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DOI 10.1093/cvr/cvad147

Медицинская библиотека · Cardiovascular research · 2023

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.

Nogal Ana, Alkis Taryn, Lee Yura, Kifer Domagoj, Hu Jie, Murphy Rachel A, Huang Zhe, Wang-Sattler Rui, Kastenmüler Gabi, Linkohr Birgit, Barrios Clara, Crespo Marta, Gieger Christian, Peters Annette, Price Jackie, Rexrode Kathryn M, Yu Bing, Menni Cristina

МетаанализСтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Nogal Ana, Alkis Taryn, Lee Yura, Kifer Domagoj, Hu Jie, Murphy Rachel A, Huang Zhe, Wang-Sattler Rui, Kastenmüler Gabi, Linkohr Birgit, Barrios Clara, Crespo Marta, Gieger Christian, Peters Annette, Price Jackie, Rexrode Kathryn M, Yu Bing, Menni Cristina. 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.. Cardiovascular research. 2023. DOI: 10.1093/cvr/cvad147.

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