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MiRNA-34a, miRNA-145, and miRNA-222 Expression, Matrix Metalloproteinases, TNF-a and VEGF in Patients with Different Phenotypes of Coronary Artery Disease

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Submitted:

16 November 2024

Posted:

19 November 2024

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Abstract
Background: The development of different phenotypes of coronary artery (CA) lesions is regu-lated by many various factors such as proinflammatory agents, zinc-dependent endopeptidases, growth factors and circulating microRNAs (miRs). Objective: to evaluate the expression levels of miR-34a, miR-145 and miR-222, tumor necrosis factor α (TNF-α), matrix metalloproteinases (MMP-1, -9, -13, -14) and vascular endothelial growth factor (VEGF) in patients with different phenotypes of coronary artery disease (CAD): ischemia/angina with non- obstructive coronary arteries (INOCA/ANOCA) and obstructive CAD (oCAD) compared with the control group. Method: The cross-sectional observational study included 157 subjects with verified CAD diag-nosis (51 patients with INOCA, 76 patients with oCAD and 30 healthy volunteers). The expression of miR-34a, miR-145, miR-222 (RT-PCR) and the levels of VEGF, TNF-α, MMP-1, MMP-9, MMP-13, MMP-14 (ELISA) were estimated in the plasma samples. Results: Higher concentration of MMP-9 was found in oCAD group samples compared to the INOCA/ANOCA group. The INOCA/ANOCA group was characterized by higher levels of TNF-α. Based on multivariate regression analysis, a mathematical model predicting the type of CA lesion was constructed. MiR-145 was the inde-pendent predictor of INOCA/ANOCA (p=0.006). Conclusions: Changes in concentrations of MMP-9 and MMP-14 were found in both investigated CAD groups, with MMP-9 levels were sig-nificantly higher in obstructive CAD samples than in INOCA/ANOCA, which confirms the role of inflammation in the development of atherosclerosis. The multivariate regression analysis allowed us to obtain a model that can predict the phenotype of stable CAD and MiR-145 can be assumed as independent predictor of the INOCA/ANOCA.
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Subject: Biology and Life Sciences  -   Biochemistry and Molecular Biology
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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