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.
Highlights
Coffee, a widely consumed beverage worldwide [1], has been associated with both beneficial and detrimental effects on health-related outcomes, harmful associations have been shown to be largely nullified by adequate adjustment for smoking [2]
Using a validated multiplatform metabolomics analysis, cross-sectional associations between plasma levels of identified metabolites with self-reported total, caffeinated, or decaffeinated coffee consumption were examined in participants of the PREDIMED (Prevención con DietaMediterránea) study
Due to the characteristics of the population being at high risk of cardiovascular disease (CVD) and >86% of them reported to have hypertension, the majority of them (n = 363) presented daily coffee consumption of 50 mL per day followed by 241 participants consuming 125 mL per day
Summary
A widely consumed beverage worldwide [1], has been associated with both beneficial and detrimental effects on health-related outcomes, harmful associations have been shown to be largely nullified by adequate adjustment for smoking [2]. The most commonly consumed types of coffee, caffeinated and decaffeinated, have consistently been associated with a lower risk of type 2 diabetes (T2D) [3] These findings are based on self-reported dietary assessment methods that might be subject to some degree of misclassification or measurement error [4]. Coffee contains a variety of compounds, many of which may impact metabolic pathways related to disease development or prevention In this regard, coffee consumption has been found to be positively associated with two classes of sphingomyelins and negatively associated with long- and medium-chain acylcarnitines in plasma among 284 men of the KORA study population [6]. Using a validated multiplatform metabolomics analysis, cross-sectional associations between plasma levels of identified metabolites with self-reported total, caffeinated, or decaffeinated coffee consumption were examined in participants of the PREDIMED (Prevención con DietaMediterránea) study. The ability of metabolites to discriminate between total and the aforementioned types of coffee consumption categories was investigated
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