Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/handle/10553/139760
Título: A multi-metabolite signature robustly predicts long-term mortality in the PREDIMED trial and several US cohorts
Autores/as: 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.
Clasificación UNESCO: 32 Ciencias médicas
3206 Ciencias de la nutrición
Palabras clave: All-Cause Mortality
Biomarkers
Metabolomic
Metabolomic Signature
Plasma Metabolites
Fecha de publicación: 2025
Publicación seriada: Metabolism: Clinical and Experimental 
Resumen: 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
Fuente: Metabolism: Clinical and Experimental[ISSN 0026-0495], (Marzo 2025)
Colección:Artículos
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