Circulating microRNA expression profiling and bioinformatics analysis of patients with coronary artery disease by RNA sequencing. Issue 1 (5th September 2019)

• Record Type: Journal Article
• Authors: Zhong, Zhixiong; Zhong, Wei; Zhang, Qifeng; Zhang, Qunji; Yu, Zhikang; Wu, Heming
• Is Part Of: Journal of clinical laboratory analysis. Volume 34:Issue 1(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-09-05
• Subjects: Chinese -- circulating microRNA -- coronary artery disease -- expression profiles -- Hakka; Diagnosis, Laboratory -- Periodicals; Medical laboratory technology -- Periodicals; 616
• DOI: 10.1002/jcla.23020
• Languages: English
• ISSNs: 0887-8013

Abstract

Abstract: Background: MicroRNAs play a vital role in coronary artery disease. Abnormal expression of microRNAs has been found to be associated with the occurrence of CAD. Methods: We identified significantly differentially expressed microRNAs in plasma between 40 patients with CAD and 10 controls with NCA using RNA sequencing. The differentially expressed microRNAs were analyzed for Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Results: Fifty cDNA libraries were constructed and sequenced, and a total of 1871.82 M raw reads were obtained, and 2135 microRNAs were found. Compared to the expressed microRNAs of NCA controls, 159 microRNAs were differentially expressed in CAD patients, including 119 upregulated microRNAs and 40 downregulated microRNAs. The top 10 upregulated miRNAs were miR‐144‐3p, miR‐34a‐5p, miR‐15b‐3p, miR‐22‐3p, miR‐29b‐3p, miR‐1270, miR‐6891‐5p, miR‐106a‐5p, miR‐15b‐5p, and hsa‐miR‐499b‐3p. The top ten downregulated miRNAs were miR‐4437, miR‐6842‐3p, miR‐4664‐3p, miR‐671‐3p, miR‐219a‐1‐3p, miR‐7848‐3p, miR‐664a‐3p, miR‐1284, miR‐361‐3p, and miR‐6780a‐5p. The target genes of differentially expressed microRNAs were related to many basic biological terms, such as biological process, cellular component, and molecular function. According to the KEGG pathway analysis, the most enriched pathways of the differentially expressed microRNAs were endocytosis, focal adhesion, axon guidance, and so on. Furthermore, six upregulated and two downregulated microRNAs were detected by qRT‐PCR (Quantitative Real‐time PCR) and ROC analysis for diagnosing CAD. Conclusion: The results suggest that the expression levels of some microRNAs may play a vital role in the physiological and pathological course of CAD. Our study may provide useful information for the diagnosis and treatment of CAD.