• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

脓毒症早期重症监护室的免疫抑制现象:一项大规模微阵列荟萃分析。

The immunosuppressive face of sepsis early on intensive care unit-A large-scale microarray meta-analysis.

机构信息

Department of Anesthesiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, Heidelberg, Germany.

出版信息

PLoS One. 2018 Jun 19;13(6):e0198555. doi: 10.1371/journal.pone.0198555. eCollection 2018.

DOI:10.1371/journal.pone.0198555
PMID:29920518
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6007920/
Abstract

BACKGROUND

Sepsis is defined as a life-threatening condition, resulting from a dysregulated and harmful response of the hosts' immune system to infection. Apart from this, the (over-)compensating mechanisms counterbalancing the inflammatory response have been proven to render the host susceptible to further infections and increase delayed mortality. Our study aimed to unravel the heterogeneity of immune response in early sepsis and to explain the biology behind it.

METHODS

A systematic search of public repositories yielded 949 microarray samples from patients with sepsis of different infectious origin and early after clinical manifestation. These were merged into a meta-expression set, and after applying sequential conservative bioinformatics filtering, an in-deep analysis of transcriptional heterogeneity, as well as a comparison to samples of healthy controls was performed.

RESULTS

We can identify two distinct clusters of patients (cluster 1: 655 subjects, cluster 2: 294 subjects) according to their global blood transcriptome. While both clusters exhibit only moderate differences in direct comparison, a comparison of both clusters individually to healthy controls yielded strong expression changes of genes involved in immune responses. Both comparisons found similar regulated genes, with a stronger dysregulation occurring in the larger patient cluster and implicating a loss of monocyte and T cell function, co-occurring with an activation of neutrophil granulocytes.

CONCLUSION

We propose a consistent-but in its extent varying-presence of immunosuppression, occurring as early in sepsis as its clinical manifestation and irrespective of the infectious origin. While certain cell types possess contradictory activation states, our finding underlines the urgent need for an early host-directed therapy of sepsis side-by-side with antibiotics.

摘要

背景

败血症是一种危及生命的疾病,是由宿主免疫系统对感染的失调和有害反应引起的。除此之外,已证明代偿性机制会抵消炎症反应,使宿主易受进一步感染,并增加延迟性死亡率。我们的研究旨在阐明早期败血症免疫反应的异质性,并解释其背后的生物学机制。

方法

系统地搜索公共数据库,从不同感染源和临床症状出现后早期的败血症患者中获得了 949 个微阵列样本。这些样本被合并成一个元表达集,然后应用顺序保守的生物信息学过滤方法,对转录组异质性进行深入分析,并与健康对照样本进行比较。

结果

根据他们的全血转录组,我们可以将患者分为两个不同的聚类(聚类 1:655 例,聚类 2:294 例)。虽然这两个聚类在直接比较中只有中度差异,但将这两个聚类分别与健康对照组进行比较,发现与免疫反应相关的基因表达发生了强烈变化。两种比较都发现了相似的调节基因,较大的患者聚类中发生了更强的失调,暗示单核细胞和 T 细胞功能丧失,同时中性粒细胞被激活。

结论

我们提出了一种一致但程度不同的免疫抑制存在的假说,这种抑制存在于败血症的临床表现之前,并与感染源无关。虽然某些细胞类型存在矛盾的激活状态,但我们的发现强调了在抗生素治疗败血症的同时,急需进行早期宿主导向治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/15b3b11d78a4/pone.0198555.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/a77762a887c6/pone.0198555.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/8e758ecf8b69/pone.0198555.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/029ac131a0ba/pone.0198555.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/f3dc552129e1/pone.0198555.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/0ca52fb2d453/pone.0198555.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/601190f13667/pone.0198555.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/15b3b11d78a4/pone.0198555.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/a77762a887c6/pone.0198555.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/8e758ecf8b69/pone.0198555.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/029ac131a0ba/pone.0198555.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/f3dc552129e1/pone.0198555.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/0ca52fb2d453/pone.0198555.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/601190f13667/pone.0198555.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64c/6007920/15b3b11d78a4/pone.0198555.g007.jpg

相似文献

1
The immunosuppressive face of sepsis early on intensive care unit-A large-scale microarray meta-analysis.脓毒症早期重症监护室的免疫抑制现象:一项大规模微阵列荟萃分析。
PLoS One. 2018 Jun 19;13(6):e0198555. doi: 10.1371/journal.pone.0198555. eCollection 2018.
2
Transcriptomic data from two primary cell models stimulating human monocytes suggest inhibition of oxidative phosphorylation and mitochondrial function by N. meningitidis which is partially up-regulated by IL-10.来自两种原代细胞模型刺激人单核细胞的转录组数据表明,脑膜炎奈瑟菌抑制氧化磷酸化和线粒体功能,这部分受 IL-10 上调。
BMC Immunol. 2017 Oct 27;18(1):46. doi: 10.1186/s12865-017-0229-5.
3
Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis.转录组元分析揭示脓毒症中免疫反应相关基因特征的失调。
Genes (Basel). 2019 Dec 4;10(12):1005. doi: 10.3390/genes10121005.
4
A transcriptomic reporter assay employing neutrophils to measure immunogenic activity of septic patients' plasma.采用中性粒细胞的转录组报告基因检测法来测量脓毒症患者血浆的免疫原性活性。
J Transl Med. 2014 Mar 11;12:65. doi: 10.1186/1479-5876-12-65.
5
: A Potential New Reference Gene in Human Natural Killer Cells and Granulocytes in Sepsis.在脓毒症中人类自然杀伤细胞和粒细胞的一个潜在新的参考基因。
Int J Mol Sci. 2019 May 9;20(9):2290. doi: 10.3390/ijms20092290.
6
A high frequency of MDSCs in sepsis patients, with the granulocytic subtype dominating in gram-positive cases.脓毒症患者中髓系来源的抑制细胞(MDSCs)频率较高,在革兰氏阳性菌感染病例中以粒细胞亚型为主。
J Leukoc Biol. 2014 Nov;96(5):685-93. doi: 10.1189/jlb.5HI0214-074R. Epub 2014 Jun 13.
7
Long-term gene expression profile dynamics following cecal ligation and puncture in the rat.盲肠结扎穿刺法诱导大鼠模型中长期基因表达谱动态变化
J Surg Res. 2012 Nov;178(1):431-42. doi: 10.1016/j.jss.2012.03.052. Epub 2012 Apr 16.
8
Human monocytes undergo functional re-programming during sepsis mediated by hypoxia-inducible factor-1α.在低氧诱导因子-1α介导的脓毒症中,人类单核细胞经历功能重编程。
Immunity. 2015 Mar 17;42(3):484-98. doi: 10.1016/j.immuni.2015.02.001. Epub 2015 Mar 3.
9
TLR2, TLR4, CD14, CD11B, and CD11C expressions on monocytes surface and cytokine production in patients with sepsis, severe sepsis, and septic shock.脓毒症、严重脓毒症和脓毒性休克患者单核细胞表面TLR2、TLR4、CD14、CD11B和CD11C的表达及细胞因子产生情况
Shock. 2006 Apr;25(4):351-7. doi: 10.1097/01.shk.0000217815.57727.29.
10
[Immunological monitoring of sepsis using flow cytometry--quantitation of monocyte HLA-DR expression and granulocyte CD64 expression].[采用流式细胞术对脓毒症进行免疫监测——单核细胞HLA-DR表达及粒细胞CD64表达的定量分析]
Epidemiol Mikrobiol Imunol. 2005 Apr;54(2):54-61.

引用本文的文献

1
Sepsis endotypes identified by host gene expression across global cohorts.通过全球队列中宿主基因表达鉴定的脓毒症内型。
Commun Med (Lond). 2024 Jun 18;4(1):120. doi: 10.1038/s43856-024-00542-7.
2
Gene expression signatures in blood from a West African sepsis cohort define host response phenotypes.西非脓毒症队列血液中的基因表达特征定义宿主反应表型。
Nat Commun. 2024 May 30;15(1):4606. doi: 10.1038/s41467-024-48821-0.
3
The 'analysis of gene expression and biomarkers for point-of-care decision support in Sepsis' study; temporal clinical parameter analysis and validation of early diagnostic biomarker signatures for severe inflammation andsepsis-SIRS discrimination.

本文引用的文献

1
The immunopathology of sepsis and potential therapeutic targets.脓毒症的免疫病理学及潜在治疗靶点
Nat Rev Immunol. 2017 Jul;17(7):407-420. doi: 10.1038/nri.2017.36. Epub 2017 Apr 24.
2
Shared and Distinct Aspects of the Sepsis Transcriptomic Response to Fecal Peritonitis and Pneumonia.脓毒症对粪性腹膜炎和肺炎转录组反应的共同及不同方面
Am J Respir Crit Care Med. 2017 Aug 1;196(3):328-339. doi: 10.1164/rccm.201608-1685OC.
3
Interleukin-1 Receptor 2: A New Biomarker for Sepsis Diagnosis and Gram-Negative/Gram-Positive Bacterial Differentiation.
用于脓毒症即时决策支持的基因表达和生物标志物分析研究;严重炎症和脓毒症-全身炎症反应综合征鉴别诊断的即时临床参数分析和早期诊断生物标志物特征验证。
Front Immunol. 2024 Jan 25;14:1308530. doi: 10.3389/fimmu.2023.1308530. eCollection 2023.
4
IL-1R2-based biomarker models predict melioidosis mortality independent of clinical data.基于白细胞介素-1受体2的生物标志物模型可独立于临床数据预测类鼻疽病死亡率。
Front Med (Lausanne). 2023 Jun 29;10:1211265. doi: 10.3389/fmed.2023.1211265. eCollection 2023.
5
Landscape of co-expressed genes between the myocardium and blood in sepsis and ceRNA network construction: a bioinformatic approach.脓毒症心肌与血液中共同表达基因的图谱和 ceRNA 网络构建:一种生物信息学方法。
Sci Rep. 2023 Apr 17;13(1):6221. doi: 10.1038/s41598-023-33602-4.
6
Fast Track Diagnostic Tools for Clinical Management of Sepsis: Paradigm Shift from Conventional to Advanced Methods.用于脓毒症临床管理的快速诊断工具:从传统方法到先进方法的范式转变
Diagnostics (Basel). 2023 Jan 11;13(2):277. doi: 10.3390/diagnostics13020277.
7
Microvesicle-Mediated Transfer of DNA Methyltransferase Proteins Results in Recipient Cell Immunosuppression.微小囊泡介导的 DNA 甲基转移酶蛋白转移导致受体细胞免疫抑制。
J Surg Res. 2023 Mar;283:368-376. doi: 10.1016/j.jss.2022.10.030. Epub 2022 Nov 22.
8
Exploration of the Shared Gene Signatures between Myocardium and Blood in Sepsis: Evidence from Bioinformatics Analysis.脓毒症心肌与血液共享基因特征的探索:生物信息学分析证据。
Biomed Res Int. 2022 Aug 6;2022:3690893. doi: 10.1155/2022/3690893. eCollection 2022.
9
Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis From Systemic Inflammatory Response Syndrome on Intensive Care Unit Admission.关键签名基因的早期终端粒粒细胞分化区分败血症从全身炎症反应综合征在重症监护病房入院。
Front Immunol. 2022 Jun 30;13:864835. doi: 10.3389/fimmu.2022.864835. eCollection 2022.
10
The landscape of isoform switches in sepsis: a multicenter cohort study.脓毒症中异构体开关的全景:一项多中心队列研究。
Sci Rep. 2022 Jun 17;12(1):10276. doi: 10.1038/s41598-022-14231-9.
白细胞介素-1受体2:脓毒症诊断及革兰氏阴性/革兰氏阳性菌鉴别诊断的新型生物标志物
Shock. 2017 Jan;47(1):119-124. doi: 10.1097/SHK.0000000000000714.
4
Identification of CD177 as the most dysregulated parameter in a microarray study of purified neutrophils from septic shock patients.在一项对脓毒症休克患者纯化中性粒细胞的微阵列研究中,将CD177鉴定为调控异常最明显的参数。
Immunol Lett. 2016 Oct;178:122-30. doi: 10.1016/j.imlet.2016.08.011. Epub 2016 Aug 26.
5
ImmQuant: a user-friendly tool for inferring immune cell-type composition from gene-expression data.ImmQuant:一种从基因表达数据推断免疫细胞类型组成的用户友好型工具。
Bioinformatics. 2016 Dec 15;32(24):3842-3843. doi: 10.1093/bioinformatics/btw535. Epub 2016 Aug 16.
6
Robust classification of bacterial and viral infections via integrated host gene expression diagnostics.通过整合宿主基因表达诊断实现细菌和病毒感染的稳健分类。
Sci Transl Med. 2016 Jul 6;8(346):346ra91. doi: 10.1126/scitranslmed.aaf7165.
7
Identification of CD163 as an antiinflammatory receptor for HMGB1-haptoglobin complexes.鉴定CD163为HMGB1-触珠蛋白复合物的抗炎受体。
JCI Insight. 2016;1(7). doi: 10.1172/jci.insight.85375. Epub 2016 May 19.
8
Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study.败血症患者个体宿主反应和结局的基因组图谱:一项前瞻性队列研究。
Lancet Respir Med. 2016 Apr;4(4):259-71. doi: 10.1016/S2213-2600(16)00046-1. Epub 2016 Feb 23.
9
The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).《脓毒症及脓毒性休克第三次国际共识定义(脓毒症-3)》
JAMA. 2016 Feb 23;315(8):801-10. doi: 10.1001/jama.2016.0287.
10
Evolution of the immune system in humans from infancy to old age.人类免疫系统从婴儿期到老年期的演变。
Proc Biol Sci. 2015 Dec 22;282(1821):20143085. doi: 10.1098/rspb.2014.3085.