ArticleJACC. Advances2025
Proteomics-Based Soluble Urokinase Plasminogen Activator Receptor Levels Are Associated With Incident Heart Failure Risk.
Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- Soluble urokinase plasminogen activator receptor and outcomes in HFpEF: A TOPCAT ancillary study.ESC heart failure · 2025Trial
- Proteomic Mediators Linking Autoimmune Diseases to Major Adverse Cardiovascular Events: Insights from the UK Biobank.Proteomes · 2026Article
- Proteomics-Based Soluble Urokinase Plasminogen Activator Receptor Levels Are Associated With Adverse Cardiovascular Outcomes in the General Population: Insights From the UK Biobank.Journal of the American Heart Association · 2026Article
- Associations of plasma level of soluble LDL receptor with cardiovascular events and mortality in a large prospective cohort study.Lipids in health and disease · 2026Article
- Soluble Urokinase-type Plasminogen Activator Receptor (suPAR) as a Biomarker of Neurodysfunction.Neuromolecular medicine · 2026Review
- uPAR deficiency triggers TGFβ1-mediated fibrotic remodeling in a cardiac perivascular-like microenvironment.Stem cell research & therapy · 2026Article
- Drug Discovery and Development for Heart Failure Using Multi-Omics Approaches.International journal of molecular sciences · 2025Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Higher soluble urokinase plasminogen activator receptor (suPAR) levels are associated with adverse outcomes in chronic heart failure (HF). Objectives: The authors assessed the association between proteomics-based suPAR levels and incident HF risk in the general population. Methods: In 40,418 UK Biobank participants without HF or coronary artery disease at enrollment, the association between Olink-based suPAR levels measured as relative protein expression levels and incident all-cause, ischemic, and nonischemic HF was analyzed by competing-risk regression, while accounting for all-cause death as a competing risk. The additional variability in incident HF risk attributable to suPAR levels beyond demographics, traditional risk factors, N-terminal pro B-type natriuretic peptide (NT-proBNP), and C-reactive protein (CRP) levels was assessed with nested Cox modeling and likelihood ratio testing. Results: The mean age was 56 years; 45% were male, and 94% were White. During a median follow-up of 13.7 (IQR: 1.5) years, 1,428 (3.5%) incident HF events occurred. Proteomics-based suPAR levels (per 1-SD) were independently associated with incident HF (subdistribution HR (sHR): 1.37, 95% CI: 1.29-1.46), ischemic HF (sHR: 1.40, 95% CI: 1.28-1.54), and nonischemic HF (sHR: 1.32, 95% CI: 1.21-1.44) risk, after adjustment for demographics, traditional cardiovascular risk factors, NT-proBNP, and CRP levels. The addition of suPAR levels to a base risk factor model significantly improved the explained variability of incident HF risk ( Conclusions: Independent of demographics, traditional risk factors, NT-proBNP, and CRP levels, proteomics-based suPAR levels were significantly associated with incident all-cause, ischemic, and nonischemic HF risk. Proteomics-based measurement of suPAR levels may underestimate the effect size of this relationship.
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