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

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Plasma Metabolites Associated with Frequent Red Wine Consumption : A Metabolomics Approach within the PREDIMED Study. / 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, Lluís; Liang, Liming; Clish, Clary B.; Martínez-González, Miguel A.; Hu, Frank B.; Salas-Salvadó, Jordi.

In: Molecular Nutrition and Food Research, Vol. 63, No. 17, 1900140, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hernández-Alonso, P, Papandreou, C, Bulló, M, Ruiz-Canela, M, Dennis, C, Deik, A, Wang, DD, Guasch-Ferré, M, Yu, E, Toledo, E, Razquin, C, Corella, D, Estruch, R, Ros, E, Fitó, M, Arós, F, Fiol, M, Serra-Majem, L, Liang, L, Clish, CB, Martínez-González, MA, Hu, FB & Salas-Salvadó, J 2019, 'Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study', Molecular Nutrition and Food Research, vol. 63, no. 17, 1900140. https://doi.org/10.1002/mnfr.201900140

APA

Hernández-Alonso, P., Papandreou, C., Bulló, M., Ruiz-Canela, M., Dennis, C., Deik, A., Wang, D. D., Guasch-Ferré, M., Yu, E., Toledo, E., Razquin, C., Corella, D., Estruch, R., Ros, E., Fitó, M., Arós, F., Fiol, M., Serra-Majem, L., Liang, L., ... Salas-Salvadó, J. (2019). Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study. Molecular Nutrition and Food Research, 63(17), [1900140]. https://doi.org/10.1002/mnfr.201900140

Vancouver

Hernández-Alonso P, Papandreou C, Bulló M, Ruiz-Canela M, Dennis C, Deik A et al. Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study. Molecular Nutrition and Food Research. 2019;63(17). 1900140. https://doi.org/10.1002/mnfr.201900140

Author

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, Lluís ; Liang, Liming ; Clish, Clary B. ; Martínez-González, Miguel A. ; Hu, Frank B. ; Salas-Salvadó, Jordi. / Plasma Metabolites Associated with Frequent Red Wine Consumption : A Metabolomics Approach within the PREDIMED Study. In: Molecular Nutrition and Food Research. 2019 ; Vol. 63, No. 17.

Bibtex

@article{4b7095f176d648bb8937afadf29d24a6,
title = "Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study",
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.",
keywords = "LC-MS, lipidomics, metabolites, metabolomics, red wine",
author = "Pablo Hern{\'a}ndez-Alonso and Christopher Papandreou and M{\`o}nica Bull{\'o} and Miguel Ruiz-Canela and Courtney Dennis and Amy Deik and Wang, {Dong D.} and Marta Guasch-Ferr{\'e} and Edward Yu and Estefan{\'i}a Toledo and Cristina Razquin and Dolores Corella and Ramon Estruch and Emilio Ros and Montserrat Fit{\'o} and Fernando Ar{\'o}s and Miquel Fiol and Llu{\'i}s Serra-Majem and Liming Liang and Clish, {Clary B.} and Mart{\'i}nez-Gonz{\'a}lez, {Miguel A.} and Hu, {Frank B.} and Jordi Salas-Salvad{\'o}",
note = "Publisher Copyright: {\textcopyright} 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim",
year = "2019",
doi = "10.1002/mnfr.201900140",
language = "English",
volume = "63",
journal = "Molecular Nutrition and Food Research",
issn = "1613-4125",
publisher = "Wiley - V C H Verlag GmbH & Co. KGaA",
number = "17",

}

RIS

TY - JOUR

T1 - Plasma Metabolites Associated with Frequent Red Wine Consumption

T2 - A Metabolomics Approach within the PREDIMED Study

AU - Hernández-Alonso, Pablo

AU - Papandreou, Christopher

AU - Bulló, Mònica

AU - Ruiz-Canela, Miguel

AU - Dennis, Courtney

AU - Deik, Amy

AU - Wang, Dong D.

AU - Guasch-Ferré, Marta

AU - Yu, Edward

AU - Toledo, Estefanía

AU - Razquin, Cristina

AU - Corella, Dolores

AU - Estruch, Ramon

AU - Ros, Emilio

AU - Fitó, Montserrat

AU - Arós, Fernando

AU - Fiol, Miquel

AU - Serra-Majem, Lluís

AU - Liang, Liming

AU - Clish, Clary B.

AU - Martínez-González, Miguel A.

AU - Hu, Frank B.

AU - Salas-Salvadó, Jordi

N1 - Publisher Copyright: © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - LC-MS

KW - lipidomics

KW - metabolites

KW - metabolomics

KW - red wine

U2 - 10.1002/mnfr.201900140

DO - 10.1002/mnfr.201900140

M3 - Journal article

C2 - 31291050

AN - SCOPUS:85069833856

VL - 63

JO - Molecular Nutrition and Food Research

JF - Molecular Nutrition and Food Research

SN - 1613-4125

IS - 17

M1 - 1900140

ER -

ID: 357992998