Hu Wen, Zhang Xiaoyuan, Wu Zhen, Luo Yushan, Hu Bailong, Zou Xiaohua
Guizhou Medical University, Guiyang, Guizhou, 550004, People's Republic of China.
Department of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550004, People's Republic of China.
J Inflamm Res. 2024 Nov 14;17:8753-8773. doi: 10.2147/JIR.S488400. eCollection 2024.
Sepsis can induce sepsis-associated encephalopathy (SAE), with Ulinastatin (UTI) serving a critical anti-inflammatory role. This study aimed to identify the hub genes in an SAE mouse model following UTI intervention and investigate the underlying molecular mechanisms.
Through differential expression analysis to obtain differentially expressed genes (DEGs), ie, UTI vs CLP (DEGs1) and Con vs CLP (DEGs2). After taking the intersection of the genes with opposite differential trends in these two parts and immune-related genes (IRGs), DE-IRGs were obtained. Hub genes in the protein-protein interaction (PPI) network were then determined using six algorithms from the Cytohubba plugin in Cytoscape. Gene set enrichment analysis (GSEA) was employed to explore the functional relevance of these hub genes. Additionally, the immune microenvironment across the three groups was compared, and hub gene-related drugs were predicted using an online database. Finally, qRT-PCR was used to validate the expression of the hub genes in hippocampal tissue from CLP mice.
RNA sequencing obtained 864 differentially expressed genes (DEGs) (CLP vs Con) and 279 DEGs (UTI vs CLP). Taking the intersection of DEGs with opposite expression trends yielded 165 DEGs. Six key genes (ICAM - 1, IRF7, IL - 1β, CCL2, IL - 6 and SOCS3) were screened by six algorithms. Immune infiltration analysis found that Treg cells were reversed after treatment with UTI in the diseased state. A total of 106 hub - gene - related drugs were predicted, among which BINDARIT - CCL2 and LIFITEGRAST - ICAM1 showed particularly high affinities. The qRT - PCR verification results were consistent with the sequencing results.
In conclusion, , and were identified as potential therapeutic targets in SAE mice treated with UTI. This study offers theoretical support for UTI as a treatment option for SAE.
脓毒症可诱发脓毒症相关性脑病(SAE),乌司他丁(UTI)具有关键的抗炎作用。本研究旨在确定UTI干预后SAE小鼠模型中的枢纽基因,并探究其潜在分子机制。
通过差异表达分析获得差异表达基因(DEGs),即UTI组与CLP组(DEGs1)以及Con组与CLP组(DEGs2)。在这两部分中取具有相反差异趋势的基因与免疫相关基因(IRGs)的交集,得到差异表达免疫相关基因(DE-IRGs)。然后使用Cytoscape中Cytohubba插件的六种算法确定蛋白质-蛋白质相互作用(PPI)网络中的枢纽基因。采用基因集富集分析(GSEA)来探究这些枢纽基因的功能相关性。此外,比较了三组的免疫微环境,并使用在线数据库预测枢纽基因相关药物。最后,采用qRT-PCR验证CLP小鼠海马组织中枢纽基因的表达。
RNA测序获得864个差异表达基因(CLP组与Con组)和279个差异表达基因(UTI组与CLP组)。取具有相反表达趋势的差异表达基因的交集得到165个差异表达基因。通过六种算法筛选出六个关键基因(ICAM - 1、IRF7、IL - 1β、CCL2、IL - 6和SOCS3)。免疫浸润分析发现,在患病状态下用UTI治疗后调节性T细胞发生了逆转。共预测出106种枢纽基因相关药物,其中BINDARIT - CCL2和LIFITEGRAST - ICAM1显示出特别高的亲和力。qRT - PCR验证结果与测序结果一致。
总之,ICAM - 1、IRF7、IL - 1β、CCL2、IL - 6和SOCS3被确定为UTI治疗SAE小鼠的潜在治疗靶点。本研究为UTI作为SAE的治疗选择提供了理论支持。