Articles producció científica> Bioquímica i Biotecnologia

Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study

  • Identification data

    Identifier: imarina:5767490
    Authors:
    Hernandez-Alonso, PabloPapandreou, ChristopherBullo, MonicaRuiz-Canela, MiguelDennis, CourtneyDeik, AmyWang, Dong DGuasch-Ferre, MartaYu, EdwardToledo, EstefaniaRazquin, CristinaCorella, DoloresEstruch, RamonRos, EmilioFito, MontserratAros, FernandoFiol, MiquelSerra-Majem, LluisLiang, LimingClish, Clary BMartinez-Gonzalez, Miguel AHu, Frank BSalas-Salvado, Jordi
    Abstract:
    Scope 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.
  • Others:

    Author, as appears in the article.: Hernandez-Alonso, Pablo; Papandreou, Christopher; Bullo, Monica; Ruiz-Canela, Miguel; Dennis, Courtney; Deik, Amy; Wang, Dong D; Guasch-Ferre, Marta; Yu, Edward; Toledo, Estefania; Razquin, Cristina; Corella, Dolores; Estruch, Ramon; Ros, Emilio; Fito, Montserrat; Aros, Fernando; Fiol, Miquel; Serra-Majem, Lluis; Liang, Liming; Clish, Clary B; Martinez-Gonzalez, Miguel A; Hu, Frank B; Salas-Salvado, Jordi
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Bulló Bonet, Mònica / Salas Salvadó, Jorge
    Keywords: Wine Smoking Sensitivity and specificity Risk Resveratrol Red wine Middle aged Metabolomics Metabolites Male Lipidomics Lc-ms Humans Female Eating Discovery Diet Cross-sectional studies Cardiovascular-disease Blood Biomarker Area under curve Alcohol-consumption Aged metabolomics metabolites lipidomics lc-ms
    Abstract: Scope 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.
    Thematic Areas: Saúde coletiva Química Nutrição Medicina veterinaria Medicina ii Medicina i Interdisciplinar Food science & technology Food science Farmacia Educação física Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Biotecnología Biotechnology Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 16134125
    Author's mail: monica.bullo@urv.cat jordi.salas@urv.cat
    Author identifier: 0000-0002-0218-7046 0000-0003-2700-7459
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mnfr.201900140
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Molecular Nutrition & Food Research. 63 (17): e1900140-
    APA: Hernandez-Alonso, Pablo; Papandreou, Christopher; Bullo, Monica; Ruiz-Canela, Miguel; Dennis, Courtney; Deik, Amy; Wang, Dong D; Guasch-Ferre, Marta; (2019). Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study. Molecular Nutrition & Food Research, 63(17), e1900140-. DOI: 10.1002/mnfr.201900140
    Article's DOI: 10.1002/mnfr.201900140
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2019
    Publication Type: Journal Publications
  • Keywords:

    Biotechnology,Food Science,Food Science & Technology
    Wine
    Smoking
    Sensitivity and specificity
    Risk
    Resveratrol
    Red wine
    Middle aged
    Metabolomics
    Metabolites
    Male
    Lipidomics
    Lc-ms
    Humans
    Female
    Eating
    Discovery
    Diet
    Cross-sectional studies
    Cardiovascular-disease
    Blood
    Biomarker
    Area under curve
    Alcohol-consumption
    Aged
    metabolomics
    metabolites
    lipidomics
    lc-ms
    Saúde coletiva
    Química
    Nutrição
    Medicina veterinaria
    Medicina ii
    Medicina i
    Interdisciplinar
    Food science & technology
    Food science
    Farmacia
    Educação física
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Biotechnology
    Astronomia / física
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