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Updated: May 5, 2026
A Reproducible Intensive Care Unit-Oriented Endotoxin Model in Rats
Published on: February 20, 2021
Exploring the molecular mechanism of sepsis-associated encephalopathy by integrated analysis of multiple datasets
Qiulei Zhang1, Chang Lu2, Weixuan Fan1
1Department of Emergency and Critical Care Medicine, The Second Hospital of Jilin University, NO.218 Ziqiang Street, Changchun 130041, China.
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.
Conclusion:
Hub genes (Pecam1, Cdh5, Fcgr, C1qa, Vwf, Vegfa, C1qb, C1qc, Fcgr4 and Fcgr2b) may paticipate in the biological process of SAE.
