Objective: Using microarray technology, to research characteristic circRNA and miRNA expression profile of acute myocardial infarction (AMI), and then explore the role of these circRNA and miRNA in gene regulation. The aim is to explore the mechanism of development of AMI. Methods: The patients hospitalized in the Cardiovascular Research Center of the First Affiliated Hospital of Xinxiang Medical University between November 2016 and January 2017 were included and divided into control group and AMI group according to diagnostic criteria. We collected their whole blood and extracted the total RNA, and the expression profiles of circRNA and microRNA genes in peripheral blood of AMI were analyzed by gene chip. We predicted circRNA which was possible to combine with miRNA, and drew a network diagram, and the differentially expressed circRNA was analyzed by GO and Pathway. Results: There was difference in circRNA expression profile between the control group and the AMI group. The results showed: (1) a total of 1 670 circRNA had differential expressions, and in the analysis of miRNA expression, 13 miRNA had differential expressions (P<0.05, fc≥2); (2) multiple circRNAs-miRNAs were involved in the occurrence of AMI; (3) the analysis of GO and Pathway for differentially expressed circRNAs showed that many pathways, disease and function participated in it. Conclusion: CircRNA, as an important post transcriptional regulator, is closely related to the development of AMI with miRNA.
Objective: Using microarray technology, to research characteristic circRNA and miRNA expression profile of acute myocardial infarction (AMI), and then explore the role of these circRNA and miRNA in gene regulation. The aim is to explore the mechanism of development of AMI. Methods: The patients hospitalized in the Cardiovascular Research Center of the First Affiliated Hospital of Xinxiang Medical University between November 2016 and January 2017 were included and divided into control group and AMI group according to diagnostic criteria. We collected their whole blood and extracted the total RNA, and the expression profiles of circRNA and microRNA genes in peripheral blood of AMI were analyzed by gene chip. We predicted circRNA which was possible to combine with miRNA, and drew a network diagram, and the differentially expressed circRNA was analyzed by GO and Pathway. Results: There was difference in circRNA expression profile between the control group and the AMI group. The results showed: (1) a total of 1 670 circRNA had differential expressions, and in the analysis of miRNA expression, 13 miRNA had differential expressions (P<0.05, fc≥2); (2) multiple circRNAs-miRNAs were involved in the occurrence of AMI; (3) the analysis of GO and Pathway for differentially expressed circRNAs showed that many pathways, disease and function participated in it. Conclusion: CircRNA, as an important post transcriptional regulator, is closely related to the development of AMI with miRNA.