Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers.

ABSTRACT:

Objective

The comprehensive assaying of low-molecular-weight compounds, for example, metabolomics, provides a unique tool to uncover novel biomarkers and understand pathways underlying myocardial infarction (MI). We used a targeted metabolomics approach to identify biomarkers for MI and evaluate their involvement in the pathogenesis of MI.

Methods and results

Using three independent, prospective cohorts (KORA S4, KORA S2 and AGES-REFINE), totalling 2257 participants without a history of MI at baseline, we identified metabolites associated with incident MI (266 cases). We also investigated the association between the metabolites and high-sensitivity C reactive protein (hsCRP) to understand the relation between these metabolites and systemic inflammation. Out of 140 metabolite

SUBMITTER: Ward-Caviness CK 

PROVIDER: S-EPMC5871235 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature