The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Metabolite Profiling and Cardiovascular Event Risk: A Prospective Study of 3 Population-Based Cohorts
Open accessAbstract
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.
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Self-citationGut flora metabolism of phosphatidylcholine promotes cardiovascular disease
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Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk
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Metabolite profiles and the risk of developing diabetes
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Self-citationExtensions of net reclassification improvement calculations to measure usefulness of new biomarkers
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2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes
Knuuti, J., Wijns, W., Saraste, A., Capodanno, D., Barbato, E., Funck-Brentano, C., Prescott, E., Storey, R. F., Deaton, C., Cuisset, T., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz425 · Cited by 7,166
2016 European Guidelines on cardiovascular disease prevention in clinical practice
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Self-citationAsnicar, F., Berry, S. E., Valdes, A. M., Nguyen, L. H., Piccinno, G., Drew, D. A., Leeming, E., Gibson, R., Le Roy, C., Khatib, H. A., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-01183-8 · Cited by 995
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Self-citationLipids, lipoproteins, and metabolites and risk of myocardial infarction and stroke
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Metadata
- Authors
- Würtz, P., Havulinna, A. S., Soininen, P., Tynkkynen, T., Prieto-Merino, D., Tillin, T., Ghorbani, A., Artati, A., Wang, Q., Tiainen, M., Kangas, A. J., Kettunen, J., Kaikkonen, J., Mikkilä, V., Jula, A., Kähönen, M., Lehtimäki, T., Lawlor, D. A., Gaunt, T. R., Hughes, A. D., Sattar, N., Illig, T., Adamski, J., Wang, T. J., Perola, M., Ripatti, S., Vasan, R. S., Raitakari, O. T., Gerszten, R. E., Casas, J.-P., Chaturvedi, N., Ala-Korpela, M., & Salomaa, V.
- Venue
- Circulation
- Published
- 2015-03-03
- Volume
- 131
- Issue
- 9
- Pages
- 774-785
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2096248193
- Cited by
- 677
- References
- 51
- FWCI
- 23.67
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Würtz, P., Havulinna, A. S., Soininen, P., Tynkkynen, T., Prieto-Merino, D., Tillin, T., Ghorbani, A., Artati, A., Wang, Q., Tiainen, M., Kangas, A. J., Kettunen, J., Kaikkonen, J., Mikkilä, V., Jula, A., Kähönen, M., Lehtimäki, T., Lawlor, D. A., Gaunt, T. R., . . . Salomaa, V. (2015). Metabolite Profiling and Cardiovascular Event Risk: A Prospective Study of 3 Population-Based Cohorts. Circulation. https://doi.org/10.1161/circulationaha.114.013116
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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