Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/69910
Título: Plasma metabolites associated with coffee consumption: A metabolomic approach within the PREDIMED study
Autores/as: Papandreou, Christopher
Hernández-Alonso, Pablo
Bulló, Mònica
Ruiz-Canela, Miguel
Yu, Edward
Guasch-Ferré, Marta
Toledo, Estefanía
Dennis, Courtney
Deik, Amy
Clish, Clary
Razquin, Cristina
Corella, Dolores
Estruch, Ramon
Ros, Emilio
Fitó, Montserrat
Arós, Fernando
Fiol, Miquel
Lapetra, José
Ruano Rodriguez, Cristina 
Liang, Liming
Martínez-González, Miguel A.
Hu, Frank B.
Salas-Salvadó, Jordi
Clasificación UNESCO: 32 Ciencias médicas
Palabras clave: Caffeine
Coffee
Metabolomics
Plasma
Predimed
Fecha de publicación: 2019
Publicación seriada: Nutrients 
Resumen: 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.
URI: http://hdl.handle.net/10553/69910
ISSN: 2072-6643
DOI: 10.3390/nu11051032
Fuente: Nutrients [ISSN 2072-6643], v. 11 (5), (Mayo 2019)
Colección:Artículos
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