A large study of metabolomics reveals common and distinct metabolic biomarkers for type 2 diabetes, coronary heart disease, and stroke.

UK Biobank coronary heart disease metabolomics stroke type 2 diabetes

Journal

American journal of epidemiology
ISSN: 1476-6256
Titre abrégé: Am J Epidemiol
Pays: United States
ID NLM: 7910653

Informations de publication

Date de publication:
29 Jun 2024
Historique:
received: 15 11 2022
revised: 07 05 2024
medline: 30 6 2024
pubmed: 30 6 2024
entrez: 30 6 2024
Statut: aheadofprint

Résumé

We aimed at examining the shared and unique associations of metabolites with multiple cardiometabolic diseases (CMD), i.e. type 2 diabetes (T2D), coronary heart disease (CHD) and stroke. In this study, a total of 168 plasma metabolites were measured by targeted high-throughput nuclear magnetic resonance spectroscopy among 98,162 participants free of T2D, CHD, and stroke at baseline. Cox proportional hazard models estimated hazard ratios for one SD increase in metabolite concentration levels, and false discovery rate (at 10%) was used to correct for multiple comparisons. Over 12.1 years of follow-up on average, 3,463 T2D, 6,186 CHD, and 1,892 stroke events were recorded. Most lipoprotein metabolites were associated with risks of T2D and CHD but not with the risk of stroke, with stronger associations for T2D than for CHD. Phospholipids within intermediate-density lipoprotein or large low-density lipoprotein particles showed positive associations with CHD and inverse associations with T2D. Metabolites indicating very small very low-density lipoprotein, histidine, creatinine, albumin, and glycoprotein acetyls were associated with risks of all three conditions. This large-scale metabolomics study revealed common and distinct metabolic biomarkers for T2D, CHD and stroke, providing instrumental information to possibly implement precision medicine for preventing and treating these conditions.

Identifiants

pubmed: 38944759
pii: 7701702
doi: 10.1093/aje/kwae167
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Yanqiang Lu (Y)

Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.

Guochen Li (G)

Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.

Vivian Viallon (V)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Pietro Ferrari (P)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Heinz Freisling (H)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Yanan Qiao (Y)

Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.

Liping Shao (L)

Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.

Luying Wu (L)

Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.

Yi Ding (Y)

Department of preventive medicine, College of clinical medicine, Suzhou vocational health College, Suzhou, China.

Chaofu Ke (C)

Department of Epidemiology and Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.

Classifications MeSH