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

IF 2.5 4区 医学 Q3 IMMUNOLOGY Immunobiology Pub Date : 2024-06-10 DOI:10.1016/j.imbio.2024.152826
Zhi-hua Li, Yi Wang, Xiang-you Yu
{"title":"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","authors":"Zhi-hua Li,&nbsp;Yi Wang,&nbsp;Xiang-you Yu","doi":"10.1016/j.imbio.2024.152826","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>","PeriodicalId":13270,"journal":{"name":"Immunobiology","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0171298524000445/pdfft?md5=6e8101f3053c6d00afaa0af283ad3480&pid=1-s2.0-S0171298524000445-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Exploring the role of pyroptosis and immune infiltration in sepsis based on bioinformatic analysis\",\"authors\":\"Zhi-hua Li,&nbsp;Yi Wang,&nbsp;Xiang-you Yu\",\"doi\":\"10.1016/j.imbio.2024.152826\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>\",\"PeriodicalId\":13270,\"journal\":{\"name\":\"Immunobiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0171298524000445/pdfft?md5=6e8101f3053c6d00afaa0af283ad3480&pid=1-s2.0-S0171298524000445-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Immunobiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0171298524000445\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Immunobiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0171298524000445","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Exploring the role of pyroptosis and immune infiltration in sepsis based on bioinformatic analysis

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Immunobiology
Immunobiology 医学-免疫学
CiteScore
5.00
自引率
3.60%
发文量
108
审稿时长
55 days
期刊介绍: Immunobiology is a peer-reviewed journal that publishes highly innovative research approaches for a wide range of immunological subjects, including • Innate Immunity, • Adaptive Immunity, • Complement Biology, • Macrophage and Dendritic Cell Biology, • Parasite Immunology, • Tumour Immunology, • Clinical Immunology, • Immunogenetics, • Immunotherapy and • Immunopathology of infectious, allergic and autoimmune disease.
期刊最新文献
Pan-cancer analysis of ADAR1 with its prognostic relevance in low-grade glioma Comparison of urine and serum IgG detection ELISA for tegumentary leishmaniasis diagnosis and prognosis The role of CD24hiCD27+ regulatory B cells in human chronic rhinosinusitis with/without nasal polyps Editorial Board Retraction notice to “Increased levels of Th17 cells are associated with non-neuronal acetylcholine in COPD patients” [Immunobiology 219(5) (2014) 392–401]
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1