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- Document type:
- Journal Article; Article
- Author(s):
- Ward-Caviness, Cavin K; Xu, Tao; Aspelund, Thor; Thorand, Barbara; Montrone, Corinna; Meisinger, Christa; Dunger-Kaltenbach, Irmtraud; Zierer, Astrid; Yu, Zhonghao; Helgadottir, Inga R; Harris, Tamara B; Launer, Lenore J; Ganna, Andrea; Lind, Lars; Eiriksdottir, Gudny; Waldenberger, Melanie; Prehn, Cornelia; Suhre, Karsten; Illig, Thomas; Adamski, Jerzy; Ruepp, Andreas; Koenig, Wolfgang; Gudnason, Vilmundur; Emilsson, Valur; Wang-Sattler, Rui; Peters, Annette
- Title:
- Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers.
- Abstract:
- 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.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 metabolites, 16 were nominally associated (p<0.05) with incident MI in KORA S4. Three metabolites, arginine and two lysophosphatidylcholines (LPC 17:0 and LPC 18:2), were selected as biomarkers via a backward stepwise selection procedure in the KORA S4 and were significant (p<0.0003) in a meta-analysis comprising all three studies including KORA S2 and AGES-REFINE. Furthermore, these three metabolites increased the predictive value of the Framingham risk score, increasing the area under the receiver operating characteristic score in KORA S4 (from 0.70 to 0.78, p=0.001) and AGES-REFINE study (from 0.70 to 0.76, p=0.02), but was not observed in KORA S2. The metabolite biomarkers attenuated the association between hsCRP and MI, indicating a potential link to systemic inflammatory processes.We identified three metabolite biomarkers, which in combination increase the predictive value of the Framingham risk score. The attenuation of the hsCRP-MI association by these three metabolites indicates a potential link to systemic inflammation.
- Journal title abbreviation:
- Heart
- Year:
- 2017
- Journal volume:
- 103
- Journal issue:
- 16
- Pages contribution:
- 1278-1285
- Language:
- eng
- Fulltext / DOI:
- doi:10.1136/heartjnl-2016-310789
- Pubmed ID:
- http://view.ncbi.nlm.nih.gov/pubmed/28255100
- Print-ISSN:
- 1355-6037
- TUM Institution:
- Klinik für Herz- und Kreislauferkrankungen im Erwachsenenalter (Prof. Schunkert)
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