Plasma lipidome and risk of atrial fibrillation: results from the PREDIMED trial

Autor: Estefania Toledo, Clemens Wittenbecher, Cristina Razquin, Miguel Ruiz-Canela, Clary B. Clish, Liming Liang, Alvaro Alonso, Pablo Hernández-Alonso, Nerea Becerra-Tomás, Fernando Arós-Borau, Dolores Corella, Emilio Ros, Ramón Estruch, Antonio García-Rodríguez, Montserrat Fitó, José Lapetra, Miquel Fiol, Ángel M. Alonso-Gomez, Luis Serra-Majem, Amy Deik, Jordi Salas-Salvadó, Frank B. Hu, Miguel A. Martínez-González
Rok vydání: 2023
Předmět:
Zdroj: Journal of Physiology and Biochemistry.
ISSN: 1877-8755
1138-7548
DOI: 10.1007/s13105-023-00958-0
Popis: 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 per+1SD of 1.32 (95% confidence interval: 1.16–1.51; p Current Controlled Trials number, ISRCTN35739639.
Databáze: OpenAIRE
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