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

Autor: 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
Přispěvatelé: Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Qualité des Produits Animaux (QuaPA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne (UCA)-UFR Sciences et Techniques des Activités Physiques et Sportives - Clermont-Auvergne (UFR STAPS - UCA), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Hôpital Nord - Faculté de MédecineJacques Lisfranc, Service de Physiologie Clinique et de l'Exercice, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), INSERM U1059, SAINBIOSE - Santé, Ingénierie, Biologie, Saint-Etienne (SAINBIOSE-ENSMSE), Centre Ingénierie et Santé (CIS-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de physiologie clinique, unité de myologie, CHU Saint-Etienne, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), European Commission MyoAge EC Fp7 CT-223756Caisse d'Epargne Rhone Alpes (CERA Sarcopenie) 30European CommissionRegion Auvergne-Rhone-AlpesEuropean Commission, ANR-16-IDEX-0001,CAP 20-25,CAP 20-25(2016), Service de Physiologie Clinique et de l'Exercice [CHU de Saint-Etienne], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Jean Monnet - Saint-Étienne (UJM), Santé Ingénierie Biologie Saint-Etienne (SAINBIOSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Molecular Sciences
International Journal of Molecular Sciences, MDPI, 2021, 22 (8), pp.4205. ⟨10.3390/ijms22084205⟩
Volume 22
Issue 8
International Journal of Molecular Sciences, Vol 22, Iss 4205, p 4205 (2021)
International Journal of Molecular Sciences, 2021, 22 (8), pp.4205. ⟨10.3390/ijms22084205⟩
ISSN: 1661-6596
1422-0067
DOI: 10.3390/ijms22084205⟩
Popis: International audience; (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.
Databáze: OpenAIRE
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