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

IF 2.1 4区 医学 Q4 CLINICAL NEUROLOGY
Pui Man Rosalind Lai, Joey D Morgan, Vincent M Tutino, Adnan H Siddiqui, Elad I Levy
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引用次数: 0

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 × 10-25), muscle contraction (GO:0006936, FDR = 1.1 × 10-3), and endocrine-related phosphatidylcholine sterol O-acyltransferase activator activity (GO:0060228, padj = 3.2 × 10-2) 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.

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、炎症和内分泌通路相关的主要枢纽基因。
背景:颅内动脉瘤(IA)的发病涉及遗传易感性与局灶性细胞外基质(ECM)膜降解和炎症过程之间复杂的相互作用。我们的目标是鉴定关键差异表达基因(DEGs),这些基因作为枢纽基因(具有大网络的主要基因)与IAs相关。方法对从数据库建立到2024年1月已有的IA组织基因表达Omnibus (Gene Expression Omnibus)数据库进行全面检索。这产生了5个GEO数据集,其中4个数据集被纳入发现集,包括来自28个IAs和34个对照的组织。鉴定了deg并将其用于基因本体(GO)和京都基因与基因组百科全书数据库路径的富集分析。构建了一个蛋白质-蛋白质相互作用(PPI)的DEG网络,以确定与其他DEG的相互作用。第五个GEO数据集用于验证枢纽基因表达。结果共鉴定出1864个基因,其中963个基因下调,901个基因上调。三个基因簇与关键的生物过程有关;值得注意的是,炎症反应(GO:006954,错误发现率[FDR] = 7.12 × 10-25)、肌肉收缩(GO:0006936, FDR = 1.1 × 10-3)和内分泌相关的磷脂酰胆碱甾醇o -酰基转移酶激活剂活性(GO:0060228, padj = 3.2 × 10-2)途径。共鉴定出11个枢纽基因,其中8个(COL1A、CXCR4、IL10、CXCL8、ESR1、APOE、RN1和IGF1)得到验证。据我们所知,这项研究代表了迄今为止对IAs进行的最大规模的生物信息学分析,鉴定了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,内分泌相关过程的潜在参与,如雌激素受体信号传导和胆固醇代谢,特别有趣,以前没有在这方面进行过很好的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Interventional Neuroradiology
Interventional Neuroradiology CLINICAL NEUROLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
3.60
自引率
11.80%
发文量
192
审稿时长
6-12 weeks
期刊介绍: Interventional Neuroradiology (INR) is a peer-reviewed clinical practice journal documenting the current state of interventional neuroradiology worldwide. INR publishes original clinical observations, descriptions of new techniques or procedures, case reports, and articles on the ethical and social aspects of related health care. Original research published in INR is related to the practice of interventional neuroradiology...
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