A multi-metabolite signature robustly predicts long-term mortality in the PREDIMED trial and several US cohorts

IF 11.9 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM Metabolism: clinical and experimental Pub Date : 2025-03-17 DOI:10.1016/j.metabol.2025.156195
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
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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.

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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。
基于代谢组的生物标志物有助于确定疾病机制并更好地了解总体死亡率。在PREDIMED试验的长期随访亚样本(n = 1878)中,在基线和1 年后反复评估的337个候选基线血浆代谢物中,38个血浆代谢物被确定为全因死亡率的预测因子。γ -氨基丁酸(GABA)、同精氨酸、丝氨酸、肌酸、1-甲基烟酰胺和一系列鞘磷脂、浆磷脂原、磷脂酰乙醇胺和胆固醇酯与全因死亡率呈负相关,而血浆二甲胍戊酸(DMGV)、胆碱、短链和长链酰基肉碱、4-乙酰氨基丁酸、假尿嘧啶、7-甲基鸟嘌呤、n6 -乙酰lysine、苯基乙酰谷氨酰胺和肌酐则与较高的死亡率相关。作为这些选定代谢物的线性组合而产生的多代谢物特征显示,使用PREDIMED收集的血浆样本在1年随访时也与全因死亡率密切相关。这一关联随后在4个独立的美国队列中得到证实,验证了该特征是不同人群中全因死亡率的一致预测因子。
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来源期刊
Metabolism: clinical and experimental
Metabolism: clinical and experimental 医学-内分泌学与代谢
CiteScore
18.90
自引率
3.10%
发文量
310
审稿时长
16 days
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
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