Background: The pathogenic mechanism and development of the diabetic cardiomyopathy(DCM) has been generally explained, and it is clear that the microRNAs(miRNAs), mRNAs and transcription factors(TFs) participate in the process of the DCM disease. Yet, the hub targets of the disease progression are not clear.Methods: To figure out the problem, we downloaded data sets from the Gene Expression Omnibus(GEO) database (GSE44179 and GSE4745). The targeted mRNAs of miRNAs were downloaded from TargetScan, miRBD and microT-CDS database. Gene Ontology (GO) enrichment of miRNAs and mRNAs were analysed in DAVID.R studio software was used to visualize the results of screened targets and GO enrichment. Cytoscape software was used to visualize the miRNA-mRNA-TF interaction network and calculate the hub targets. Results: We filtered eight miRNAs, nine mRNAs and ten transcription factors(TFs) by bioinformatics analysis, and constructed a miRNA-mRNA-TF network. The top ten degrees of nodes in the network are rno-miR-7a, Hnf4a, rno-miR-17, rno-miR-21, rno-miR-122, rno-miR-200c, Med1, Mlxipl, SP1 and rno-miR-34a, which were closely related to the process of DCM. Conclusion: This study revealed that rno-miR-7a, Hnf4a, rno-miR-17and rno-miR-21 may play vital role in the progress of diabetic cardiomyopathy.
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