Zhao Shaobo, Zhu Kun, Li Xiaoyi, Zhong Xiaohui, Zhao Yanan, Le Zhenkai, Liu Zhicong, Xiao Yi, Lai Dengming, Jiao Na, Shu Qiang
Department of Pediatric Surgery, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Department of Pathology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Front Genet. 2023 Feb 23;14:1132361. doi: 10.3389/fgene.2023.1132361. eCollection 2023.
Septic shock as a subset of sepsis, has a much higher mortality, while the mechanism is still elusive. This study was aimed at identifying core mechanisms associated with septic shock and its high mortality by investigating transcriptome data. We screened 72 septic-shock-associated genes (SSAGs) with differential expression between septic shock and sepsis in the discovery dataset. Further gene set enrichment analysis identified upregulated neutrophil activation and impaired T-cell activation in septic shock. Co-expression analysis revealed nine co-expressed gene modules. In addition, we determined twenty-one prognostic SSAGs using cox regression analysis in an independent dataset. Moreover, protein-protein interaction (PPI) network revealed two clusters. Among these neutrophil activation was enriched in the most positively-related modules and the cluster2 PPI network, while T-cell activation was enriched in both the most negatively-related module and one of the most positively-related modules as well as the cluster1 PPI network. ELANE, LCN2 and IFI44 were identified as hub genes with CytoHubba methods and semantic similarity analysis. Notably, ELANE was the only prognostic gene and was further validated in an external dataset. Blood neutrophil count was demonstrated to increase in septic shock and be a risky factor of prognosis based on clinical data. In conclusions, septic shock is associated with upregulated neutrophil activation and dysregulated T-cell activation. Three hub genes might have potentials as sensitive markers for the further translational research and ELANE could be a robust prognostic biomarker and effective therapeutic target.
脓毒性休克作为脓毒症的一个子集,死亡率要高得多,但其机制仍不清楚。本研究旨在通过调查转录组数据来确定与脓毒性休克及其高死亡率相关的核心机制。我们在发现数据集中筛选出72个脓毒性休克相关基因(SSAGs),这些基因在脓毒性休克和脓毒症之间存在差异表达。进一步的基因集富集分析发现脓毒性休克中中性粒细胞激活上调和T细胞激活受损。共表达分析揭示了9个共表达基因模块。此外,我们在一个独立数据集中使用cox回归分析确定了21个预后SSAGs。此外,蛋白质-蛋白质相互作用(PPI)网络显示出两个聚类。其中,中性粒细胞激活在最正相关模块和聚类2 PPI网络中富集,而T细胞激活在最负相关模块和最正相关模块之一以及聚类1 PPI网络中均有富集。通过CytoHubba方法和语义相似性分析,将ELANE、LCN2和IFI44鉴定为枢纽基因。值得注意的是,ELANE是唯一的预后基因,并在外部数据集中得到进一步验证。基于临床数据表明,脓毒性休克患者血液中性粒细胞计数增加,是预后的危险因素。总之,脓毒性休克与中性粒细胞激活上调和T细胞激活失调有关。三个枢纽基因可能有潜力作为进一步转化研究的敏感标志物,而ELANE可能是一个可靠的预后生物标志物和有效的治疗靶点。