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Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts
BACKGROUND: In patients with left heart failure, micro-RNAs (miRNAs) have been shown to be of diagnostic and prognostic value. The present study aims to identify those miRNAs in patients with univentricular heart (UVH) disease that may be associated with overt heart failure. METHODS: A large panel o...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786722/ https://www.ncbi.nlm.nih.gov/pubmed/31600281 http://dx.doi.org/10.1371/journal.pone.0223606 |
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author | Abu-Halima, Masood Meese, Eckart Saleh, Mohamad Ali Keller, Andreas Abdul-Khaliq, Hashim Raedle-Hurst, Tanja |
author_facet | Abu-Halima, Masood Meese, Eckart Saleh, Mohamad Ali Keller, Andreas Abdul-Khaliq, Hashim Raedle-Hurst, Tanja |
author_sort | Abu-Halima, Masood |
collection | PubMed |
description | BACKGROUND: In patients with left heart failure, micro-RNAs (miRNAs) have been shown to be of diagnostic and prognostic value. The present study aims to identify those miRNAs in patients with univentricular heart (UVH) disease that may be associated with overt heart failure. METHODS: A large panel of human miRNA arrays were used to determine miRNA expression profiles in the blood of 48 UVH patients and 32 healthy controls. For further selection, the most abundantly expressed miRNA arrays were related to clinical measures of heart failure and selected miRNAs validated by polymerase chain reaction were used for the prediction of overt heart failure and all-cause mortality. RESULTS: According to microarray analysis, 50 miRNAs were found to be significantly abundant in UVH patients of which miR-150-5p was best related to heart failure parameters. According to ROC analysis, NT-proBNP levels (AUC 0.940, 95% CI 0.873–1.000; p = 0.001), miR-150-5p (AUC 0.905, 95% CI 0.779–1.000; p = 0.001) and a higher NYHA class ≥ III (AUC 0.893, 95% CI 0.713–1.000; p = 0.002) were the 3 most significant predictors of overt heart failure. Using a combined biomarker model, AUC increased to 0.980 indicating an additive value of miR-150-5p. Moreover, in the multivariate analysis, a higher NYHA class ≥ III (p = 0.005) and miR-150-5p (p = 0.006) turned out to be independent predictors of overt heart failure. CONCLUSION: In patients with UVH, miR-150-5p is an independent predictor of overt heart failure and thus may be used in the risk assessment of these patients. |
format | Online Article Text |
id | pubmed-6786722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67867222019-10-19 Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts Abu-Halima, Masood Meese, Eckart Saleh, Mohamad Ali Keller, Andreas Abdul-Khaliq, Hashim Raedle-Hurst, Tanja PLoS One Research Article BACKGROUND: In patients with left heart failure, micro-RNAs (miRNAs) have been shown to be of diagnostic and prognostic value. The present study aims to identify those miRNAs in patients with univentricular heart (UVH) disease that may be associated with overt heart failure. METHODS: A large panel of human miRNA arrays were used to determine miRNA expression profiles in the blood of 48 UVH patients and 32 healthy controls. For further selection, the most abundantly expressed miRNA arrays were related to clinical measures of heart failure and selected miRNAs validated by polymerase chain reaction were used for the prediction of overt heart failure and all-cause mortality. RESULTS: According to microarray analysis, 50 miRNAs were found to be significantly abundant in UVH patients of which miR-150-5p was best related to heart failure parameters. According to ROC analysis, NT-proBNP levels (AUC 0.940, 95% CI 0.873–1.000; p = 0.001), miR-150-5p (AUC 0.905, 95% CI 0.779–1.000; p = 0.001) and a higher NYHA class ≥ III (AUC 0.893, 95% CI 0.713–1.000; p = 0.002) were the 3 most significant predictors of overt heart failure. Using a combined biomarker model, AUC increased to 0.980 indicating an additive value of miR-150-5p. Moreover, in the multivariate analysis, a higher NYHA class ≥ III (p = 0.005) and miR-150-5p (p = 0.006) turned out to be independent predictors of overt heart failure. CONCLUSION: In patients with UVH, miR-150-5p is an independent predictor of overt heart failure and thus may be used in the risk assessment of these patients. Public Library of Science 2019-10-10 /pmc/articles/PMC6786722/ /pubmed/31600281 http://dx.doi.org/10.1371/journal.pone.0223606 Text en © 2019 Abu-Halima et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Abu-Halima, Masood Meese, Eckart Saleh, Mohamad Ali Keller, Andreas Abdul-Khaliq, Hashim Raedle-Hurst, Tanja Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts |
title | Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts |
title_full | Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts |
title_fullStr | Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts |
title_full_unstemmed | Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts |
title_short | Micro-RNA 150-5p predicts overt heart failure in patients with univentricular hearts |
title_sort | micro-rna 150-5p predicts overt heart failure in patients with univentricular hearts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786722/ https://www.ncbi.nlm.nih.gov/pubmed/31600281 http://dx.doi.org/10.1371/journal.pone.0223606 |
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