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生物信息学分析揭示了与颅内动脉瘤组织相关的细胞外基质、炎症和内分泌途径中的主要枢纽基因。

Bioinformatics analysis reveals major hub genes involved with extracellular matrix and inflammatory and endocrine pathways associated with intracranial aneurysm tissue.

作者信息

Lai Pui Man Rosalind, Morgan Joey D, Tutino Vincent M, Siddiqui Adnan H, Levy Elad I

机构信息

Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.

Department of Neurosurgery, Gates Vascular Institute at Kaleida Health, Buffalo, NY, USA.

出版信息

Interv Neuroradiol. 2025 Jul 21:15910199251356786. doi: 10.1177/15910199251356786.

Abstract

BackgroundIntracranial aneurysm (IA) pathogenesis involves complex interplay between genetic predisposition and focal extracellular matrix (ECM) membrane degradation and inflammatory processes. We aimed to identify key differentially expressed genes (DEGs) that serve as hub genes (major genes with large networks) associated with IAs.MethodsWe conducted a comprehensive search of available Gene Expression Omnibus (GEO) databases for IA tissue from database inception to January 2024. This resulted in five GEO datasets, of which four were included as the discovery set, consisting of tissue from 28 IAs and 34 controls. DEGs were identified and used for enrichment analysis in evaluating Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes database pathways. A protein-protein interaction (PPI) DEG network was constructed to pinpoint interactions with other DEGs. The fifth GEO dataset was used to validate hub gene expressions.ResultsWe identified 1864 DEGs: 963 downregulated, 901 upregulated. Three gene clusters were linked to critical biological processes; notably, inflammatory response (GO:006954, false discovery rate [FDR] = 7.12 × 10), muscle contraction (GO:0006936, FDR = 1.1 × 10), and endocrine-related phosphatidylcholine sterol O-acyltransferase activator activity (GO:0060228,  = 3.2 × 10) pathways. Eleven hub genes were identified, of which eight (COL1A, CXCR4, IL10, CXCL8, ESR1, APOE, RN1, and IGF1) were validated.ConclusionsTo our knowledge, this study represents the largest bioinformatics analysis to date on IAs, resulting in identification of 11 hub genes involved in ECM and immunologic pathways. These findings are consistent with existing literature; however, the potential involvement of endocrine-related processes, such as estrogen receptor signaling and cholesterol metabolism, is particularly intriguing and has not been previously well studied in this context.

摘要

背景

颅内动脉瘤(IA)的发病机制涉及遗传易感性与局部细胞外基质(ECM)膜降解及炎症过程之间的复杂相互作用。我们旨在鉴定作为与IA相关的枢纽基因(具有大网络的主要基因)的关键差异表达基因(DEG)。

方法

我们对可用的基因表达综合数据库(GEO)进行了全面搜索,以获取从数据库建立到2024年1月的IA组织数据。这产生了五个GEO数据集,其中四个被用作发现集,由28个IA组织和34个对照组织组成。鉴定出DEG并用于富集分析,以评估基因本体(GO)和京都基因与基因组百科全书数据库途径。构建蛋白质-蛋白质相互作用(PPI)DEG网络以查明与其他DEG的相互作用。第五个GEO数据集用于验证枢纽基因表达。

结果

我们鉴定出1864个DEG:963个下调,901个上调。三个基因簇与关键生物学过程相关;值得注意的是,炎症反应(GO:006954,错误发现率[FDR]=7.12×10)、肌肉收缩(GO:0006936,FDR=1.1×10)和内分泌相关的磷脂酰胆碱固醇O-酰基转移酶激活剂活性(GO:0060228,=3.2×10)途径。鉴定出11个枢纽基因,其中8个(COL1A、CXCR4、IL10、CXCL8、ESR1、APOE、RN1和IGF1)得到验证。

结论

据我们所知,本研究是迄今为止关于IA的最大规模生物信息学分析,鉴定出11个参与ECM和免疫途径的枢纽基因。这些发现与现有文献一致;然而,内分泌相关过程(如雌激素受体信号传导和胆固醇代谢)的潜在参与尤其引人关注,且此前在这方面尚未得到充分研究。

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The Gene Ontology knowledgebase in 2023.2023 版基因本体论知识库。
Genetics. 2023 May 4;224(1). doi: 10.1093/genetics/iyad031.

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