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Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men

(1) Background: Aging is associated with a progressive decline in muscle mass and function. Aging is also a primary risk factor for metabolic syndrome, which further alters muscle metabolism. However, the molecular mechanisms involved remain to be clarified. Herein we performed omic profiling to dec...

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Autores principales: Gueugneau, Marine, Coudy-Gandilhon, Cécile, Chambon, Christophe, Verney, Julien, Taillandier, Daniel, Combaret, Lydie, Polge, Cécile, Walrand, Stéphane, Roche, Frédéric, Barthélémy, Jean-Claude, Féasson, Léonard, Béchet, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074053/
https://www.ncbi.nlm.nih.gov/pubmed/33921590
http://dx.doi.org/10.3390/ijms22084205
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author Gueugneau, Marine
Coudy-Gandilhon, Cécile
Chambon, Christophe
Verney, Julien
Taillandier, Daniel
Combaret, Lydie
Polge, Cécile
Walrand, Stéphane
Roche, Frédéric
Barthélémy, Jean-Claude
Féasson, Léonard
Béchet, Daniel
author_facet Gueugneau, Marine
Coudy-Gandilhon, Cécile
Chambon, Christophe
Verney, Julien
Taillandier, Daniel
Combaret, Lydie
Polge, Cécile
Walrand, Stéphane
Roche, Frédéric
Barthélémy, Jean-Claude
Féasson, Léonard
Béchet, Daniel
author_sort Gueugneau, Marine
collection PubMed
description (1) Background: Aging is associated with a progressive decline in muscle mass and function. Aging is also a primary risk factor for metabolic syndrome, which further alters muscle metabolism. However, the molecular mechanisms involved remain to be clarified. Herein we performed omic profiling to decipher in muscle which dominating processes are associated with healthy aging and metabolic syndrome in old men. (2) Methods: This study included 15 healthy young, 15 healthy old, and 9 old men with metabolic syndrome. Old men were selected from a well-characterized cohort, and each vastus lateralis biopsy was used to combine global transcriptomic and proteomic analyses. (3) Results: Over-representation analysis of differentially expressed genes (ORA) and functional class scoring of pathways (FCS) indicated that healthy aging was mainly associated with upregulations of apoptosis and immune function and downregulations of glycolysis and protein catabolism. ORA and FCS indicated that with metabolic syndrome the dominating biological processes were upregulation of proteolysis and downregulation of oxidative phosphorylation. Proteomic profiling matched 586 muscle proteins between individuals. The proteome of healthy aging revealed modifications consistent with a fast-to-slow transition and downregulation of glycolysis. These transitions were reduced with metabolic syndrome, which was more associated with alterations in NADH/NAD(+) shuttle and β-oxidation. Proteomic profiling further showed that all old muscles overexpressed protein chaperones to preserve proteostasis and myofiber integrity. There was also evidence of aging-related increases in reactive oxygen species but better detoxifications of cytotoxic aldehydes and membrane protection in healthy than in metabolic syndrome muscles. (4) Conclusions: Most candidate proteins and mRNAs identified herein constitute putative muscle biomarkers of healthy aging and metabolic syndrome in old men.
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spelling pubmed-80740532021-04-27 Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men Gueugneau, Marine Coudy-Gandilhon, Cécile Chambon, Christophe Verney, Julien Taillandier, Daniel Combaret, Lydie Polge, Cécile Walrand, Stéphane Roche, Frédéric Barthélémy, Jean-Claude Féasson, Léonard Béchet, Daniel Int J Mol Sci Article (1) Background: Aging is associated with a progressive decline in muscle mass and function. Aging is also a primary risk factor for metabolic syndrome, which further alters muscle metabolism. However, the molecular mechanisms involved remain to be clarified. Herein we performed omic profiling to decipher in muscle which dominating processes are associated with healthy aging and metabolic syndrome in old men. (2) Methods: This study included 15 healthy young, 15 healthy old, and 9 old men with metabolic syndrome. Old men were selected from a well-characterized cohort, and each vastus lateralis biopsy was used to combine global transcriptomic and proteomic analyses. (3) Results: Over-representation analysis of differentially expressed genes (ORA) and functional class scoring of pathways (FCS) indicated that healthy aging was mainly associated with upregulations of apoptosis and immune function and downregulations of glycolysis and protein catabolism. ORA and FCS indicated that with metabolic syndrome the dominating biological processes were upregulation of proteolysis and downregulation of oxidative phosphorylation. Proteomic profiling matched 586 muscle proteins between individuals. The proteome of healthy aging revealed modifications consistent with a fast-to-slow transition and downregulation of glycolysis. These transitions were reduced with metabolic syndrome, which was more associated with alterations in NADH/NAD(+) shuttle and β-oxidation. Proteomic profiling further showed that all old muscles overexpressed protein chaperones to preserve proteostasis and myofiber integrity. There was also evidence of aging-related increases in reactive oxygen species but better detoxifications of cytotoxic aldehydes and membrane protection in healthy than in metabolic syndrome muscles. (4) Conclusions: Most candidate proteins and mRNAs identified herein constitute putative muscle biomarkers of healthy aging and metabolic syndrome in old men. MDPI 2021-04-19 /pmc/articles/PMC8074053/ /pubmed/33921590 http://dx.doi.org/10.3390/ijms22084205 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gueugneau, Marine
Coudy-Gandilhon, Cécile
Chambon, Christophe
Verney, Julien
Taillandier, Daniel
Combaret, Lydie
Polge, Cécile
Walrand, Stéphane
Roche, Frédéric
Barthélémy, Jean-Claude
Féasson, Léonard
Béchet, Daniel
Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men
title Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men
title_full Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men
title_fullStr Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men
title_full_unstemmed Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men
title_short Muscle Proteomic and Transcriptomic Profiling of Healthy Aging and Metabolic Syndrome in Men
title_sort muscle proteomic and transcriptomic profiling of healthy aging and metabolic syndrome in men
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074053/
https://www.ncbi.nlm.nih.gov/pubmed/33921590
http://dx.doi.org/10.3390/ijms22084205
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