Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy

Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy

Abstract The left ventricular (LV) ejection fraction (EF) is key to prognosis in dilated cardiomyopathy (DCM). Circulating microRNAs have emerged as reliable biomarkers for heart diseases, included DCM. Clinicians need improved tools for greater clarification of DCM EF categorization, to identify hi...

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Autores principales: Maria Calderon-Dominguez, Thalía Belmonte, Maribel Quezada-Feijoo, Mónica Ramos, Juan Calderon-Dominguez, Oscar Campuzano, Alipio Mangas, Rocio Toro
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3173b84637b34777ad172d9eb4068d7e
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spelling oai:doaj.org-article:3173b84637b34777ad172d9eb4068d7e2021-12-02T18:15:24ZPlasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy10.1038/s41598-021-87086-12045-2322https://doaj.org/article/3173b84637b34777ad172d9eb4068d7e2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87086-1https://doaj.org/toc/2045-2322Abstract The left ventricular (LV) ejection fraction (EF) is key to prognosis in dilated cardiomyopathy (DCM). Circulating microRNAs have emerged as reliable biomarkers for heart diseases, included DCM. Clinicians need improved tools for greater clarification of DCM EF categorization, to identify high-risk patients. Thus, we investigated whether microRNA profiles can categorize DCM patients based on their EF. 179-differentially expressed circulating microRNAs were screened in two groups: (1) non-idiopathic DCM; (2) idiopathic DCM. Then, 26 microRNAs were identified and validated in the plasma of ischemic-DCM (n = 60), idiopathic-DCM (n = 55) and healthy individuals (n = 44). We identified fourteen microRNAs associated with echocardiographic variables that differentiated idiopathic DCM according to the EF degree. A predictive model of a three-microRNA (miR-130b-3p, miR-150-5p and miR-210-3p) combined with clinical variables (left bundle branch block, left ventricle end-systolic dimension, lower systolic blood pressure and smoking habit) was obtained for idiopathic DCM with a severely reduced-EF. The receiver operating characteristic curve analysis supported the discriminative potential of the diagnosis. Bioinformatics analysis revealed that miR-150-5p and miR-210-3p target genes might interact with each other with a high connectivity degree. In conclusion, our results revealed a three-microRNA signature combined with clinical variables that highly discriminate idiopathic DCM categorization. This is a potential novel prognostic biomarker with high clinical value.Maria Calderon-DominguezThalía BelmonteMaribel Quezada-FeijooMónica RamosJuan Calderon-DominguezOscar CampuzanoAlipio MangasRocio ToroNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Maria Calderon-Dominguez
Thalía Belmonte
Maribel Quezada-Feijoo
Mónica Ramos
Juan Calderon-Dominguez
Oscar Campuzano
Alipio Mangas
Rocio Toro
Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy
description Abstract The left ventricular (LV) ejection fraction (EF) is key to prognosis in dilated cardiomyopathy (DCM). Circulating microRNAs have emerged as reliable biomarkers for heart diseases, included DCM. Clinicians need improved tools for greater clarification of DCM EF categorization, to identify high-risk patients. Thus, we investigated whether microRNA profiles can categorize DCM patients based on their EF. 179-differentially expressed circulating microRNAs were screened in two groups: (1) non-idiopathic DCM; (2) idiopathic DCM. Then, 26 microRNAs were identified and validated in the plasma of ischemic-DCM (n = 60), idiopathic-DCM (n = 55) and healthy individuals (n = 44). We identified fourteen microRNAs associated with echocardiographic variables that differentiated idiopathic DCM according to the EF degree. A predictive model of a three-microRNA (miR-130b-3p, miR-150-5p and miR-210-3p) combined with clinical variables (left bundle branch block, left ventricle end-systolic dimension, lower systolic blood pressure and smoking habit) was obtained for idiopathic DCM with a severely reduced-EF. The receiver operating characteristic curve analysis supported the discriminative potential of the diagnosis. Bioinformatics analysis revealed that miR-150-5p and miR-210-3p target genes might interact with each other with a high connectivity degree. In conclusion, our results revealed a three-microRNA signature combined with clinical variables that highly discriminate idiopathic DCM categorization. This is a potential novel prognostic biomarker with high clinical value.
format article
author Maria Calderon-Dominguez
Thalía Belmonte
Maribel Quezada-Feijoo
Mónica Ramos
Juan Calderon-Dominguez
Oscar Campuzano
Alipio Mangas
Rocio Toro
author_facet Maria Calderon-Dominguez
Thalía Belmonte
Maribel Quezada-Feijoo
Mónica Ramos
Juan Calderon-Dominguez
Oscar Campuzano
Alipio Mangas
Rocio Toro
author_sort Maria Calderon-Dominguez
title Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy
title_short Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy
title_full Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy
title_fullStr Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy
title_full_unstemmed Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy
title_sort plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3173b84637b34777ad172d9eb4068d7e
work_keys_str_mv AT mariacalderondominguez plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
AT thaliabelmonte plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
AT maribelquezadafeijoo plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
AT monicaramos plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
AT juancalderondominguez plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
AT oscarcampuzano plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
AT alipiomangas plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
AT rociotoro plasmamicrornaexpressionprofileforreducedejectionfractionindilatedcardiomyopathy
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