Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/139760
DC FieldValueLanguage
dc.contributor.authorFernández-Duval, Gonzaloen_US
dc.contributor.authorRazquin, Cristinaen_US
dc.contributor.authorWang, Fengleien_US
dc.contributor.authorYun, Huanen_US
dc.contributor.authorHu, Jieen_US
dc.contributor.authorGuasch-Ferré, Martaen_US
dc.contributor.authorRexrode, Kathrynen_US
dc.contributor.authorBalasubramanian, Rajien_US
dc.contributor.authorGarcía-Gavilán, Jesúsen_US
dc.contributor.authorRuiz-Canela, Miguelen_US
dc.contributor.authorClish, Clary B.en_US
dc.contributor.authorCorella, Doloresen_US
dc.contributor.authorGómez-Gracia, Enriqueen_US
dc.contributor.authorFiol, Miquelen_US
dc.contributor.authorEstruch, Ramónen_US
dc.contributor.authorLapetra, Joséen_US
dc.contributor.authorFitó, Montseen_US
dc.contributor.authorSerra Majem, Luisen_US
dc.contributor.authorRos, Emilioen_US
dc.contributor.authorLiang, Limingen_US
dc.contributor.authorDennis, Courtneyen_US
dc.contributor.authorAsensio, Eva M.en_US
dc.contributor.authorCastañer, Olgaen_US
dc.contributor.authorPlanes, Francisco J.en_US
dc.contributor.authorSalas-Salvadó, Jordien_US
dc.contributor.authorHu, Frank B.en_US
dc.contributor.authorToledo, Estefaníaen_US
dc.contributor.authorMartínez-González, Miguel A.en_US
dc.date.accessioned2025-06-09T15:40:13Z-
dc.date.available2025-06-09T15:40:13Z-
dc.date.issued2025en_US
dc.identifier.issn0026-0495en_US
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/139760-
dc.description.abstractMetabolome-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.en_US
dc.languageengen_US
dc.relation.ispartofMetabolism: Clinical and Experimentalen_US
dc.sourceMetabolism-Clinical And Experimental [ISSN 0026-0495], v. 170, (Septiembre 2025)en_US
dc.subject32 Ciencias médicasen_US
dc.subject3206 Ciencias de la nutriciónen_US
dc.subject.otherAll-Cause Mortalityen_US
dc.subject.otherBiomarkersen_US
dc.subject.otherMetabolomicen_US
dc.subject.otherMetabolomic Signatureen_US
dc.subject.otherPlasma Metabolitesen_US
dc.subject.otherMediterranean Dieten_US
dc.subject.otherCardiovascular-Diseaseen_US
dc.subject.otherPlasma Acylcarnitinesen_US
dc.subject.otherRisken_US
dc.subject.otherCanceren_US
dc.subject.otherRegularizationen_US
dc.subject.otherAssociationen_US
dc.subject.otherDesignen_US
dc.subject.otherAciden_US
dc.titleA multi-metabolite signature robustly predicts long-term mortality in the PREDIMED trial and several US cohortsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.metabol.2025.156195en_US
dc.identifier.scopus105001960454-
dc.identifier.isi001533829400001-
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dc.identifier.eissn1532-8600-
dc.relation.volume170en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
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dc.description.numberofpages15en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Fernández-Duval, G-
dc.contributor.wosstandardWOS:Razquin, C-
dc.contributor.wosstandardWOS:Wang, FL-
dc.contributor.wosstandardWOS:Yun, H-
dc.contributor.wosstandardWOS:Hu, J-
dc.contributor.wosstandardWOS:Guasch-Ferré, M-
dc.contributor.wosstandardWOS:Rexrode, K-
dc.contributor.wosstandardWOS:Balasubramanian, R-
dc.contributor.wosstandardWOS:García-Gavilán, J-
dc.contributor.wosstandardWOS:Ruiz-Canela, M-
dc.contributor.wosstandardWOS:Clish, CB-
dc.contributor.wosstandardWOS:Corella, D-
dc.contributor.wosstandardWOS:Gómez-Gracia, E-
dc.contributor.wosstandardWOS:Fiol, M-
dc.contributor.wosstandardWOS:Estruch, R-
dc.contributor.wosstandardWOS:Lapetra, J-
dc.contributor.wosstandardWOS:Fitó, M-
dc.contributor.wosstandardWOS:Serra-Majem, L-
dc.contributor.wosstandardWOS:Ros, E-
dc.contributor.wosstandardWOS:Liang, LM-
dc.contributor.wosstandardWOS:Dennis, C-
dc.contributor.wosstandardWOS:Asensio, EM-
dc.contributor.wosstandardWOS:Castañer, O-
dc.contributor.wosstandardWOS:Planes, FJ-
dc.contributor.wosstandardWOS:Salas-Salvadó, J-
dc.contributor.wosstandardWOS:Hu, FB-
dc.contributor.wosstandardWOS:Toledo, E-
dc.contributor.wosstandardWOS:Martínez-González, MA-
dc.date.coverdateSeptiembre 2025en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
dc.description.sjr3,529-
dc.description.jcr11,9-
dc.description.sjrqQ1-
dc.description.jcrqQ1-
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUIBS: Nutrición-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.orcid0000-0002-9658-9061-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameSerra Majem, Luis-
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