Articles producció científica> Bioquímica i Biotecnologia

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

  • Dades identificatives

    Identificador: imarina:5767490
  • Autors:

    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
  • Altres:

    Autor segons l'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;
    Departament: Bioquímica i Biotecnologia
    Autor/s de la URV: Bulló Bonet, Mònica / Salas Salvadó, Jorge
    Paraules clau: lc-ms lipidomics metabolites metabolomics Alcohol-consumption Biomarker Cardiovascular-disease Discovery Lc-ms Lipidomics Metabolites Metabolomics Red wine Resveratrol Risk
    Resum: 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.
    Àrees temàtiques: Astronomia / física Biotechnology Biotecnología Ciência de alimentos Ciências agrárias i Ciências biológicas i Ciências biológicas ii Educação física Farmacia Food science Food science & technology Interdisciplinar Medicina i Medicina ii Medicina veterinaria Nutrição Química Saúde coletiva
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: monica.bullo@urv.cat jordi.salas@urv.cat
    ISSN: 16134125
    Identificador de l'autor: 0000-0002-0218-7046 0000-0003-2700-7459
    Data d'alta del registre: 2023-02-18
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    Enllaç font original: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mnfr.201900140
    Referència a l'article segons font original: Molecular Nutrition & Food Research. 63 (17): e1900140-
    Referència de l'ítem segons les normes 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
    URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1002/mnfr.201900140
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2019
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Biotechnology,Food Science,Food Science & Technology
    lc-ms
    lipidomics
    metabolites
    metabolomics
    Alcohol-consumption
    Biomarker
    Cardiovascular-disease
    Discovery
    Lc-ms
    Lipidomics
    Metabolites
    Metabolomics
    Red wine
    Resveratrol
    Risk
    Astronomia / física
    Biotechnology
    Biotecnología
    Ciência de alimentos
    Ciências agrárias i
    Ciências biológicas i
    Ciências biológicas ii
    Educação física
    Farmacia
    Food science
    Food science & technology
    Interdisciplinar
    Medicina i
    Medicina ii
    Medicina veterinaria
    Nutrição
    Química
    Saúde coletiva
    16134125
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