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Circadian Metabolomics in Time and Space

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 me...

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Autores principales: Dyar, Kenneth A., Eckel-Mahan, Kristin L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504240/
https://www.ncbi.nlm.nih.gov/pubmed/28744188
http://dx.doi.org/10.3389/fnins.2017.00369
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author Dyar, Kenneth A.
Eckel-Mahan, Kristin L.
author_facet Dyar, Kenneth A.
Eckel-Mahan, Kristin L.
author_sort Dyar, Kenneth A.
collection PubMed
description 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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spelling pubmed-55042402017-07-25 Circadian Metabolomics in Time and Space Dyar, Kenneth A. Eckel-Mahan, Kristin L. Front Neurosci Neuroscience 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. Frontiers Media S.A. 2017-07-11 /pmc/articles/PMC5504240/ /pubmed/28744188 http://dx.doi.org/10.3389/fnins.2017.00369 Text en Copyright © 2017 Dyar and Eckel-Mahan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Dyar, Kenneth A.
Eckel-Mahan, Kristin L.
Circadian Metabolomics in Time and Space
title Circadian Metabolomics in Time and Space
title_full Circadian Metabolomics in Time and Space
title_fullStr Circadian Metabolomics in Time and Space
title_full_unstemmed Circadian Metabolomics in Time and Space
title_short Circadian Metabolomics in Time and Space
title_sort circadian metabolomics in time and space
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504240/
https://www.ncbi.nlm.nih.gov/pubmed/28744188
http://dx.doi.org/10.3389/fnins.2017.00369
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