24
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Transcriptional programming of lipid and amino acid metabolism by the skeletal muscle circadian clock

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Circadian clocks are fundamental physiological regulators of energy homeostasis, but direct transcriptional targets of the muscle clock machinery are unknown. To understand how the muscle clock directs rhythmic metabolism, we determined genome-wide binding of the master clock regulators brain and muscle ARNT-like protein 1 (BMAL1) and REV-ERBα in murine muscles. Integrating occupancy with 24-hr gene expression and metabolomics after muscle-specific loss of BMAL1 and REV-ERBα, here we unravel novel molecular mechanisms connecting muscle clock function to daily cycles of lipid and protein metabolism. Validating BMAL1 and REV-ERBα targets using luciferase assays and in vivo rescue, we demonstrate how a major role of the muscle clock is to promote diurnal cycles of neutral lipid storage while coordinately inhibiting lipid and protein catabolism prior to awakening. This occurs by BMAL1-dependent activation of Dgat2 and REV-ERBα-dependent repression of major targets involved in lipid metabolism and protein turnover ( MuRF-1, Atrogin-1). Accordingly, muscle-specific loss of BMAL1 is associated with metabolic inefficiency, impaired muscle triglyceride biosynthesis, and accumulation of bioactive lipids and amino acids. Taken together, our data provide a comprehensive overview of how genomic binding of BMAL1 and REV-ERBα is related to temporal changes in gene expression and metabolite fluctuations.

          Author summary

          Circadian clocks are known to regulate local and systemic homeostasis by anticipating rhythmic changes in behavior and nutritional state and by compartmentalizing incompatible metabolic pathways within precise temporal and spatial windows. Yet a precise mechanistic understanding of how the circadian clock in skeletal muscle controls homeostasis is just beginning to come to light. Here, we investigated how the muscle clock directs 24-hr metabolic rhythms. We compared genome-wide binding of clock transcription factors brain and muscle ARNT-like protein 1 (BMAL1) and REV-ERBα with 24-hr transcriptional and metabolic effects after their loss of function specifically in muscles. We found that the muscle clock plays a major role anticipating the transition from fasting to feeding. This occurs by direct activation of transcriptional programs promoting lipid storage, insulin sensitivity, and glucose metabolism, with coordinated repression of programs controlling lipid oxidation and protein catabolism. Importantly, these gene expression changes occur in the hours prior to systemic metabolic and hormonal cues that arise upon awakening. As such, we find that the muscle clock tips the scales in favor of glucose metabolism, whereas loss of function of the clock transcription factor BMAL1 is associated with persistent lipid metabolism, protein catabolism, and metabolic inefficiency.

          Related collections

          Most cited references111

          • Record: found
          • Abstract: found
          • Article: not found

          Transcriptional architecture and chromatin landscape of the core circadian clock in mammals.

          The mammalian circadian clock involves a transcriptional feed back loop in which CLOCK and BMAL1 activate the Period and Cryptochrome genes, which then feedback and repress their own transcription. We have interrogated the transcriptional architecture of the circadian transcriptional regulatory loop on a genome scale in mouse liver and find a stereotyped, time-dependent pattern of transcription factor binding, RNA polymerase II (RNAPII) recruitment, RNA expression, and chromatin states. We find that the circadian transcriptional cycle of the clock consists of three distinct phases: a poised state, a coordinated de novo transcriptional activation state, and a repressed state. Only 22% of messenger RNA (mRNA) cycling genes are driven by de novo transcription, suggesting that both transcriptional and posttranscriptional mechanisms underlie the mammalian circadian clock. We also find that circadian modulation of RNAPII recruitment and chromatin remodeling occurs on a genome-wide scale far greater than that seen previously by gene expression profiling.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Regulation of Circadian Behavior and Metabolism by Rev-erbα and Rev-erbβ

            The circadian clock acts at the genomic level to coordinate internal behavioral and physiologic rhythms via the CLOCK-BMAL transcriptional heterodimer. Although the nuclear receptors REV-ERBα and β have been proposed to form an accessory feedback loop that contributes to clock function 1,2 , their precise roles and importance remain unresolved. To establish their regulatory potential we generated comparative cistromes of both REV-ERB isoforms, which revealed shared recognition at over 50% of their total sites and extensive overlap with the master circadian regulator BMAL1. While Rev-erbα has been shown to directly regulate Bmal1 expression 1,2 , the cistromic analysis reveals a direct connection between Bmal1 and Rev-erbα and β regulatory circuits than previously suspected. Genes within the intersection of the BMAL1, REV-ERBα and REV-ERBβ cistromes are highly enriched for both clock and metabolic functions. As predicted by the cistromic analysis, dual depletion of Rev-erbα/β function by creating double-knockout mice (DKOs) profoundly disrupted circadian expression of core circadian clock and lipid homeostatic gene networks. As a result, DKOs show strikingly altered circadian wheel-running behavior and deregulated lipid metabolism. These data now ally Rev-erbα/β with Per, Cry and other components of the principal feedback loop that drives circadian expression and suggest a more integral mechanism for the coordination of circadian rhythm and metabolism.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              AMPK and PPARdelta agonists are exercise mimetics.

              The benefits of endurance exercise on general health make it desirable to identify orally active agents that would mimic or potentiate the effects of exercise to treat metabolic diseases. Although certain natural compounds, such as reseveratrol, have endurance-enhancing activities, their exact metabolic targets remain elusive. We therefore tested the effect of pathway-specific drugs on endurance capacities of mice in a treadmill running test. We found that PPARbeta/delta agonist and exercise training synergistically increase oxidative myofibers and running endurance in adult mice. Because training activates AMPK and PGC1alpha, we then tested whether the orally active AMPK agonist AICAR might be sufficient to overcome the exercise requirement. Unexpectedly, even in sedentary mice, 4 weeks of AICAR treatment alone induced metabolic genes and enhanced running endurance by 44%. These results demonstrate that AMPK-PPARdelta pathway can be targeted by orally active drugs to enhance training adaptation or even to increase endurance without exercise.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ValidationRole: Visualization
                Role: Data curationRole: Formal analysisRole: SoftwareRole: Visualization
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: Data curationRole: Formal analysisRole: InvestigationRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Visualization
                Role: InvestigationRole: Methodology
                Role: InvestigationRole: MethodologyRole: Resources
                Role: InvestigationRole: MethodologyRole: Visualization
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: Investigation
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: Validation
                Role: InvestigationRole: MethodologyRole: Resources
                Role: InvestigationRole: MethodologyRole: ResourcesRole: Validation
                Role: MethodologyRole: ResourcesRole: Supervision
                Role: MethodologyRole: ResourcesRole: Supervision
                Role: MethodologyRole: Resources
                Role: ConceptualizationRole: MethodologyRole: Resources
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                10 August 2018
                August 2018
                10 August 2018
                : 16
                : 8
                : e2005886
                Affiliations
                [1 ] Helmholtz Diabetes Center (HMGU) and German Center for Diabetes Research (DZD), Institute for Diabetes and Obesity (IDO), Munich, Germany
                [2 ] Venetian Institute of Molecular Medicine (VIMM), Padova, Italy
                [3 ] Institute of Molecular Biosciences, University of Graz, Graz, Austria
                [4 ] Department of Biomedical Sciences, University of Padova, Padova, Italy
                [5 ] Clinical Genetics Unit, Department of Woman and Child Health, University of Padova, and IRP Città della Speranza, Padova, Italy
                [6 ] Clinica Medica, Department of Medical Sciences, University of Trieste, Trieste, Italy
                [7 ] Gene Center, Ludwig-Maximilians-Universitaet (LMU), Munich, Germany
                Duke University, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4220-4779
                Article
                pbio.2005886
                10.1371/journal.pbio.2005886
                6105032
                30096135
                5a40c792-951f-4c80-aadd-cae86a914338
                © 2018 Dyar et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 March 2018
                : 27 July 2018
                Page count
                Figures: 10, Tables: 1, Pages: 47
                Funding
                Emmy Noether grant (DFG) (grant number UH275/1-1). NHU. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. European Commission (Integrated Project MYOAGE) (grant number 223576). SS. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Telethon Italy Grant (grant number GGP13222). LS. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Fondazione CARIPARO, Padova. LS. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Proteins
                Muscle Proteins
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Muscles
                Skeletal Muscles
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Muscles
                Skeletal Muscles
                Biology and Life Sciences
                Biochemistry
                Lipids
                Lipid Metabolism
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Lipid Metabolism
                Biology and Life Sciences
                Genetics
                Gene Expression
                Research and Analysis Methods
                Chemical Synthesis
                Biosynthetic Techniques
                Protein Synthesis
                Muscle Protein Synthesis
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Synthesis
                Muscle Protein Synthesis
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Protein Metabolism
                Biology and Life Sciences
                Biochemistry
                Circadian Oscillators
                Biology and Life Sciences
                Chronobiology
                Circadian Oscillators
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Amino Acid Metabolism
                Custom metadata
                vor-update-to-uncorrected-proof
                2018-08-22
                ChIP-seq data are available at Gene Expression Omnibus, accession number GSE108650. Microarray data are available at Gene Expression Omnibus, accession number GSE43071. All other relevant data are within the paper and its Supporting Information files.

                Life sciences
                Life sciences

                Comments

                Comment on this article