Input of multidimensional phenotyping in the metabolic syndrome stratification - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Poster De Conférence Année : 2017

Input of multidimensional phenotyping in the metabolic syndrome stratification

Résumé

Introduction: Metabolic syndrome (MetS) is defined by a cluster of cardio-metabolic factors including obesity, hypertension, dysglycemia, and dyslipidemia. It affects a growing number of persons,in particular older adults often suffering from multiple chronic diseases, and its prevalence is now a public health challenge. In the context of personalized medicine/nutrition, new tools are necessary to bring additional knowledge about MetS etiology, better stratify populations and customise strategies for prevention. Methods: A nested case-control study on MetS was designed within the Quebec Longitudinal Study on Nutrition and Successful Aging (NuAge). It includes 61 cases and 62 controls of similar age (68–82 y.o.), selected among the 853 men. Both targeted and untargeted metabolomic/lipidomic approaches, available within the Metabo-HUB French infrastructure [1], will be performed on serum samples collected at recruitment 2003–2005 (T1) and three years later (T4). Data analysis will be performed using reproducible online Galaxy workflows [2]. Results: The metabolomic/lipidomic data will be processed to identify specific signatures of MetS and its components, and study their stability over time. Then, these data will be analysed for evaluation of a molecular reclassification of the MetS phenotype. Finally, they will be integrated with phenotypic and detailed nutritional data available to better characterize sub-phenotypes
Fichier principal
Vignette du fichier
2017_Book of Abstracts_EUGMS_Nice_1.pdf (3.83 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-02735920 , version 1 (02-06-2020)

Licence

Paternité - Partage selon les Conditions Initiales

Identifiants

  • HAL Id : hal-02735920 , version 1
  • PRODINRA : 409328

Citer

Estelle Pujos-Guillot, Stéphanie Monnerie, E Thévenot, C Junot, J Morais, et al.. Input of multidimensional phenotyping in the metabolic syndrome stratification. 13th Congress of the European Union Geriatric Medicine Society (EUGMS), Sep 2017, Nice, France. European Geriatric Medicine, 8, 276 p., 2017, 13th International Congress of the European Union Geriatric Medicine Society –Developing Preventive Actions in Geriatrics. ⟨hal-02735920⟩
49 Consultations
275 Téléchargements

Partager

Gmail Facebook X LinkedIn More