通过综合生物信息学分析鉴定颅内动脉瘤进展相关的关键基因和miRNA-mRNA调控网络。

IF 3.5 4区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xi'ao Wang, Valentin Pavlov, Ilgiz Gareev, Shancai Xu
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引用次数: 0

摘要

背景:颅内动脉瘤(IAs)是非外伤性蛛网膜下腔出血(SAH)的主要原因,占所有颅内出血病例的85%。本研究的目的是确定揭示IAs进展的核心基因和途径。材料和方法:我们使用基因表达Omnibus (GEO)的mRNA表达谱数据筛选差异表达基因(deg)。然后利用ACBI生物信息工具中的GEO数据分析模块和数据库进行deg的功能和途径富集分析,用于注释,可视化和集成发现(DAVID)。使用miRWalk (Version 3.0)数据库预测miRNAs差异表达的靶基因,并选择这些预测与deg之间的交集作为差异表达的miRNAs靶基因。此外,构建了蛋白-蛋白相互作用(PPI)网络和miRNAmRNA调控网络。最后,进行L1000CDS2数据库分析以确定IAs的潜在治疗靶点。结果:从GSE13353和GSE15629数据集中分别鉴定出742个和171个基因。DEGs的PPI由868个节点和618个边组成,分别包含392个上调基因和521个下调基因,同时鉴定出10个枢纽基因。在前10个枢纽基因中,CXCR4、IL6、CCR5、CCL5、CXCR2、CXCL1、CCL2、CCL20、CD4和CXCL10被证明是正确的。这些中心基因主要在动脉粥样硬化过程、细胞因子-细胞因子受体相互作用和细胞粘附分子途径中增强。通过mirna -hub基因网络构建,鉴定出7个与hub基因相关的mirna。结果提示,小鼠对辛伐他汀、姜黄素、parthenolide、celastrol、BMS-345541等药物的敏感性与10个hub基因的表达有关。结论:总之,本研究揭示了一些可能参与IAs进展发病机制的关键基因和途径。这些发现为IAs的研究和治疗提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Key Genes and miRNA-mRNA Regulatory Networks Associated with Intracranial Aneurysm Progression by Integrative Bioinformatics Analysis.

Background: Intracranial aneurysms (IAs) are the leading cause of nontraumatic subarachnoid hemorrhage (SAH), accounting for up to 85% of all cases of intracranial hemorrhage. The aim of this study was to identify core genes and pathways revealing IAs progression.

Materials and methods: We screened differentially expressed genes (DEGs) using mRNA expression profile data from Gene Expression Omnibus (GEO). Then functional and pathway enrichment analyses of DEGs were performed utilizing the database for annotation, visualization, and integrated discovery (DAVID) and the GEO Data Analysis Module within the ACBI Bioinformation tool. Target genes with differential expression of miRNAs were predicted using the miRWalk (Version 3.0) database, and the intersection between these predictions and DEGs was selected as differentially expressed miRNAtarget genes. In addition, a protein-protein interaction (PPI) network and an miRNAmRNA regulatory network were constructed. Finally, L1000CDS2 database analyses were performed to identify the potential therapeutic targets for IAs.

Results: In total, 742 DEGs and 171 DEGs were identified from the GSE13353 and GSE15629 datasets, respectively. The PPI of DEGs consisted of 868 nodes and 618 edges, including 392 upregulated genes and 521 downregulated genes, respectively, while 10 hub genes were identified. Among the top 10 hub genes, justification of CXCR4, IL6, CCR5, CCL5, CXCR2, CXCL1, CCL2, CCL20, CD4, and CXCL10. These hub genes were primarily augmented in the atherosclerosis process, cytokine-cytokine receptor interaction and cell adhesion molecules pathways. Through the miRNAs-hub gene network construction, 7 miRNAs associated with the hub genes were identified. The results suggest that the sensitivity toward simvastatin, curcumin, parthenolide, celastrol, BMS-345541, etc., correlates with the expression of 10 hub genes.

Conclusion: In summary, this study reveals some crucial genes and pathways potentially involved in the pathogenesis of IAs progression. These findings provide a new insight into the research and treatment of IAs.

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来源期刊
Current medicinal chemistry
Current medicinal chemistry 医学-生化与分子生物学
CiteScore
8.60
自引率
2.40%
发文量
468
审稿时长
3 months
期刊介绍: Aims & Scope Current Medicinal Chemistry covers all the latest and outstanding developments in medicinal chemistry and rational drug design. Each issue contains a series of timely in-depth reviews and guest edited thematic issues written by leaders in the field covering a range of the current topics in medicinal chemistry. The journal also publishes reviews on recent patents. Current Medicinal Chemistry is an essential journal for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important developments.
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