It is crucial to identify potential molecular targets and their interaction involved in myocardial infarction (MI). In our study, we obtained microarray data of MI from GEO database and identify differentially expressed mRNAs and microRNAs (miRNAs). Compared with normal tissues, 686 mRNAs and 16 miRNAs were differentially expressed in MI. Subsequently, function enrichment analysis was performed to further investigate their biological functions. Also, gene set enrichment analysis indicated they were enriched into Pathway in cancer. Besides, protein–protein interaction analysis was performed to assess the interactions of the differentially expressed mRNAs. Finally, we constructed an mRNA–miRNA interaction network based on the overlapping genes between the differentially expressed mRNAs and predicted target genes of dysregulated miRNAs. The network demonstrated three MI-associated miRNAs, miR-498, miR-181a, and miR-612, and 45 novel target genes, as well as their interaction involved in MI. What is more, in vitro and in vivo quantitative real-time PCR confirmed our results were consistent. In conclusion, miR-498, miR-181a, and miR-612 may participate in the pathogenesis of MI and may serve as the potential therapeutic targets or biomarkers.

中文翻译：

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使用整合的microRNA基因表达网络分析技术鉴定心肌梗死相关基因

确定潜在的分子靶标及其与心肌梗塞（MI）的相互作用至关重要。在我们的研究中，我们从GEO数据库中获得了MI的微阵列数据，并鉴定了差异表达的mRNA和microRNA（miRNA）。与正常组织相比，MI中有686个mRNA和16个miRNA差异表达。随后，进行功能富集分析以进一步研究其生物学功能。另外，基因集富集分析表明它们已富集到癌症的通路中。此外，还进行了蛋白质间相互作用分析，以评估差异表达的mRNA的相互作用。最后，我们基于差异表达的mRNA与失调的miRNA的预测靶基因之间的重叠基因构建了一个mRNA-miRNA相互作用网络。该网络展示了三个与MI相关的miRNA，miR-498，miR-181a和miR-612，以及45个新的靶基因，以及它们与MI相关的相互作用。更，体外和体内定量实时PCR证实了我们的结果是一致的。总之，miR-498，miR-181a和miR-612可能参与MI的发病机制，并可能充当潜在的治疗靶标或生物标记物。