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FEBS Open Bio. 2018 Apr 19;8(6):897-913. doi: 10.1002/2211-5463.12423. eCollection 2018 Jun.

Bioinformatic screening for key miRNAs and genes associated with myocardial infarction.

Author information

1
Department of Cardiology Beijing Anzhen Hospital Capital Medical University Beijing China.
2
Department of Cardiology Central Hospital of Taian of Shandong Province China.
3
Department of Cardiology Affiliated Hospital of Taishan Medical University of Shandong Province Taian China.
4
Department of Radiology Taishan Medical University of Shandong Province Taian China.
5
Department of Respiration Medicine Central Hospital of Taian of Shandong Province China.

Abstract

Despite significant advances in understanding of the causes of and treatment of myocardial infarction (MI) in recent years, morbidity and mortality is still high. The aim of this study was to identify miRNA and genes potentially associated with MI. mRNA and miRNA expression datasets were downloaded from the Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/). Interactions between miRNA and the expression and function of target genes were analyzed, and a protein-protein interaction network was constructed. The diagnostic value of identified miRNA and genes was assessed. Quantitative RT-PCR was applied to validate the results of the bioinformatics analysis. MiR-27a, miR-31*, miR-1291, miR-139-5p, miR-204, miR-375, and target genes including CX3CR1,HSPA6, and TPM3 had potential diagnostic value. The genes TFEB,IRS2,GRB2,FASLG,LIMS1,CX3CR1,HSPA6,TPM3,LAT2,CEBPD,AQP9, and MAPKAPK2 were associated with recovery from MI. In conclusion, the identified miRNA and genes might be associated with the pathology of MI.

KEYWORDS:

diagnostic biomarkers; miRNA‐target network; myocardial infarction; protein–protein interaction network

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