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Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease
Coronary artery disease (CAD) is the most prevalent cause of mortality and morbidity worldwide and the number of individuals at risk is increasing. To better manage cardiovascular diseases, improved tools for risk prediction including the identification of novel accurate biomarkers are needed. Micro...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311865/ https://www.ncbi.nlm.nih.gov/pubmed/28205634 http://dx.doi.org/10.1038/srep42916 |
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author | Faccini, Julien Ruidavets, Jean-Bernard Cordelier, Pierre Martins, Frédéric Maoret, Jean-José Bongard, Vanina Ferrières, Jean Roncalli, Jérôme Elbaz, Meyer Vindis, Cécile |
author_facet | Faccini, Julien Ruidavets, Jean-Bernard Cordelier, Pierre Martins, Frédéric Maoret, Jean-José Bongard, Vanina Ferrières, Jean Roncalli, Jérôme Elbaz, Meyer Vindis, Cécile |
author_sort | Faccini, Julien |
collection | PubMed |
description | Coronary artery disease (CAD) is the most prevalent cause of mortality and morbidity worldwide and the number of individuals at risk is increasing. To better manage cardiovascular diseases, improved tools for risk prediction including the identification of novel accurate biomarkers are needed. MicroRNA (miRNA) are essential post-transcriptional modulators of gene expression leading to mRNA suppression or translational repression. Specific expression profiles of circulating miRNA have emerged as potential noninvasive diagnostic biomarkers of diseases. The aim of this study was to identify the potential diagnostic value of circulating miRNA with CAD. Circulating miR-145, miR-155, miR-92a and let-7c were selected and validated by quantitative PCR in 69 patients with CAD and 30 control subjects from the cross-sectional study GENES. The expression of miR-145, miR-155 and let-7c showed significantly reduced expression in patients with CAD compared to controls. Multivariate logistic regression analysis revealed that low levels of circulating let-7c, miR-145 and miR-155 were associated with CAD. Receiver operating curves analysis showed that let-7c, miR-145 or miR-155 were powerful markers for detecting CAD. Furthermore, we demonstrated that the combination of the three circulating miRNA managed to deliver a specific signature for diagnosing CAD. |
format | Online Article Text |
id | pubmed-5311865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53118652017-02-23 Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease Faccini, Julien Ruidavets, Jean-Bernard Cordelier, Pierre Martins, Frédéric Maoret, Jean-José Bongard, Vanina Ferrières, Jean Roncalli, Jérôme Elbaz, Meyer Vindis, Cécile Sci Rep Article Coronary artery disease (CAD) is the most prevalent cause of mortality and morbidity worldwide and the number of individuals at risk is increasing. To better manage cardiovascular diseases, improved tools for risk prediction including the identification of novel accurate biomarkers are needed. MicroRNA (miRNA) are essential post-transcriptional modulators of gene expression leading to mRNA suppression or translational repression. Specific expression profiles of circulating miRNA have emerged as potential noninvasive diagnostic biomarkers of diseases. The aim of this study was to identify the potential diagnostic value of circulating miRNA with CAD. Circulating miR-145, miR-155, miR-92a and let-7c were selected and validated by quantitative PCR in 69 patients with CAD and 30 control subjects from the cross-sectional study GENES. The expression of miR-145, miR-155 and let-7c showed significantly reduced expression in patients with CAD compared to controls. Multivariate logistic regression analysis revealed that low levels of circulating let-7c, miR-145 and miR-155 were associated with CAD. Receiver operating curves analysis showed that let-7c, miR-145 or miR-155 were powerful markers for detecting CAD. Furthermore, we demonstrated that the combination of the three circulating miRNA managed to deliver a specific signature for diagnosing CAD. Nature Publishing Group 2017-02-16 /pmc/articles/PMC5311865/ /pubmed/28205634 http://dx.doi.org/10.1038/srep42916 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Faccini, Julien Ruidavets, Jean-Bernard Cordelier, Pierre Martins, Frédéric Maoret, Jean-José Bongard, Vanina Ferrières, Jean Roncalli, Jérôme Elbaz, Meyer Vindis, Cécile Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease |
title | Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease |
title_full | Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease |
title_fullStr | Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease |
title_full_unstemmed | Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease |
title_short | Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease |
title_sort | circulating mir-155, mir-145 and let-7c as diagnostic biomarkers of the coronary artery disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311865/ https://www.ncbi.nlm.nih.gov/pubmed/28205634 http://dx.doi.org/10.1038/srep42916 |
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