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Bioinformatics analysis of microRNA profiles and identification of microRNA-mRNA network and biological markers in intracranial aneurysm

机译：微小RNA谱的生物信息学分析及颅内动脉瘤微小RNA-mRNA网络鉴定及鉴定

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Intracranial aneurysm (IA) is a kind of cerebrovascular disorder, which may result in the subarachnoid hemorrhage with high lethality and disability. The purpose of this study was to reveal the pathogenesis and identify novel biomarkers in IA. We processed the raw microRNA (miRNA) expression profile data of IA obtained from Gene Expression Omnibus. Then weighted correlation network analysis was performed to identify the hub miRNAs in IA. Target genes of hub miRNAs were predicted using multiR package. In addition, a protein-protein network as well as miRNA-mRNA network was constructed and functional and pathway enrichment analyses were done. Finally, the prediction value of hub miRNAs in IA was tested in validation set. Two modules that had relation with IA were identified and 10 hub miRNAs in each module with higher gene-module association were selected. The protein-protein network and miRNA-mRNA network contained 243 nodes and 1496 edges. Functional and pathway enrichment analyses showed that they were mainly enriched in cell cycle, cell proliferation, and PI3K/Akt signaling pathways. Besides, hsa-miR-191-3p, hsa-miR-423-5p, hsa-miR-424-5p, hsa-miR-425-3p were proven to be valuable in prediction IA occurrence. In a word, this study reveals hub miRNAs, target genes and pathways potentially participating in formation and development of IA and screens out some candidate biomarkers . Our findings provide some new perspectives for research and treatment of IA.
机译：颅内动脉瘤（IA）是一种脑血管疾病，可能导致亚麻瘤出血具有高致死性和残疾。本研究的目的是揭示发病机制和识别IA的新型生物标志物。我们处理了从基因表达综合症获得的Ia的原始microRNA（miRNA）表达谱系数据。然后进行加权相关网络分析以识别IA中的轮毂miRNA。使用Multir包预测集线器miRNA的靶基因。此外，构建了蛋白质 - 蛋白质网络以及miRNA-mRNA网络，并进行功能性和途径富集分析。最后，在验证集中测试了IA中Hub miRNA的预测值。鉴定了与IA有关系的两个模块，并选择了每个模块中的10个Hub miRNA，具有更高的基因模块关联。蛋白质 - 蛋白质网络和miRNA-mRNA网络包含243个节点和1496个边缘。功能性和途径富集分析表明它们主要富集细胞周期，细胞增殖和PI3K / AKT信号传导途径。此外，HSA-MIR-191-3P，HSA-MIR-423-5P，HSA-MIR-424-5P，HSA-MIR-425-5P，HSA-MIR-425-3P，在预测IA的发生中是有价值的。总之，本研究揭示了集线器MiRNA，靶基因和潜在地参与IA的形成和发展并筛选出一些候选生物标志物。我们的研究结果为IA的研究和治疗提供了一些新的视角。

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