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Title: Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study
Authors: Hernández-Alonso, Pablo
Papandreou, Christopher
Bulló, Mònica
Ruiz-Canela, Miguel
Dennis, Courtney
Deik, Amy
Wang, Dong D.
Guasch-Ferré, Marta
Yu, Edward
Toledo, Estefanía
Razquin, Cristina
Corella, Dolores
Estruch, Ramon
Ros, Emilio
Fitó, Montserrat
Arós, Fernando
Fiol, Miquel
Serra Majem, Luis 
Liang, Liming
Clish, Clary B.
Martínez-González, Miguel A.
Hu, Frank B.
Salas-Salvadó, Jordi
UNESCO Clasification: 32 Ciencias médicas
Keywords: Lc-Ms
Red Wine
Issue Date: 2019
Journal: Molecular Nutrition and Food Research 
Abstract: The relationship between red wine (RW) consumption and metabolism is poorly understood. It is aimed to assess the systemic metabolomic profiles in relation to frequent RW consumption as well as the ability of a set of metabolites to discriminate RW consumers. Methods and results: A cross-sectional analysis of 1157 participants is carried out. Subjects are divided as non-RW consumers versus RW consumers (>1 glass per day RW [100 mL per day]). Plasma metabolomics analysis is performed using LC–MS. Associations between 386 identified metabolites and RW consumption are assessed using elastic net regression analysis taking into consideration baseline significant covariates. Ten-cross-validation (CV) is performed and receiver operating characteristic curves are constructed in each of the validation datasets based on weighted models. A subset of 13 metabolites is consistently selected and RW consumers versus nonconsumers are discriminated. Based on the multi-metabolite model weighted with the regression coefficients of metabolites, the area under the curve is 0.83 (95% CI: 0.80–0.86). These metabolites mainly consisted of lipid species, some organic acids, and alkaloids. Conclusions: A multi-metabolite model identified in a Mediterranean population appears useful to discriminate between frequent RW consumers and nonconsumers. Further studies are needed to assess the contribution of these metabolites in health and disease.
ISSN: 1613-4125
DOI: 10.1002/mnfr.201900140
Source: Molecular Nutrition & Food Research[ISSN 1613-4125],v. 63 (17), (Septiembre 2019)
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