people described to be 'morning' type if given a free choice. Since early awakening times, due to school and occupation, may be more challenging for those with evening chronotype, they are expected to be at greater risk of adverse health, occupational and educational outcomes. Our objectives are to investigate associations between chronotype and occupational, educational and health outcomes in a longitudinal cohort. We use sleep, sociodemographic and health data from The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age, 1982 through 2010. The relationship between employment and longitudinal midsleep trajectories were estimated using linear mixed models. Associations between employment status and Cornell Medical Index, Beck Depression Inventory scores, cortisol concentrations at different times of the day stratified by chronotype were estimated using regression. The relationship between chronotype, occupational success, education, and cognition were also examined using regression methods. In older adults, compared to non-employed participants, employed participants get up 0.45 hours earlier. Evening-type employed individuals had earlier midsleep time compared to their non-employed counterparts and had abnormal longitudinal trajectories with an increasing trend as they aged. Employed individuals with evening chronotype had a higher risk of depression than employed morning-types. Moreover, employed individuals with evening chronotype had a higher cortisol concentration at 14:00 h than non-employed individuals. In addition, memory score was lower in individuals with morning chronotype, however processing speed was higher in individuals with morning chronotype compared to evening. Morning-types had a higher age when they finished full time education. Relative to evening-types, those with morning chronotype were 6.5% more likely to be in a job classed as professional or intermediate. Our findings suggest that evening-types are at a disadvantage with regards to occupational, educational and health outcomes in older adults due to their vulnerability to circadian and sleep disruption.
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Affiliation(s)
- Altug Didikoglu
- Division of Neuroscience & Experimental Psychology, The University of Manchester, Manchester, UK
| | - Benjamin Walker
- Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, UK
| | - Asri Maharani
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
| | - Neil Pendleton
- Division of Neuroscience & Experimental Psychology, The University of Manchester, Manchester, UK
| | - Maria Mercè Canal
- Division of Neuroscience & Experimental Psychology, The University of Manchester, Manchester, UK
| | - Antony Payton
- Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK
| | - Jon Gibson
- Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, UK
| | - Timothy Brown
- Division of Diabetes, Endocrinology & Gastroenterology, The University of Manchester, Manchester, UK
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26
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Fowler S, Hoedt EC, Talley NJ, Keely S, Burns GL. Circadian Rhythms and Melatonin Metabolism in Patients With Disorders of Gut-Brain Interactions. Front Neurosci 2022; 16:825246. [PMID: 35356051 PMCID: PMC8959415 DOI: 10.3389/fnins.2022.825246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/08/2022] [Indexed: 12/12/2022] Open
Abstract
Circadian rhythms are cyclic patterns of physiological, behavioural and molecular events that occur over a 24-h period. They are controlled by the suprachiasmatic nucleus (SCN), the brain’s master pacemaker which governs peripheral clocks and melatonin release. While circadian systems are endogenous, there are external factors that synchronise the SCN to the ambient environment including light/dark cycles, fasting/fed state, temperature and physical activity. Circadian rhythms also provide internal temporal organisation which ensures that any internal changes that take place are centrally coordinated. Melatonin synchronises peripheral clocks to the external time and circadian rhythms are regulated by gene expression to control physiological function. Synchronisation of the circadian system with the external environment is vital for the health and survival of an organism and as circadian rhythms play a pivotal role in regulating GI physiology, disruption may lead to gastrointestinal (GI) dysfunction. Disorders of gut-brain interactions (DGBIs), also known as functional gastrointestinal disorders (FGIDs), are a group of diseases where patients experience reoccurring gastrointestinal symptoms which cannot be explained by obvious structural abnormalities and include functional dyspepsia (FD) and irritable bowel syndrome (IBS). Food timing impacts on the production of melatonin and given the correlation between food intake and symptom onset reported by patients with DGBIs, chronodisruption may be a feature of these conditions. Recent advances in immunology implicate circadian rhythms in the regulation of immune responses, and DGBI patients report fatigue and disordered sleep, suggesting circadian disruption. Further, melatonin treatment has been demonstrated to improve symptom burden in IBS patients, however, the mechanisms underlying this efficacy are unclear. Given the influence of circadian rhythms on gastrointestinal physiology and the immune system, modulation of these rhythms may be a potential therapeutic option for reducing symptom burden in these patients.
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Affiliation(s)
- Sophie Fowler
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia
- NHMRC Centre of Research Excellence in Digestive Health, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Emily C. Hoedt
- NHMRC Centre of Research Excellence in Digestive Health, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia
| | - Nicholas J. Talley
- NHMRC Centre of Research Excellence in Digestive Health, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia
| | - Simon Keely
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia
- NHMRC Centre of Research Excellence in Digestive Health, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Grace L. Burns
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia
- NHMRC Centre of Research Excellence in Digestive Health, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- *Correspondence: Grace L. Burns,
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Abstract
The modern way of life has dramatically affected our biological rhythms. Circadian rhythms, which are generated by an endogenous circadian clock, are observed in a large number of physiological functions including metabolism. Proper peripheral clock synchronization by different signals including appropriate feeding/fasting cycles is essential to coordinate and temporally gate metabolic processes. In this chapter, we emphasize the importance of nutrient sensing by peripheral clocks and highlight the major role of peripheral and central clock communication to locally regulate metabolic processes and ensure optimal energy storage and expenditure. As a consequence, changes in eating behavior and/or bedtime, as occurs upon shift work and jet lag, have direct consequences on metabolism and participate in the increasing prevalence of obesity and associated metabolic diseases such as type 2 diabetes and non-alcoholic fatty liver disease. In this setting, time-restricted feeding has been suggested as an efficient approach to ameliorate metabolic parameters and control body weight.
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Affiliation(s)
- Yasmine Sebti
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Aurore Hebras
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Benoit Pourcet
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Bart Staels
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France.
| | - Hélène Duez
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
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28
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Chen C, Yang C, Wang J, Huang X, Yu H, Li S, Li S, Zhang Z, Liu J, Yang X, Liu GP. Melatonin ameliorates cognitive deficits through improving mitophagy in a mouse model of Alzheimer's disease. J Pineal Res 2021; 71:e12774. [PMID: 34617321 DOI: 10.1111/jpi.12774] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 08/23/2021] [Accepted: 10/04/2021] [Indexed: 12/11/2022]
Abstract
While melatonin is known to have protective effects in mitochondria-related diseases, aging, and neurodegenerative disorders, there is poor understanding of the effects of melatonin treatment on mitophagy in Alzheimer's disease (AD). We used proteomic analysis to investigate the effects and underlying molecular mechanisms of oral melatonin treatment on mitophagy in the hippocampus of 4-month-old wild-type mice versus age-matched 5 × FAD mice, an animal model of AD. 5 × FAD mice showed disordered mitophagy and mitochondrial dysfunction as revealed by increased mtDNA, mitochondrial marker proteins and MDA production, decreased electron transport chain proteins and ATP levels, and co-localization of Lamp1 and Tomm20. Melatonin treatment reversed the abnormal expression of proteins in the signaling pathway of lysosomes, pathologic phagocytosis of microglia, and mitochondrial energy metabolism. Moreover, melatonin restored mitophagy by improving mitophagosome-lysosome fusion via Mcoln1, and thus, ameliorated mitochondrial functions, attenuated Aβ pathology, and improved cognition. Concurrent treatment with chloroquine and melatonin blocked the positive behavioral and biochemical effects of administration with melatonin alone. Taken in concert, these results suggest that melatonin reduces AD-related deficits in mitophagy such that the drug should be considered as a therapeutic candidate for the treatment of AD.
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Affiliation(s)
- Chongyang Chen
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chao Yang
- Cognitive Impairment Ward of Neurology Department, the Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, Guangdong, China
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jing Wang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xi Huang
- Department of Neurology, Shenzhen People's Hospital (First Affiliated Hospital of Southern University of Science and Technology), Second Clinical College, Jinan University, Shenzhen, Guangdong Province, China
| | - Haitao Yu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Shangming Li
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Shupeng Li
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Zaijun Zhang
- Institute of New Drug Research and Guangzhou, Key Laboratory of Innovative Chemical Drug Research in Cardio-cerebrovascular Diseases, Jinan University College of Pharmacy, Guangzhou, China
| | - Jianjun Liu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xifei Yang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Gong-Ping Liu
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Co-innovation Center of Neurodegeneration, Nantong University, Nantong, JS, China
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29
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Wang X, Ji X. Interactions between remote ischemic conditioning and post-stroke sleep regulation. Front Med 2021; 15:867-876. [PMID: 34811643 DOI: 10.1007/s11684-021-0887-9] [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: 03/08/2021] [Accepted: 07/31/2021] [Indexed: 12/31/2022]
Abstract
Sleep disturbances are common in patients with stroke, and sleep quality has a critical role in the onset and outcome of stroke. Poor sleep exacerbates neurological injury, impedes nerve regeneration, and elicits serious complications. Thus, exploring a therapy suitable for patients with stroke and sleep disturbances is imperative. As a multi-targeted nonpharmacological intervention, remote ischemic conditioning can reduce the ischemic size of the brain, improve the functional outcome of stroke, and increase sleep duration. Preclinical/clinical evidence showed that this method can inhibit the inflammatory response, mediate the signal transductions of adenosine, activate the efferents of the vagal nerve, and reset the circadian clocks, all of which are involved in sleep regulation. In particular, cytokines tumor necrosis factor α (TNFα) and adenosine are sleep factors, and electrical vagal nerve stimulation can improve insomnia. On the basis of the common mechanisms of remote ischemic conditioning and sleep regulation, a causal relationship was proposed between remote ischemic conditioning and post-stroke sleep quality.
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Affiliation(s)
- Xian Wang
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, 100069, China
| | - Xunming Ji
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, 100069, China. .,Beijing Key Laboratory of Hypoxia Conditioning Translational Medicine, Beijing, 100069, China.
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30
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Soliman RH, Pollock DM. Circadian Control of Sodium and Blood Pressure Regulation. Am J Hypertens 2021; 34:1130-1142. [PMID: 34166494 PMCID: PMC9526808 DOI: 10.1093/ajh/hpab100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 05/12/2021] [Accepted: 06/23/2021] [Indexed: 01/26/2023] Open
Abstract
The attention for the control of dietary risk factors involved in the development of hypertension, includes a large effort on dietary salt restrictions. Ample studies show the beneficial role of limiting dietary sodium as a lifestyle modification in the prevention and management of essential hypertension. Not until the past decade or so have studies more specifically investigated diurnal variations in renal electrolyte excretion, which led us to the hypothesis that timing of salt intake may impact cardiovascular health and blood pressure regulation. Cell autonomous molecular clocks as the name implies, function independently to maintain optimum functional rhythmicity in the face of environmental stressors such that cellular homeostasis is maintained at all times. Our understanding of mechanisms influencing diurnal patterns of sodium excretion and blood pressure has expanded with the discovery of the circadian clock genes. In this review, we discuss what is known about circadian regulation of renal sodium handling machinery and its influence on blood pressure regulation, with timing of sodium intake as a potential modulator of the kidney clock.
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Affiliation(s)
- Reham H Soliman
- Section of Cardio-renal Physiology and Medicine, Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David M Pollock
- Section of Cardio-renal Physiology and Medicine, Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Richter HG, Mendez N, Halabi D, Torres-Farfan C, Spichiger C. New integrative approaches to discovery of pathophysiological mechanisms triggered by night shift work. Chronobiol Int 2021; 39:269-284. [PMID: 34727788 DOI: 10.1080/07420528.2021.1994984] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Synchronization to periodic cues such as food/water availability and light/dark cycles is crucial for living organisms' homeostasis. Both factors have been heavily influenced by human activity, with artificial light at night (ALAN) being an evolutionary challenge imposed over roughly the last century. Evidence from studies in humans and animal models shows that overt circadian misalignment, such as that imposed to about 20% of the workforce by night shift work (NSW), negatively impinges on the internal temporal order of endocrinology, physiology, metabolism, and behavior. Moreover, NSW is often associated to mistimed feeding, with both unnatural behaviors being known to increase the risk of chronic diseases, such as eating disorders, overweight, obesity, cardiovascular, metabolic (particularly type 2 diabetes mellitus) and gastrointestinal disorders, some types of cancer, as well as mental disease including sleep disturbances, cognitive disorders, and depression. Regarding deleterious effects of ALAN on reproduction, increased risk of miscarriage, preterm delivery and low birth weight have been reported in shift-worker women. These mounting lines of evidence prompt further efforts to advance our understanding of the effects of long-term NSW on health. Emerging data suggest that NSW with or without mistimed feeding modify gene expression and functional readouts in different tissues/organs, which seem to translate into persistent cardiometabolic and endocrine dysfunction. However, this research avenue still faces multiple challenges, such as functional characterization of new experimental models more closely resembling human long-term NSW and mistimed feeding in males versus females; studying further target organs; identifying molecular changes by means of deep multi-omics analyses; and exploring biomarkers of NSW with translational medicine potential. Using high-throughput and systems biology is a relatively new approach to study NSW, aimed to generate experiments addressing new biological factors, pathways, and mechanisms, going beyond the boundaries of the circadian clock molecular machinery.
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Affiliation(s)
- Hans G Richter
- Laboratorio de Cronobiología del Desarrollo, Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile
| | - Natalia Mendez
- Laboratorio de Cronobiología del Desarrollo, Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile
| | - Diego Halabi
- Laboratorio de Cronobiología del Desarrollo, Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile.,Instituto de Odontoestomatología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile
| | - Claudia Torres-Farfan
- Laboratorio de Cronobiología del Desarrollo, Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile.,Centro Interdisciplinario de Estudios del Sistema Nervioso (CISNe), Universidad Austral de Chile, Valdivia, Chile
| | - Carlos Spichiger
- Instituto de Bioquímica y Microbiología, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile
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32
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Zhang Y, Song M, Yuan C, Chan AT, Schernhammer ES, Wolpin BM, Stampfer MJ, Meyerhardt JA, Fuchs CS, Roberts SB, Rimm EB, Willett WC, Hu FB, Giovannucci EL, Ng K. Unrestrained eating behavior and risk of mortality: A prospective cohort study. Clin Nutr 2021; 40:5419-5429. [PMID: 34653818 PMCID: PMC8571025 DOI: 10.1016/j.clnu.2021.09.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/30/2021] [Accepted: 09/10/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND & AIMS Unrestrained eating behavior has been thought to be a proxy for diet frequency, timing, and caloric intake. We investigated the association of unrestrained eating with mortality risk in the Nurses' Health Study prospectively. METHODS During follow-up (1994-2016), 21,953 deaths were documented among 63,999 eligible participants in analyses of eating anything at any time, 22,120 deaths were documented among 65,839 participants in analyses of no concern with figure change. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards models. RESULTS Eating anything at any time was associated with an increased mortality from cancer (overall HR, 95%CI: 1.07, 1.00-1.13; driven by gastrointestinal tract cancer: 1.30, 1.10-1.54) and respiratory disease (1.16, 1.05-1.29), and decreased cardiovascular disease-specific mortality (0.92, 0.86-0.99), compared to those without this behavior; however, no association was observed between this behavior and all-cause mortality (1.02, 0.99-1.05). Women who reported having no concern with figure change experienced higher risk of mortality from all-cause (1.08, 1.05-1.11), cancer (1.08, 1.02-1.14), and respiratory disease (1.18, 1.08-1.30), compared to those not reporting this behavior. Their combined effect was associated with a higher all-cause (1.09, 1.04-1.14), cancer-specific (overall: 1.18, 1.09-1.28; gastrointestinal tract cancer: 1.36, 1.08-1.71; lung cancer: 1.09; 1.04-1.14), and respiratory disease-specific (1.30, 1.13-1.50) mortality, and was inversely associated with cardiovascular disease-specific mortality (0.88, 0.80-0.98), compared to those exhibiting the opposite. CONCLUSIONS Unrestrained eating was associated with increased risk of all-cause, cancer-specific (particularly for gastrointestinal tract cancer and lung cancer), and respiratory disease-specific mortality, and decreased risk of cardiovascular disease-specific mortality.
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Affiliation(s)
- Yin Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Mingyang Song
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Chen Yuan
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eva S Schernhammer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Meir J Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Charles S Fuchs
- Department of Medical Oncology, Smilow Cancer Hospital and Yale Cancer Center, New Haven, CT, USA; Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Susan B Roberts
- USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Eric B Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
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33
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Wang QJ, Guo Y, Yao CY, Zhang KH, Li Q, Shan CH, Liu P, Wang MZ, Zhu F, An L, Tian JH, Wu ZH. Loss of diurnal behavioral rhythms and impaired lipid metabolism in growing pigs with mistimed feeding. FASEB J 2021; 35:e21972. [PMID: 34613642 DOI: 10.1096/fj.202100768r] [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: 05/11/2021] [Revised: 08/28/2021] [Accepted: 09/20/2021] [Indexed: 12/23/2022]
Abstract
The misalignment of eating time and the endogenous circadian rhythm impairs the body's ability to maintain homeostasis. Although it is well established that children and growing animals differ from adults in their energy metabolism and behavioral patterns, little is known about how mistimed feeding disturbs the diurnal rhythms of behavior and metabolism in children and growing diurnal animals. In this study, growing pigs (diurnal animal) were randomly assigned to the daytime-restricted feeding (DRF) and nighttime-restricted feeding (NRF) groups for 5 weeks. Compared with observations in the DRF group, NRF disrupted the diurnal rhythm of behavior and clock genes and lowered the serum ghrelin, dopamine, and serotonin levels during the daytime and nighttime. Microbiome analysis results suggested that NRF altered the diurnal rhythm and composition of the gut microbiota, and increased log-ratios of Catenibacterium:Butyrivibrio and Streptococcus:Butyrivibrio. Based on the serum proteome, the results further revealed that rhythmic and upregulated proteins in NRF were mainly involved in oxidative stress, lipid metabolism, immunity, and cancer biological pathways. Serum physiological indicators further confirmed that NRF decreased the concentration of melatonin and fibroblast growth factor 21 during the daytime and nighttime, increased the diurnal amplitude and concentrations of very-low-density lipoprotein cholesterol, triglyceride, and total cholesterol, and increased the apolipoprotein B/ApoA1 ratio, which is a marker of metabolic syndrome. Taken together, this study is the first to reveal that mistimed feeding disrupts the behavioral rhythms of growing pigs, reprograms gut microbiota composition, reduces the serum levels of hormones associated with fighting depression and anxiety, and increases the risk of lipid metabolic dysregulation.
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Affiliation(s)
- Qiang-Jun Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Yao Guo
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Chun-Yan Yao
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Ke-Hao Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Qin Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Chun-Hua Shan
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Peng Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Mei-Zhi Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Feng Zhu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Lei An
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Jian-Hui Tian
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
| | - Zhong-Hong Wu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, P.R. China
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34
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Luo B, Zhou X, Tang Q, Yin Y, Feng G, Li S, Chen L. Circadian rhythms affect bone reconstruction by regulating bone energy metabolism. J Transl Med 2021; 19:410. [PMID: 34579752 PMCID: PMC8477514 DOI: 10.1186/s12967-021-03068-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/02/2021] [Indexed: 01/02/2023] Open
Abstract
Metabolism is one of the most complex cellular biochemical reactions, providing energy and substances for basic activities such as cell growth and proliferation. Early studies have shown that glucose is an important nutrient in osteoblasts. In addition, amino acid metabolism and fat metabolism also play important roles in bone reconstruction. Mammalian circadian clocks regulate the circadian cycles of various physiological functions. In vertebrates, circadian rhythms are mediated by a set of central clock genes: muscle and brain ARNT like-1 (Bmal1), muscle and brain ARNT like-2 (Bmal2), circadian rhythmic motion output cycle stagnates (Clock), cryptochrome 1 (Cry1), cryptochrome2 (Cry2), period 1 (Per1), period 2 (Per2), period 3 (Per3) and neuronal PAS domain protein 2 (Npas2). Negative feedback loops, controlled at both the transcriptional and posttranslational levels, adjust these clock genes in a diurnal manner. According to the results of studies on circadian transcriptomic studies in several tissues, most rhythmic genes are expressed in a tissue-specific manner and are affected by tissue-specific circadian rhythms. The circadian rhythm regulates several activities, including energy metabolism, feeding time, sleeping, and endocrine and immune functions. It has been reported that the circadian rhythms of mammals are closely related to bone metabolism. In this review, we discuss the regulation of the circadian rhythm/circadian clock gene in osteoblasts/osteoclasts and the energy metabolism of bone, and the relationship between circadian rhythm, bone remodeling, and energy metabolism. We also discuss the therapeutic potential of regulating circadian rhythms or changing energy metabolism on bone development/bone regeneration.
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Affiliation(s)
- Beibei Luo
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Xin Zhou
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Qingming Tang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Ying Yin
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Guangxia Feng
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China
| | - Shue Li
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China.
| | - Lili Chen
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, 430022, China.
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35
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Guan D, Lazar MA. Interconnections between circadian clocks and metabolism. J Clin Invest 2021; 131:e148278. [PMID: 34338232 DOI: 10.1172/jci148278] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Circadian rhythms evolved through adaptation to daily light/dark changes in the environment; they are believed to be regulated by the core circadian clock interlocking feedback loop. Recent studies indicate that each core component executes general and specific functions in metabolism. Here, we review the current understanding of the role of these core circadian clock genes in the regulation of metabolism using various genetically modified animal models. Additionally, emerging evidence shows that exposure to environmental stimuli, such as artificial light, unbalanced diet, mistimed eating, and exercise, remodels the circadian physiological processes and causes metabolic disorders. This Review summarizes the reciprocal regulation between the circadian clock and metabolism, highlights remaining gaps in knowledge about the regulation of circadian rhythms and metabolism, and examines potential applications to human health and disease.
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Affiliation(s)
- Dongyin Guan
- Institute for Diabetes, Obesity, and Metabolism.,Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, and
| | - Mitchell A Lazar
- Institute for Diabetes, Obesity, and Metabolism.,Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, and.,Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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36
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Cogswell D, Bisesi P, Markwald RR, Cruickshank-Quinn C, Quinn K, McHill A, Melanson EL, Reisdorph N, Wright KP, Depner CM. Identification of a Preliminary Plasma Metabolome-based Biomarker for Circadian Phase in Humans. J Biol Rhythms 2021; 36:369-383. [PMID: 34182829 PMCID: PMC9134127 DOI: 10.1177/07487304211025402] [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] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Measuring individual circadian phase is important to diagnose and treat circadian rhythm sleep-wake disorders and circadian misalignment, inform chronotherapy, and advance circadian science. Initial findings using blood transcriptomics to predict the circadian phase marker dim-light melatonin onset (DLMO) show promise. Alternatively, there are limited attempts using metabolomics to predict DLMO and no known omics-based biomarkers predict dim-light melatonin offset (DLMOff). We analyzed the human plasma metabolome during adequate and insufficient sleep to predict DLMO and DLMOff using one blood sample. Sixteen (8 male/8 female) healthy participants aged 22.4 ± 4.8 years (mean ± SD) completed an in-laboratory study with 3 baseline days (9 h sleep opportunity/night), followed by a randomized cross-over protocol with 9-h adequate sleep and 5-h insufficient sleep conditions, each lasting 5 days. Blood was collected hourly during the final 24 h of each condition to independently determine DLMO and DLMOff. Blood samples collected every 4 h were analyzed by untargeted metabolomics and were randomly split into training (68%) and test (32%) sets for biomarker analyses. DLMO and DLMOff biomarker models were developed using partial least squares regression in the training set followed by performance assessments using the test set. At baseline, the DLMOff model showed the highest performance (0.91 R2 and 1.1 ± 1.1 h median absolute error ± interquartile range [MdAE ± IQR]), with significantly (p < 0.01) lower prediction error versus the DLMO model. When all conditions (baseline, 9 h, and 5 h) were included in performance analyses, the DLMO (0.60 R2; 2.2 ± 2.8 h MdAE; 44% of the samples with an error under 2 h) and DLMOff (0.62 R2; 1.8 ± 2.6 h MdAE; 51% of the samples with an error under 2 h) models were not statistically different. These findings show promise for metabolomics-based biomarkers of circadian phase and highlight the need to test biomarkers that predict multiple circadian phase markers under different physiological conditions.
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Affiliation(s)
- D Cogswell
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - P Bisesi
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - R R Markwald
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - C Cruickshank-Quinn
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - K Quinn
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - A McHill
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, Oregon
| | - E L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado
| | - N Reisdorph
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - K P Wright
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - C M Depner
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Department of Health and Kinesiology, The University of Utah, Salt Lake City, Utah
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37
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Zhang Y, Song M, Chan AT, Schernhammer ES, Wolpin BM, Stampfer MJ, Meyerhardt JA, Fuchs CS, Roberts SB, Willett WC, Hu FB, Giovannucci EL, Ng K. Unrestrained eating behavior and risk of digestive system cancers: a prospective cohort study. Am J Clin Nutr 2021; 114:1612-1624. [PMID: 34293086 PMCID: PMC8588850 DOI: 10.1093/ajcn/nqab235] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 06/18/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Unrestrained eating behavior, as a potential proxy for diet frequency, timing, and caloric intake, has been questioned as a plausible risk factor for digestive system cancers, but epidemiological evidence remains sparse. OBJECTIVES We investigated prospectively the associations between unrestrained eating behavior and digestive system cancer risk. METHODS Participants in the Nurses' Health Study who were free of cancer and reported dietary information in 1994 were followed for ≤18 y. Cox models were used to estimate HRs and 95% CIs for unrestrained eating (eating anything at any time, no concern with figure change, or both) and risk of digestive system cancers. RESULTS During follow-up, 2064 digestive system cancer cases were documented among 70,450 eligible participants in analyses of eating anything at any time, In total, 2081 digestive system cancer cases were documented among 72,468 eligible participants in analyses of no concern with figure change. In fully adjusted analyses, women with the behavior of eating anything at any time had a higher risk of overall digestive system cancer (HR: 1.22; 95% CI: 1.10, 1.35), overall gastrointestinal tract cancer ((HR: 1.33; 95% CI: 1.18, 1.50), buccal cavity and pharynx cancer (HR: 1.50; 95% CI: 1.02, 2.21), esophageal cancer (HR: 1.62; 95% CI: 1.01, 2.62), small intestine cancer (HR: 1.92; 95% CI: 1.02,3. 59), and colorectal cancer (HR: 1.20; 95% CI: 1.04, 1.38), and a non-statistically significant increased risk of stomach cancer (HR: 1.54; 95% CI: 0.96,2.48), compared with women without this behavior. No statistically significant association was observed for pancreatic cancer and liver and gallbladder cancer. The combined effect of eating anything at any time and having no concern with figure change was associated with a significantly increased risk of overall digestive system cancer (HR: 1.27; 95% CI: 1.10, 1.46), overall gastrointestinal tract cancer (HR: 1.45; 95% CI: 1.23, 1.71), and colorectal cancer (HR: 1.34; 95% CI: 1.11, 1.63), compared with women exhibiting the opposite. CONCLUSIONS Unrestrained eating behavior was independently associated with increased risk of gastrointestinal tract cancers. The potential importance of unrestrained eating behavior modification in preventing gastrointestinal tract cancers should be noted.
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Affiliation(s)
- Yin Zhang
- Address correspondence to YZ (emails: and )
| | - Mingyang Song
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Andrew T Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eva S Schernhammer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Center of Public Health, Medical University of Vienna, Vienna, Austria
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Meir J Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Charles S Fuchs
- Department of Medical Oncology, Smilow Cancer Hospital and Yale Cancer Center, New Haven, CT, USA
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Susan B Roberts
- USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Walter C Willett
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
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Kinouchi K, Mikami Y, Kanai T, Itoh H. Circadian rhythms in the tissue-specificity from metabolism to immunity; insights from omics studies. Mol Aspects Med 2021; 80:100984. [PMID: 34158177 DOI: 10.1016/j.mam.2021.100984] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/04/2021] [Accepted: 06/07/2021] [Indexed: 12/31/2022]
Abstract
Creatures on earth have the capacity to preserve homeostasis in response to changing environments. The circadian clock enables organisms to adapt to daily predictable rhythms in surrounding conditions. In mammals, circadian clocks constitute hierarchical network, where the central pacemaker in hypothalamic suprachiasmatic nucleus (SCN) serves as a time-keeping machinery and governs peripheral clocks in every other organ through descending neural and humoral factors. The central clock in SCN is reset by light, whilst peripheral clocks are entrained by feeding-fasting rhythms, emphasizing the point that temporal patterns of nutrient availability specifies peripheral clock functions. Indeed, emerging evidence revealed various types of diets or timing of food intake reprogram circadian rhythms in a tissue specific manner. This advancement in understanding of mechanisms underlying tissue specific responsiveness of circadian oscillators to nutrients at the genomic and epigenomic levels is largely owing to employment of state-of-the-art technologies. Specifically, high-throughput transcriptome, proteome, and metabolome have provided insights into how genes, proteins, and metabolites behave over circadian cycles in a given tissue under a certain dietary condition in an unbiased fashion. Additionally, combinations with specialized types of sequencing such as nascent-seq and ribosomal profiling allow us to dissect how circadian rhythms are generated or obliterated at each step of gene regulation. Importantly, chromatin immunoprecipitation followed by deep sequencing methods provide chromatin landscape in terms of regulatory mechanisms of circadian gene expression. In this review, we outline recent discoveries on temporal genomic and epigenomic regulation of circadian rhythms, discussing entrainment of the circadian rhythms by feeding as a fundamental new comprehension of metabolism and immune response, and as a potential therapeutic strategy of metabolic and inflammatory diseases.
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Affiliation(s)
- Kenichiro Kinouchi
- Division of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan.
| | - Yohei Mikami
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hiroshi Itoh
- Division of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan
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Serban KA, Pratte KA, Bowler RP. Protein Biomarkers for COPD Outcomes. Chest 2021; 159:2244-2253. [PMID: 33434499 PMCID: PMC8213963 DOI: 10.1016/j.chest.2021.01.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 12/14/2020] [Accepted: 01/01/2021] [Indexed: 12/15/2022] Open
Abstract
COPD is a clinically heterogeneous syndrome characterized by injury to airways, airspaces, and lung vasculature and usually caused by tobacco smoke and/or air pollution exposure. COPD is also independently associated with nonpulmonary comorbidities (eg, cardiovascular disease) and malignancies (eg, GI, bladder), suggesting a role for systemic injury. Since not all those with exposure develop COPD, there has been a search for plasma and lung biomarkers that confer increased cross-sectional and longitudinal risk. This search typically focuses on clinically relevant COPD outcomes such as FEV1, FEV1 decline, CT measurements of emphysema, or exacerbation frequency. The rapid advances in omics technology and the molecular phenotyping of COPD cohorts now permit large-scale evaluation of genetic, transcriptomic, proteomic, and metabolic biomarkers. This review focuses on protein biomarkers associated with clinically relevant COPD outcomes. The prototypic COPD protein biomarker is alpha-1 antitrypsin; however, this biomarker only accounts for 1% to 5% of COPD. This article reviews and summarizes the evidence for other validated biomarkers for each COPD outcome, and discusses their advantages, weaknesses, and required regulatory steps to move the biomarker from the bench into clinic. Although we highlight the emergence of many novel biomarkers (eg, fibrinogen, soluble receptor for advanced glycation, surfactant protein D, club cell secretory protein), there is increasing evidence that individual biomarkers only explain a fraction of the increased COPD risk and that multiple biomarker panels are needed to completely explain clinical variation and risk in individuals and populations.
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Affiliation(s)
- Karina A Serban
- National Jewish Health, Denver; University of Colorado, Anschutz Medical Campus, Aurora, CO.
| | | | - Russell P Bowler
- National Jewish Health, Denver; University of Colorado, Anschutz Medical Campus, Aurora, CO
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Korac B, Kalezic A, Pekovic-Vaughan V, Korac A, Jankovic A. Redox changes in obesity, metabolic syndrome, and diabetes. Redox Biol 2021; 42:101887. [PMID: 33579666 PMCID: PMC8113039 DOI: 10.1016/j.redox.2021.101887] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 01/27/2021] [Accepted: 01/29/2021] [Indexed: 12/13/2022] Open
Abstract
"Life is an instantaneous encounter of circulating matter and flowing energy" (Jean Giaja, Serbian physiologist), is one of the most elegant definitions not only of life but the relationship of redox biology and metabolism. Their evolutionary liaison has created inseparable yet dynamic homeostasis in health, which, when disrupted, leads to disease. This interconnection is even more pertinent today, in an era of increasing metabolic diseases of epidemic proportions such as obesity, metabolic syndrome, and diabetes. Despite great advances in understanding the molecular mechanisms of redox and metabolic regulation, we face significant challenges in preventing, diagnosing, and treating metabolic diseases. The etiological association and temporal overlap of these syndromes present significant challenges for the discrimination of appropriate clinical biomarkers for diagnosis, treatment, and outcome prediction. These multifactorial, multiorgan metabolic syndromes with complex etiopathogenic mechanisms are accompanied by disturbed redox equilibrium in target tissues and circulation. Free radicals and reactive species are considered both a causal factor and a consequence of disease status. Thus, determining the subtypes and levels of free radicals and reactive species, oxidatively damaged biomolecules (lipids, proteins, and nucleic acids) and antioxidant defense components as well as redox-sensitive transcription factors and fluxes of redox-dependent metabolic pathways will help define existing and establish novel redox biomarkers for stratifying metabolic diseases. This review aims to discuss diverse redox/metabolic aspects in obesity, metabolic syndrome, and diabetes, with the imperative to help establish a platform for emerging and future redox-metabolic biomarkers research in precision medicine. Future research warrants detailed investigations into the status of redox biomarkers in healthy subjects and patients, including the use of emerging 'omic' profiling technologies (e.g., redox proteomes, lipidomes, metabolomes, and transcriptomes), taking into account the influence of lifestyle (diet, physical activity, sleep, work patterns) as well as circadian ~24h fluctuations in circulatory factors and metabolites.
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Affiliation(s)
- Bato Korac
- Department of Physiology, Institute for Biological Research "Siniša Stanković"- National Institute of Republic of Serbia, University of Belgrade, 11000, Belgrade, Serbia; Center for Electron Microscopy, Faculty of Biology, University of Belgrade, 11000, Belgrade, Serbia.
| | - Andjelika Kalezic
- Department of Physiology, Institute for Biological Research "Siniša Stanković"- National Institute of Republic of Serbia, University of Belgrade, 11000, Belgrade, Serbia
| | - Vanja Pekovic-Vaughan
- Institute of Life Course and Medical Sciences, Faculty of Health and Life Sciences, William Henry Duncan Building, University of Liverpool, L7 8TX, Liverpool, UK
| | - Aleksandra Korac
- Center for Electron Microscopy, Faculty of Biology, University of Belgrade, 11000, Belgrade, Serbia
| | - Aleksandra Jankovic
- Department of Physiology, Institute for Biological Research "Siniša Stanković"- National Institute of Republic of Serbia, University of Belgrade, 11000, Belgrade, Serbia.
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41
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Koch M, Lyatoshinsky P, Mitulovic G, Bodner-Adler B, Lange S, Hanzal E, Umek W. Characteristics of the Urinary Proteome in Women with Overactive Bladder Syndrome: A Case-Control Study. J Clin Med 2021; 10:jcm10112446. [PMID: 34072980 PMCID: PMC8198757 DOI: 10.3390/jcm10112446] [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: 05/21/2021] [Revised: 05/28/2021] [Accepted: 05/29/2021] [Indexed: 11/16/2022] Open
Abstract
Despite an estimated prevalence of 13% in women, the exact etiology of non-neurogenic overactive bladder syndrome is unclear. The aim of our study was to gain a better understanding of the pathophysiology of female overactive bladder syndrome by mapping the urinary proteomic profile. We collected urine samples of 20 patients with overactive bladder syndrome and of 20 controls. We used mass spectrometric analysis for label-free quantitation, Swissprot human database for data search, Scaffold for data allocation and the Reactome Knowledgebase for final pathway enrichment analysis. We identified 1897 proteins at a false discovery rate of 1% and significance level p < 0.001. Thirty-seven significant proteins of the case group and 53 of the control group met the criteria for further pathway analysis (p < 0.0003 and Log2 (fold change) >2). Significant proteins of the overactive bladder group were, according to the 25 most relevant pathways, mainly involved in cellular response to stress and apoptosis. In the control group, significant pathways mainly concerned immunological, microbial-protective processes and tissue- elasticity processes. These findings may suggest a loss of protective factors as well as increased cellular response to stress and apoptosis in overactive bladder syndrome.
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Affiliation(s)
- Marianne Koch
- Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria; (B.B.-A.); (S.L.); (E.H.); (W.U.)
- Correspondence: ; Tel.: +43-1-404-002-9150
| | - Pavel Lyatoshinsky
- Department of Urology, Cantonal Hospital St Gallen, 9007 St Gallen, Switzerland;
| | - Goran Mitulovic
- Clinical Institute of Laboratory Medicine and Proteomics Core Facility, Medical University of Vienna, 1090 Vienna, Austria;
| | - Barbara Bodner-Adler
- Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria; (B.B.-A.); (S.L.); (E.H.); (W.U.)
| | - Sören Lange
- Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria; (B.B.-A.); (S.L.); (E.H.); (W.U.)
| | - Engelbert Hanzal
- Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria; (B.B.-A.); (S.L.); (E.H.); (W.U.)
| | - Wolfgang Umek
- Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria; (B.B.-A.); (S.L.); (E.H.); (W.U.)
- Karl Landsteiner Society, Institute for Special Gynecology and Obstetrics, 3100 St. Pölten, Austria
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Koritala BSC, Porter KI, Arshad OA, Gajula RP, Mitchell HD, Arman T, Manjanatha MG, Teeguarden J, Van Dongen HPA, McDermott JE, Gaddameedhi S. Night shift schedule causes circadian dysregulation of DNA repair genes and elevated DNA damage in humans. J Pineal Res 2021; 70:e12726. [PMID: 33638890 PMCID: PMC8011353 DOI: 10.1111/jpi.12726] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 02/22/2021] [Indexed: 12/21/2022]
Abstract
Circadian disruption has been identified as a risk factor for health disorders such as obesity, cardiovascular disease, and cancer. Although epidemiological studies suggest an increased risk of various cancers associated with circadian misalignment due to night shift work, the underlying mechanisms have yet to be elucidated. We sought to investigate the potential mechanistic role that circadian disruption of cancer hallmark pathway genes may play in the increased cancer risk in shift workers. In a controlled laboratory study, we investigated the circadian transcriptome of cancer hallmark pathway genes and associated biological pathways in circulating leukocytes obtained from healthy young adults during a 24-hour constant routine protocol following 3 days of simulated day shift or night shift. The simulated night shift schedule significantly altered the normal circadian rhythmicity of genes involved in cancer hallmark pathways. A DNA repair pathway showed significant enrichment of rhythmic genes following the simulated day shift schedule, but not following the simulated night shift schedule. In functional assessments, we demonstrated that there was an increased sensitivity to both endogenous and exogenous sources of DNA damage after exposure to simulated night shift. Our results suggest that circadian dysregulation of DNA repair may increase DNA damage and potentiate elevated cancer risk in night shift workers.
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Affiliation(s)
- Bala S. C. Koritala
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
- Division of Pediatric Otolaryngology-Head and Neck Surgery, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Kenneth I. Porter
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
| | - Osama A. Arshad
- Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Rajendra P. Gajula
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
| | - Hugh D. Mitchell
- Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Tarana Arman
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - Mugimane G. Manjanatha
- Division of Genetic and Molecular Toxicology, National Center for Toxicology Research, US Food and Drug Administration, Jefferson, AR, USA
| | - Justin Teeguarden
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
| | - Hans P. A. Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Jason E. McDermott
- Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, WA, USA
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Shobhan Gaddameedhi
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
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Cheng H, Liu Z, Wu G, Ho CT, Li D, Xie Z. Dietary compounds regulating the mammal peripheral circadian rhythms and modulating metabolic outcomes. J Funct Foods 2021. [DOI: 10.1016/j.jff.2021.104370] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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Markovic A, Mühlematter C, Beaugrand M, Camos V, Kurth S. Severe effects of the COVID-19 confinement on young children's sleep: A longitudinal study identifying risk and protective factors. J Sleep Res 2021; 30:e13314. [PMID: 33601475 PMCID: PMC7995145 DOI: 10.1111/jsr.13314] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/22/2021] [Accepted: 02/01/2021] [Indexed: 12/12/2022]
Abstract
The COVID-19 confinement has dramatically altered daily routines, causing decreased sleep quality in adults. This necessitates careful observation, as sleep plays a crucial role in brain maturation and poor sleep increases the risk of psychopathology, particularly in the young population. Through an online survey with one baseline (April 2020) and two follow-up assessments (May and June 2020), we examined the effect of confinement on sleep quality in 452 babies (0-35 months) and 412 preschool children (36-71 months) from several, mainly European, countries. An acute decrease in sleep quality was found in both groups of children. However, at follow-up assessments, this effect rebounded to the level reported for the period before the confinement. Importantly, caregiver's stress level was identified as a substantial risk factor determining lower sleep quality in both groups of children across assessments. Protective factors conserving children's sleep quality included caregiver's engagement in mindfulness techniques or childcare, and the presence of siblings and pets. In the near future, we may repeatedly experience the circumstances of abruptly enforced confinement. Our findings reveal promising pathways of action to protect young children's sleep, with which to essentially mitigate the long-term consequences of the pandemic on brain development and mental health.
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Affiliation(s)
- Andjela Markovic
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland.,Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | | | | | - Valérie Camos
- Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Salome Kurth
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland.,Department of Psychology, University of Fribourg, Fribourg, Switzerland
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Abstract
The liver is a "front line" in the homeostatic defenses against variation in nutrient intake. It orchestrates metabolic responses to feeding by secreting factors essential for maintaining metabolic homeostasis, converting carbohydrates to triglycerides for storage, and releasing lipids packaged as lipoproteins for distribution to other tissues. Between meals, it provides fuel to the body by releasing glucose produced from glucogenic precursors and ketones from fatty acids and ketogenic amino acids. Modern diets enriched in sugars and saturated fats increase lipid accumulation in hepatocytes (nonalcoholic fatty liver disease). If untreated, this can progress to liver inflammation (nonalcoholic steatohepatitis), fibrosis, cirrhosis, and hepatocellular carcinoma. Dysregulation of liver metabolism is also relatively common in modern societies. Increased hepatic glucose production underlies fasting hyperglycemia that defines type 2 diabetes, while increased production of atherogenic, large, triglyceride-rich, very low-density lipoproteins raises the risk of cardiovascular disease. Evidence has accrued of a strong connection between meal timing, the liver clock, and metabolic homeostasis. Metabolic programming of the liver transcriptome and posttranslation modifications of proteins is strongly influenced by the daily rhythms in nutrient intake governed by the circadian clock. Importantly, whereas cell-autonomous clocks have been identified in the liver, the complete circadian programing of the liver transcriptome and posttranslational modifications of essential metabolic proteins is strongly dependent on nutrient flux and circadian signals from outside the liver. The purpose of this review is to provide a basic understanding of liver circadian physiology, drawing attention to recent research on the relationships between circadian biology and liver function.
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Affiliation(s)
- Kyle S McCommis
- Department of Biochemistry & Molecular Biology, Center for Cardiovascular Research, St Louis University School of Medicine, St Louis, Missouri, USA
| | - Andrew A Butler
- Department of Pharmacology and Physiology, Center for Cardiovascular Research, The Henry and Amelia Nasrallah Center for Neuroscience, School of Medicine and the Henry and Amelia Nasrallah Center for Neuroscience, St Louis University, St Louis, Missouri, USA
- Correspondence: Andrew A. Butler, PhD, Department of Pharmacology and Physiology, Center for Cardiovascular Research, The Henry and Amelia Nasrallah Center for Neuroscience, School of Medicine and the Henry and Amelia Nasrallah Center for Neuroscience, St Louis University, 1402 S Grand Blvd, St Louis, MO 63104, USA.
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Walker WH, Walton JC, Nelson RJ. Disrupted circadian rhythms and mental health. HANDBOOK OF CLINICAL NEUROLOGY 2021; 179:259-270. [PMID: 34225967 DOI: 10.1016/b978-0-12-819975-6.00016-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
During the evolution of life, the temporal rhythm of our rotating planet was internalized in the form of circadian rhythms. Circadian rhythms are ~24h internal manifestations that drive daily patterns of physiology and behavior. These rhythms are entrained (synchronized) to the external environment, primarily by the light-dark cycle, and precisely controlled via molecular clocks located within the suprachiasmatic nucleus of the hypothalamus. Misalignment and/or disruption of circadian rhythms can have detrimental consequences for human health. Indeed, studies suggest strong associations between mental health and circadian rhythms. However, direct interactions between mood regulation and the circadian system are just beginning to be uncovered and appreciated. This chapter examines the relationship between disruption of circadian rhythms and mental health. The primary focus will be outlining the association between circadian disruption, in the form of night shift work, exposure to light at night, jet lag, and social jet lag, and psychiatric illness (i.e., anxiety, major depressive disorder, bipolar disorder, and schizophrenia). Additionally, we review animal models of disrupted circadian rhythms, which provide further evidence in support of a strong association between circadian disruption and affective responses. Finally, we discuss future directions for the field and suggest areas of study that require further investigation.
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Affiliation(s)
- William H Walker
- Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United States.
| | - James C Walton
- Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United States
| | - Randy J Nelson
- Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United States
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Touitou Y, Point S. Effects and mechanisms of action of light-emitting diodes on the human retina and internal clock. ENVIRONMENTAL RESEARCH 2020; 190:109942. [PMID: 32758719 DOI: 10.1016/j.envres.2020.109942] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/29/2020] [Accepted: 07/10/2020] [Indexed: 05/11/2023]
Abstract
White light-emitting diodes (LEDs) will likely become the most used lighting devices worldwide in the future because of their very low prices over the course of their long lifespans which can be up to several tens of thousands of hours. The expansion of LED use in both urban and domestic lighting has prompted questions regarding their possible health effects, because the light that they provide is potentially high in the harmful blue band (400-500 nm) of the visible light spectrum. Research on the potential effects of LEDs and their blue band on human health has followed three main directions: 1) examining their retinal phototoxicity; 2) examining disruption of the internal clock, i.e., an out-of-sync clock, in shift workers and night workers, including the accompanying health issues, most concerningly an increased relative risk of cancer; and 3) examining risky, inappropriate late-night use of smartphones and consoles among children and adolescents. Here, we document the recognized or potential health issues associated with LED lighting together with their underlying mechanisms of action. There is so far no evidence that LED lighting is deleterious to human retina under normal use. However, exposure to artificial light at night is a new source of pollution because it affects the circadian clock. Blue-rich light, including cold white LEDs, should be considered a new endocrine disruptor, because it affects estrogen secretion and has unhealthful consequences in women, as demonstrated to occur via a complex mechanism.
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Affiliation(s)
- Yvan Touitou
- Unité de Chronobiologie, Fondation A. de Rothschild, 75019, Paris, France.
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Wefers J, Connell NJ, Fealy CE, Andriessen C, de Wit V, van Moorsel D, Moonen-Kornips E, Jörgensen JA, Hesselink MKC, Havekes B, Hoeks J, Schrauwen P. Day-night rhythm of skeletal muscle metabolism is disturbed in older, metabolically compromised individuals. Mol Metab 2020; 41:101050. [PMID: 32659272 PMCID: PMC7415921 DOI: 10.1016/j.molmet.2020.101050] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/21/2020] [Accepted: 07/06/2020] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE Skeletal muscle mitochondrial function and energy metabolism displays day-night rhythmicity in healthy, young individuals. Twenty-four-hour rhythmicity of metabolism has been implicated in the etiology of age-related metabolic disorders. Whether day-night rhythmicity in skeletal muscle mitochondrial function and energy metabolism is altered in older, metabolically comprised humans remains unknown. METHODS Twelve male overweight volunteers with impaired glucose tolerance and insulin sensitivity stayed in a metabolic research unit for 2 days under free living conditions with regular meals. Indirect calorimetry was performed at 5 time points (8 AM, 1 PM, 6 PM, 11 PM, 4 AM), followed by a muscle biopsy. Mitochondrial oxidative capacity was measured in permeabilized muscle fibers using high-resolution respirometry. RESULTS Mitochondrial oxidative capacity did not display rhythmicity. The expression of circadian core clock genes BMAL1 and REV-ERBα showed a clear day-night rhythm (p < 0.001), peaking at the end of the waking period. Remarkably, the repressor clock gene PER2 did not show rhythmicity, whereas PER1 and PER3 were strongly rhythmic (p < 0.001). On the whole-body level, resting energy expenditure was highest in the late evening (p < 0.001). Respiratory exchange ratio did not decrease during the night, indicating metabolic inflexibility. CONCLUSIONS Mitochondrial oxidative capacity does not show a day-night rhythm in older, overweight participants with impaired glucose tolerance and insulin sensitivity. In addition, gene expression of PER2 in skeletal muscle indicates that rhythmicity of the negative feedback loop of the molecular clock is disturbed. CLINICALTRIALS. GOV ID NCT03733743.
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Affiliation(s)
- Jakob Wefers
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Niels J Connell
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Ciarán E Fealy
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Charlotte Andriessen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Vera de Wit
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Dirk van Moorsel
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, 6200 MD 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, 6200 MD Maastricht, the Netherlands
| | - Johanna A Jörgensen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Matthijs K C Hesselink
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Bas Havekes
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands; Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Joris Hoeks
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands.
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49
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Imam A, Winnebeck EC, Buchholz N, Froguel P, Bonnefond A, Solimena M, Ivanova A, Bouvier M, Plouffe B, Charpentier G, Karamitri A, Jockers R, Roenneberg T, Vetter C. Circadian, Sleep and Caloric Intake Phenotyping in Type 2 Diabetes Patients With Rare Melatonin Receptor 2 Mutations and Controls: A Pilot Study. Front Physiol 2020; 11:564140. [PMID: 33162895 PMCID: PMC7583701 DOI: 10.3389/fphys.2020.564140] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 09/07/2020] [Indexed: 01/27/2023] Open
Abstract
Background Melatonin modulates circadian rhythms in physiology and sleep initiation. Genetic variants of the MTNR1B locus, encoding the melatonin MT2 receptor, have been associated with increased type 2 diabetes (T2D) risk. Carriers of the common intronic MTNR1B rs10830963 T2D risk variant have modified sleep and circadian traits such as changes of the melatonin profile. However, it is currently unknown whether rare variants in the MT2 coding region are also associated with altered sleep and circadian phenotypes, including meal timing. Materials and Methods In this pilot study, 28 individuals [50% male; 46–82 years old; 50% with rare MT2 mutations (T2D MT2)] wore actigraphy devices and filled out daily food logs for 4 weeks. We computed circadian, sleep, and caloric intake phenotypes, including sleep duration, timing, and regularity [assessed by the Sleep Regularity Index (SRI)]; composite phase deviations (CPD) as well a sleep timing-based proxy for circadian misalignment; and caloric intake patterns throughout the day. Using regression analyses, we estimated age- and sex-adjusted mean differences (MD) and 95% confidence intervals (95%CI) between the two patient groups. Secondary analyses also compare T2D MT2 to 15 healthy controls. Results Patients with rare MT2 mutations had a later sleep onset (MD = 1.23, 95%CI = 0.42;2.04), and midsleep time (MD = 0.91, 95%CI = 0.12;1.70), slept more irregularly (MD in SRI = −8.98, 95%CI = −16.36;−1.60), had higher levels of behavioral circadian misalignment (MD in CPD = 1.21, 95%CI = 0.51;1.92), were more variable in regard to duration between first caloric intake and average sleep offset (MD = 1.08, 95%CI = 0.07;2.08), and had more caloric episodes in a 24 h day (MD = 1.08, 95%CI = 0.26;1.90), in comparison to T2D controls. Secondary analyses showed similar patterns between T2D MT2 and non-diabetic controls. Conclusion This pilot study suggests that compared to diabetic controls, T2D MT2 patients display a number of adverse sleep, circadian, and caloric intake phenotypes, including more irregular behavioral timing. A prospective study is needed to determine the role of these behavioral phenotypes in T2D onset and severity, especially in view of rare MT2 mutations.
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Affiliation(s)
- Akram Imam
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States
| | - Eva C Winnebeck
- Institute of Medical Psychology, Ludwig Maximilian University, Munich, Germany
| | - Nina Buchholz
- Institute of Medical Psychology, Ludwig Maximilian University, Munich, Germany
| | - Philippe Froguel
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France.,Department of Metabolism, Imperial College London, London, United Kingdom
| | - Amélie Bonnefond
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France.,Department of Metabolism, Imperial College London, London, United Kingdom
| | - Michele Solimena
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at the Technische Universität Dresden, Dresden, Germany
| | - Anna Ivanova
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at the Technische Universität Dresden, Dresden, Germany
| | - Michel Bouvier
- Department of Biochemistry and Molecular Medicine, Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada
| | - Bianca Plouffe
- Department of Biochemistry and Molecular Medicine, Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada.,School of Medicine, Dentistry and Biomedical Sciences, Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, United Kingdom
| | - Guillaume Charpentier
- Centre d'Études et de Recherches pour l'Intensification du Traitement du Diabète (CERITD), Sud-Francilien Hospital, Corbeil-Essonnes, France
| | | | - Ralf Jockers
- Université de Paris, Institut Cochin, INSERM, CNRS, Paris, France
| | - Till Roenneberg
- Institute of Medical Psychology, Ludwig Maximilian University, Munich, Germany
| | - Céline Vetter
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.,Institute of Medical Psychology, Ludwig Maximilian University, Munich, Germany
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50
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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: 46] [Impact Index Per Article: 11.5] [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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