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Dyar, K.A. ; Eckel-Mahan, K.L.*

Circadian metabolomics in time and space.

Front. Neurosci. 11:369 (2017)
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Circadian rhythms are widely known to govern human health and disease, but specific pathogenic mechanisms linking circadian disruption to metabolic diseases are just beginning to come to light. This is thanks in part to the development and application of various "omics"-based tools in biology and medicine. Current high-throughput technologies allow for the simultaneous monitoring of multiple dynamic cellular events over time, ranging from gene expression to metabolite abundance and sub-cellular localization. These fundamental temporal and spatial perspectives have allowed for a more comprehensive understanding of how various dynamic cellular events and biochemical processes are related in health and disease. With advances in technology, metabolomics has become a more routine "omics" approach for studying metabolism, and "circadian metabolomics" (i.e., studying the 24-h metabolome) has recently been undertaken by several groups. To date, circadian metabolomes have been reported for human serum, saliva, breath, and urine, as well as tissues from several species under specific disease or mutagenesis conditions. Importantly, these studies have consistently revealed that 24-h rhythms are prevalent in almost every tissue and metabolic pathway. Furthermore, these circadian rhythms in tissue metabolism are ultimately linked to and directed by internal 24-h biological clocks. In this review, we will attempt to put these data-rich circadian metabolomics experiments into perspective to find out what they can tell us about metabolic health and disease, and what additional biomarker potential they may reveal.
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Publication type Article: Journal article
Document type Review
Keywords Chronotherapy ; Circadian ; Metabolism ; Metabolites ; Metabolomics; Clock Gene-expression; Internal Body Time; Rev-erb-alpha; Suprachiasmatic Nucleus; Peripheral-tissues; Nutritional Challenge; Transcription Factor; Reveals Persistent; Glucose-metabolism; Mass-spectrometry
Language english
Publication Year 2017
HGF-reported in Year 2017
ISSN (print) / ISBN 1662-453X
Quellenangaben Volume: 11, Issue: , Pages: , Article Number: 369 Supplement: ,
Publisher Frontiers
Publishing Place Lausanne
POF-Topic(s) 90000 - German Center for Diabetes Research
Research field(s) Helmholtz Diabetes Center
PSP Element(s) G-501900-227
PubMed ID 28744188
Scopus ID 85024391421
Erfassungsdatum 2017-09-06