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

• DOI: 10.1016/j.ebiom.2021.103440
• Publication Date: 2021-06-20T13:00:48Z
• Authors: Blandine Comte; Stéphanie Monnerie; Marion Brandolini...; Cécile Canlet; Florence Castelli; Emeline Chu-Van; Benoit Colsch; François Fenaille; Charlotte Joly; Fabien Jourdan; Natacha Lenuzza; Bernard Lyan; Jean-François Martin; Carole Migné; José A. Morais; Mélanie Pétéra; Nathalie Poupin; Florence Vinson; Etienne Thevenot; Christophe Junot; Pierrette Gaudreau; Estelle Pujos-Gui...
• Keywords: Metabolome; Lipidome; Phenome; Metabolic network

BackgroundMetabolic syndrome (MetS), a cluster of factors associated with risks developing cardiovascular diseases, is public health concern because its growing prevalence. Considering the combination concomitant components, their development and severity, MetS phenotypes are largely heterogeneous, inducing disparity in diagnosis.MethodsA case/control study was designed within NuAge longitudinal cohort on aging. From 3-year follow-up 123 stable individuals, we present deep phenotyping approach based multiplatform metabolomics lipidomics untargeted strategy to better characterize metabolic perturbations define comprehensive signature over time older men.FindingsWe significant changes MetS, involving modulations 476 metabolites lipids, representing 16% detected serum metabolome/lipidome. These results revealed systemic alteration metabolism, various pathways (urea cycle, amino-acid, sphingo- glycerophospholipid, sugar metabolisms…) not only intrinsically interrelated, but also reflecting environmental (nutrition, microbiota, physical activity…).InterpretationThese findings allowed identifying signature, reduced 26 for future translation into clinical applications diagnosing MetS.FundingThe Study supported by research grant from Canadian Institutes Health Research (CIHR; MOP-62842). The actual Database Biobank, containing data biologic samples 1,753 participants (from initial 1,793 participants), Fonds de recherche du Québec (FRQ; 2020-VICO-279753), Quebec Network Aging, thematic network funded Recherche - Santé (FRQS) Merck-Frost Chair La Fondation l'Université Sherbrooke. All analyses were performed metaboHUB French infrastructure (ANR-INBS-0010).All authors had full access accept responsibility submit publication.