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MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction

Background—The identification and stratification of patients at risk of fatal outcomes after myocardial infarction (MI) is of considerable interest to guide secondary prevention therapies. Currently, no accurate biomarkers are available to identify subjects who are at risk of suffering acute manifes...

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Autores principales: Elbaz, Meyer, Faccini, Julien, Laperche, Clémence, Grazide, Marie-Hélène, Ruidavets, Jean-Bernard, Vindis, Cécile
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496068/
https://www.ncbi.nlm.nih.gov/pubmed/36139082
http://dx.doi.org/10.3390/biom12091243
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author Elbaz, Meyer
Faccini, Julien
Laperche, Clémence
Grazide, Marie-Hélène
Ruidavets, Jean-Bernard
Vindis, Cécile
author_facet Elbaz, Meyer
Faccini, Julien
Laperche, Clémence
Grazide, Marie-Hélène
Ruidavets, Jean-Bernard
Vindis, Cécile
author_sort Elbaz, Meyer
collection PubMed
description Background—The identification and stratification of patients at risk of fatal outcomes after myocardial infarction (MI) is of considerable interest to guide secondary prevention therapies. Currently, no accurate biomarkers are available to identify subjects who are at risk of suffering acute manifestations of coronary heart disease as well as to predict adverse events after MI. Non-coding circulating microRNAs (miRNAs) have been proposed as novel diagnostic and prognostic biomarkers in cardiovascular diseases. The aims of the study were to investigate the clinical value of a panel of circulating miRNAs as accurate biomarkers associated with MI and mortality risk prediction in patients with documented MI. Methods and Results—seven circulating plasma miRNAs were analyzed in 67 MI patients and 80 control subjects at a high cardiovascular risk but without known coronary diseases. Multivariate logistic regression analyses demonstrated that six miRNAs were independently associated with MI occurrence. Among them, miR-223 and miR-186 reliably predicted long-term mortality in MI patients, in particular miR-223 (HR 1.57 per one-unit increase, p = 0.02), after left ventricular ejection fraction (LVEF) adjustment. Kaplan–Meier survival analyses provided a predictive threshold value of miR-223 expression (p = 0.028) for long-term mortality. Conclusions—Circulating miR-223 and miR-186 are promising predictive biomarkers for long-term mortality after MI.
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spelling pubmed-94960682022-09-23 MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction Elbaz, Meyer Faccini, Julien Laperche, Clémence Grazide, Marie-Hélène Ruidavets, Jean-Bernard Vindis, Cécile Biomolecules Article Background—The identification and stratification of patients at risk of fatal outcomes after myocardial infarction (MI) is of considerable interest to guide secondary prevention therapies. Currently, no accurate biomarkers are available to identify subjects who are at risk of suffering acute manifestations of coronary heart disease as well as to predict adverse events after MI. Non-coding circulating microRNAs (miRNAs) have been proposed as novel diagnostic and prognostic biomarkers in cardiovascular diseases. The aims of the study were to investigate the clinical value of a panel of circulating miRNAs as accurate biomarkers associated with MI and mortality risk prediction in patients with documented MI. Methods and Results—seven circulating plasma miRNAs were analyzed in 67 MI patients and 80 control subjects at a high cardiovascular risk but without known coronary diseases. Multivariate logistic regression analyses demonstrated that six miRNAs were independently associated with MI occurrence. Among them, miR-223 and miR-186 reliably predicted long-term mortality in MI patients, in particular miR-223 (HR 1.57 per one-unit increase, p = 0.02), after left ventricular ejection fraction (LVEF) adjustment. Kaplan–Meier survival analyses provided a predictive threshold value of miR-223 expression (p = 0.028) for long-term mortality. Conclusions—Circulating miR-223 and miR-186 are promising predictive biomarkers for long-term mortality after MI. MDPI 2022-09-06 /pmc/articles/PMC9496068/ /pubmed/36139082 http://dx.doi.org/10.3390/biom12091243 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Elbaz, Meyer
Faccini, Julien
Laperche, Clémence
Grazide, Marie-Hélène
Ruidavets, Jean-Bernard
Vindis, Cécile
MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction
title MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction
title_full MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction
title_fullStr MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction
title_full_unstemmed MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction
title_short MiR-223 and MiR-186 Are Associated with Long-Term Mortality after Myocardial Infarction
title_sort mir-223 and mir-186 are associated with long-term mortality after myocardial infarction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496068/
https://www.ncbi.nlm.nih.gov/pubmed/36139082
http://dx.doi.org/10.3390/biom12091243
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