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Metabolite Profiling and Cardiovascular Event Risk: A Prospective Study of 3 Population-Based Cohorts

Wurtz, P; Havulinna, AS; Soininen, P; Tynkkynen, T; Prieto-Merino, D; Tillin, T; Ghorbani, A; ... Salomaa, V; + view all (2015) Metabolite Profiling and Cardiovascular Event Risk: A Prospective Study of 3 Population-Based Cohorts. Circulation , 131 (9) pp. 774-785. 10.1161/CIRCULATIONAHA.114.013116. Green open access

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Abstract

Background—High-throughput profiling of circulating metabolites may improve cardiovascular risk prediction over established risk factors. / Methods and Results—We applied quantitative nuclear magnetic resonance metabolomics to identify the biomarkers for incident cardiovascular disease during long-term follow-up. Biomarker discovery was conducted in the National Finnish FINRISK study (n=7256; 800 events). Replication and incremental risk prediction was assessed in the Southall and Brent Revisited (SABRE) study (n=2622; 573 events) and British Women’s Health and Heart Study (n=3563; 368 events). In targeted analyses of 68 lipids and metabolites, 33 measures were associated with incident cardiovascular events at P<0.0007 after adjusting for age, sex, blood pressure, smoking, diabetes mellitus, and medication. When further adjusting for routine lipids, 4 metabolites were associated with future cardiovascular events in meta-analyses: higher serum phenylalanine (hazard ratio per standard deviation, 1.18; 95% confidence interval, 1.12–1.24; P=4×10–10) and monounsaturated fatty acid levels (1.17; 1.11–1.24; P=1×10–8) were associated with increased cardiovascular risk, while higher omega-6 fatty acids (0.89; 0.84–0.94; P=6×10–5) and docosahexaenoic acid levels (0.90; 0.86–0.95; P=5×10–5) were associated with lower risk. A risk score incorporating these 4 biomarkers was derived in FINRISK. Risk prediction estimates were more accurate in the 2 validation cohorts (relative integrated discrimination improvement, 8.8% and 4.3%), albeit discrimination was not enhanced. Risk classification was particularly improved for persons in the 5% to 10% risk range (net reclassification, 27.1% and 15.5%). Biomarker associations were further corroborated with mass spectrometry in FINRISK (n=671) and the Framingham Offspring Study (n=2289). / Conclusions—Metabolite profiling in large prospective cohorts identified phenylalanine, monounsaturated fatty acids, and polyunsaturated fatty acids as biomarkers for cardiovascular risk. This study substantiates the value of high-throughput metabolomics for biomarker discovery and improved risk assessment.

Type: Article
Title: Metabolite Profiling and Cardiovascular Event Risk: A Prospective Study of 3 Population-Based Cohorts
Open access status: An open access version is available from UCL Discovery
DOI: 10.1161/CIRCULATIONAHA.114.013116
Publisher version: https://doi.org/10.1161/CIRCULATIONAHA.114.013116
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Health Informatics
URI: http://discovery.ucl.ac.uk/id/eprint/10067556
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