Exploring the role of pyroptosis and immune infiltration in sepsis based on bioinformatic analysis

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Zhi-hua Li, Yi Wang, Xiang-you Yu
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Abstract

Purpose

Sepsis is a disease that is typically treated in intensive care units with high mortality and morbidity. Pyroptosis is a newly identified type of programmed cell death and is characterized by inflammatory cytokine secretion. However, the role of pyroptosis in sepsis remains unclear.

Methods

GSE28750 and GSE134347 datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed pyroptosis genes (DEPGs) were identified between sepsis and healthy controls. Machine learning was used to further narrow the gene range. Receiver operating curves (ROC) were generated to estimate the diagnostic efficacy. Immune infiltration levels were estimated via single-sample gene set enrichment analysis (ssGSEA). A network database was used to predict the upstream transcription factors and miRNAs of DEPGs. Finally, the expression of the genes was validated by qRT-PCR between sepsis patients and healthy controls.

Results

We found that the pyroptosis pathway was enriched and activated in sepsis. 8 DEPGs were identified. A heatmap showed that the genes, NLRC4, NAIP, IL-18, AIM2 and ELANE, were abundant in the sepsis samples, and the genes, NLRP1, CHMP7 and TP53, were abundant in the healthy control samples. The ssGSEA results showed that the abundances of activated dendritic cells, MDSC, macrophage, plasmacytoid dendritic cells, regulatory T-cells, and Th17-cells were significantly higher, while the activated B-cell, activated CD8 T-cell, CD56 dim tural killer cell, immature B-cell, monocyte, and T follicular helper cell abundances were lower in sepsis samples compared to healthy controls. The qRT-PCR results showed that the expression levels of NAIP, IL-18, TP53, CHMP7, NLRC4, ELANE and NLRP1 were consistant with the bioinformatic analyses, while the expression level of AIM2 has no significant difference.

Conclusion

Our study identified seven potential pyroptosis-related genes, NAIP, IL-18, TP53, CHMP7, NLRC4, ELANE and NLRP1. This study revealed that pyroptosis may promote sepsis development by activating the immune response.

基于生物信息学分析探讨脓毒症中热渗透和免疫浸润的作用
目的败血症是一种通常在重症监护室治疗的疾病,死亡率和发病率都很高。脓毒症是一种新发现的程序性细胞死亡,其特点是分泌炎性细胞因子。方法从基因表达总库(Gene Expression Omnibus,GEO)数据库中获得了 GSE28750 和 GSE134347 数据集。方法从基因表达总库(GEO)数据库中获得了 GSE28750 和 GSE134347 数据集,并在脓毒症和健康对照组之间鉴定出了差异表达的热病基因(DEPGs)。利用机器学习进一步缩小了基因范围。生成接收者操作曲线(ROC)以估计诊断效果。通过单样本基因组富集分析(ssGSEA)估算免疫浸润水平。利用网络数据库预测 DEPGs 的上游转录因子和 miRNA。最后,通过 qRT-PCR 验证了败血症患者与健康对照组之间基因的表达情况。确定了 8 个 DEPGs。热图显示,NLRC4、NAIP、IL-18、AIM2 和 ELANE 基因在败血症样本中含量丰富,而 NLRP1、CHMP7 和 TP53 基因在健康对照样本中含量丰富。ssGSEA结果显示,与健康对照组相比,脓毒症样本中活化树突状细胞、MDSC、巨噬细胞、浆细胞状树突状细胞、调节性T细胞和Th17细胞的丰度明显较高,而活化B细胞、活化CD8 T细胞、CD56微小杀伤细胞、未成熟B细胞、单核细胞和T滤泡辅助细胞的丰度较低。qRT-PCR结果显示,NAIP、IL-18、TP53、CHMP7、NLRC4、ELANE和NLRP1的表达水平与生物信息学分析结果一致,而AIM2的表达水平无显著差异。这项研究揭示了热蛋白沉积可能通过激活免疫反应促进败血症的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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