Background: Intracranial aneurysm (IA) is a disease resulted from weak brain control, characterized by local expansion or dilation of brain artery. This study aimed to construct a gene co-expression network by Weighted Gene Correlation Network Analysis (WGCNA) to explore the potential key pathways and genes for the development of IA.Method: Six IA-related gene expression data sets were downloaded from the Gene Expression Omnibus (GEO) database for identifying differentially expressed genes (DEGs). WGCNA was used to identify modules associated with IA. Functional enrichment analysis was used to explore the potential biological functions. ROC analysis was used to find markers for predicting IA.Results: Purple, greenyellow and yellow modules were significantly associated with unruptured intracranial aneurysms, while blue and turquoise modules were significantly associated with ruptured intracranial aneurysms. Functional modules significantly related to IA were enriched in Ribosome, Glutathione metabolism, cAMP signalling pathway, Lysosome, Glycosaminoglycan degradation and other pathways. CD163, FCEREG, FPR1, ITGAM, NLRC4, PDG, and TYROBP were up-regulated ruptured intracranial aneurysms and serum, these genes were potential circulating markers for predicting IA rupture.Conclusions: Potential IA-related key pathways, genes and circulating markers were identified for predicting IA rupture by WGCNA analysis.

中文翻译：

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基于加权基因共表达网络分析，鉴定颅内动脉瘤发展中潜在的关键途径，基因和循环标志物。

背景：颅内动脉瘤（IA）是一种由于大脑控制能力弱导致的疾病，其特征是脑动脉局部扩张或扩张。本研究旨在通过加权基因相关网络分析（WGCNA）构建一个基因共表达网络，以探索IA发生的潜在关键途径和基因。方法：从Gene Expression中下载了六个与IA相关的基因表达数据集综合（GEO）数据库，用于鉴定差异表达基因（DEG）。WGCNA被用来识别与IA相关的模块。功能富集分析被用来探索潜在的生物学功能。结果：紫色，绿色，黄色和黄色模块与未破裂的颅内动脉瘤显着相关，而蓝绿色和青绿色模块与颅内动脉瘤破裂显着相关。与IA重要相关的功能模块富含核糖体，谷胱甘肽代谢，cAMP信号传导途径，溶酶体，糖胺聚糖降解和其他途径。CD163，FCEREG，FPR1，ITGAM，NLRC4，PDG和TYROBP是破裂的颅内动脉瘤和血清的上调基因，这些基因是预测IA破裂的潜在循环标志。结论：确定了与IA相关的潜在关键途径，基因和循环标志通过WGCNA分析预测IA破裂。