@article{97eb863c23244982b0b0e34cd801691c,
title = "Atlas of Circadian Metabolism Reveals System-wide Coordination and Communication between Clocks",
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. Circadian metabolite profiles of eight different tissues under standard and high-fat diet uncover highly specialized communication and coherence among tissue clocks and how this is rewired by nutrient challenge.",
keywords = "CircadiOmics, circadian rhythms, clock, high-fat diet, metabolism, metabolomics",
author = "Dyar, {Kenneth A.} and Dominik Lutter and Anna Artati and Ceglia, {Nicholas J.} and Yu Liu and Danny Armenta and Martin Jastroch and Sandra Schneider and {de Mateo}, Sara and Marlene Cervantes and Serena Abbondante and Paola Tognini and Ricardo Orozco-Solis and Kenichiro Kinouchi and Christina Wang and Ronald Swerdloff and Seba Nadeef and Selma Masri and Pierre Magistretti and Valerio Orlando and Emiliana Borrelli and Uhlenhaut, {N. Henriette} and Pierre Baldi and Jerzy Adamski and Tsch{\"o}p, {Matthias H.} and Kristin Eckel-Mahan and Paolo Sassone-Corsi",
note = "Funding Information: This work was supported by NIH grant GM123558 and DARPA grant D17AP00002 (P.B.); DFG Emmy Noether NHU 275/1-1 (N.H.U.); the Alexander von Humboldt Foundation (M.H.T.); NIH DK114037 (K.E.M.); by INSERM (Institut National de la Sante et de la Recherche Medicale, France), KAUST (King Abdullah University of Science and Technology), National Institutes of Health , and Novo Nordisk Foundation Challenge Grant NNF140C0011493 (P.S.-C.); and by the German Federal Ministry of Education and Research (BMBF) to the German Center Diabetes Research (DZD e.V.) grant to J.A. Funding Information: This work was supported by NIH grant GM123558 and DARPA grant D17AP00002 (P.B.); DFG Emmy Noether NHU 275/1-1 (N.H.U.); the Alexander von Humboldt Foundation (M.H.T.); NIH DK114037 (K.E.M.); by INSERM (Institut National de la Sante et de la Recherche Medicale, France), KAUST (King Abdullah University of Science and Technology), National Institutes of Health, and Novo Nordisk Foundation Challenge Grant NNF140C0011493 (P.S.-C.); and by the German Federal Ministry of Education and Research (BMBF) to the German Center Diabetes Research (DZD e.V.) grant to J.A. Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",
year = "2018",
month = sep,
day = "6",
doi = "10.1016/j.cell.2018.08.042",
language = "English (US)",
volume = "174",
pages = "1571--1585.e11",
journal = "Cell",
issn = "0092-8674",
publisher = "Elsevier",
number = "6",
}