Large-scale plasma proteomics in the UK Biobank modestly improves prediction of major cardiovascular events in a population without previous cardiovascular disease.

Autor:	Royer P; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Institute of Medicine, Gothenburg University, PO Box 100,405 30 Gothenburg, Sweden.; Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.; Department of Critical Care, University Hospital of Martinique, Fort-de-France, Martinique, French West Indies, France., Björnson E; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Institute of Medicine, Gothenburg University, PO Box 100,405 30 Gothenburg, Sweden., Adiels M; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Institute of Medicine, Gothenburg University, PO Box 100,405 30 Gothenburg, Sweden.; School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden., Josefson R; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Institute of Medicine, Gothenburg University, PO Box 100,405 30 Gothenburg, Sweden., Hagberg E; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Institute of Medicine, Gothenburg University, PO Box 100,405 30 Gothenburg, Sweden.; Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden., Gummesson A; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Institute of Medicine, Gothenburg University, PO Box 100,405 30 Gothenburg, Sweden.; Department of Clinical Genetics and Genomics, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden., Bergström G; Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Institute of Medicine, Gothenburg University, PO Box 100,405 30 Gothenburg, Sweden.; Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.
Jazyk:	angličtina
Zdroj:	European journal of preventive cardiology [Eur J Prev Cardiol] 2024 Oct 10; Vol. 31 (14), pp. 1681-1689.
DOI:	10.1093/eurjpc/zwae124
Abstrakt:	Aims: Improved identification of individuals at high risk of developing cardiovascular disease would enable targeted interventions and potentially lead to reductions in mortality and morbidity. Our aim was to determine whether use of large-scale proteomics improves prediction of cardiovascular events beyond traditional risk factors (TRFs). Methods and Results: Using proximity extension assays, 2919 plasma proteins were measured in 38 380 participants of the UK Biobank. Both data- and literature-based feature selection and trained models using extreme gradient boosting machine learning were used to predict risk of major cardiovascular events (MACEs: fatal and non-fatal myocardial infarction, stroke, and coronary artery revascularization) during a 10-year follow-up. Area under the curve (AUC) and net reclassification index (NRI) were used to evaluate the additive value of selected protein panels to MACE prediction by Systematic COronary Risk Evaluation 2 (SCORE2) or the 10 TRFs used in SCORE2. SCORE2 and SCORE2 refitted to UK Biobank data predicted MACE with AUCs of 0.740 and 0.749, respectively. Data-driven selection identified 114 proteins of greatest relevance for prediction. Prediction of MACE was not improved by using these proteins alone (AUC of 0.758) but was significantly improved by combining these proteins with SCORE2 or the 10 TRFs (AUC = 0.771, P < 001, NRI = 0.140, and AUC = 0.767, P = 0.03, NRI 0.053, respectively). Literature-based protein selection (113 proteins from five previous studies) also improved risk prediction beyond TRFs while a random selection of 114 proteins did not. Conclusion: Large-scale plasma proteomics with data-driven and literature-based protein selection modestly improves prediction of future MACE beyond TRFs. Competing Interests: Conflict of interest: none declared. (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)
Databáze:	MEDLINE
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