Acute, chronic myocarditis as myocardial localized or diffuse inflammation lesions is usually involving cardiac function in patients with severe adverse outcomes such as heart failure, sudden death, and no unified, but its pathogenesis clinical is mainly composed of a number of factors including infection and autoimmune defects, such as physical and chemical factors; therefore, it is of great significance to explore the regulation mechanism of myocarditis-related miRNA network connectivity and temperament for in-depth understanding of the pathogenesis of myocarditis and the direction of targeted therapy. Based on this, this study explored the miRNA network related to the pathogenesis of myocarditis through deep learning medical data association rules and analyzed its specific mechanism. The results showed that 39 upregulated miRNAs, 88 downregulated miRNAs, 109 upregulated differentially expressed miRNAs, and 589 downregulated mRNAs were obtained by data association through GSE126677 and GSE4172 databases. GO enrichment and KRGG enrichment analysis showed that the differentially expressed mRNAs were involved in the regulation of a variety of biological processes, cellular components, and molecular functions. At the same time, the miRNA with differentially expressed miRNAs and their corresponding mRNAs were connected to further clarify the specific molecular mechanism of the pathological changes of myocarditis by constructing miRNA-mRNA network. It provides effective potential molecular targets for subsequent treatment and diagnosis.

中文翻译：

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基于深度学习的医学数据关联规则探索心肌炎中 miRNA-mRNA 网络的连通性和调控机制

急性、慢性心肌炎为心肌局限性或弥漫性炎症病变，通常累及患者的心脏功能，出现心力衰竭、猝死等严重不良后果，临床表现不统一，但其发病机制临床主要由感染、自身免疫等多种因素组成。物理、化学因素等缺陷；因此，探索心肌炎相关miRNA网络连通性和气质的调控机制，对于深入了解心肌炎的发病机制和靶向治疗方向具有重要意义。基于此，本研究通过深度学习医学数据关联规则，探索与心肌炎发病机制相关的miRNA网络，并分析其具体机制。结果表明，39 个上调的 miRNA，通过GSE126677和GSE4172数据库进行数据关联，获得88个下调的miRNA，109个上调的差异表达miRNA，589个下调的mRNA。GO富集和KRGG富集分析表明，差异表达的mRNA参与多种生物过程、细胞成分和分子功能的调控。同时，通过构建miRNA-mRNA网络，将具有差异表达miRNA的miRNA与其对应的mRNA连接起来，进一步阐明心肌炎病理变化的具体分子机制。它为后续的治疗和诊断提供了有效的潜在分子靶点。通过GSE126677和GSE4172数据库进行数据关联，获得了589个下调的mRNA。GO富集和KRGG富集分析表明，差异表达的mRNA参与多种生物过程、细胞成分和分子功能的调控。同时，通过构建miRNA-mRNA网络，将具有差异表达miRNA的miRNA与其对应的mRNA连接起来，进一步阐明心肌炎病理变化的具体分子机制。它为后续的治疗和诊断提供了有效的潜在分子靶点。通过GSE126677和GSE4172数据库进行数据关联，获得了589个下调的mRNA。GO富集和KRGG富集分析表明，差异表达的mRNA参与多种生物过程、细胞成分和分子功能的调控。同时，通过构建miRNA-mRNA网络，将具有差异表达miRNA的miRNA与其对应的mRNA连接起来，进一步阐明心肌炎病理变化的具体分子机制。它为后续的治疗和诊断提供了有效的潜在分子靶点。和分子功能。同时，通过构建miRNA-mRNA网络，将具有差异表达miRNA的miRNA与其对应的mRNA连接起来，进一步阐明心肌炎病理变化的具体分子机制。它为后续的治疗和诊断提供了有效的潜在分子靶点。和分子功能。同时，通过构建miRNA-mRNA网络，将具有差异表达miRNA的miRNA与其对应的mRNA连接起来，进一步阐明心肌炎病理变化的具体分子机制。它为后续的治疗和诊断提供了有效的潜在分子靶点。