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综合分析揭示 NLRC4 是脓毒症发病机制中的一个潜在生物标志物。

Integrated analysis reveals NLRC4 as a potential biomarker in sepsis pathogenesis.

机构信息

School of Basic Medical Sciences & Forensic Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, 310013, China.

Taizhou Hospital of Zhejiang, Wenzhou Medical University, Linhai, 318000, China.

出版信息

Genes Immun. 2024 Oct;25(5):397-408. doi: 10.1038/s41435-024-00293-4. Epub 2024 Aug 24.

Abstract

Sepsis remains a significant global health burden and contributor to mortality, yet the precise molecular mechanisms underlying the immune response are not fully elucidated. To gain insight into this issue, we performed a comprehensive analysis using a variety of techniques including bulk RNA sequencing, single-cell RNA sequencing, and enzyme-linked immunosorbent assay (ELISA). We performed enrichment analysis of differentially expressed genes in sepsis and healthy individuals by utilizing Gene Ontology (GO) analysis and indicated significant enrichment of immune-related response. Following Weighted Gene Co-Expression Network Analysis (WGCNA) and protein-protein interaction analysis (PPI) were used to identify key immune-related hub genes and validated by ELISA to show that NLRC4 is highly expressed in sepsis. Additionally, an analysis of scRNA-seq data from newly diagnosed sepsis, sepsis diagnosis at 6 hours, and healthy samples demonstrates a significant increase in both the expression levels and proportions of NLRC4 in sepsis monocytes and neutrophils. In addition, using pySCENIC we identified upstream transcription factors that regulate NLRC4. Our study provides valuable insights into the identification of NLRC4 in peripheral blood as a potential candidate gene for the diagnosis and treatment of sepsis.

摘要

脓毒症仍然是一个重大的全球健康负担和死亡原因,但免疫反应的精确分子机制尚未完全阐明。为了深入了解这个问题,我们使用了多种技术进行了全面分析,包括批量 RNA 测序、单细胞 RNA 测序和酶联免疫吸附测定(ELISA)。我们通过基因本体论(GO)分析对脓毒症和健康个体中差异表达的基因进行了富集分析,并表明免疫相关反应有显著富集。随后,我们进行了加权基因共表达网络分析(WGCNA)和蛋白质-蛋白质相互作用分析(PPI),以鉴定关键的免疫相关枢纽基因,并通过 ELISA 进行验证,结果表明 NLRC4 在脓毒症中高表达。此外,对新诊断的脓毒症、脓毒症 6 小时诊断和健康样本的 scRNA-seq 数据进行分析表明,脓毒症单核细胞和中性粒细胞中 NLRC4 的表达水平和比例均显著增加。此外,使用 pySCENIC 我们鉴定了调节 NLRC4 的上游转录因子。我们的研究为鉴定外周血中的 NLRC4 作为脓毒症诊断和治疗的潜在候选基因提供了有价值的见解。

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