1. Atlas of Circadian Metabolism Reveals System-wide Coordination and Communication between Clocks
- Author
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Dyar, Kenneth A, Lutter, Dominik, Artati, Anna, Ceglia, Nicholas J, Liu, Yu, Armenta, Danny, Jastroch, Martin, Schneider, Sandra, de Mateo, Sara, Cervantes, Marlene, Abbondante, Serena, Tognini, Paola, Orozco-Solis, Ricardo, Kinouchi, Kenichiro, Wang, Christina, Swerdloff, Ronald, Nadeef, Seba, Masri, Selma, Magistretti, Pierre, Orlando, Valerio, Borrelli, Emiliana, Uhlenhaut, N Henriette, Baldi, Pierre, Adamski, Jerzy, Tschöp, Matthias H, Eckel-Mahan, Kristin, and Sassone-Corsi, Paolo
- Subjects
Medical Biochemistry and Metabolomics ,Biological Sciences ,Biomedical and Clinical Sciences ,Sleep Research ,Neurosciences ,Nutrition ,2.1 Biological and endogenous factors ,Aetiology ,Metabolic and endocrine ,Good Health and Well Being ,Animals ,Circadian Clocks ,Diet ,High-Fat ,Energy Metabolism ,Liver ,Male ,Metabolic Networks and Pathways ,Metabolome ,Metabolomics ,Mice ,Mice ,Inbred C57BL ,Muscle ,Skeletal ,Prefrontal Cortex ,Suprachiasmatic Nucleus ,Uncoupling Protein 1 ,CircadiOmics ,circadian rhythms ,clock ,high-fat diet ,metabolism ,metabolomics ,Medical and Health Sciences ,Developmental Biology ,Biological sciences ,Biomedical and clinical sciences - Abstract
Metabolic diseases are often characterized by circadian misalignment in different tissues, yet how altered coordination and communication among tissue clocks relate to specific pathogenic mechanisms remains largely unknown. Applying an integrated systems biology approach, we performed 24-hr metabolomics profiling of eight mouse tissues simultaneously. We present a temporal and spatial atlas of circadian metabolism in the context of systemic energy balance and under chronic nutrient stress (high-fat diet [HFD]). Comparative analysis reveals how the repertoires of tissue metabolism are linked and gated to specific temporal windows and how this highly specialized communication and coherence among tissue clocks is rewired by nutrient challenge. Overall, we illustrate how dynamic metabolic relationships can be reconstructed across time and space and how integration of circadian metabolomics data from multiple tissues can improve our understanding of health and disease.
- Published
- 2018