Screening Analysis of Platelet miRNA Profile Revealed miR-142-3p as a Potential Biomarker in Modeling the Risk of Acute Coronary Syndrome

Transcriptome analysis constitutes one of the major methods of elucidation of the genetic basis underlying the pathogenesis of various diseases. The post-transcriptional regulation of gene expression is mainly provided by microRNAs. Their remarkable stability in biological fluids and their high sensitivity to disease alteration indicates their potential role as biomarkers. Given the high mortality and morbidity of cardiovascular diseases, novel predictive biomarkers are sorely needed. Our study focuses for the first time on assessing potential biomarkers of acute coronary syndrome (ACS) based on the microRNA profiles of platelets. The study showed the overexpression of eight platelet microRNAs in ACS (miR-142-3p; miR-107; miR-338-3p, miR-223-3p, miR-21-5p, miR-130b-3p, miR-301a-3p, miR-221-3p) associated with platelet reactivity and functionality. Our results show that the combined model based on miR-142-3p and aspartate transaminase reached 82% sensitivity and 88% specificity in the differentiation of the studied groups. Furthermore, the analyzed miRNAs were shown to cluster into two orthogonal groups, regulated by two different biological factors. Bioinformatic analysis demonstrated that one group of microRNAs may be associated with the physiological processes of platelets, whereas the other group may be linked to platelet-vascular environment interactions. This analysis paves the way towards a better understanding of the role of platelet microRNAs in ACS pathophysiology and better modeling of the risk of ACS.

Automated summary

Transcriptome analysis is an important method to understand the genetic basis of disease pathogenesis, with microRNAs playing a key role in post-transcriptional gene expression regulation. In this study, platelet microRNA profiles were used to identify potential biomarkers for acute coronary syndrome (ACS), with eight overexpressed microRNAs associated with platelet function. A combined model using miR-142-3p and aspartate transaminase showed high sensitivity and specificity in differentiating study groups. Cluster analysis revealed two groups of microRNAs regulated by different biological factors, potentially linked to platelet physiological processes and interactions with the vascular environment. This research contributes to a better understanding of the role of platelet microRNAs in ACS pathophysiology and risk modeling.