» Articles » PMID: 31863331

Hsa-miR-584-5p As a Novel Candidate Biomarker in Turkish Men with Severe Coronary Artery Disease

Overview
Journal Mol Biol Rep
Specialty Molecular Biology
Date 2019 Dec 22
PMID 31863331
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Coronary artery disease (CAD) is still the preliminary cause of mortality and morbidity in the developed world. Identification of novel predictive and therapeutic biomarkers is crucial for accurate diagnosis, prognosis and treatment of the CAD. The aim of this study was to detect novel candidate miRNA biomarker that may be used in the management of CAD. We performed miRNA profiling in whole blood samples of angiographically confirmed Turkish men with CAD and non-CAD controls with insignificant coronary stenosis. Validation of microarray results was performed by qRT-PCR in a larger cohort of 62 samples. We subsequently assessed the diagnostic value of the miRNA and correlations of miRNA with clinical parameters. miRNA-target identification and network analyses were conducted by Ingenuity Pathway Analysis (IPA) software. Hsa-miR-584-5p was one of the top significantly dysregulated miRNA observed in miRNA microarray. Men-specific down-regulation (p = 0.040) of hsa-miR-584-5p was confirmed by qRT-PCR. ROC curve analysis highlighted the potential diagnostic value of hsa-miR-584-5p with a power area under the curve (AUC) of 0.714 and 0.643 in men and in total sample, respectively. The expression levels of hsa-miR-584-5p showed inverse correlation with stenosis and Gensini scores. IPA revealed CDH13 as the only CAD related predicted target for the miRNA with biological evidence of its involvement in CAD. This study suggests that hsa-miR-584-5p, known to be tumor suppressor miRNA, as a candidate biomarker for CAD and highlighted its putative role in the CAD pathogenesis. The validation of results in larger samples incorporating functional studies warrant further research.

Citing Articles

Plasma Exosomal S1PR5 and CARNS1 as Potential Non-invasive Screening Biomarkers of Coronary Heart Disease.

Xiong F, Mao R, Zhao R, Zhang L, Tan K, Liu C Front Cardiovasc Med. 2022; 9:845673.

PMID: 35837598 PMC: 9273894. DOI: 10.3389/fcvm.2022.845673.


Integrated bioinformatics analysis of validated and circulating miRNAs in ovarian cancer.

Dogan B, Gumusoglu E, Ulgen E, Sezerman O, Gunel T Genomics Inform. 2022; 20(2):e20.

PMID: 35794700 PMC: 9299562. DOI: 10.5808/gi.21067.


Recent Highlights of Research on miRNAs as Early Potential Biomarkers for Cardiovascular Complications of Type 2 Diabetes Mellitus.

Bielska A, Niemira M, Kretowski A Int J Mol Sci. 2021; 22(6).

PMID: 33808800 PMC: 8003798. DOI: 10.3390/ijms22063153.


Diagnostic Value of miR-103 in Patients with Sepsis and Noninfectious SIRS and Its Regulatory Role in LPS-Induced Inflammatory Response by Targeting TLR4.

Yang M, Zhao L, Sun M Int J Genomics. 2020; 2020:2198308.

PMID: 32455124 PMC: 7243004. DOI: 10.1155/2020/2198308.

References
1.
Nishiguchi T, Imanishi T, Akasaka T . MicroRNAs and cardiovascular diseases. Biomed Res Int. 2015; 2015:682857. PMC: 4331324. DOI: 10.1155/2015/682857. View

2.
Reddy L, Shah S, Ponde C, Rajani R, Ashavaid T . Circulating miRNA-33: a potential biomarker in patients with coronary artery disease. Biomarkers. 2018; 24(1):36-42. DOI: 10.1080/1354750X.2018.1501760. View

3.
Ono K, Kuwabara Y, Han J . MicroRNAs and cardiovascular diseases. FEBS J. 2011; 278(10):1619-33. PMC: 3087823. DOI: 10.1111/j.1742-4658.2011.08090.x. View

4.
Lee J, Shin D, Park S, Kang S, Jang Y, Lee S . Association between CDH13 variants and cardiometabolic and vascular phenotypes in a Korean population. Yonsei Med J. 2013; 54(6):1305-12. PMC: 3809859. DOI: 10.3349/ymj.2013.54.6.1305. View

5.
Faccini J, Ruidavets J, Cordelier P, Martins F, Maoret J, Bongard V . Circulating miR-155, miR-145 and let-7c as diagnostic biomarkers of the coronary artery disease. Sci Rep. 2017; 7:42916. PMC: 5311865. DOI: 10.1038/srep42916. View