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Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study

BACKGROUND: Circulating microRNAs (miRNAs) are considered a hot spot of research that can be employed for monitoring and/or diagnostic purposes in coronary artery disease (CAD). Since different disease features might be reflected on altered profiles or plasma miRNAs concentrations, a combination of...

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Autores principales: Abdallah, Hoda Y., Hassan, Ranya, Fareed, Ahmed, Abdelgawad, Mai, Mostafa, Sally Abdallah, Mohammed, Eman Abdel-Moemen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233383/
https://www.ncbi.nlm.nih.gov/pubmed/35751015
http://dx.doi.org/10.1186/s12872-022-02711-9
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author Abdallah, Hoda Y.
Hassan, Ranya
Fareed, Ahmed
Abdelgawad, Mai
Mostafa, Sally Abdallah
Mohammed, Eman Abdel-Moemen
author_facet Abdallah, Hoda Y.
Hassan, Ranya
Fareed, Ahmed
Abdelgawad, Mai
Mostafa, Sally Abdallah
Mohammed, Eman Abdel-Moemen
author_sort Abdallah, Hoda Y.
collection PubMed
description BACKGROUND: Circulating microRNAs (miRNAs) are considered a hot spot of research that can be employed for monitoring and/or diagnostic purposes in coronary artery disease (CAD). Since different disease features might be reflected on altered profiles or plasma miRNAs concentrations, a combination of miRNAs can provide more reliable non-invasive biomarkers for CAD. SUBJECTS AND METHODS: We investigated a panel of 14-miRNAs selected using bioinformatics databases and current literature searching for miRNAs involved in CAD using quantitative real-time PCR technique in 73 CAD patients compared to 73 controls followed by function and pathway enrichment analysis for the 14-miRNAs. RESULTS: Our results revealed three out of the 14 circulating miRNAs understudy; miRNAs miR133a, miR155 and miR208a were downregulated. While 11 miRNAs were up-regulated in a descending order from highest fold change to lowest: miR-182, miR-145, miR-21, miR-126, miR-200b, miR-146A, miR-205, miR-135b, miR-196b, miR-140b and, miR-223. The ROC curve analysis indicated that miR-145, miR-182, miR-133a and, miR-205 were excellent biomarkers with the highest AUCs as biomarkers in CAD. All miRNAs under study except miR-208 revealed a statistically significant relation with dyslipidemia. MiR-126 and miR-155 showed significance with BMI grade, while only miR-133a showed significance with the obese patients in general. MiR-135b and miR-140b showed a significant correlation with the Wall Motion Severity Index. Pathway enrichment analysis for the miRNAS understudy revealed pathways relevant to the fatty acid biosynthesis, ECM-receptor interaction, proteoglycans in cancer, and adherens junction. CONCLUSION: The results of this study identified a differentially expressed circulating miRNAs signature that can discriminate CAD patients from normal subjects. These results provide new insights into the significant role of miRNAs expression associated with CAD pathogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02711-9.
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spelling pubmed-92333832022-06-26 Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study Abdallah, Hoda Y. Hassan, Ranya Fareed, Ahmed Abdelgawad, Mai Mostafa, Sally Abdallah Mohammed, Eman Abdel-Moemen BMC Cardiovasc Disord Research BACKGROUND: Circulating microRNAs (miRNAs) are considered a hot spot of research that can be employed for monitoring and/or diagnostic purposes in coronary artery disease (CAD). Since different disease features might be reflected on altered profiles or plasma miRNAs concentrations, a combination of miRNAs can provide more reliable non-invasive biomarkers for CAD. SUBJECTS AND METHODS: We investigated a panel of 14-miRNAs selected using bioinformatics databases and current literature searching for miRNAs involved in CAD using quantitative real-time PCR technique in 73 CAD patients compared to 73 controls followed by function and pathway enrichment analysis for the 14-miRNAs. RESULTS: Our results revealed three out of the 14 circulating miRNAs understudy; miRNAs miR133a, miR155 and miR208a were downregulated. While 11 miRNAs were up-regulated in a descending order from highest fold change to lowest: miR-182, miR-145, miR-21, miR-126, miR-200b, miR-146A, miR-205, miR-135b, miR-196b, miR-140b and, miR-223. The ROC curve analysis indicated that miR-145, miR-182, miR-133a and, miR-205 were excellent biomarkers with the highest AUCs as biomarkers in CAD. All miRNAs under study except miR-208 revealed a statistically significant relation with dyslipidemia. MiR-126 and miR-155 showed significance with BMI grade, while only miR-133a showed significance with the obese patients in general. MiR-135b and miR-140b showed a significant correlation with the Wall Motion Severity Index. Pathway enrichment analysis for the miRNAS understudy revealed pathways relevant to the fatty acid biosynthesis, ECM-receptor interaction, proteoglycans in cancer, and adherens junction. CONCLUSION: The results of this study identified a differentially expressed circulating miRNAs signature that can discriminate CAD patients from normal subjects. These results provide new insights into the significant role of miRNAs expression associated with CAD pathogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02711-9. BioMed Central 2022-06-24 /pmc/articles/PMC9233383/ /pubmed/35751015 http://dx.doi.org/10.1186/s12872-022-02711-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Abdallah, Hoda Y.
Hassan, Ranya
Fareed, Ahmed
Abdelgawad, Mai
Mostafa, Sally Abdallah
Mohammed, Eman Abdel-Moemen
Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study
title Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study
title_full Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study
title_fullStr Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study
title_full_unstemmed Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study
title_short Identification of a circulating microRNAs biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study
title_sort identification of a circulating micrornas biomarker panel for non-invasive diagnosis of coronary artery disease: case–control study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233383/
https://www.ncbi.nlm.nih.gov/pubmed/35751015
http://dx.doi.org/10.1186/s12872-022-02711-9
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