ArticleJournal of the American Heart Association2017
Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure.
Article in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 40 citations in OpenAlex.
- Untargeted Urinary Proteomics Uncovers Nephroprotective and Systemic Adaptations after Obesity Surgery-Induced Weight Loss.Journal of proteome research · 2026Article
- Development and Validation of a Capillary Electrophoresis Coupled to Mass Spectrometry Pipeline for Comparable Assessment of the Plasma Peptidome.Proteomics · 2025Article
- The extent of postpartum cardiac reverse remodeling is reflected in urine proteome.Scientific reports · 2024Article
- Osteoporosis in Relation to a Bone-Related Aging Biomarker Derived from the Urinary Proteomic Profile: A Population Study.Aging and disease · 2024Article
- Recent progress in mass spectrometry-based urinary proteomics.Clinical proteomics · 2024Review
- OSTEO18, a novel urinary proteomic signature, associated with osteoporosis in heart transplant recipients.Heliyon · 2024Article
- Urinary Peptidomics and Pulse Wave Velocity: The African-PREDICT Study.Journal of proteome research · 2023Article
- Development and Challenges of Pre-Heart Failure with Preserved Ejection Fraction.Reviews in cardiovascular medicine · 2023Review
- A universal predictive and mechanistic urinary peptide signature in acute kidney injury.Critical care (London, England) · 2022Article
- Urine peptidome analysis in cardiorenal syndrome reflects molecular processes.Scientific reports · 2021Article
- Mining the Biomarker Potential of the Urine Peptidome: From Amino Acids Properties to Proteases.International journal of molecular sciences · 2021Review
- Current applications of artificial intelligence combined with urine detection in disease diagnosis and treatment.Translational andrology and urology · 2021Review
- Bile and urine peptide marker profiles: access keys to molecular pathways and biological processes in cholangiocarcinoma.Journal of biomedical science · 2020Article
- Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients.Journal of clinical medicine · 2019Article
- Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)-Rationale and database description.PloS one · 2017Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 5 countries.
Funding
Abstract
backgroundDetection of preclinical cardiac dysfunction and prognosis of left ventricular heart failure (HF) would allow targeted intervention, and appears to be the most promising approach in its management. Novel biomarker panels may support this approach and provide new insights into the pathophysiology. METHODS AND
resultsA retrospective comparison of urinary proteomic profiles generated by mass spectrometric analysis from 49 HF patients, 36 patients who progressed to HF within 2.6±1.6 years, and 192 sex- and age-matched controls who did not progress to HF enabled identification of 96 potentially HF-specific peptide biomarkers. Based on these 96 peptides, the classifier called Heart Failure Predictor (HFP) was established by support vector machine modeling. The incremental prognostic value of HFP was subsequently evaluated in urine samples from 175 individuals with asymptomatic diastolic dysfunction from an independent population cohort. Within 4.8 years, 17 of these individuals progressed to overt HF. The area under receiver-operating characteristic curve was 0.70 (95% CI, 0.56-0.82);
conclusionsHFP is a novel biomarker derived from the urinary proteome and might serve as a sensitive tool to improve risk stratification, patient management, and understanding of the pathophysiology of HF.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.