1
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Janssens GE, Molenaars M, Herzog K, Grevendonk L, Remie CME, Vervaart MAT, Elfrink HL, Wever EJM, Schomakers BV, Denis SW, Waterham HR, Pras-Raves ML, van Weeghel M, van Kampen AHC, Tammaro A, Butter LM, van der Rijt S, Florquin S, Jongejan A, Moerland PD, Hoeks J, Schrauwen P, Vaz FM, Houtkooper RH. A conserved complex lipid signature marks human muscle aging and responds to short-term exercise. NATURE AGING 2024; 4:681-693. [PMID: 38609524 DOI: 10.1038/s43587-024-00595-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/22/2024] [Indexed: 04/14/2024]
Abstract
Studies in preclinical models suggest that complex lipids, such as phospholipids, play a role in the regulation of longevity. However, identification of universally conserved complex lipid changes that occur during aging, and how these respond to interventions, is lacking. Here, to comprehensively map how complex lipids change during aging, we profiled ten tissues in young versus aged mice using a lipidomics platform. Strikingly, from >1,200 unique lipids, we found a tissue-wide accumulation of bis(monoacylglycero)phosphate (BMP) during mouse aging. To investigate translational value, we assessed muscle tissue of young and older people, and found a similar marked BMP accumulation in the human aging lipidome. Furthermore, we found that a healthy-aging intervention consisting of moderate-to-vigorous exercise was able to lower BMP levels in postmenopausal female research participants. Our work implicates complex lipid biology as central to aging, identifying a conserved aging lipid signature of BMP accumulation that is modifiable upon a short-term healthy-aging intervention.
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Affiliation(s)
- Georges E Janssens
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, the Netherlands.
| | - Marte Molenaars
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, the Netherlands
| | - Katharina Herzog
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, the Netherlands
| | - Lotte Grevendonk
- Department of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands
- TI Food and Nutrition, Wageningen, the Netherlands
| | - Carlijn M E Remie
- Department of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Martin A T Vervaart
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Core Facility Metabolomics, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Hyung L Elfrink
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Core Facility Metabolomics, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Eric J M Wever
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Core Facility Metabolomics, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Epidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Bauke V Schomakers
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Core Facility Metabolomics, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Simone W Denis
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Hans R Waterham
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, the Netherlands
| | - Mia L Pras-Raves
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Core Facility Metabolomics, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Epidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Michel van Weeghel
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Core Facility Metabolomics, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Antoine H C van Kampen
- Epidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Methodology, Amsterdam, the Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, the Netherlands
| | - Alessandra Tammaro
- Pathology Department, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Infection and Immunity, Amsterdam, the Netherlands
| | - Loes M Butter
- Pathology Department, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Infection and Immunity, Amsterdam, the Netherlands
| | - Sanne van der Rijt
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, the Netherlands
- Pathology Department, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
| | - Sandrine Florquin
- Pathology Department, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Infection and Immunity, Amsterdam, the Netherlands
| | - Aldo Jongejan
- Epidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Methodology, Amsterdam, the Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, the Netherlands
| | - Perry D Moerland
- Epidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Methodology, Amsterdam, the Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, the Netherlands
| | - Joris Hoeks
- Department of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands
- TI Food and Nutrition, Wageningen, the Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands
- TI Food and Nutrition, Wageningen, the Netherlands
| | - Frédéric M Vaz
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, the Netherlands.
- Core Facility Metabolomics, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
| | - Riekelt H Houtkooper
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam, the Netherlands.
- Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands.
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2
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Sinturel F, Chera S, Brulhart-Meynet MC, Montoya JP, Stenvers DJ, Bisschop PH, Kalsbeek A, Guessous I, Jornayvaz FR, Philippe J, Brown SA, D'Angelo G, Riezman H, Dibner C. Circadian organization of lipid landscape is perturbed in type 2 diabetic patients. Cell Rep Med 2023; 4:101299. [PMID: 38016481 PMCID: PMC10772323 DOI: 10.1016/j.xcrm.2023.101299] [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: 12/20/2022] [Revised: 06/26/2023] [Accepted: 10/30/2023] [Indexed: 11/30/2023]
Abstract
Lipid homeostasis in humans follows a diurnal pattern in muscle and pancreatic islets, altered upon metabolic dysregulation. We employ tandem and liquid-chromatography mass spectrometry to investigate daily regulation of lipid metabolism in subcutaneous white adipose tissue (SAT) and serum of type 2 diabetic (T2D) and non-diabetic (ND) human volunteers (n = 12). Around 8% of ≈440 lipid metabolites exhibit diurnal rhythmicity in serum and SAT from ND and T2D subjects. The spectrum of rhythmic lipids differs between ND and T2D individuals, with the most substantial changes observed early morning, as confirmed by lipidomics in an independent cohort of ND and T2D subjects (n = 32) conducted at a single morning time point. Strikingly, metabolites identified as daily rhythmic in both serum and SAT from T2D subjects exhibit phase differences. Our study reveals massive temporal and tissue-specific alterations of human lipid homeostasis in T2D, providing essential clues for the development of lipid biomarkers in a temporal manner.
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Affiliation(s)
- Flore Sinturel
- Division of Thoracic and Endocrine Surgery, Department of Surgery, University Hospitals of Geneva, 1211 Geneva, Switzerland; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), 1211 Geneva, Switzerland
| | - Simona Chera
- Division of Thoracic and Endocrine Surgery, Department of Surgery, University Hospitals of Geneva, 1211 Geneva, Switzerland; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), 1211 Geneva, Switzerland; Department of Clinical Science, University of Bergen, 5021 Bergen, Norway
| | - Marie-Claude Brulhart-Meynet
- Division of Thoracic and Endocrine Surgery, Department of Surgery, University Hospitals of Geneva, 1211 Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Jonathan Paz Montoya
- Institute of Bioengineering, School of Life Sciences, EPFL, 1015 Lausanne, Switzerland
| | - Dirk Jan Stenvers
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, 1105 AZ, the Netherlands; Amsterdam Gastroenterology, Endocrinology and Metabolism (AGEM), Amsterdam University Medical Centers, Amsterdam, 1105 AZ, the Netherlands
| | - Peter H Bisschop
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, 1105 AZ, the Netherlands; Amsterdam Gastroenterology, Endocrinology and Metabolism (AGEM), Amsterdam University Medical Centers, Amsterdam, 1105 AZ, the Netherlands
| | - Andries Kalsbeek
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, 1105 AZ, the Netherlands; Amsterdam Gastroenterology, Endocrinology and Metabolism (AGEM), Amsterdam University Medical Centers, Amsterdam, 1105 AZ, the Netherlands; Laboratory for Endocrinology, Department of Clinical Chemistry, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, 1105 AZ, the Netherlands; Netherlands Institute for Neuroscience (NIN), Royal Dutch Academy of Arts and Sciences (KNAW), Amsterdam, 1105 BA, the Netherlands
| | - Idris Guessous
- Department and Division of Primary Care Medicine, University Hospitals of Geneva, 1211 Geneva, Switzerland
| | - François R Jornayvaz
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Division of Endocrinology, Diabetes, Nutrition, and Therapeutic Patient Education, Department of Medicine, University Hospitals of Geneva, 1211 Geneva, Switzerland
| | - Jacques Philippe
- Division of Endocrinology, Diabetes, Nutrition, and Therapeutic Patient Education, Department of Medicine, University Hospitals of Geneva, 1211 Geneva, Switzerland
| | - Steven A Brown
- Institute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, Switzerland
| | - Giovanni D'Angelo
- Institute of Bioengineering, School of Life Sciences, EPFL, 1015 Lausanne, Switzerland
| | - Howard Riezman
- Department of Biochemistry, Faculty of Science, NCCR Chemical Biology, University of Geneva, 1211 Geneva, Switzerland
| | - Charna Dibner
- Division of Thoracic and Endocrine Surgery, Department of Surgery, University Hospitals of Geneva, 1211 Geneva, Switzerland; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), 1211 Geneva, Switzerland.
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3
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Zhang J, Qiu Z, Zhang Y, Wang G, Hao H. Intracellular spatiotemporal metabolism in connection to target engagement. Adv Drug Deliv Rev 2023; 200:115024. [PMID: 37516411 DOI: 10.1016/j.addr.2023.115024] [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: 04/25/2023] [Revised: 07/05/2023] [Accepted: 07/26/2023] [Indexed: 07/31/2023]
Abstract
The metabolism in eukaryotic cells is a highly ordered system involving various cellular compartments, which fluctuates based on physiological rhythms. Organelles, as the smallest independent sub-cell unit, are important contributors to cell metabolism and drug metabolism, collectively designated intracellular metabolism. However, disruption of intracellular spatiotemporal metabolism can lead to disease development and progression, as well as drug treatment interference. In this review, we systematically discuss spatiotemporal metabolism in cells and cell subpopulations. In particular, we focused on metabolism compartmentalization and physiological rhythms, including the variation and regulation of metabolic enzymes, metabolic pathways, and metabolites. Additionally, the intricate relationship among intracellular spatiotemporal metabolism, metabolism-related diseases, and drug therapy/toxicity has been discussed. Finally, approaches and strategies for intracellular spatiotemporal metabolism analysis and potential target identification are introduced, along with examples of potential new drug design based on this.
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Affiliation(s)
- Jingwei Zhang
- State Key Laboratory of Natural Medicines, Key Laboratory of Drug Metabolism & Pharmacokinetics, China Pharmaceutical University, Nanjing, China
| | - Zhixia Qiu
- Center of Drug Metabolism and Pharmacokinetics, School of Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yongjie Zhang
- Clinical Pharmacokinetics Laboratory, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Guangji Wang
- State Key Laboratory of Natural Medicines, Key Laboratory of Drug Metabolism & Pharmacokinetics, China Pharmaceutical University, Nanjing, China; Jiangsu Provincial Key Laboratory of Drug Metabolism and Pharmacokinetics, Research Unit of PK-PD Based Bioactive Components and Pharmacodynamic Target Discovery of Natural Medicine of Chinese Academy of Medical Sciences, China Pharmaceutical University, Nanjing, China.
| | - Haiping Hao
- State Key Laboratory of Natural Medicines, Key Laboratory of Drug Metabolism & Pharmacokinetics, China Pharmaceutical University, Nanjing, China.
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4
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Petrenko V, Sinturel F, Riezman H, Dibner C. Lipid metabolism around the body clocks. Prog Lipid Res 2023; 91:101235. [PMID: 37187314 DOI: 10.1016/j.plipres.2023.101235] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/06/2023] [Accepted: 05/12/2023] [Indexed: 05/17/2023]
Abstract
Lipids play important roles in energy metabolism along with diverse aspects of biological membrane structure, signaling and other functions. Perturbations of lipid metabolism are responsible for the development of various pathologies comprising metabolic syndrome, obesity, and type 2 diabetes. Accumulating evidence suggests that circadian oscillators, operative in most cells of our body, coordinate temporal aspects of lipid homeostasis. In this review we summarize current knowledge on the circadian regulation of lipid digestion, absorption, transportation, biosynthesis, catabolism, and storage. Specifically, we focus on the molecular interactions between functional clockwork and biosynthetic pathways of major lipid classes comprising cholesterol, fatty acids, triacylglycerols, glycerophospholipids, glycosphingolipids, and sphingomyelins. A growing body of epidemiological studies associate a socially imposed circadian misalignment common in modern society with growing incidence of metabolic disorders, however the disruption of lipid metabolism rhythms in this connection has only been recently revealed. Here, we highlight recent studies that unravel the mechanistic link between intracellular molecular clocks, lipid homeostasis and development of metabolic diseases based on animal models of clock disruption and on innovative translational studies in humans. We also discuss the perspectives of manipulating circadian oscillators as a potentially powerful approach for preventing and managing metabolic disorders in human patients.
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Affiliation(s)
- Volodymyr Petrenko
- Thoracic and Endocrine Surgery Division, Department of Surgery, University Hospital of Geneva, Geneva 1211, Switzerland; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva 1211, Switzerland
| | - Flore Sinturel
- Thoracic and Endocrine Surgery Division, Department of Surgery, University Hospital of Geneva, Geneva 1211, Switzerland; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva 1211, Switzerland
| | - Howard Riezman
- Department of Biochemistry, Faculty of Science, NCCR Chemical Biology, University of Geneva, Geneva 1211, Switzerland
| | - Charna Dibner
- Thoracic and Endocrine Surgery Division, Department of Surgery, University Hospital of Geneva, Geneva 1211, Switzerland; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva 1211, Switzerland.
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5
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Pivovarova-Ramich O, Zimmermann HG, Paul F. Multiple sclerosis and circadian rhythms: Can diet act as a treatment? Acta Physiol (Oxf) 2023; 237:e13939. [PMID: 36700353 DOI: 10.1111/apha.13939] [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: 09/17/2022] [Revised: 12/15/2022] [Accepted: 01/24/2023] [Indexed: 01/27/2023]
Abstract
Multiple sclerosis (MS) is an autoimmune inflammatory and neurodegenerative disease of the central nervous system (CNS) with increasing incidence and prevalence. MS is associated with inflammatory and metabolic disturbances that, as preliminary human and animal data suggest, might be mediated by disruption of circadian rhythmicity. Nutrition habits can influence the risk for MS, and dietary interventions may be effective in modulating MS disease course. Chronotherapeutic approaches such as time-restricted eating (TRE) may benefit people with MS by stabilizing the circadian clock and restoring immunological and metabolic rhythms, thus potentially counteracting disease progression. This review provides a summary of selected studies on dietary intervention in MS, circadian rhythms, and their disruption in MS, including clock gene variations, circadian hormones, and retino-hypothalamic tract changes. Furthermore, we present studies that reported diurnal variations in MS, which might result from circadian disruption. And lastly, we suggest how chrononutritive approaches like TRE might counteract MS disease activity.
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Affiliation(s)
- Olga Pivovarova-Ramich
- Research Group Molecular Nutritional Medicine, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Department of Endocrinology, Diabetes and Nutrition, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Hanna Gwendolyn Zimmermann
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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6
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Kervezee L, Koshy A, Cermakian N, Boivin DB. The Effect of Night Shifts on 24-h Rhythms in the Urinary Metabolome of Police Officers on a Rotating Work Schedule. J Biol Rhythms 2023; 38:64-76. [PMID: 36346168 PMCID: PMC9902972 DOI: 10.1177/07487304221132088] [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] [Indexed: 11/11/2022]
Abstract
Shift workers face an increased risk of metabolic health problems, but the direct metabolic response to working nights is not fully understood. The aim of this study was to investigate the effect of night shifts on the 24-h urinary metabolome of shift workers. Eleven police officers working rotating shifts completed two 24-h laboratory visits that took place before and after they worked 7 consecutive nights. Sleep and meals were scheduled on a day schedule in the first visit and then on a night schedule (i.e., sleep and meals shifted by approximately 12 h) in the second visit. Targeted metabolomic analysis was performed on urine samples collected throughout these laboratory visits. Differential rhythmicity analysis was used to compare 24-h rhythms in urinary metabolites in both conditions. Our results show that on the day schedule, 24-h rhythms are present in the urinary levels of the majority of metabolites, but that this is significantly reduced on the night schedule, partly due to loss of organic acid rhythmicity. Furthermore, misalignment of 24-h metabolite rhythms with the shifted behavioral cycles in the night schedule was observed in more than half of the metabolites that were rhythmic in both conditions (all acylcarnitines). These results show that working nights alters the daily rhythms of the urinary metabolome in rotating shift workers, with the most notable impact observed for acylcarnitines and organic acids, 2 metabolite classes involved in mitochondrial function. Further research is warranted to study how these changes relate to the increased metabolic risks associated with shift work.
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Affiliation(s)
- Laura Kervezee
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada,Laboratory of Molecular Chronobiology, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada,Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Anna Koshy
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada,Laboratory of Molecular Chronobiology, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Nicolas Cermakian
- Laboratory of Molecular Chronobiology, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada,Nicolas Cermakian, Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 LaSalle Boulevard, Montreal, QC H4H 1R3, Canada; e-mail:
| | - Diane B. Boivin
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada,Diane B. Boivin, Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 LaSalle Boulevard, Montreal, QC H4H 1R3, Canada; e-mail:
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7
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Harmsen JF, van Weeghel M, Parsons R, Janssens GE, Wefers J, van Moorsel D, Hansen J, Hoeks J, Hesselink MKC, Houtkooper RH, Schrauwen P. Divergent remodeling of the skeletal muscle metabolome over 24 h between young, healthy men and older, metabolically compromised men. Cell Rep 2022; 41:111786. [PMID: 36516749 DOI: 10.1016/j.celrep.2022.111786] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 07/28/2022] [Accepted: 11/15/2022] [Indexed: 12/15/2022] Open
Abstract
24 h whole-body substrate metabolism and the circadian clock within skeletal muscle are both compromised upon metabolic disease in humans. Here, we assessed the 24 h muscle metabolome by serial muscle sampling performed under 24 h real-life conditions in young, healthy (YH) men versus older, metabolically compromised (OMC) men. We find that metabolites associated with the initial steps of glycolysis and hexosamine biosynthesis are higher in OMC men around the clock, whereas metabolites associated with glutamine-alpha-ketoglutarate, ketone, and redox metabolism are lower in OMC men. The night period shows the largest number of differently expressed metabolites. Both groups demonstrate 24 h rhythmicity in half of the metabolome, but rhythmic metabolites only partially overlap. Specific metabolites are only rhythmic in YH men (adenosine), phase shifted in OMC men (cis-aconitate, flavin adenine dinucleotide [FAD], and uridine diphosphate [UDP]), or have a reduced 24 h amplitude in OMC men (hydroxybutyrate and hippuric acid). Our data highlight the plasticity of the skeletal muscle metabolome over 24 h and large divergence across the metabolic health spectrum.
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Affiliation(s)
- Jan-Frieder Harmsen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Michel van Weeghel
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands; Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Rex Parsons
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Georges E Janssens
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Jakob Wefers
- Department of Nutrition and Movement Sciences, NUTRIM School of 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
| | - Jan Hansen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Joris Hoeks
- Department of Nutrition and Movement Sciences, NUTRIM School of 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 of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Riekelt H Houtkooper
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands.
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8
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op den Kamp YJ, Gemmink A, de Ligt M, Dautzenberg B, Kornips E, Jorgensen JA, Schaart G, Esterline R, Pava DA, Hoeks J, Schrauwen-Hinderling VB, Kersten S, Havekes B, Koves TR, Muoio DM, Hesselink MK, Oscarsson J, Phielix E, Schrauwen P. Effects of SGLT2 inhibitor dapagliflozin in patients with type 2 diabetes on skeletal muscle cellular metabolism. Mol Metab 2022; 66:101620. [PMID: 36280113 PMCID: PMC9636471 DOI: 10.1016/j.molmet.2022.101620] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE SGLT2 inhibitors increase urinary glucose excretion and have beneficial effects on cardiovascular and renal outcomes; the underlying mechanism may be metabolic adaptations due to urinary glucose loss. Here, we investigated the cellular and molecular effects of 5 weeks of dapagliflozin treatment on skeletal muscle metabolism in type 2 diabetes patients. METHODS Twenty-six type 2 diabetes mellitus patients were randomized to a 5-week double-blind, cross-over study with 6-8-week wash-out. Skeletal muscle acetylcarnitine levels, intramyocellular lipid (IMCL) content and phosphocreatine (PCr) recovery rate were measured by magnetic resonance spectroscopy (MRS). Ex vivo mitochondrial respiration was measured in skeletal muscle fibers using high resolution respirometry. Intramyocellular lipid droplet and mitochondrial network dynamics were investigated using confocal microscopy. Skeletal muscle levels of acylcarnitines, amino acids and TCA cycle intermediates were measured. Expression of genes involved in fatty acid metabolism were investigated. RESULTS Mitochondrial function, mitochondrial network integrity and citrate synthase and carnitine acetyltransferase activities in skeletal muscle were unaltered after dapagliflozin treatment. Dapagliflozin treatment increased intramyocellular lipid content (0.060 (0.011, 0.110) %, p = 0.019). Myocellular lipid droplets increased in size (0.03 μm2 (0.01-0.06), p < 0.05) and number (0.003 μm-2 (-0.001-0.007), p = 0.09) upon dapagliflozin treatment. CPT1A, CPT1B and malonyl CoA-decarboxylase mRNA expression was increased by dapagliflozin. Fasting acylcarnitine species and C4-OH carnitine levels (0.4704 (0.1246, 0.8162) pmoles∗mg tissue-1, p < 0.001) in skeletal muscle were higher after dapagliflozin treatment, while acetylcarnitine levels were lower (-40.0774 (-64.4766, -15.6782) pmoles∗mg tissue-1, p < 0.001). Fasting levels of several amino acids, succinate, alpha-ketoglutarate and lactate in skeletal muscle were significantly lower after dapagliflozin treatment. CONCLUSION Dapagliflozin treatment for 5 weeks leads to adaptive changes in skeletal muscle substrate metabolism favoring metabolism of fatty acid and ketone bodies and reduced glycolytic flux. The trial is registered with ClinicalTrials.gov, number NCT03338855.
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Affiliation(s)
| | - Anne Gemmink
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | - Marlies de Ligt
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | - Bas Dautzenberg
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | - Esther Kornips
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | | | - Gert Schaart
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | | | - Diego A. Pava
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | - Joris Hoeks
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | - Vera B. Schrauwen-Hinderling
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands,Departments of Radiology and Nuclear Medicine, Maastricht, the Netherlands
| | - Sander Kersten
- Division of Human Nutrition and Health, Wageningen University, the Netherlands
| | - Bas Havekes
- Departments of Internal Medicine, Division of Endocrinology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, the Netherlands
| | - Timothy R. Koves
- Duke Molecular Physiology Institute and the Sarah W. Stedman Nutrition and Metabolism Center, Department of Medicine, Duke University, Durham, NC 27704, USA
| | - Deborah M. Muoio
- Duke Molecular Physiology Institute and the Sarah W. Stedman Nutrition and Metabolism Center, Department of Medicine, Duke University, Durham, NC 27704, USA
| | | | - Jan Oscarsson
- BioPharmaceuticals R&D, Late-Stage Development, Cardiovascular, Renal and Metabolism, AstraZeneca, Gothenburg, Sweden
| | - Esther Phielix
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands
| | - Patrick Schrauwen
- Departments of Nutrition and Movement Sciences, Maastricht, the Netherlands,Corresponding author. Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, the Netherlands.
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9
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Petrenko V, Sinturel F, Loizides-Mangold U, Montoya JP, Chera S, Riezman H, Dibner C. Type 2 diabetes disrupts circadian orchestration of lipid metabolism and membrane fluidity in human pancreatic islets. PLoS Biol 2022; 20:e3001725. [PMID: 35921354 PMCID: PMC9348689 DOI: 10.1371/journal.pbio.3001725] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 06/24/2022] [Indexed: 11/18/2022] Open
Abstract
Recent evidence suggests that circadian clocks ensure temporal orchestration of lipid homeostasis and play a role in pathophysiology of metabolic diseases in humans, including type 2 diabetes (T2D). Nevertheless, circadian regulation of lipid metabolism in human pancreatic islets has not been explored. Employing lipidomic analyses, we conducted temporal profiling in human pancreatic islets derived from 10 nondiabetic (ND) and 6 T2D donors. Among 329 detected lipid species across 8 major lipid classes, 5% exhibited circadian rhythmicity in ND human islets synchronized in vitro. Two-time point-based lipidomic analyses in T2D human islets revealed global and temporal alterations in phospho- and sphingolipids. Key enzymes regulating turnover of sphingolipids were rhythmically expressed in ND islets and exhibited altered levels in ND islets bearing disrupted clocks and in T2D islets. Strikingly, cellular membrane fluidity, measured by a Nile Red derivative NR12S, was reduced in plasma membrane of T2D diabetic human islets, in ND donors’ islets with disrupted circadian clockwork, or treated with sphingolipid pathway modulators. Moreover, inhibiting the glycosphingolipid biosynthesis led to strong reduction of insulin secretion triggered by glucose or KCl, whereas inhibiting earlier steps of de novo ceramide synthesis resulted in milder inhibitory effect on insulin secretion by ND islets. Our data suggest that circadian clocks operative in human pancreatic islets are required for temporal orchestration of lipid homeostasis, and that perturbation of temporal regulation of the islet lipid metabolism upon T2D leads to altered insulin secretion and membrane fluidity. These phenotypes were recapitulated in ND islets bearing disrupted clocks.
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Affiliation(s)
- Volodymyr Petrenko
- Thoracic and Endocrine Surgery Division, Department of Surgery, 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), Geneva, Switzerland
| | - Flore Sinturel
- Thoracic and Endocrine Surgery Division, Department of Surgery, 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), Geneva, Switzerland
| | - Ursula Loizides-Mangold
- Thoracic and Endocrine Surgery Division, Department of Surgery, 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), Geneva, Switzerland
| | - Jonathan Paz Montoya
- Proteomics Core Facility, EPFL, Lausanne, Switzerland
- Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Simona Chera
- Thoracic and Endocrine Surgery Division, Department of Surgery, 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), Geneva, Switzerland
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Howard Riezman
- Department of Biochemistry, Faculty of Science, NCCR Chemical Biology, University of Geneva, Geneva, Switzerland
| | - Charna Dibner
- Thoracic and Endocrine Surgery Division, Department of Surgery, 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), Geneva, Switzerland
- * E-mail:
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10
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Kouw IW, Heilbronn LK, van Zanten AR. Intermittent feeding and circadian rhythm in critical illness. Curr Opin Crit Care 2022; 28:381-388. [PMID: 35797531 PMCID: PMC9594144 DOI: 10.1097/mcc.0000000000000960] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Circadian rhythms, i.e., periodic oscillations in internal biological processes, modulate metabolic processes such as hormonal signalling, nutrient absorption, and xenobiotic detoxification. Meal timing is a strong entraining cue for peripheral clocks in various organs, and eating out of circadian phases can impair glucose, gastrointestinal, and muscle metabolism. Sleep/wake cycles and circadian rhythms are extremely disrupted during critical illness. Timing of nutritional support may help preserve circadian rhythms and improve post-Intensive Care Unit (ICU) recovery. This review summarises circadian disruptors during ICU admission and evaluates the potential benefits of intermittent feeding on metabolism and circadian rhythms. RECENT FINDINGS Rhythmic expression of core clock genes becomes rapidly disturbed during critical illness and remains disturbed for weeks. Intermittent, bolus, and cyclic enteral feeding have been directly compared to routine continuous feeding, yet no benefits on glycaemic control, gastrointestinal tolerance, and muscle mass have been observed and impacts of circadian clocks remain untested. SUMMARY Aligning timing of nutritional intake, physical activity, and/or medication with circadian rhythms are potential strategies to reset peripheral circadian rhythms and may enhance ICU recovery but is not proven beneficial yet. Therefore, selecting intermittent feeding over continuous feeding must be balanced against the pros and cons of clinical practice.
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Affiliation(s)
- Imre W.K. Kouw
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
- Intensive Care Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Leonie K. Heilbronn
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, South Australia, Australia
- Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Arthur R.H. van Zanten
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
- Department of Intensive Care Medicine, Gelderse Vallei Hospital, Ede, The Netherlands
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11
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Li P, He L, Lan Y, Fang J, Fan Z, Li Y. Intrauterine Growth Restriction Induces Adulthood Chronic Metabolic Disorder in Cardiac and Skeletal Muscles. Front Nutr 2022; 9:929943. [PMID: 35938117 PMCID: PMC9354130 DOI: 10.3389/fnut.2022.929943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/21/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Although population-based studies of intrauterine growth restriction (IUGR) demonstrated a series of postnatal complications, several studies identified that IUGR could definitely cause dysfunction of metabolism of cardiac and skeletal muscles in the perinatal period and early life. However, it is still unknown if such metabolic alternation would remain for long term or not, and whether normal protein diet administration postnatally would protect the IUGR offsprings from a “catch-up growth” and be able to reverse the premature metabolic remodeling. Materials and Methods We established an IUGR rat model with pregnant rats and a low-protein diet, and the developmental phenotypes had been carefully recorded. The cardiac and skeletal muscles had been collected to undergo RNA-seq. Results According to a series of comparisons of transcriptomes among various developmental processes, programmed metabolic dysfunction and chronic inflammation activity had been identified by transcriptome sequencing in IUGR offsprings, even such rats presented a normal developmental curve or body weight after normal postnatal diet feeding. Conclusion The data revealed that IUGR had a significant adverse impact on long-term cardiovascular function in rats, even they exhibit good nutritional status. So that, the fetal stage adverse events would encode the lifelong disease risk, which could hide in young age. This study remaindered that the research on long-term molecular changes is important, and only nutrition improvement would not totally reverse the damage of IUGR.
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Affiliation(s)
- Ping Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Pediatrics, West China Second University Hospital, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Lewei He
- Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yue Lan
- Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Jie Fang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Pediatrics, West China Second University Hospital, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Jie Fang,
| | - Zhenxin Fan
- Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
- *Correspondence: Zhenxin Fan,
| | - Yifei Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Pediatrics, West China Second University Hospital, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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12
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Martin C, Johnston JD, Henslee EA, van der Veen DR, Labeed FH. In vitro
characterisation of murine pre‐adipose nucleated cells reveals electrophysiological cycles associated with biological clocks. Electrophoresis 2022; 43:1337-1346. [PMID: 35543378 PMCID: PMC9323421 DOI: 10.1002/elps.202100308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 03/05/2022] [Accepted: 03/10/2022] [Indexed: 11/12/2022]
Affiliation(s)
- Capucine Martin
- Chronobiology Section School of Biosciences and Medicine Faculty of Health and Medical Sciences University of Surrey Guildford UK
| | - Jonathan D. Johnston
- Chronobiology Section School of Biosciences and Medicine Faculty of Health and Medical Sciences University of Surrey Guildford UK
| | - Erin A. Henslee
- Centre for Biomedical Engineering School of Mechanical Engineering Sciences Faculty of Engineering and Physical Sciences University of Surrey Guildford UK
- Department of Engineering Wake Forest University Winston‐Salem North Carolina USA
| | - Daan R. van der Veen
- Chronobiology Section School of Biosciences and Medicine Faculty of Health and Medical Sciences University of Surrey Guildford UK
| | - Fatima H. Labeed
- Centre for Biomedical Engineering School of Mechanical Engineering Sciences Faculty of Engineering and Physical Sciences University of Surrey Guildford UK
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13
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Circadian rhythm of lipid metabolism. Biochem Soc Trans 2022; 50:1191-1204. [PMID: 35604112 DOI: 10.1042/bst20210508] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/29/2022] [Accepted: 05/04/2022] [Indexed: 02/07/2023]
Abstract
Lipids comprise a diverse group of metabolites that are indispensable as energy storage molecules, cellular membrane components and mediators of inter- and intra-cellular signaling processes. Lipid homeostasis plays a crucial role in maintaining metabolic health in mammals including human beings. A growing body of evidence suggests that the circadian clock system ensures temporal orchestration of lipid homeostasis, and that perturbation of such diurnal regulation leads to the development of metabolic disorders comprising obesity and type 2 diabetes. In view of the emerging role of circadian regulation in maintaining lipid homeostasis, in this review, we summarize the current knowledge on lipid metabolic pathways controlled by the mammalian circadian system. Furthermore, we review the emerging connection between the development of human metabolic diseases and changes in lipid metabolites that belong to major classes of lipids. Finally, we highlight the mechanisms underlying circadian organization of lipid metabolic rhythms upon the physiological situation, and the consequences of circadian clock dysfunction for dysregulation of lipid metabolism.
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14
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Cheng Q, Lu C, Qian R. The circadian clock regulates metabolic responses to physical exercise. Chronobiol Int 2022; 39:907-917. [PMID: 35282722 DOI: 10.1080/07420528.2022.2050384] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
It has been proposed for years that physical exercise ameliorates metabolic diseases. Optimal exercise timing in humans and mammals has indicated that circadian clocks play a vital role in exercise and body metabolism. Skeletal muscle metabolism exhibits a robust circadian rhythm under the control of the suprachiasmatic nucleus of the hypothalamus. Clock genes also control the development, differentiation, and function of skeletal muscles. In this review, we aimed to clarify the relationship between exercise, skeletal muscles, and the circadian clock. Health benefits can be attained by the scheduling of exercise at the best circadian time. Exercise therapy for metabolic diseases and cardiovascular health is a key adjuvant method. This review highlights the importance of exercise timing in maintaining healthy metabolism and circadian clocks.
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Affiliation(s)
- Qianyun Cheng
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Chao Lu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Ruizhe Qian
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, China
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15
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Smith HA, Betts JA. Nutrient timing and metabolic regulation symposium review from "Novel dietary approaches to appetite regulation, health and performance (2021)". J Physiol 2022; 600:1299-1312. [PMID: 35038774 PMCID: PMC9305539 DOI: 10.1113/jp280756] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 12/09/2021] [Indexed: 11/19/2022] Open
Abstract
Daily (circadian) rhythms coordinate our physiology and behaviour with regular environmental changes. Molecular clocks in peripheral tissues (e.g. liver, skeletal muscle and adipose) give rise to rhythms in macronutrient metabolism, appetite regulation and the components of energy balance such that our bodies can align the periodic delivery of nutrients with ongoing metabolic requirements. The timing of meals both in absolute terms (i.e. relative to clock time) and in relative terms (i.e. relative to other daily events) is therefore relevant to metabolism and health. Experimental manipulation of feeding–fasting cycles can advance understanding of the effect of absolute and relative timing of meals on metabolism and health. Such studies have extended the overnight fast by regular breakfast omission and revealed that morning fasting can alter the metabolic response to subsequent meals later in the day, whilst also eliciting compensatory behavioural responses (i.e. reduced physical activity). Similarly, restricting energy intake via alternate‐day fasting also has the potential to elicit a compensatory reduction in physical activity, and so can undermine weight‐loss efforts (i.e. to preserve body fat stores). Interrupting the usual overnight fast (and therefore also the usual sleep cycle) by nocturnal feeding has also been examined and further research is needed to understand the importance of this period for either nutritional intervention or nutritional withdrawal. In summary, it is important for dietary guidelines for human health to consider nutrient timing (i.e. when we eat) alongside the conventional focus on nutrient quantity and nutrient quality (i.e. how much we eat and what we eat).
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Affiliation(s)
- Harry A Smith
- Centre for Nutrition Exercise and Metabolism, Department for Health, University of Bath, Bath, BA2 7AY, United Kingdom
| | - James A Betts
- Centre for Nutrition Exercise and Metabolism, Department for Health, University of Bath, Bath, BA2 7AY, United Kingdom
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16
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de Goede P, Wüst RCI, Schomakers BV, Denis S, Vaz FM, Pras-Raves ML, van Weeghel M, Yi CX, Kalsbeek A, Houtkooper RH. Time-restricted feeding during the inactive phase abolishes the daily rhythm in mitochondrial respiration in rat skeletal muscle. FASEB J 2022; 36:e22133. [PMID: 35032416 DOI: 10.1096/fj.202100707r] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 11/26/2021] [Accepted: 12/17/2021] [Indexed: 01/06/2023]
Abstract
Shift-workers show an increased incidence of type 2 diabetes mellitus (T2DM). A possible mechanism is the disruption of the circadian timing of glucose homeostasis. Skeletal muscle mitochondrial function is modulated by the molecular clock. We used time-restricted feeding (TRF) during the inactive phase to investigate how mistimed feeding affects muscle mitochondrial metabolism. Rats on an ad libitum (AL) diet were compared to those that could eat only during the light (inactive) or dark (active) phase. Mitochondrial respiration, metabolic gene expressions, and metabolite concentrations were determined in the soleus muscle. Rats on AL feeding or dark-fed TRF showed a clear daily rhythm in muscle mitochondrial respiration. This rhythm in mitochondrial oxidative phosphorylation capacity was abolished in light-fed TRF animals and overall 24h respiration was lower. The expression of several genes involved in mitochondrial biogenesis and the fission/fusion machinery was altered in light-fed animals. Metabolomics analysis indicated that light-fed animals had lost rhythmic levels of α-ketoglutarate and citric acid. Contrastingly, lipidomics showed that light-fed animals abundantly gained rhythmicity in levels of triglycerides. Furthermore, while the RER shifted entirely with the food intake in the light-fed animals, many measured metabolic parameters (e.g., activity and mitochondrial respiration) did not strictly align with the shifted timing of food intake, resulting in a mismatch between expected metabolic supply/demand (as dictated by the circadian timing system and light/dark-cycle) and the actual metabolic supply/demand (as dictated by the timing of food intake). These data suggest that shift-work impairs mitochondrial metabolism and causes metabolic inflexibility, which can predispose to T2DM.
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Affiliation(s)
- Paul de Goede
- Laboratory of Endocrinology, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Hypothalamic Integration Mechanisms Group, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Rob C I Wüst
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bauke V Schomakers
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Core Facility Metabolomics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Simone Denis
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Frédéric M Vaz
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Core Facility Metabolomics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Mia L Pras-Raves
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Core Facility Metabolomics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Michel van Weeghel
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Core Facility Metabolomics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Chun-Xia Yi
- Laboratory of Endocrinology, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Andries Kalsbeek
- Laboratory of Endocrinology, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Hypothalamic Integration Mechanisms Group, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Riekelt H Houtkooper
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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17
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Artati A, Prehn C, Lutter D, Dyar KA. Untargeted and Targeted Circadian Metabolomics Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) and Flow Injection-Electrospray Ionization-Tandem Mass Spectrometry (FIA-ESI-MS/MS). Methods Mol Biol 2022; 2482:311-327. [PMID: 35610436 DOI: 10.1007/978-1-0716-2249-0_21] [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] [Indexed: 06/15/2023]
Abstract
A diverse array of 24-h oscillating hormones and metabolites direct and reflect circadian clock function. Circadian metabolomics uses advanced high-throughput analytical chemistry techniques to comprehensively profile these small molecules (<1.5 kDa) across 24 h in cells, media, body fluids, breath, tissues, and subcellular compartments. The goals of circadian metabolomics experiments are often multifaceted. These include identifying and tracking rhythmic metabolic inputs and outputs of central and peripheral circadian clocks, quantifying endogenous free-running period, monitoring relative phase alignment between clocks, and mapping pathophysiological consequences of clock disruption or misalignment. Depending on the particular experimental question, samples are collected under free-running or entrained conditions. Here we describe both untargeted and targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) and flow injection-electrospray ionization-tandem mass spectrometry (FIA-ESI-MS/MS) based assays we have used for circadian metabolomics studies. We discuss tissue homogenization, chemical derivatization, measurement, and tips for data processing, normalization, scaling, how to handle outliers, and imputation of missing values.
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Affiliation(s)
- Anna Artati
- Metabolomics and Proteomics Core Facility, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Cornelia Prehn
- Metabolomics and Proteomics Core Facility, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Dominik Lutter
- Computational Discovery Research, Institute for Diabetes and Obesity (IDO), Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Kenneth Allen Dyar
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
- Metabolic Physiology, Institute for Diabetes and Cancer (IDC), Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany.
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18
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Abstract
OBJECTIVES The innate biologic clock plays a significant role in lipid metabolism, including the peripheral clock in the pancreas. However, an evaluation of the downstream lipids in the pancreatic lipidome is lacking. We sought to understand the diurnal variations of lipids within the pancreatic lipidome. METHODS At 4 weeks of age, C57Bl/6J mice were subjected to either normal lighting conditions or a chronic jetlag (CJ) condition known to mimic chronic shiftwork in humans. At 9 months, mice were serially killed at 4-hour intervals for 24 hours. The pancreas was removed and subjected to untargeted liquid chromatography-mass spectrometry to examine the pancreatic lipidome. RESULTS A total of 4.7% of the pancreatic lipidome was rhythmically expressed, which increased to 12.9% after CJ. After CJ, there was a 4.58-hour shift in the timing of peak 24-hour lipid expression. Chronic jetlag also led to the enrichment of diacylglycerols and triglycerides, while promoting a decrease in lysophosphatidylcholines and 44-carbon acyl chain lipids. CONCLUSIONS The pancreatic lipidome exhibits diurnal rhythmicity across a broad number of lipid classes. Chronic jetlag led to alterations in lipid composition that mirrored other metabolically active organs. Several of the reported changes may link altered sleep-wake cycles with known circadian disruption-induced pancreatic diseases.
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Affiliation(s)
- Patrick B Schwartz
- From the Department of Surgery, Division of Surgical Oncology, University of Wisconsin School of Medicine and Public Health
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Daemen S, van Polanen N, Bilet L, Phielix E, Moonen-Kornips E, Schrauwen-Hinderling VB, Schrauwen P, Hesselink MKC. Postexercise changes in myocellular lipid droplet characteristics of young lean individuals are affected by circulatory nonesterified fatty acids. Am J Physiol Endocrinol Metab 2021; 321:E453-E463. [PMID: 34396784 DOI: 10.1152/ajpendo.00654.2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Intramyocellular lipid (IMCL) content is an energy source during acute exercise. Nonesterified fatty acid (NEFA) levels can compete with IMCL utilization during exercise. IMCL content is stored as lipid droplets (LDs) that vary in size, number, subcellular distribution, and in coating with LD protein PLIN5. Little is known about how these factors are affected during exercise and recovery. Here, we aimed to investigate the effects of acute exercise with and without elevated NEFA levels on intramyocellular LD size and number, intracellular distribution and PLIN5 coating, using high-resolution confocal microscopy. In a crossover study, 9 healthy lean young men performed a 2-h moderate intensity cycling protocol in the fasted (high NEFA levels) and glucose-fed state (low NEFA levels). IMCL and LD parameters were measured at baseline, directly after exercise and 4 h postexercise. We found that total IMCL content was not changed directly after exercise (irrespectively of condition), but IMCL increased 4 h postexercise in the fasting condition, which was due to an increased number of LDs rather than changes in size. The effects were predominantly detected in type I muscle fibers and in LDs coated with PLIN5. Interestingly, subsarcolemmal, but not intermyofibrillar IMCL content, was decreased directly after exercise in the fasting condition and was replenished during the 4 h recovery period. In conclusion, acute exercise affects IMCL storage during exercise and recovery, particularly in type I muscle fibers, in the subsarcolemmal region and in the presence of PLIN5. Moreover, the effects of exercise on IMCL content are affected by plasma NEFA levels.NEW & NOTEWORTHY Skeletal muscle stores lipids in lipid droplets (LDs) that can vary in size, number, and location and are a source of energy during exercise. Specifically, subsarcolemmal LDs were used during exercise when fasted. Exercising in the fasted state leads to postrecovery elevation in IMCL levels due to an increase in LD number in type I muscle fibers, in subsarcolemmal region and decorated with PLIN5. These effects are blunted by glucose ingestion during exercise and recovery.
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Affiliation(s)
- Sabine Daemen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Nynke van Polanen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Lena Bilet
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Esther Phielix
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Esther Moonen-Kornips
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Vera B Schrauwen-Hinderling
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Radiology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Matthijs K C Hesselink
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
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20
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Moholdt T, Parr EB, Devlin BL, Debik J, Giskeødegård G, Hawley JA. The effect of morning vs evening exercise training on glycaemic control and serum metabolites in overweight/obese men: a randomised trial. Diabetologia 2021; 64:2061-2076. [PMID: 34009435 PMCID: PMC8382617 DOI: 10.1007/s00125-021-05477-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/09/2021] [Indexed: 01/01/2023]
Abstract
AIMS/HYPOTHESIS We determined whether the time of day of exercise training (morning vs evening) would modulate the effects of consumption of a high-fat diet (HFD) on glycaemic control, whole-body health markers and serum metabolomics. METHODS In this three-armed parallel-group randomised trial undertaken at a university in Melbourne, Australia, overweight/obese men consumed an HFD (65% of energy from fat) for 11 consecutive days. Participants were recruited via social media and community advertisements. Eligibility criteria for participation were male sex, age 30-45 years, BMI 27.0-35.0 kg/m2 and sedentary lifestyle. The main exclusion criteria were known CVD or type 2 diabetes, taking prescription medications, and shift-work. After 5 days, participants were allocated using a computer random generator to either exercise in the morning (06:30 hours), exercise in the evening (18:30 hours) or no exercise for the subsequent 5 days. Participants and researchers were not blinded to group assignment. Changes in serum metabolites, circulating lipids, cardiorespiratory fitness, BP, and glycaemic control (from continuous glucose monitoring) were compared between groups. RESULTS Twenty-five participants were randomised (morning exercise n = 9; evening exercise n = 8; no exercise n = 8) and 24 participants completed the study and were included in analyses (n = 8 per group). Five days of HFD induced marked perturbations in serum metabolites related to lipid and amino acid metabolism. Exercise training had a smaller impact than the HFD on changes in circulating metabolites, and only exercise undertaken in the evening was able to partly reverse some of the HFD-induced changes in metabolomic profiles. Twenty-four-hour glucose concentrations were lower after 5 days of HFD compared with the participants' habitual diet (5.3 ± 0.4 vs 5.6 ± 0.4 mmol/l, p = 0.001). There were no significant changes in 24 h glucose concentrations for either exercise group but lower nocturnal glucose levels were observed in participants who trained in the evening, compared with when they consumed the HFD alone (4.9 ± 0.4 vs 5.3 ± 0.3 mmol/l, p = 0.04). Compared with the no-exercise group, peak oxygen uptake improved after both morning (estimated effect 1.3 ml min-1 kg-1 [95% CI 0.5, 2.0], p = 0.003) and evening exercise (estimated effect 1.4 ml min-1 kg-1 [95% CI 0.6, 2.2], p = 0.001). Fasting blood glucose, insulin, cholesterol, triacylglycerol and LDL-cholesterol concentrations decreased only in participants allocated to evening exercise training. There were no unintended or adverse effects. CONCLUSIONS/INTERPRETATION A short-term HFD in overweight/obese men induced substantial alterations in lipid- and amino acid-related serum metabolites. Improvements in cardiorespiratory fitness were similar regardless of the time of day of exercise training. However, improvements in glycaemic control and partial reversal of HFD-induced changes in metabolic profiles were only observed when participants exercise trained in the evening. TRIAL REGISTRATION anzctr.org.au registration no. ACTRN12617000304336. FUNDING This study was funded by the Novo Nordisk Foundation (NNF14OC0011493).
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Affiliation(s)
- Trine Moholdt
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
- Women's Clinic, St Olavs Hospital, Trondheim, Norway.
| | - Evelyn B Parr
- Exercise & Nutrition Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Fitzroy, VIC, Australia
| | - Brooke L Devlin
- Exercise & Nutrition Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Fitzroy, VIC, Australia
- Department of Dietetics, Nutrition and Sport, La Trobe University, Melbourne, VIC, Australia
| | - Julia Debik
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Guro Giskeødegård
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - John A Hawley
- Exercise & Nutrition Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Fitzroy, VIC, Australia.
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21
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Harmsen JF, van Polanen N, van Weeghel M, Wefers J, Hoeks J, Vaz FM, Pras-Raves ML, van Kampen AHC, Schaart G, van Moorsel D, Hansen J, Hesselink MKC, Houtkooper RH, Schrauwen P. Circadian misalignment disturbs the skeletal muscle lipidome in healthy young men. FASEB J 2021; 35:e21611. [PMID: 33977623 DOI: 10.1096/fj.202100143r] [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: 01/27/2021] [Revised: 03/25/2021] [Accepted: 04/06/2021] [Indexed: 01/19/2023]
Abstract
Circadian misalignment, as seen in shift work, is associated with an increased risk to develop type 2 diabetes. In an experimental setting, we recently showed that a rapid day-night shift for 3 consecutive nights leads to misalignment of the core molecular clock, induction of the PPAR pathway, and insulin resistance in skeletal muscle of young, healthy men. Here, we investigated if circadian misalignment affects the skeletal muscle lipidome and intramyocellular lipid droplet characteristics, explaining the misalignment-induced insulin resistance. Fourteen healthy men underwent one aligned and one circadian misalignment period, both consisting of ~3.5 days. In the misaligned condition, day and night were rapidly shifted by 12 hours leading to opposite eating, sleep, and activity times compared with the aligned condition. For each condition, two muscle biopsies were taken from the m. vastus lateralis in the morning and evening and subjected to semi-targeted lipidomics and confocal microscopy analysis. We found that only 2% of detected lipids were different between morning and evening in the aligned condition, whereas 12% displayed a morning-evening difference upon misalignment. Triacylglycerols, in particular species of a carbon length ≥55, were the most abundant lipid species changed upon misalignment. Cardiolipins were decreased upon misalignment, whereas phosphatidylcholines consistently followed the same morning-evening pattern, suggesting regulation by the circadian clock. Cholesteryl esters adjusted to the shifted behavior. Lipid droplet characteristics remained unaltered upon misalignment. Together, these findings show that simulated shift work disturbs the skeletal muscle lipidome, which may contribute to misalignment-induced insulin resistance.
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Affiliation(s)
- Jan-Frieder Harmsen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Nynke van Polanen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Michel van Weeghel
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Core Facility Metabolomics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Jakob Wefers
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Joris Hoeks
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Frédéric M Vaz
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Core Facility Metabolomics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Mia L Pras-Raves
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Core Facility Metabolomics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.,Bioinformatics Laboratory, Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Antoine H C van Kampen
- Bioinformatics Laboratory, Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Gert Schaart
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Dirk van Moorsel
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jan Hansen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 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, Maastricht, The Netherlands
| | - Riekelt H Houtkooper
- Laboratory Genetic Metabolic Diseases, Amsterdam Gastroenterology, Endocrinology, and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
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22
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Hancox TPM, Skene DJ, Dallmann R, Dunn WB. Tick-Tock Consider the Clock: The Influence of Circadian and External Cycles on Time of Day Variation in the Human Metabolome-A Review. Metabolites 2021; 11:328. [PMID: 34069741 PMCID: PMC8161100 DOI: 10.3390/metabo11050328] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/13/2021] [Accepted: 05/17/2021] [Indexed: 12/21/2022] Open
Abstract
The past decade has seen a large influx of work investigating time of day variation in different human biofluid and tissue metabolomes. The driver of this daily variation can be endogenous circadian rhythms driven by the central and/or peripheral clocks, or exogenous diurnal rhythms driven by behavioural and environmental cycles, which manifest as regular 24 h cycles of metabolite concentrations. This review, of all published studies to date, establishes the extent of daily variation with regard to the number and identity of 'rhythmic' metabolites observed in blood, saliva, urine, breath, and skeletal muscle. The probable sources driving such variation, in addition to what metabolite classes are most susceptible in adhering to or uncoupling from such cycles is described in addition to a compiled list of common rhythmic metabolites. The reviewed studies show that the metabolome undergoes significant time of day variation, primarily observed for amino acids and multiple lipid classes. Such 24 h rhythms, driven by various factors discussed herein, are an additional source of intra/inter-individual variation and are thus highly pertinent to all studies applying untargeted and targeted metabolomics platforms, particularly for the construction of biomarker panels. The potential implications are discussed alongside proposed minimum reporting criteria suggested to acknowledge time of day variation as a potential influence of results and to facilitate improved reproducibility.
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Affiliation(s)
- Thomas P. M. Hancox
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Debra J. Skene
- Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK;
| | - Robert Dallmann
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK;
| | - Warwick B. Dunn
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
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23
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Molenaars M, Schomakers BV, Elfrink HL, Gao AW, Vervaart MAT, Pras-Raves ML, Luyf AC, Smith RL, Sterken MG, Kammenga JE, van Kampen AHC, Janssens GE, Vaz FM, van Weeghel M, Houtkooper RH. Metabolomics and lipidomics in Caenorhabditis elegans using a single-sample preparation. Dis Model Mech 2021; 14:dmm047746. [PMID: 33653825 PMCID: PMC8106956 DOI: 10.1242/dmm.047746] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 02/23/2021] [Indexed: 12/29/2022] Open
Abstract
Comprehensive metabolomic and lipidomic mass spectrometry methods are in increasing demand; for instance, in research related to nutrition and aging. The nematode Caenorhabditis elegans is a key model organism in these fields, owing to the large repository of available C. elegans mutants and their convenient natural lifespan. Here, we describe a robust and sensitive analytical method for the semi-quantitative analysis of >100 polar (metabolomics) and >1000 apolar (lipidomics) metabolites in C. elegans, using a single-sample preparation. Our method is capable of reliably detecting a wide variety of biologically relevant metabolic aberrations in, for example, glycolysis and the tricarboxylic acid cycle, pyrimidine metabolism and complex lipid biosynthesis. In conclusion, we provide a powerful analytical tool that maximizes metabolic data yield from a single sample. This article has an associated First Person interview with the joint first authors of the paper.
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Affiliation(s)
- Marte Molenaars
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Bauke V. Schomakers
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Hyung L. Elfrink
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Arwen W. Gao
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Martin A. T. Vervaart
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Mia L. Pras-Raves
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Bioinformatics Laboratory, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Angela C. Luyf
- Bioinformatics Laboratory, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Reuben L. Smith
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Mark G. Sterken
- Laboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
| | - Jan E. Kammenga
- Laboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
| | - Antoine H. C. van Kampen
- Bioinformatics Laboratory, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Georges E. Janssens
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Frédéric M. Vaz
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Michel van Weeghel
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Riekelt H. Houtkooper
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
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24
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Aging selectively dampens oscillation of lipid abundance in white and brown adipose tissue. Sci Rep 2021; 11:5932. [PMID: 33723320 PMCID: PMC7961067 DOI: 10.1038/s41598-021-85455-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/28/2021] [Indexed: 02/07/2023] Open
Abstract
Lipid metabolism is under the control of the circadian system and circadian dysregulation has been linked to obesity and dyslipidemia. These factors and outcomes have also been associated to, or affected by, the process of aging. Here, we investigated whether murine white (WAT) and brown (BAT) adipose tissue lipids exhibit rhythmicity and if this is affected by aging. To this end, we have measured the 24 h lipid profiles of WAT and BAT using a global lipidomics analysis of > 1100 lipids. We observed rhythmicity in nearly all lipid classes including glycerolipids, glycerophospholipids, sterol lipids and sphingolipids. Overall, ~ 22% of the analyzed lipids were considered rhythmic in WAT and BAT. Despite a general accumulation of lipids upon aging the fraction of oscillating lipids decreased in both tissues to 14% and 18%, respectively. Diurnal profiles of lipids in BAT appeared to depend on the lipid acyl chain length and this specific regulation was lost in aged mice. Our study revealed how aging affects the rhythmicity of lipid metabolism and could contribute to the quest for targets that improve diurnal lipid homeostasis to maintain cardiometabolic health during aging.
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25
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Sprenger RR, Hermansson M, Neess D, Becciolini LS, Sørensen SB, Fagerberg R, Ecker J, Liebisch G, Jensen ON, Vance DE, Færgeman NJ, Klemm RW, Ejsing CS. Lipid molecular timeline profiling reveals diurnal crosstalk between the liver and circulation. Cell Rep 2021; 34:108710. [PMID: 33535053 DOI: 10.1016/j.celrep.2021.108710] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 10/29/2020] [Accepted: 01/08/2021] [Indexed: 12/18/2022] Open
Abstract
Diurnal regulation of whole-body lipid metabolism plays a vital role in metabolic health. Although changes in lipid levels across the diurnal cycle have been investigated, the system-wide molecular responses to both short-acting fasting-feeding transitions and longer-timescale circadian rhythms have not been explored in parallel. Here, we perform time-series multi-omics analyses of liver and plasma revealing that the majority of molecular oscillations are entrained by adaptations to fasting, food intake, and the postprandial state. By developing algorithms for lipid structure enrichment analysis and lipid molecular crosstalk between tissues, we find that the hepatic phosphatidylethanolamine (PE) methylation pathway is diurnally regulated, giving rise to two pools of oscillating phosphatidylcholine (PC) molecules in the circulation, which are coupled to secretion of either very low-density lipoprotein (VLDL) or high-density lipoprotein (HDL) particles. Our work demonstrates that lipid molecular timeline profiling across tissues is key to disentangling complex metabolic processes and provides a critical resource for the study of whole-body lipid metabolism.
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Affiliation(s)
- Richard R Sprenger
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark
| | - Martin Hermansson
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark
| | - Ditte Neess
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark
| | - Lena Sokol Becciolini
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark
| | - Signe Bek Sørensen
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark
| | - Rolf Fagerberg
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
| | - Josef Ecker
- ZIEL-Institute for Food & Health, Research Group Lipid Metabolism, Technical University of Munich, Freising, Germany
| | - Gerhard Liebisch
- Institute of Clinical Chemistry and Laboratory Medicine, Regensburg University Hospital, Regensburg, Germany
| | - Ole N Jensen
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark
| | - Dennis E Vance
- Group on Molecular and Cell Biology of Lipids, University of Alberta, Edmonton, AB, Canada
| | - Nils J Færgeman
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark
| | - Robin W Klemm
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Christer S Ejsing
- Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark; Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
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26
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Abstract
PURPOSE OF REVIEW The aim of this review is to present the latest findings on the role of the circadian clock in the control of metabolism, and the therapeutic potential of chronotherapy to regulate energy homeostasis in humans. RECENT FINDINGS We summarized the recent advances related to circadian clock regulation of food intake and energy expenditure. In peripheral organs, mitochondrial oxidative capacity and lipolysis show circadian pattern in humans, and rhythms disruption may be involved in the pathogenesis of metabolic diseases. Indeed, circadian desynchrony affects food intake, insulin sensitivity, and increases the risk of developing metabolic disease. Time-targeted strategies, which aim to synchronize external cues with the molecular clock to improve metabolic outcomes, have positive effects on metabolism in humans, with several studies showing that time-targeted feeding improves body weight loss and glucose tolerance. SUMMARY The interest in time-targeted strategies to prevent or manage metabolic disturbances has grown this past year with encouraging health benefits. To maximize the therapeutic effect of these strategies, further research is warranted to delineate the molecular regulation of metabolic processes controlled by the clock and especially its modulation in contexts such as aging, sex differences, or metabolic diseases.
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Affiliation(s)
| | - Logan A Pendergrast
- Department of Molecular Medicine and Surgery, Section for Integrative Physiology, Karolinska Institutet, Stockholm, Sweden
| | - Juleen R Zierath
- Department of Physiology and Pharmacology
- Department of Molecular Medicine and Surgery, Section for Integrative Physiology, Karolinska Institutet, Stockholm, Sweden
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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27
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Regulation of diurnal energy balance by mitokines. Cell Mol Life Sci 2021; 78:3369-3384. [PMID: 33464381 PMCID: PMC7814174 DOI: 10.1007/s00018-020-03748-9] [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: 10/01/2020] [Revised: 12/14/2020] [Accepted: 12/21/2020] [Indexed: 12/14/2022]
Abstract
The mammalian system of energy balance regulation is intrinsically rhythmic with diurnal oscillations of behavioral and metabolic traits according to the 24 h day/night cycle, driven by cellular circadian clocks and synchronized by environmental or internal cues such as metabolites and hormones associated with feeding rhythms. Mitochondria are crucial organelles for cellular energy generation and their biology is largely under the control of the circadian system. Whether mitochondrial status might also feed-back on the circadian system, possibly via mitokines that are induced by mitochondrial stress as endocrine-acting molecules, remains poorly understood. Here, we describe our current understanding of the diurnal regulation of systemic energy balance, with focus on fibroblast growth factor 21 (FGF21) and growth differentiation factor 15 (GDF15), two well-known endocrine-acting metabolic mediators. FGF21 shows a diurnal oscillation and directly affects the output of the brain master clock. Moreover, recent data demonstrated that mitochondrial stress-induced GDF15 promotes a day-time restricted anorexia and systemic metabolic remodeling as shown in UCP1-transgenic mice, where both FGF21 and GDF15 are induced as myomitokines. In this mouse model of slightly uncoupled skeletal muscle mitochondria GDF15 proved responsible for an increased metabolic flexibility and a number of beneficial metabolic adaptations. However, the molecular mechanisms underlying energy balance regulation by mitokines are just starting to emerge, and more data on diurnal patterns in mouse and man are required. This will open new perspectives into the diurnal nature of mitokines and action both in health and disease.
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28
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Schuppelius B, Peters B, Ottawa A, Pivovarova-Ramich O. Time Restricted Eating: A Dietary Strategy to Prevent and Treat Metabolic Disturbances. Front Endocrinol (Lausanne) 2021; 12:683140. [PMID: 34456861 PMCID: PMC8387818 DOI: 10.3389/fendo.2021.683140] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 07/23/2021] [Indexed: 12/15/2022] Open
Abstract
Time-restricted eating (TRE), a dietary approach limiting the daily eating window, has attracted increasing attention in media and research. The eating behavior in our modern society is often characterized by prolonged and erratic daily eating patterns, which might be associated with increased risk of obesity, diabetes, and cardiovascular diseases. In contrast, recent evidence suggests that TRE might support weight loss, improve cardiometabolic health, and overall wellbeing, but the data are controversial. The present work reviews how TRE affects glucose and lipid metabolism based on clinical trials published until June 2021. A range of trials demonstrated that TRE intervention lowered fasting and postprandial glucose levels in response to a standard meal or oral glucose tolerance test, as well as mean 24-h glucose and glycemic excursions assessed using continuous glucose monitoring. In addition, fasting insulin decreases and improvement of insulin sensitivity were demonstrated. These changes were often accompanied by the decrease of blood triglyceride and cholesterol levels. However, a number of studies found that TRE had either adverse or no effects on glycemic and lipid traits, which might be explained by the different study designs (i.e., fasting/eating duration, daytime of eating, changes of calorie intake, duration of intervention) and study subject cohorts (metabolic status, age, gender, chronotype, etc.). To summarize, TRE represents an attractive and easy-to-adapt dietary strategy for the prevention and therapy of glucose and lipid metabolic disturbances. However, carefully controlled future TRE studies are needed to confirm these effects to understand the underlying mechanisms and assess the applicability of personalized interventions.
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Affiliation(s)
- Bettina Schuppelius
- Research Group Molecular Nutritional Medicine, Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Beeke Peters
- Research Group Molecular Nutritional Medicine, Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Human Nutrition and Food Science, Faculty of Agriculture and Food Sciences, Christian-Albrecht-University Kiel, Kiel, Germany
| | - Agnieszka Ottawa
- Research Group Molecular Nutritional Medicine, Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Olga Pivovarova-Ramich
- Research Group Molecular Nutritional Medicine, Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- *Correspondence: Olga Pivovarova-Ramich,
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The importance of 24-h metabolism in obesity-related metabolic disorders: opportunities for timed interventions. Int J Obes (Lond) 2020; 45:479-490. [PMID: 33235354 DOI: 10.1038/s41366-020-00719-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/18/2020] [Accepted: 11/03/2020] [Indexed: 11/08/2022]
Abstract
Various metabolic processes in the body oscillate throughout the natural day, driven by a biological clock. Circadian rhythms are also influenced by time cues from the environment (light exposure) and behaviour (eating and exercise). Recent evidence from diurnal- and circadian-rhythm studies indicates rhythmicity in various circulating metabolites, insulin secretion and -sensitivity and energy expenditure in metabolically healthy adults. These rhythms have been shown to be disturbed in adults with obesity-related metabolic disturbances. Moreover, eating and being (in)active at a time that the body is not prepared for it, as in night-shift work, is related to poor metabolic outcomes. These findings indicate the relevance of 24-h metabolism in obesity-related metabolic alterations and have also led to novel strategies, such as timing of food intake and exercise, to reinforce the circadian rhythm and thereby improving metabolic health. This review aims to deepen the understanding of the influence of the circadian system on metabolic processes and obesity-related metabolic disturbances and to discuss novel time-based strategies that may be helpful in combating metabolic disease.
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30
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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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