Department of Critical Care Medicine, Division of Life Science and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui Province, China.
Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
BMC Genomics. 2023 Aug 24;24(1):484. doi: 10.1186/s12864-023-09535-7.
Sepsis is a high mortality disease which seriously threatens human life and health, for which the pathogenetic mechanism still unclear. There is increasing evidence showed that immune and inflammation responses are key players in the development of sepsis pathology. LncRNAs, which act as ceRNAs, have critical roles in various diseases. However, the regulatory roles of ceRNA in the immunopathogenesis of sepsis have not yet been elucidated.
In this study, we aimed to identify immune biomarkers associated with sepsis. We first generated a global immune-associated ceRNA (IMCE) network based on data describing interactions pairs of gene-miRNA and miRNA-lncRNA. Afterward, we excavated a dysregulated sepsis immune-associated ceRNA (SPIMC) network from the global IMCE network by means of a multi-step computational approach. Functional enrichment indicated that lncRNAs in SPIMC network have pivotal roles in the immune mechanism underlying sepsis. Subsequently, we identified module and hub genes (CD4 and STAT4) via construction of a sepsis immune-related PPI network. Then, we identified hub genes based on the modular structure of PPI network and generated a ceRNA subnetwork to analyze key lncRNAs associated with sepsis. Finally, 6 lncRNAs (LINC00265, LINC00893, NDUFA6-AS1, NOP14-AS1, PRKCQ-AS1 and ZNF674-AS1) that identified as immune biomarkers of sepsis. Moreover, the CIBERSORT algorithm and the infiltration of circulating immune cells types were performed to identify the inflammatory state of sepsis. Correlation analyses between immune cells and sepsis immune biomarkers showed that the LINC00265 was strongly positive correlated with the macrophages M2 (r = 0.77).
Collectively, these results may suggest that these lncRNAs (LINC00265, LINC00893, NDUFA6-AS1, NOP14-AS1, PRKCQ-AS1 and ZNF674-AS1) played important roles in the immune pathogenesis of sepsis and provide potential therapeutic targets for further researches on immune therapy treatment in patients with sepsis.
脓毒症是一种高死亡率的疾病,严重威胁着人类的生命和健康,其发病机制尚不清楚。越来越多的证据表明,免疫和炎症反应是脓毒症发病机制的关键因素。lncRNAs 作为 ceRNA,在各种疾病中发挥着关键作用。然而,ceRNA 在脓毒症免疫发病机制中的调节作用尚未阐明。
本研究旨在鉴定与脓毒症相关的免疫生物标志物。我们首先基于描述基因-miRNA 和 miRNA-lncRNA 相互作用对的数据集生成了一个全局免疫相关 ceRNA(IMCE)网络。之后,我们通过多步计算方法从全局 IMCE 网络中挖掘出一个失调的脓毒症免疫相关 ceRNA(SPIMC)网络。功能富集表明,SPIMC 网络中的 lncRNAs 在脓毒症的免疫机制中起着关键作用。随后,我们通过构建脓毒症免疫相关 PPI 网络来鉴定模块和枢纽基因(CD4 和 STAT4)。然后,我们根据 PPI 网络的模块结构鉴定枢纽基因,并生成 ceRNA 子网络以分析与脓毒症相关的关键 lncRNAs。最后,鉴定出 6 个 lncRNAs(LINC00265、LINC00893、NDUFA6-AS1、NOP14-AS1、PRKCQ-AS1 和 ZNF674-AS1)作为脓毒症的免疫生物标志物。此外,通过 CIBERSORT 算法和循环免疫细胞类型的浸润来识别脓毒症的炎症状态。免疫细胞与脓毒症免疫生物标志物之间的相关性分析表明,LINC00265 与巨噬细胞 M2 呈强烈正相关(r=0.77)。
总之,这些结果可能表明这些 lncRNAs(LINC00265、LINC00893、NDUFA6-AS1、NOP14-AS1、PRKCQ-AS1 和 ZNF674-AS1)在脓毒症的免疫发病机制中发挥重要作用,并为进一步研究脓毒症患者的免疫治疗提供潜在的治疗靶点。