Wang Kezhen, Wang Xinmin, Lv Hongzhu, Cui Chengzhi, Leng Jiyong, Xu Kai, Yu Guosong, Chen Jianwei, Cong Peiyu
Department of Neurosurgery, Dalian Municipal Central Hospital Affiliated to Dalian Medical University, Dalian, Liaoning 116033, P.R. China.
Dalian Medical University Graduate School, Dalian Medical University, Dalian, Liaoning 116044, P.R. China.
Exp Ther Med. 2017 Jun;13(6):3239-3248. doi: 10.3892/etm.2017.4378. Epub 2017 Apr 25.
Intracranial aneurysm (IA) remains one of the most devastating neurological conditions. However, the pathophysiology of IA formation and rupture still remains unclear. The purpose of the present study was to identify the crucial microRNA (miRNA/miR) and genes involved in IAs and elucidate the mechanisms underlying the development of IAs. In the present study, novel miRNA regulation activities in IAs were investigated through the integration of public gene expression data of miRNA and mRNA using the Gene Expression Omnibus database, combined with bioinformatics prediction. A total of 15 differentially expressed miRNA and 1,447 differentially expressed mRNA between IAs and controls were identified. A number of miRNA-target gene pairs (770), whose expression levels were inversely correlated, were used to construct a regulatory network of miRNA-target genes in IAs. The biological functions and pathways of these target genes were revealed to be associated with IAs. Specific miRNA and genes, such as hsa-let-7f, hsa-let-7d, hsa-miR-7, RPS6KA3, TSC1 and IGF1 may possess key roles in the development of IAs. The integrated analysis in the present study may provide insights into the understanding of underlying molecular mechanisms of IAs and novel therapeutic targets.
颅内动脉瘤（IA）仍然是最具破坏性的神经系统疾病之一。然而，IA形成和破裂的病理生理学仍不清楚。本研究的目的是确定参与IA的关键微小RNA（miRNA/miR）和基因，并阐明IA发展的潜在机制。在本研究中，通过使用基因表达综合数据库整合miRNA和mRNA的公共基因表达数据，并结合生物信息学预测，研究了IA中新型miRNA调控活性。在IA和对照之间共鉴定出15种差异表达的miRNA和1447种差异表达的mRNA。利用许多表达水平呈负相关的miRNA-靶基因对（770个）构建了IA中miRNA-靶基因的调控网络。这些靶基因的生物学功能和途径被揭示与IA相关。特定的miRNA和基因，如hsa-let-7f、hsa-let-7d、hsa-miR-7、RPS6KA3、TSC1和IGF1可能在IA的发展中起关键作用。本研究中的综合分析可能为理解IA的潜在分子机制和新的治疗靶点提供见解。
