Deik, A. (Amy)
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- Plasma Metabolites Associated with Coffee Consumption: A Metabolomic Approach within the PREDIMED Study(MDPI, 2019) Martinez-Gonzalez, M.A. (Miguel Ángel); Fiol, M. (Miquel); Clish, C.B. (Clary B.); Fito, M. (Montserrat); Hu, F.B. (Frank B.); Toledo, E. (Estefanía); Hernandez-Alonso, P. (Pablo); Yu, E. (Edward); Lapetra, J. (José); Guasch-Ferre, M. (Marta); Papandreou, C. (Christopher); Deik, A. (Amy); Razquin, C. (Cristina); Liang, L. (Liming); Ros, E. (Emilio); Ruiz-Canela, M. (Miguel); Bullo, M. (Monica); Dennis, C. (Courtney); Estruch, R. (Ramón); Corella, D. (Dolores); Salas-Salvado, J. (Jordi); Aros, F. (Fernando); Ruano, C. (Cristina)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.
- Plasma lipidome and risk of atrial fibrillation: results from the PREDIMED trial(Springer, 2023) Martinez-Gonzalez, M.A. (Miguel Ángel); Fiol, M. (Miquel); Clish, C.B. (Clary B.); Fito, M. (Montserrat); Hu, F.B. (Frank B.); Garcia-Rodriguez, A. (Antonio); Wittenbecher, C. (Clemens); Becerra-Tomas, N. (Nerea); Toledo, E. (Estefanía); Hernandez-Alonso, P. (Pablo); Lapetra, J. (José); Deik, A. (Amy); Razquin, C. (Cristina); Liang, L. (Liming); Ros, E. (Emilio); Ruiz-Canela, M. (Miguel); Alonso, A. (Alvaro); Alonso-Gomez, A. (Ángel); Estruch, R. (Ramón); Serra-Majem, L. (Luis); Corella, D. (Dolores); Salas-Salvado, J. (Jordi); Aros, F. (Fernando)The potential role of the lipidome in atrial fibrillation (AF) development is still widely unknown. We aimed to assess the association between lipidome profiles of the Prevención con Dieta Mediterránea (PREDIMED) trial participants and incidence of AF. We conducted a nested case-control study (512 incident centrally adjudicated AF cases and 735 controls matched by age, sex, and center). Baseline plasma lipids were profiled using a Nexera X2 U-HPLC system coupled to an Exactive Plus orbitrap mass spectrometer. We estimated the association between 216 individual lipids and AF using multivariable conditional logistic regression and adjusted the p values for multiple testing. We also examined the joint association of lipid clusters with AF incidence. Hitherto, we estimated the lipidomics network, used machine learning to select important network-clusters and AF-predictive lipid patterns, and summarized the joint association of these lipid patterns weighted scores. Finally, we addressed the possible interaction by the randomized dietary intervention.Forty-one individual lipids were associated with AF at the nominal level (p < 0.05), but no longer after adjustment for multiple-testing. However, the network-based score identified with a robust data-driven lipid network showed a multivariable-adjusted ORper+1SD of 1.32 (95% confidence interval: 1.16-1.51; p < 0.001). The score included PC plasmalogens and PE plasmalogens, palmitoyl-EA, cholesterol, CE 16:0, PC 36:4;O, and TG 53:3. No interaction with the dietary intervention was found. A multilipid score, primarily made up of plasmalogens, was associated with an increased risk of AF. Future studies are needed to get further insights into the lipidome role on AF.Current Controlled Trials number, ISRCTN35739639.