Expression And Predictive Value Of Long Non-Coding RNA ENST00000581794.1 In Acute Myocardial Infarction

Objective: Acute myocardial infarction(AMI)is a cardiovascular disease with high morbidity and mortality.Is the number one killer threatening human health.More and more studies show that long non-coding RNA(lncRNA)plays an important role in AMI.However,research on lncRNA expression in AMI is limited.Our recent chip study found lncRNA ENST00000581794.1 in peripheral blood mononuclear cells(PBMCs).Further functional enrichment analysis through GO and Pathway databases showed that ENST00000581794.1 is involved in the pathogenesis of AMI and may be a potential biomarker for the disease.In this study,we measured the expression level of ENST00000581794.1 in PBMCs in acute myocardial infarction and healthy controls.To analyze the relationship between the expression level of enst00000581794.1 and the risk factors related to AMI.To evaluate its predictive effect on major adverse cardiovascular events(MACE).Identify the potential of ENST00000581794.1 as a novel biomarker for the diagnosis and prognosis of AMI.Methods: This study included 58 AMI patients and 58 healthy controls who visited the Heart Center of the First Affiliated Hospital of Xinjiang Medical University from September 2017 to February 2018.All patients diagnosed with AMI underwent Percutaneous Coronary Intervention(PCI).Venous blood samples were collected from patients within 6 hours after the onset of chest pain,and the expression level of lncRNA in PBMCs was measured by RT-qPCR.All patients were followed up for 12 ± 1 months.Results: 1.The expression level of ENST0000581794.1 in PBMCs of AMI patients was significantly higher than that of the control group(P = 0.002).2.The ROC curve showed that lncRNA ENST0000581794.1(area under the curve(AUC)= 0.744,95% confidence interval(CI): 0.61-0.88,P=0.004)had a predictive effect on major cardiovascular adverse events(MACE).3.Survival curve analysis showed that with the extension of observation time,the incidence of MACE in patients with high expression of ENST0000581794.1 increased significantly.4.Multiple regression analysis showed that ENST0000581794.1 was an independent predictor of MACE in AMI patients(hazard ratio(HR): 1.17,95% CI: 1.00-1.37,P=0.048).Conclusion: The expression level of ENST00000581794.1 in PBMCs can be used as a new biomarker for the diagnosis and prognosis of AMI.