Plasma metabolites associated with coffee consumption: A metabolomic approach within the PREDIMED study
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Plasma metabolites associated with coffee consumption : A metabolomic approach within the PREDIMED study. / 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, Cristina; Liang, Liming; Martínez-González, Miguel A.; Hu, Frank B.; Salas-Salvadó, Jordi.
In: Nutrients, Vol. 11, No. 5, 1032, 2019.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Plasma metabolites associated with coffee consumption
T2 - A metabolomic approach within the PREDIMED study
AU - Papandreou, Christopher
AU - Hernández-Alonso, Pablo
AU - Bulló, Mònica
AU - Ruiz-Canela, Miguel
AU - Yu, Edward
AU - Guasch-Ferré, Marta
AU - Toledo, Estefanía
AU - Dennis, Courtney
AU - Deik, Amy
AU - Clish, Clary
AU - Razquin, Cristina
AU - Corella, Dolores
AU - Estruch, Ramon
AU - Ros, Emilio
AU - Fitó, Montserrat
AU - Arós, Fernando
AU - Fiol, Miquel
AU - Lapetra, José
AU - Ruano, Cristina
AU - Liang, Liming
AU - Martínez-González, Miguel A.
AU - Hu, Frank B.
AU - Salas-Salvadó, Jordi
N1 - Publisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Caffeine
KW - Coffee
KW - Metabolomics
KW - Plasma
KW - PREDIMED
U2 - 10.3390/nu11051032
DO - 10.3390/nu11051032
M3 - Journal article
C2 - 31072000
AN - SCOPUS:85065886222
VL - 11
JO - Nutrients
JF - Nutrients
SN - 2072-6643
IS - 5
M1 - 1032
ER -
ID: 357995592