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Large-scale Metabolomic Profiling Identifies Novel Biomarkers for Incident Coronary Heart Disease
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0003-2247-8454
Proteomics and Metabolomics Facility, Colorado State University, Fort Collins, Colorado, United States of America.
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2014 (English)In: PLOS Genetics, ISSN 1553-7390, E-ISSN 1553-7404, Vol. 10, no 12, e1004801- p.Article in journal (Refereed) Published
Abstract [en]

Analyses of circulating metabolites in large prospective epidemiological studies could lead to improved prediction and better biological understanding of coronary heart disease (CHD). We performed a mass spectrometry-based non-targeted metabolomics study for association with incident CHD events in 1,028 individuals (131 events; 10 y. median follow-up) with validation in 1,670 individuals (282 events; 3.9 y. median follow-up). Four metabolites were replicated and independent of main cardiovascular risk factors [lysophosphatidylcholine 18∶1 (hazard ratio [HR] per standard deviation [SD] increment = 0.77, P-value<0.001), lysophosphatidylcholine 18∶2 (HR = 0.81, P-value<0.001), monoglyceride 18∶2 (MG 18∶2; HR = 1.18, P-value = 0.011) and sphingomyelin 28∶1 (HR = 0.85, P-value = 0.015)]. Together they contributed to moderate improvements in discrimination and re-classification in addition to traditional risk factors (C-statistic: 0.76 vs. 0.75; NRI: 9.2%). MG 18∶2 was associated with CHD independently of triglycerides. Lysophosphatidylcholines were negatively associated with body mass index, C-reactive protein and with less evidence of subclinical cardiovascular disease in additional 970 participants; a reverse pattern was observed for MG 18∶2. MG 18∶2 showed an enrichment (P-value = 0.002) of significant associations with CHD-associated SNPs (P-value = 1.2×10-7 for association with rs964184 in the ZNF259/APOA5 region) and a weak, but positive causal effect (odds ratio = 1.05 per SD increment in MG 18∶2, P-value = 0.05) on CHD, as suggested by Mendelian randomization analysis. In conclusion, we identified four lipid-related metabolites with evidence for clinical utility, as well as a causal role in CHD development.

Place, publisher, year, edition, pages
2014. Vol. 10, no 12, e1004801- p.
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Public Health, Global Health, Social Medicine and Epidemiology
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URN: urn:nbn:se:uu:diva-239007DOI: 10.1371/journal.pgen.1004801ISI: 000346649900014PubMedID: 25502724OAI: oai:DiVA.org:uu-239007DiVA: diva2:772984
Funder
EU, European Research Council, 335395Swedish Heart Lung Foundation, 20120197Swedish Research Council, 20121397Swedish National Infrastructure for Computing (SNIC), b2011036
Available from: 2014-12-17 Created: 2014-12-17 Last updated: 2017-12-05Bibliographically approved

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Salihovic, SamiraSundström, JohanHedman, Åsa KLarsson, AndersSiegbahn, AgnetaÄrnlöv, JohanLind, LarsFall, ToveIngelsson, Erik

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