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Multiplatform metabolomics for an integrative exploration of metabolic syndrome in older men.

Authors :
Comte B
Monnerie S
Brandolini-Bunlon M
Canlet C
Castelli F
Chu-Van E
Colsch B
Fenaille F
Joly C
Jourdan F
Lenuzza N
Lyan B
Martin JF
Migné C
Morais JA
Pétéra M
Poupin N
Vinson F
Thevenot E
Junot C
Gaudreau P
Pujos-Guillot E
Source :
EBioMedicine [EBioMedicine] 2021 Jul; Vol. 69, pp. 103440. Date of Electronic Publication: 2021 Jun 20.
Publication Year :
2021

Abstract

Background: Metabolic syndrome (MetS), a cluster of factors associated with risks of developing cardiovascular diseases, is a public health concern because of its growing prevalence. Considering the combination of concomitant components, their development and severity, MetS phenotypes are largely heterogeneous, inducing disparity in diagnosis.<br />Methods: A case/control study was designed within the NuAge longitudinal cohort on aging. From a 3-year follow-up of 123 stable individuals, we present a deep phenotyping approach based on a multiplatform metabolomics and lipidomics untargeted strategy to better characterize metabolic perturbations in MetS and define a comprehensive MetS signature stable over time in older men.<br />Findings: We characterize significant changes associated with MetS, involving modulations of 476 metabolites and lipids, and representing 16% of the detected serum metabolome/lipidome. These results revealed a systemic alteration of metabolism, involving various metabolic pathways (urea cycle, amino-acid, sphingo- and glycerophospholipid, and sugar metabolisms…) not only intrinsically interrelated, but also reflecting environmental factors (nutrition, microbiota, physical activity…).<br />Interpretation: These findings allowed identifying a comprehensive MetS signature, reduced to 26 metabolites for future translation into clinical applications for better diagnosing MetS.<br />Funding: The NuAge Study was supported by a research grant from the Canadian Institutes of Health Research (CIHR; MOP-62842). The actual NuAge Database and Biobank, containing data and biologic samples of 1,753 NuAge participants (from the initial 1,793 participants), are supported by the Fonds de recherche du Québec (FRQ; 2020-VICO-279753), the Quebec Network for Research on Aging, a thematic network funded by the Fonds de Recherche du Québec - Santé (FRQS) and by the Merck-Frost Chair funded by La Fondation de l'Université de Sherbrooke. All metabolomics and lipidomics analyses were funded and performed within the metaboHUB French infrastructure (ANR-INBS-0010). All authors had full access to the full data in the study and accept responsibility to submit for publication.<br />Competing Interests: Declaration of Competing Interest All authors declare they have no conflict of interest.<br /> (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
2352-3964
Volume :
69
Database :
MEDLINE
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
34161887
Full Text :
https://doi.org/10.1016/j.ebiom.2021.103440