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https://accedacris.ulpgc.es/jspui/handle/10553/139760
| Title: | A multi-metabolite signature robustly predicts long-term mortality in the PREDIMED trial and several US cohorts | Authors: | Fernández-Duval, Gonzalo Razquin, Cristina Wang, Fenglei Yun, Huan Hu, Jie Guasch-Ferré, Marta Rexrode, Kathryn Balasubramanian, Raji García-Gavilán, Jesús Ruiz-Canela, Miguel Clish, Clary B. Corella, Dolores Gómez-Gracia, Enrique Fiol, Miquel Estruch, Ramón Lapetra, José Fitó, Montse Serra Majem, Luis Ros, Emilio Liang, Liming Dennis, Courtney Asensio, Eva M. Castañer, Olga Planes, Francisco J. Salas-Salvadó, Jordi Hu, Frank B. Toledo, Estefanía Martínez-González, Miguel A. |
UNESCO Clasification: | 32 Ciencias médicas 3206 Ciencias de la nutrición |
Keywords: | All-Cause Mortality Biomarkers Metabolomic Metabolomic Signature Plasma Metabolites, et al |
Issue Date: | 2025 | Journal: | Metabolism: Clinical and Experimental | Abstract: | Metabolome-based biomarkers contribute to identify mechanisms of disease and to a better understanding of overall mortality. In a long-term follow-up subsample (n = 1878) of the PREDIMED trial, among 337 candidate baseline plasma metabolites repeatedly assessed at baseline and after 1 year, 38 plasma metabolites were identified as predictors of all-cause mortality. Gamma-amino-butyric acid (GABA), homoarginine, serine, creatine, 1-methylnicotinamide and a set of sphingomyelins, plasmalogens, phosphatidylethanolamines and cholesterol esters were inversely associated with all-cause mortality, whereas plasma dimethylguanidino valeric acid (DMGV), choline, short and long-chain acylcarnitines, 4-acetamidobutanoate, pseudouridine, 7-methylguanine, N6-acetyllysine, phenylacetylglutamine and creatinine were associated with higher mortality. The multi-metabolite signature created as a linear combination of these selected metabolites, also showed a strong association with all-cause mortality using plasma samples collected at 1-year follow-up in PREDIMED. This association was subsequently confirmed in 4 independent American cohorts, validating the signature as a consistent predictor of all-cause mortality across diverse populations. | URI: | https://accedacris.ulpgc.es/handle/10553/139760 | ISSN: | 0026-0495 | DOI: | 10.1016/j.metabol.2025.156195 | Source: | Metabolism-Clinical And Experimental [ISSN 0026-0495], v. 170, (Septiembre 2025) |
| Appears in Collections: | Artículos |
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