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Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure
BACKGROUND: Detection 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 pathoph...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5586413/ https://www.ncbi.nlm.nih.gov/pubmed/28784649 http://dx.doi.org/10.1161/JAHA.116.005432 |
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author | Zhang, Zhen‐Yu Ravassa, Susana Nkuipou‐Kenfack, Esther Yang, Wen‐Yi Kerr, Shona M. Koeck, Thomas Campbell, Archie Kuznetsova, Tatiana Mischak, Harald Padmanabhan, Sandosh Dominiczak, Anna F. Delles, Christian Staessen, Jan A. |
author_facet | Zhang, Zhen‐Yu Ravassa, Susana Nkuipou‐Kenfack, Esther Yang, Wen‐Yi Kerr, Shona M. Koeck, Thomas Campbell, Archie Kuznetsova, Tatiana Mischak, Harald Padmanabhan, Sandosh Dominiczak, Anna F. Delles, Christian Staessen, Jan A. |
author_sort | Zhang, Zhen‐Yu |
collection | PubMed |
description | BACKGROUND: Detection 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 RESULTS: A 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); P=0.0047 for HFP and 0.57 (0.42–0.72; P=0.62) for N‐terminal pro b‐type natriuretic peptide. Hazard ratios were 1.63 (CI, 1.04–2.55; P=0.032) per 1‐SD increment in HFP and 0.70 (CI, 0.35–1.41; P=0.32) for a doubling of the logarithmically transformed N‐terminal pro b‐type natriuretic peptide. CONCLUSIONS: HFP 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. |
format | Online Article Text |
id | pubmed-5586413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55864132017-09-11 Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure Zhang, Zhen‐Yu Ravassa, Susana Nkuipou‐Kenfack, Esther Yang, Wen‐Yi Kerr, Shona M. Koeck, Thomas Campbell, Archie Kuznetsova, Tatiana Mischak, Harald Padmanabhan, Sandosh Dominiczak, Anna F. Delles, Christian Staessen, Jan A. J Am Heart Assoc Original Research BACKGROUND: Detection 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 RESULTS: A 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); P=0.0047 for HFP and 0.57 (0.42–0.72; P=0.62) for N‐terminal pro b‐type natriuretic peptide. Hazard ratios were 1.63 (CI, 1.04–2.55; P=0.032) per 1‐SD increment in HFP and 0.70 (CI, 0.35–1.41; P=0.32) for a doubling of the logarithmically transformed N‐terminal pro b‐type natriuretic peptide. CONCLUSIONS: HFP 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. John Wiley and Sons Inc. 2017-08-07 /pmc/articles/PMC5586413/ /pubmed/28784649 http://dx.doi.org/10.1161/JAHA.116.005432 Text en © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Zhang, Zhen‐Yu Ravassa, Susana Nkuipou‐Kenfack, Esther Yang, Wen‐Yi Kerr, Shona M. Koeck, Thomas Campbell, Archie Kuznetsova, Tatiana Mischak, Harald Padmanabhan, Sandosh Dominiczak, Anna F. Delles, Christian Staessen, Jan A. Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure |
title | Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure |
title_full | Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure |
title_fullStr | Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure |
title_full_unstemmed | Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure |
title_short | Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure |
title_sort | novel urinary peptidomic classifier predicts incident heart failure |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5586413/ https://www.ncbi.nlm.nih.gov/pubmed/28784649 http://dx.doi.org/10.1161/JAHA.116.005432 |
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