Predictive metabolites for incident myocardial infarction: a two-step meta-analysis of individual patient data from six cohorts comprising 7897 individuals from the COnsortium of METabolomics Studies

Author:

Nogal Ana1,Alkis Taryn2,Lee Yura2,Kifer Domagoj3,Hu Jie4,Murphy Rachel A56ORCID,Huang Zhe7ORCID,Wang-Sattler Rui8ORCID,Kastenmüler Gabi9,Linkohr Birgit10,Barrios Clara11,Crespo Marta11,Gieger Christian8,Peters Annette10ORCID,Price Jackie7,Rexrode Kathryn M4,Yu Bing2,Menni Cristina1ORCID

Affiliation:

1. Department of Twin Research, King’s College London, St Thomas’ Hospital Campus , Westminster Bridge Road, SE1 7EH London , UK

2. Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston School of Public Health , 1200 Pressler St, Suite E407, Houston, 77030 TX , USA

3. Faculty of Pharmacy and Biochemistry, University of Zagreb , Zagreb , Croatia

4. Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital , Boston, MA, USA

5. Faculty of Medicine, University of British Columbia , Vancouver, BC, Canada

6. Cancer Control Research, BC Cancer , Vancouver, BC, Canada

7. Usher Institute of Population Health Sciences and Informatics, University of Edinburgh , Edinburgh , UK

8. Research Unit of Molecular Epidemiology, Helmholtz Zentrum München , Neuherberg , Germany

9. Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München , Neuherberg , Germany

10. Institute of Epidemiology, Helmholtz Zentrum München , Neuherberg , Germany

11. Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d´Investigacions Mediques , Barcelona , Spain

Abstract

Abstract Aims Myocardial infarction (MI) is a major cause of death and disability worldwide. Most metabolomics studies investigating metabolites predicting MI are limited by the participant number and/or the demographic diversity. We sought to identify biomarkers of incident MI in the COnsortium of METabolomics Studies. Methods and results We included 7897 individuals aged on average 66 years from six intercontinental cohorts with blood metabolomic profiling (n = 1428 metabolites, of which 168 were present in at least three cohorts with over 80% prevalence) and MI information (1373 cases). We performed a two-stage individual patient data meta-analysis. We first assessed the associations between circulating metabolites and incident MI for each cohort adjusting for traditional risk factors and then performed a fixed effect inverse variance meta-analysis to pull the results together. Finally, we conducted a pathway enrichment analysis to identify potential pathways linked to MI. On meta-analysis, 56 metabolites including 21 lipids and 17 amino acids were associated with incident MI after adjusting for multiple testing (false discovery rate < 0.05), and 10 were novel. The largest increased risk was observed for the carbohydrate mannitol/sorbitol {hazard ratio [HR] [95% confidence interval (CI)] = 1.40 [1.26–1.56], P < 0.001}, whereas the largest decrease in risk was found for glutamine [HR (95% CI) = 0.74 (0.67–0.82), P < 0.001]. Moreover, the identified metabolites were significantly enriched (corrected P < 0.05) in pathways previously linked with cardiovascular diseases, including aminoacyl-tRNA biosynthesis. Conclusions In the most comprehensive metabolomic study of incident MI to date, 10 novel metabolites were associated with MI. Metabolite profiles might help to identify high-risk individuals before disease onset. Further research is needed to fully understand the mechanisms of action and elaborate pathway findings.

Funder

Wellcome Trust

European Commission H2020

National Institute for Health Research

Clinical Research Facility and the Biomedical Research Centre

Guy's and St Thomas’ NHS Foundation Trust

King's College London

Chronic Disease Research Foundation

UKRI Medical Research Council

British Heart Foundation Ancestry and Biological Informative Markers for Stratification of Hypertension

Zoe Limited

The Atherosclerosis Risk in Communities

National Heart, Lung, and Blood Institute

National Institutes of Health

Department of Health and Human Services

National Human Genome Research Institute

Medical Research Council

Chief Scientist Office of Scotland

Strategic Plan for Research and Innovation in Health

CatSalut

Intramural Research Program of the National Institutes of Health

National Institute on Aging

National Center for Advancing Translational Sciences of the National Institutes of Health

Michael Smith Foundation for Health Research

U.S. Department of Health and Human Services

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Physiology

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