Gonzalo Fernández-Duval , Cristina Razquin , Fenglei Wang , Huan Yun , Jie Hu , Marta Guasch-Ferré , Kathryn Rexrode , Raji Balasubramanian , Jesús García-Gavilán , Miguel Ruiz-Canela , Clary B. Clish , Dolores Corella , Enrique Gómez-Gracia , Miquel Fiol , Ramón Estruch , José Lapetra , Montse Fitó , Luis Serra-Majem , Emilio Ros , Liming Liang , Miguel A. Martínez-González
{"title":"在PREDIMED试验和几个美国队列中,多代谢物特征强有力地预测了长期死亡率。","authors":"Gonzalo Fernández-Duval , Cristina Razquin , Fenglei Wang , Huan Yun , Jie Hu , Marta Guasch-Ferré , Kathryn Rexrode , Raji Balasubramanian , Jesús García-Gavilán , Miguel Ruiz-Canela , Clary B. Clish , Dolores Corella , Enrique Gómez-Gracia , Miquel Fiol , Ramón Estruch , José Lapetra , Montse Fitó , Luis Serra-Majem , Emilio Ros , Liming Liang , Miguel A. Martínez-González","doi":"10.1016/j.metabol.2025.156195","DOIUrl":null,"url":null,"abstract":"<div><div>Metabolome-based biomarkers contribute to identify mechanisms of disease and to a better understanding of overall mortality. In a long-term follow-up subsample (<em>n</em> = 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.</div></div>","PeriodicalId":18694,"journal":{"name":"Metabolism: clinical and experimental","volume":"170 ","pages":"Article 156195"},"PeriodicalIF":11.9000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-metabolite signature robustly predicts long-term mortality in the PREDIMED trial and several US cohorts\",\"authors\":\"Gonzalo Fernández-Duval , Cristina Razquin , Fenglei Wang , Huan Yun , Jie Hu , Marta Guasch-Ferré , Kathryn Rexrode , Raji Balasubramanian , Jesús García-Gavilán , Miguel Ruiz-Canela , Clary B. Clish , Dolores Corella , Enrique Gómez-Gracia , Miquel Fiol , Ramón Estruch , José Lapetra , Montse Fitó , Luis Serra-Majem , Emilio Ros , Liming Liang , Miguel A. Martínez-González\",\"doi\":\"10.1016/j.metabol.2025.156195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Metabolome-based biomarkers contribute to identify mechanisms of disease and to a better understanding of overall mortality. In a long-term follow-up subsample (<em>n</em> = 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.</div></div>\",\"PeriodicalId\":18694,\"journal\":{\"name\":\"Metabolism: clinical and experimental\",\"volume\":\"170 \",\"pages\":\"Article 156195\"},\"PeriodicalIF\":11.9000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metabolism: clinical and experimental\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0026049525000642\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/17 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolism: clinical and experimental","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0026049525000642","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/17 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
A multi-metabolite signature robustly predicts long-term mortality in the PREDIMED trial and several US cohorts
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.
期刊介绍:
Metabolism upholds research excellence by disseminating high-quality original research, reviews, editorials, and commentaries covering all facets of human metabolism.
Consideration for publication in Metabolism extends to studies in humans, animal, and cellular models, with a particular emphasis on work demonstrating strong translational potential.
The journal addresses a range of topics, including:
- Energy Expenditure and Obesity
- Metabolic Syndrome, Prediabetes, and Diabetes
- Nutrition, Exercise, and the Environment
- Genetics and Genomics, Proteomics, and Metabolomics
- Carbohydrate, Lipid, and Protein Metabolism
- Endocrinology and Hypertension
- Mineral and Bone Metabolism
- Cardiovascular Diseases and Malignancies
- Inflammation in metabolism and immunometabolism