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使用加权相关网络分析识别和验证介导颅内动脉瘤破裂的关键基因并探索个性化治疗。

Identifying and validating key genes mediating intracranial aneurysm rupture using weighted correlation network analysis and exploration of personalized treatment.

作者信息

Wu Ji, Chen Zhi-Jun, Liang Jing, Lai Chang-Sheng, Li Xue-Yu, Yang Zhao-Jian

机构信息

Department of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.

Department of Neurosurgery, Red Cross Hospital of Yulin City, Yulin, China.

出版信息

Ann Transl Med. 2022 Oct;10(19):1057. doi: 10.21037/atm-22-4068.

Abstract

BACKGROUND

Intracranial aneurysmal subarachnoid hemorrhage (aSAH) is a dangerous and highly fatal condition if ruptured. Significant advances have been made in the treatment of unruptured intracranial aneurysms (UIAs), but risk assessment methods for early diagnosis of intracranial aneurysm (IA) rupture remain limited.

METHODS

The datasets of IA GSE13353, GSE15629, and GSE54083 were downloaded through the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in unruptured and ruptured aneurysms were identified by R software using methods such as gene set enrichment analysis (GSEA) and weighted gene co-expression network analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the DEGs, and logistic regression models were used to construct a prediction model to discriminate UIA from healthy samples. We then performed GSEA on the genes in the model, followed by model validation using the GSE54083 dataset. Finally, we used the single-sample (ss)GSEA method to investigate the relationship between the diagnostic model genes and immune cells and immune function.

RESULTS

A total of 79 DEGs were obtained in patients with IA rupture compared to unruptured controls. The results of KEGG and GO enrichment analysis showed that neutrophil activation is involved in immune response, neutrophil mediated immunity, and positive regulation of angiogenesis. Interestingly, the results of immunoassays demonstrated that the break in IA may be associated with immune T cells. We used DEGs and WGCNA to determine common genes. The logistic regression model was trained based on 24 intersecting genes, and eventually retained 2 genes, and , which we found to be reliable using the validation set, and GSEA revealed that the diagnostic model was associated with the Hippo signaling pathway and vascular smooth muscle contraction, and viral protein interaction with cytokine and cytokine were also associated. Finally explored using the CMap database, Tivozanib could be a potential small molecule drug for the treatment of ruptured intracranial aneurysms (RIAs).

CONCLUSIONS

We identified new diagnostic genes associated with IA rupture, which may provide a new way of aneurysm diagnosis.

摘要

背景

颅内动脉瘤性蛛网膜下腔出血(aSAH)一旦破裂,是一种危险且致死率很高的病症。在未破裂颅内动脉瘤(UIA)的治疗方面已取得显著进展,但颅内动脉瘤(IA)破裂早期诊断的风险评估方法仍然有限。

方法

通过基因表达综合数据库(GEO)下载IA的GSE13353、GSE15629和GSE54083数据集。使用基因集富集分析(GSEA)和加权基因共表达网络分析(WGCNA)等方法,通过R软件识别未破裂和破裂动脉瘤中的差异表达基因(DEG)。对DEG进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析,并使用逻辑回归模型构建预测模型,以区分UIA和健康样本。然后我们对模型中的基因进行GSEA,随后使用GSE54083数据集进行模型验证。最后,我们使用单样本(ss)GSEA方法研究诊断模型基因与免疫细胞及免疫功能之间的关系。

结果

与未破裂对照组相比,IA破裂患者共获得79个DEG。KEGG和GO富集分析结果表明,中性粒细胞活化参与免疫反应、中性粒细胞介导的免疫和血管生成的正调控。有趣的是,免疫分析结果表明,IA的破裂可能与免疫T细胞有关。我们使用DEG和WGCNA确定共同基因。基于24个交集基因训练逻辑回归模型,最终保留了2个基因 和 ,我们使用验证集发现它们是可靠的,GSEA显示诊断模型与Hippo信号通路和血管平滑肌收缩有关,病毒蛋白与细胞因子的相互作用以及细胞因子之间的相互作用也有关。最后使用CMap数据库进行探索,替沃扎尼可能是治疗破裂颅内动脉瘤(RIA)的潜在小分子药物。

结论

我们鉴定出与IA破裂相关的新诊断基因,这可能为动脉瘤诊断提供新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/376c/9622481/66397232083c/atm-10-19-1057-f1.jpg

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