基于生信分析对脓毒症相关性脑病中神经炎症相关核心基因的筛选
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南通大学第二附属医院

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江苏省自然科学基金(BK20211108);江苏省医学重点学科/实验室建设单位(JSDW202249);南通市自然科学基金(JC2023114);南京医科大学康达学院科研创新团队项目(KD2022KYCXTD005)


Screening of Core Genes in Neuroinflammation of Sepsis Associated Encephalopathy Based on Bioinformatics Analysis
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Affiliated Hospital 2 of Nantong University

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Natural Science Foundation of Jiangsu Province (BK20211108);Jiangsu Provincial Medical Key Discipline (Laboratory) Cultivation Unit (JSDW202249);Natural Science Foundation of Nantong City(JC2023114);Scientific Research Innovation Team of Kangda College of Nanjing Medical University (KD2022KYCXTD005)

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    摘要:

    [摘要] 目的:通过生信分析筛选脓毒症相关性脑病(sepsis associated encephalopathy,SAE)中小胶质细胞介导神经炎症的核心基因,并通过体外细胞学实验验证。 方法:从基因表达综合数据库(gene expression omnibus,GEO)中获取脓毒症患者外周血全转录组测序数据集GSE65682以及体外脂多糖(lipopolysaccharides,LPS)诱导小胶质细胞活化模型基因芯片数据集GSE103156。采用加权基因共表达网络分析(weighted gene co-expression network analysis,WGCNA)筛选GSE65682数据集中与脓毒症临床诊断显著相关模块,与GSE103156数据集中LPS处理前后小胶质细胞的差异表达基因(differentially expressed genes,DEGs)相交,利用基因本体论(gene ontology,GO)和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)对DEGs进行功能富集分析。采用STRING构建蛋白质-蛋白质相互作用网络、Cytoscape以及Lasso回归分析筛选核心基因。构建LPS诱导BV2小胶质细胞活化体外细胞模型,采用实时荧光定量PCR(Quantitative real-time PCR,qPCR)检测基因表达;采用慢病毒载体法过表达HDAC9,Western blot检测炎症相关分子表达。 结果:WGCNA分析得到GSE65682数据集中与脓毒症临床诊断相关9个模块、共332个基因,通过Limma分析得到GSE103156数据集中LPS刺激前后小胶质细胞的1272个DEGs,二者取交集后得到18个交集基因,进一步采用Lasso回归分析筛选得到4个枢纽基因分别为GPR183、HDAC9、NADK、LRRC25。qPCR结果证实在LPS刺激的小胶质细胞炎性活化模型中, GPR183和HDAC9基因的mRNA表达下调、LRRC25表达上调,而NADK无明显变化;Western blot显示过表达HDAC9可促进LPS诱导小胶质细胞促炎因子IL-1β、iNOS的表达、促进JAK1-STAT3磷酸化。 结论:本研究利用生物信息学筛选得到SAE中小胶质细胞介导神经炎症的4个关键基因,并初步证实HDAC9对于小胶质细胞具有促炎活性,为SAE的机制研究提供了新的思路和数据。

    Abstract:

    [Abstract] Objective: The core genes of neuroinflammation mediated by microglia in sepsis-associated encephalopathy (SAE) were screened by bioinformatics analysis and verified by cellular experiments in vitro. Methods: The genome-wide blood transcriptional profiling dataset GSE65682 of sepsis patients and the microarray whole transcriptome profiling dataset GSE103156 of lipopolysaccharide (LPS) treated BV2 microglia cells were obtained from gene expression omnibus (GEO). Weighted gene co-expression network analysis (WGCNA) was used to screen the modules significantly related to clinical diagnosis of sepsis in GSE65682 dataset, and then was intersected with the differentially expressed genes (DEGs) in microglia before and after LPS processing in GSE103156 dataset. Gene ontology (GO) and Jingdu gene and genome encyclopedia (KEGG) were used to analyze the functional enrichment. The protein-protein interaction network was constructed by STRING, and the core genes were screened by Cytoscape and Lasso regression analysis. The in vitro microglial activation model induced by LPS was established, and real-time fluorescence quantitative PCR (qPCR) was used to analyze gene expression. HDAC9 was overexpressed in microglia using the lentiviral vector method, and Western blot was employed to detect the inflammation related molecule expression. Results: A total of 332 genes belonging to 9 modules of GSE65682 dataset were identifed closely related to the clinical diagnosis of sepsis by WGCNA analysis. 1272 DEGs of microglia before and after LPS stimulation in GSE103156 dataset were obtained by Limma analysis, and 18 overlapping genes were obtained. Four hub genes were screened by Lasso regression analysis, which were GPR183, HDAC9, NADK and LRRC25 respectively. QPCR results confirmed that in the microglial inflammatory activation model stimulated by LPS, the expression of GPR183 and HDAC9 at mRNA level was down-regulated, while the expression of LRRC25 was up-regulated, but there was no significant change in NADK expression. Western blot suggested that HDAC9 overexpression promoted the LPS induced expression of pro-inflammatory factor IL-1β and iNOS, and elevated the JAK1-STAT3 phosphorylation in microglia. Conclusion: In this study, four key genes of neuroinflammation mediated by SAE microglia were screened by bioinformatics, and it was preliminarily confirmed that HDAC9 has pro-inflammatory activity in microglia, which may provide new ideas and data for further mechanism study of SAE.

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  • 收稿日期:2023-12-02
  • 最后修改日期:2024-04-06
  • 录用日期:2024-07-01
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