Abstract：
BACKGROUND: We aim to deal with the Hub-genes and signalling pathways connected with Sepsis-associated encephalopathy (SAE).
METHODS: The raw datasets were acquired from the Gene Expression Omnibus (GEO) database (GSE198861 and GSE167610). R software filtered the differentially expressed genes (DEGs) for hub genes exploited for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Hub genes were identified from the intersection of DEGs via protein-protein interaction (PPI) network. And the single-cell dataset (GSE101901) was used to authenticate where the hub genes express in hippocampus cells. Cell-cell interaction analysis and Gene Set Variation Analysis (GSVA) analysis of the whole transcriptome validated the interactions between hippocampal cells.
RESULTS: A total of 161 DEGs were revealed in GSE198861 and GSE167610 datasets. Biological function analysis showed that the DEGs were primarily involved in the phagosome pathway and significantly enriched. The PPI network extracted 10 Hub genes. The M2 Macrophage cell decreased significantly during the acute period, and the hub gene may play a role in this biological process. The hippocampal variation pathway was associated with the MAPK signaling pathway.
CONCLUSIONS: Hub genes (Pecam1, Cdh5, Fcgr, C1qa, Vwf, Vegfa, C1qb, C1qc, Fcgr4 and Fcgr2b) may paticipate in the biological process of SAE.
METHODS: The raw datasets were acquired from the Gene Expression Omnibus (GEO) database (GSE198861 and GSE167610). R software filtered the differentially expressed genes (DEGs) for hub genes exploited for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Hub genes were identified from the intersection of DEGs via protein-protein interaction (PPI) network. And the single-cell dataset (GSE101901) was used to authenticate where the hub genes express in hippocampus cells. Cell-cell interaction analysis and Gene Set Variation Analysis (GSVA) analysis of the whole transcriptome validated the interactions between hippocampal cells.
RESULTS: A total of 161 DEGs were revealed in GSE198861 and GSE167610 datasets. Biological function analysis showed that the DEGs were primarily involved in the phagosome pathway and significantly enriched. The PPI network extracted 10 Hub genes. The M2 Macrophage cell decreased significantly during the acute period, and the hub gene may play a role in this biological process. The hippocampal variation pathway was associated with the MAPK signaling pathway.
CONCLUSIONS: Hub genes (Pecam1, Cdh5, Fcgr, C1qa, Vwf, Vegfa, C1qb, C1qc, Fcgr4 and Fcgr2b) may paticipate in the biological process of SAE.
摘要：
背景：我们的目标是处理与脓毒症相关性脑病（SAE）相关的Hub基因和信号通路。
方法:原始数据集从基因表达综合(GEO)数据库(GSE198861和GSE167610)获得。R软件过滤了用于基因和基因组的京都百科全书(KEGG)途径富集分析的集线器基因的差异表达基因(DEGG)。通过蛋白质-蛋白质相互作用（PPI）网络从DEGs的交集中鉴定出Hub基因。并且使用单细胞数据集(GSE101901)来验证hub基因在海马细胞中的表达位置。整个转录组的细胞-细胞相互作用分析和基因集变异分析（GSVA）分析验证了海马细胞之间的相互作用。
结果：GSE198861和GSE167610数据集共显示161个DEG。生物学功能分析表明，DEGs主要参与吞噬途径，并显著富集。PPI网络提取了10个Hub基因。M2巨噬细胞在急性期显著减少,hub基因可能在这个生物过程中发挥作用。海马变异通路与MAPK信号通路相关。
结论：Hub基因(Pecam1，Cdh5，Fcgr，C1qa,Vwf,Vegfa,C1qb,C1qc,Fcgr4和Fcgr2b）可能参与SAE的生物学过程。
方法:原始数据集从基因表达综合(GEO)数据库(GSE198861和GSE167610)获得。R软件过滤了用于基因和基因组的京都百科全书(KEGG)途径富集分析的集线器基因的差异表达基因(DEGG)。通过蛋白质-蛋白质相互作用（PPI）网络从DEGs的交集中鉴定出Hub基因。并且使用单细胞数据集(GSE101901)来验证hub基因在海马细胞中的表达位置。整个转录组的细胞-细胞相互作用分析和基因集变异分析（GSVA）分析验证了海马细胞之间的相互作用。
结果：GSE198861和GSE167610数据集共显示161个DEG。生物学功能分析表明，DEGs主要参与吞噬途径，并显著富集。PPI网络提取了10个Hub基因。M2巨噬细胞在急性期显著减少,hub基因可能在这个生物过程中发挥作用。海马变异通路与MAPK信号通路相关。
结论：Hub基因(Pecam1，Cdh5，Fcgr，C1qa,Vwf,Vegfa,C1qb,C1qc,Fcgr4和Fcgr2b）可能参与SAE的生物学过程。
