Articles producció científica> Bioquímica i Biotecnologia

Plasma Metabolites Associated with Coffee Consumption: A Metabolomic Approach within the PREDIMED Study

  • Identification data

    Identifier: imarina:5440338
    Authors:
    Papandreou, ChristopherHernandez-Alonso, PabloBullo, MonicaRuiz-Canela, MiguelYu, EdwardGuasch-Ferre, MartaToledo, EstefaniaDennis, CourtneyDeik, AmyClish, ClaryRazquin, CristinaCorella, DoloresEstruch, RamonRos, EmilioFito, MontserratAros, FernandoFiol, MiquelLapetra, JoseRuano, CristinaLiang, LimingMartinez-Gonzalez, Miguel AHu, Frank BSalas-Salvado, Jordi
    Abstract:
    Few studies have examined the association of a wide range of metabolites with total and subtypes of coffee consumption. The aim of this study was to investigate associations of plasma metabolites with total, caffeinated, and decaffeinated coffee consumption. We also assessed the ability of metabolites to discriminate between coffee consumption categories. This is a cross-sectional analysis of 1664 participants from the PREDIMED study. Metabolites were semiquantitatively profiled using a multiplatform approach. Consumption of total coffee, caffeinated coffee and decaffeinated coffee was assessed by using a validated food frequency questionnaire. We assessed associations between 387 metabolite levels with total, caffeinated, or decaffeinated coffee consumption (≥50 mL coffee/day) using elastic net regression analysis. Ten-fold cross-validation analyses were used to estimate the discriminative accuracy of metabolites for total and subtypes of coffee. We identified different sets of metabolites associated with total coffee, caffeinated and decaffeinated coffee consumption. These metabolites consisted of lipid species (e.g., sphingomyelin, phosphatidylethanolamine, and phosphatidylcholine) or were derived from glycolysis (alpha-glycerophosphate) and polyphenol metabolism (hippurate). Other metabolites included caffeine, 5-acetylamino-6-amino-3-methyluracil, cotinine, kynurenic acid, glycocholate, lactate, and allantoin. The area under the curve (AUC) was 0.60 (95% CI 0.56-0.64), 0.78 (95% CI 0.75-0.81) and 0.52 (95% CI 0.49-0.55), in the multimetabolite model, for total, caffeinated, and decaffeinated coffee consumption, respectively. Our comprehensive metabolic analysis did not result in a new, reliable potential set of metabolites for coffee consumption.
  • Others:

    Author, as appears in the article.: Papandreou, Christopher; Hernandez-Alonso, Pablo; Bullo, Monica; Ruiz-Canela, Miguel; Yu, Edward; Guasch-Ferre, Marta; Toledo, Estefania; Dennis, Courtney; Deik, Amy; Clish, Clary; Razquin, Cristina; Corella, Dolores; Estruch, Ramon; Ros, Emilio; Fito, Montserrat; Aros, Fernando; Fiol, Miquel; Lapetra, Jose; Ruano, Cristina; Liang, Liming; Martinez-Gonzalez, Miguel A; Hu, Frank B; Salas-Salvado, Jordi
    Department: Bioquímica i Biotecnologia
    e-ISSN: 2072-6643
    URV's Author/s: Bulló Bonet, Mònica / Salas Salvadó, Jorge
    Keywords: Serum-lipids Risk Responses Predimed Plasma Nutritional epidemiology Middle aged Metabolomics Metaanalysis Male Identification Humans Female Drinking Cross-sectional studies Cohort studies Coffee Case-control studies Caffeine ingestion Caffeine Biomarkers Aged Acid predimed metabolomics coffee caffeine
    Abstract: Few studies have examined the association of a wide range of metabolites with total and subtypes of coffee consumption. The aim of this study was to investigate associations of plasma metabolites with total, caffeinated, and decaffeinated coffee consumption. We also assessed the ability of metabolites to discriminate between coffee consumption categories. This is a cross-sectional analysis of 1664 participants from the PREDIMED study. Metabolites were semiquantitatively profiled using a multiplatform approach. Consumption of total coffee, caffeinated coffee and decaffeinated coffee was assessed by using a validated food frequency questionnaire. We assessed associations between 387 metabolite levels with total, caffeinated, or decaffeinated coffee consumption (≥50 mL coffee/day) using elastic net regression analysis. Ten-fold cross-validation analyses were used to estimate the discriminative accuracy of metabolites for total and subtypes of coffee. We identified different sets of metabolites associated with total coffee, caffeinated and decaffeinated coffee consumption. These metabolites consisted of lipid species (e.g., sphingomyelin, phosphatidylethanolamine, and phosphatidylcholine) or were derived from glycolysis (alpha-glycerophosphate) and polyphenol metabolism (hippurate). Other metabolites included caffeine, 5-acetylamino-6-amino-3-methyluracil, cotinine, kynurenic acid, glycocholate, lactate, and allantoin. The area under the curve (AUC) was 0.60 (95% CI 0.56-0.64), 0.78 (95% CI 0.75-0.81) and 0.52 (95% CI 0.49-0.55), in the multimetabolite model, for total, caffeinated, and decaffeinated coffee consumption, respectively. Our comprehensive metabolic analysis did not result in a new, reliable potential set of metabolites for coffee consumption.
    Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Planejamento urbano e regional / demografia Nutrition and dietetics Nutrition & dietetics Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Food science Farmacia Engenharias iv Engenharias ii Enfermagem Educação física Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Biotecnología
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 20726643
    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
    Journal volume: 11
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2072-6643/11/5/1032
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Nutrients. 11 (5): 1032-
    APA: Papandreou, Christopher; Hernandez-Alonso, Pablo; Bullo, Monica; Ruiz-Canela, Miguel; Yu, Edward; Guasch-Ferre, Marta; Toledo, Estefania; Dennis, Cour (2019). Plasma Metabolites Associated with Coffee Consumption: A Metabolomic Approach within the PREDIMED Study. Nutrients, 11(5), 1032-. DOI: 10.3390/nu11051032
    Article's DOI: 10.3390/nu11051032
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2019
    Publication Type: Journal Publications
  • Keywords:

    Food Science,Nutrition & Dietetics,Nutrition and Dietetics
    Serum-lipids
    Risk
    Responses
    Predimed
    Plasma
    Nutritional epidemiology
    Middle aged
    Metabolomics
    Metaanalysis
    Male
    Identification
    Humans
    Female
    Drinking
    Cross-sectional studies
    Cohort studies
    Coffee
    Case-control studies
    Caffeine ingestion
    Caffeine
    Biomarkers
    Aged
    Acid
    predimed
    metabolomics
    coffee
    caffeine
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Planejamento urbano e regional / demografia
    Nutrition and dietetics
    Nutrition & dietetics
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Food science
    Farmacia
    Engenharias iv
    Engenharias ii
    Enfermagem
    Educação física
    Economia
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
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