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Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila

System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Delineatin...

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Autores principales: Wang, Ruohong, Yin, Yandong, Li, Jingshu, Wang, Hongmiao, Lv, Wanting, Gao, Yang, Wang, Tangci, Zhong, Yedan, Zhou, Zhiwei, Cai, Yuping, Su, Xiaoyang, Liu, Nan, Zhu, Zheng-Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209425/
https://www.ncbi.nlm.nih.gov/pubmed/35725845
http://dx.doi.org/10.1038/s41467-022-31268-6
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author Wang, Ruohong
Yin, Yandong
Li, Jingshu
Wang, Hongmiao
Lv, Wanting
Gao, Yang
Wang, Tangci
Zhong, Yedan
Zhou, Zhiwei
Cai, Yuping
Su, Xiaoyang
Liu, Nan
Zhu, Zheng-Jiang
author_facet Wang, Ruohong
Yin, Yandong
Li, Jingshu
Wang, Hongmiao
Lv, Wanting
Gao, Yang
Wang, Tangci
Zhong, Yedan
Zhou, Zhiwei
Cai, Yuping
Su, Xiaoyang
Liu, Nan
Zhu, Zheng-Jiang
author_sort Wang, Ruohong
collection PubMed
description System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Delineating system-wide metabolic homeostasis at the whole-organism level remains challenging. Here, we develop a global isotope tracing metabolomics technology to measure labeled metabolites with a metabolome-wide coverage. Using Drosophila as an aging model organism, we probe the in vivo tracing kinetics with quantitative information on labeling patterns, extents and rates on a metabolome-wide scale. We curate a system-wide metabolic network to characterize metabolic homeostasis and disclose a system-wide loss of metabolic coordinations that impacts both intra- and inter-tissue metabolic homeostasis significantly during Drosophila aging. Importantly, we reveal an unappreciated metabolic diversion from glycolysis to serine metabolism and purine metabolism as Drosophila aging. The developed technology facilitates a system-level understanding of metabolic regulation in living organisms.
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spelling pubmed-92094252022-06-22 Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila Wang, Ruohong Yin, Yandong Li, Jingshu Wang, Hongmiao Lv, Wanting Gao, Yang Wang, Tangci Zhong, Yedan Zhou, Zhiwei Cai, Yuping Su, Xiaoyang Liu, Nan Zhu, Zheng-Jiang Nat Commun Article System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Delineating system-wide metabolic homeostasis at the whole-organism level remains challenging. Here, we develop a global isotope tracing metabolomics technology to measure labeled metabolites with a metabolome-wide coverage. Using Drosophila as an aging model organism, we probe the in vivo tracing kinetics with quantitative information on labeling patterns, extents and rates on a metabolome-wide scale. We curate a system-wide metabolic network to characterize metabolic homeostasis and disclose a system-wide loss of metabolic coordinations that impacts both intra- and inter-tissue metabolic homeostasis significantly during Drosophila aging. Importantly, we reveal an unappreciated metabolic diversion from glycolysis to serine metabolism and purine metabolism as Drosophila aging. The developed technology facilitates a system-level understanding of metabolic regulation in living organisms. Nature Publishing Group UK 2022-06-20 /pmc/articles/PMC9209425/ /pubmed/35725845 http://dx.doi.org/10.1038/s41467-022-31268-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Ruohong
Yin, Yandong
Li, Jingshu
Wang, Hongmiao
Lv, Wanting
Gao, Yang
Wang, Tangci
Zhong, Yedan
Zhou, Zhiwei
Cai, Yuping
Su, Xiaoyang
Liu, Nan
Zhu, Zheng-Jiang
Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila
title Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila
title_full Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila
title_fullStr Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila
title_full_unstemmed Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila
title_short Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila
title_sort global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging drosophila
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209425/
https://www.ncbi.nlm.nih.gov/pubmed/35725845
http://dx.doi.org/10.1038/s41467-022-31268-6
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