Expression profiling and bioinformatics analysis of circulating microRNAs in patients with acute myocardial

Zhixiong Zhong1,2,3,4,5, Heming Wu2,3,4,5,6, Wei Zhong1,2,3,4,5

  • 1Center for Cardiovascular Diseases, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.

Abstract

Insights

Researchers identified 181 differentially expressed microRNAs (miRNAs) in patients with Acute Myocardial Infarction (AMI). These circulating miRNAs show potential as novel biomarkers for diagnosing AMI, warranting further investigation for clinical application.

Area of Science:

  • Cardiovascular Medicine
  • Molecular Biology
  • Genomics

Background:

  • Acute Myocardial Infarction (AMI) is a severe manifestation of coronary atherosclerotic heart disease.
  • MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression and are implicated in various diseases.

Purpose of the Study:

  • To investigate miRNA expression profiles in patients with AMI.
  • To identify potential circulating miRNA biomarkers for AMI diagnosis.

Main Methods:

  • RNA sequencing was used to compare miRNA expression in 16 AMI patients and 6 non-AMI controls.
  • Differentially expressed miRNAs were identified, and their target genes were predicted using Gene Ontology (GO) analysis.
  • KEGG pathway analysis and Receiver Operating Characteristic (ROC) curve analysis were performed.

Main Results:

  • A total of 181 differentially expressed miRNAs were identified in AMI patients, with 96 upregulated and 85 downregulated.
  • GO analysis predicted 19,841 target genes, enriched in various biological processes, molecular functions, and cellular components.
  • KEGG pathway analysis revealed enrichment in 214 signaling pathways, and ROC analysis indicated the diagnostic value of circulating miRNAs for AMI.

Conclusions:

  • Circulating miRNAs are differentially expressed in AMI and hold significant potential as novel diagnostic biomarkers.
  • Further research is required to validate these findings for clinical application in AMI diagnosis and treatment.