Predictive value of miR-636 in patients with acute myocardial infarction undergoing percutaneous coronary intervention and its bioinformatics analysis.

BACKGROUND

MicroRNAs (miRNAs) play an important role in the pathogenesis of cardiovascular diseases such as acute myocardial infarction (AMI). Percutaneous coronary intervention (PCI) is currently the most direct and effective procedure to treat AMI, but the occurrence of postoperative cardiovascular events (MACE) affects patients' quality of life. The objective of this study was to identify a new biomarker that could provide a theoretical basis for the prevention of MACE in patients with AMI undergoing PCI.

METHODS

142 AMI patients who underwent PCI and 130 healthy volunteers were selected as study subjects. Detection of miR-636 expression level by fluorescence quantitative PCR. ROC, Kaplan-Meier and Cox regression analyses were applied to evaluate the diagnostic and prognostic value of miR-636 for AMI. The miR-636 target genes were predicted and enriched for GO function and KEGG pathway.

RESULTS

MiR-636 expression levels were elevated in patients with AMI. ROC curve analysis showed that miR-636 had a feasible diagnostic value in distinguishing AMI patients from healthy controls miR-636 expression levels were elevated in patients who developed MACEs. ROC results showed that miR-636 had significant diagnostic value in differentiating AMI patients with and without MACEs after PCI treatment. GO and KEGG enrichment analyses showed that miR-636 may transmit information to vesicles formed by the cell membrane.

CONCLUSIONS

MiR-636 expression serves as a biomarker for diagnosing AMI and predicting the occurrence of MACE after PCI.