缺血性脑卒中热休克相关基因的生物信息学鉴定与验证。

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Xinying Shang, Rui Wei, Di Yang, Bawei Yu, Wei Zhang
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引用次数: 0

摘要

背景:缺血性脑卒中是世界范围内致死率和致残率极高的常见病和多发病之一,目前尚无有效的治疗方法。本研究旨在筛选参与脑缺血再灌注损伤(CIRI)和焦亡的中枢基因,探索有希望的干预靶点。方法:从Gene Expression Omnibus (GEO)和GeneCards数据库中获取小鼠ciri相关基因(GSE202659和GSE131193)和热腐相关基因(PRGs)。我们筛选LASSO回归构建GSE131193和PRGs的预后模型,并通过GSE137482进行检验。对GSE202659的热解相关差异表达基因(PRDEGs)进行了基因本体(GO)、京都基因与基因组百科全书(KEGG)、基因集富集分析(GSEA)和基因集变异分析(GSVA)的功能富集分析。通过重量基因共表达网络分析(Weight Gene Co-expression Network Analysis, WGCNA)鉴定CIRI和焦亡的关键模块。随后,构建蛋白-蛋白相互作用(Protein-protein Interaction, PPI)网络和细胞壁筛选中心基因。利用starBase预测miRNA与枢纽基因的相互作用,构建mRNA-miRNA-lncRNA相互作用网络。中心基因构建了ciri相关分子亚型。通过CIBERSORT验证了免疫细胞与枢纽基因之间的关系。最后,我们选择C57BL/6小鼠构建模型,通过酶联免疫吸附试验(ELISA)、逆转录聚合酶链反应(RT-PCR)、western blot和免疫荧光等方法确认中枢基因。结果:共筛选到272个PRGs和35个prdeg。建立了8基因风险预测模型(AUC = 0.868)。GO、KEGG、GSEA和GSVA分析显示,PRDEGs主要参与细胞因子产生和nod样受体信号通路的正调控。然后,通过PPI鉴定出7个枢纽基因(Irf1、Icam1、Tlr2、Tnf、Cebpb、Il1rn和Casp8)。通过分层聚类分析,Icam1、Tnf、Cebpb、Il1rn和Casp8在Cluster2中具有高表达谱。免疫浸润分析结果显示,中枢基因中Cebpb、Il1rn、Casp8与NK程度呈显著正相关。Icam1与B.Cells.Memory呈显著负相关。动物实验结果显示Irf1、Icam1、Tlr2、Cebpb和Il1rn显著上调。结论:我们的发现提示Irf1、Icam1、Tlr2、Cebpb、Il1rn是与焦亡相关的枢纽基因,这些基因均与不同的免疫细胞相关,从而从焦亡的角度为IS的防治提供了新的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics identification and validation of pyroptosis-related gene for ischemic stroke.

Background: Ischemic stroke (IS) is one of the common and frequent diseases with extremely high lethality and disability in the world, and there is no effective treatment at present. This study aimed to screen hub genes involved in cerebral ischemia/reperfusion injury (CIRI) and pyroptosis, and explore promising intervention targets.

Methods: CIRI-related genes (GSE202659 and GSE131193) and pyroptosis-related genes (PRGs) in mice were obtained from the Gene Expression Omnibus (GEO) and GeneCards database. We screened for LASSO regression to construct a prognostic model of GSE131193 and PRGs and examined by GSE137482. The functional enrichment analysis of Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were performed on pyroptosis-related differentially expressed genes (PRDEGs) of GSE202659.The key modules for CIRI and pyroptosis were identified by Weight Gene Co-expression Network Analysis (WGCNA). Subsequently, Protein-protein Interaction (PPI) network and the Cytoscape was constructed to screen out hub genes. Used the starBase to predict miRNA interacting with hub genes and constructed mRNA-miRNA-lncRNA interaction networks. CIRI-related Molecular Subtypes were constructed for hub genes. The relationship between immune cells and hub genes was verified via CIBERSORT. Finally, we selected C57BL/6 mice to construct models to confirm hub genes by enzyme linked immunosorbent assay (ELISA), reverse transcription-polymerase chain reaction (RT-PCR), western blot, and Immunofluorescence.

Results: A total of 272 PRGs and 35 PRDEGs were screened. An eight-gene risk prediction models were established (AUC = 0.868). GO, KEGG, GSEA and GSVA analyses revealed that PRDEGs were mainly involved in positive regulation of cytokine production, and NOD-like receptor signaling pathway. And then, seven hub genes (Irf1, Icam1, Tlr2, Tnf, Cebpb, Il1rn, and Casp8) were identified by PPI. Icam1, Tnf, Cebpb, Il1rn, and Casp8 had high expression profiles in Cluster2 by hierarchical clustering. The immune infiltration analysis results showed that among the hub genes, Cebpb, Il1rn, and Casp8, showed a significant positive correlation with the degree of NK.Actived, and Icam1 showed a significant negative correlation with B.Cells.Memory. The results of animal experiments significantly demonstrated an upregulation of Irf1, Icam1, Tlr2, Cebpb, and Il1rn.

Conclusion: Our finding indicated that Irf1, Icam1, Tlr2, Cebpb, and Il1rn are hub genes associated with pyroptosis, and these genes are all associated with different immune cells, so as to provide new targets for the prevention and treatment of IS from the perspective of pyroptosis.

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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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