• 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

COVID-19 致死病例的免疫学生物标志物:868 例患者研究。

Immunological Biomarkers of Fatal COVID-19: A Study of 868 Patients.

机构信息

Hematology Department, Clínica Universidad de Navarra, Pamplona, Spain.

Hemato-Oncology Department, Centro de Investigación Médica Aplicada (CIMA), Pamplona, Spain.

出版信息

Front Immunol. 2021 May 3;12:659018. doi: 10.3389/fimmu.2021.659018. eCollection 2021.

DOI:10.3389/fimmu.2021.659018
PMID:34012444
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8126711/
Abstract

Information on the immunopathobiology of coronavirus disease 2019 (COVID-19) is rapidly increasing; however, there remains a need to identify immune features predictive of fatal outcome. This large-scale study characterized immune responses to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection using multidimensional flow cytometry, with the aim of identifying high-risk immune biomarkers. Holistic and unbiased analyses of 17 immune cell-types were conducted on 1,075 peripheral blood samples obtained from 868 COVID-19 patients and on samples from 24 patients presenting with non-SARS-CoV-2 infections and 36 healthy donors. Immune profiles of COVID-19 patients were significantly different from those of age-matched healthy donors but generally similar to those of patients with non-SARS-CoV-2 infections. Unsupervised clustering analysis revealed three immunotypes during SARS-CoV-2 infection; immunotype 1 (14% of patients) was characterized by significantly lower percentages of all immune cell-types except neutrophils and circulating plasma cells, and was significantly associated with severe disease. Reduced B-cell percentage was most strongly associated with risk of death. On multivariate analysis incorporating age and comorbidities, B-cell and non-classical monocyte percentages were independent prognostic factors for survival in training (n=513) and validation (n=355) cohorts. Therefore, reduced percentages of B-cells and non-classical monocytes are high-risk immune biomarkers for risk-stratification of COVID-19 patients.

摘要

关于 2019 年冠状病毒病(COVID-19)的免疫病理生物学信息正在迅速增加;然而,仍需要确定预测致命结局的免疫特征。这项大规模研究使用多维流式细胞术对严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染的免疫反应进行了特征描述,目的是确定高风险的免疫生物标志物。对 868 例 COVID-19 患者的 1075 份外周血样本和 24 例非 SARS-CoV-2 感染患者及 36 名健康供体的样本进行了 17 种免疫细胞类型的整体和无偏分析。COVID-19 患者的免疫谱与年龄匹配的健康供体明显不同,但通常与非 SARS-CoV-2 感染患者的免疫谱相似。无监督聚类分析显示,SARS-CoV-2 感染期间存在三种免疫表型;免疫表型 1(占患者的 14%)的特点是所有免疫细胞类型的比例明显较低,除中性粒细胞和循环浆细胞外,与严重疾病显著相关。B 细胞百分比降低与死亡风险的相关性最强。在纳入年龄和合并症的多变量分析中,B 细胞和非经典单核细胞百分比是训练(n=513)和验证(n=355)队列中生存的独立预后因素。因此,B 细胞和非经典单核细胞百分比降低是 COVID-19 患者风险分层的高风险免疫生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/580f8ce15047/fimmu-12-659018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/c7e482f0ca59/fimmu-12-659018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/5d4f1e91b7fe/fimmu-12-659018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/c9130226183c/fimmu-12-659018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/5fd27ad978f2/fimmu-12-659018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/580f8ce15047/fimmu-12-659018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/c7e482f0ca59/fimmu-12-659018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/5d4f1e91b7fe/fimmu-12-659018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/c9130226183c/fimmu-12-659018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/5fd27ad978f2/fimmu-12-659018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d6e/8126711/580f8ce15047/fimmu-12-659018-g005.jpg

相似文献

1
Immunological Biomarkers of Fatal COVID-19: A Study of 868 Patients.COVID-19 致死病例的免疫学生物标志物:868 例患者研究。
Front Immunol. 2021 May 3;12:659018. doi: 10.3389/fimmu.2021.659018. eCollection 2021.
2
Comprehensive Immune Profiling Reveals CD56 Monocytes and CD31 Endothelial Cells Are Increased in Severe COVID-19 Disease.全面免疫分析显示,重症 COVID-19 疾病中 CD56 单核细胞和 CD31 内皮细胞增加。
J Immunol. 2022 Feb 1;208(3):685-696. doi: 10.4049/jimmunol.2100830. Epub 2022 Jan 5.
3
Identification of SARS-CoV-2-specific immune alterations in acutely ill patients.鉴定急性病患者体内的 SARS-CoV-2 特异性免疫改变。
J Clin Invest. 2021 Apr 15;131(8). doi: 10.1172/JCI145853.
4
Critical COVID-19 is associated with distinct leukocyte phenotypes and transcriptome patterns.危重新冠肺炎与独特的白细胞表型和转录组模式相关。
J Intern Med. 2021 Sep;290(3):677-692. doi: 10.1111/joim.13310. Epub 2021 Jun 3.
5
Biomarkers and Immune Repertoire Metrics Identified by Peripheral Blood Transcriptomic Sequencing Reveal the Pathogenesis of COVID-19.外周血转录组测序鉴定的生物标志物和免疫反应谱指标揭示了 COVID-19 的发病机制。
Front Immunol. 2021 Aug 24;12:677025. doi: 10.3389/fimmu.2021.677025. eCollection 2021.
6
SARS-CoV-2 infection induces mixed M1/M2 phenotype in circulating monocytes and alterations in both dendritic cell and monocyte subsets.SARS-CoV-2 感染诱导循环单核细胞中 M1/M2 表型混合,并改变树突状细胞和单核细胞亚群。
PLoS One. 2020 Dec 31;15(12):e0241097. doi: 10.1371/journal.pone.0241097. eCollection 2020.
7
Different Innate and Adaptive Immune Responses to SARS-CoV-2 Infection of Asymptomatic, Mild, and Severe Cases.无症状、轻症和重症 SARS-CoV-2 感染者的固有和适应性免疫反应不同。
Front Immunol. 2020 Dec 16;11:610300. doi: 10.3389/fimmu.2020.610300. eCollection 2020.
8
Single-cell epigenomic landscape of peripheral immune cells reveals establishment of trained immunity in individuals convalescing from COVID-19.外周免疫细胞的单细胞表观基因组景观揭示了 COVID-19 康复个体中训练免疫的建立。
Nat Cell Biol. 2021 Jun;23(6):620-630. doi: 10.1038/s41556-021-00690-1. Epub 2021 Jun 9.
9
Lymphocyte Subset Alteration and Monocyte CD4 Expression Reduction in Patients with Severe COVID-19.严重 COVID-19 患者的淋巴细胞亚群改变和单核细胞 CD4 表达减少。
Viral Immunol. 2021 Jun;34(5):342-351. doi: 10.1089/vim.2020.0166. Epub 2020 Nov 23.
10
Sex differences in immune responses to SARS-CoV-2 in patients with COVID-19.COVID-19 患者对 SARS-CoV-2 的免疫反应中的性别差异。
Biosci Rep. 2021 Jan 29;41(1). doi: 10.1042/BSR20202074.

引用本文的文献

1
Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis.早期炎症特征可预测COVID-19的最大疾病严重程度:一项无监督聚类分析。
Heliyon. 2024 Jul 23;10(15):e34694. doi: 10.1016/j.heliyon.2024.e34694. eCollection 2024 Aug 15.
2
Immune dysfunction prior to and during vaccination in multiple myeloma: a case study based on COVID-19.多发性骨髓瘤患者在接种疫苗前后的免疫功能障碍:基于 COVID-19 的病例研究。
Blood Cancer J. 2024 Jul 10;14(1):111. doi: 10.1038/s41408-024-01089-5.
3
Whole blood transcriptome signature predicts severe forms of COVID-19: Results from the COVIDeF cohort study.

本文引用的文献

1
Cell-type-specific immune dysregulation in severely ill COVID-19 patients.重症 COVID-19 患者的细胞类型特异性免疫失调
Cell Rep. 2021 Mar 30;34(13):108943. doi: 10.1016/j.celrep.2021.108943.
2
Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway.全面分析 COVID-19 血液、肺部和气道的转录组学
Sci Rep. 2021 Mar 29;11(1):7052. doi: 10.1038/s41598-021-86002-x.
3
T Cell Activation, Highly Armed Cytotoxic Cells and a Shift in Monocytes CD300 Receptors Expression Is Characteristic of Patients With Severe COVID-19.
全血转录组特征可预测 COVID-19 的严重形式:COVIDeF 队列研究结果。
Funct Integr Genomics. 2024 May 21;24(3):107. doi: 10.1007/s10142-024-01359-2.
4
COVID-19: Recent Insight in Genomic Feature, Pathogenesis, Immunological Biomarkers, Treatment Options and Clinical Updates on SARS-CoV-2.新型冠状病毒肺炎:关于严重急性呼吸综合征冠状病毒2的基因组特征、发病机制、免疫生物标志物、治疗选择及临床进展的最新见解
Curr Genomics. 2024 Apr 8;25(2):69-87. doi: 10.2174/0113892029291098240129113500.
5
Immunohematologic Biomarkers in COVID-19: Insights into Pathogenesis, Prognosis, and Prevention.COVID-19中的免疫血液生物标志物:对发病机制、预后和预防的见解
Pathog Immun. 2023 Jun 26;8(1):17-50. doi: 10.20411/pai.v8i1.572. eCollection 2023.
6
Effective Natural Killer Cell Degranulation Is an Essential Key in COVID-19 Evolution.有效的自然杀伤细胞脱颗粒是 COVID-19 演变过程中的关键要素。
Int J Mol Sci. 2022 Jun 13;23(12):6577. doi: 10.3390/ijms23126577.
7
Dysregulated Immune Responses in SARS-CoV-2-Infected Patients: A Comprehensive Overview.SARS-CoV-2 感染患者免疫失调反应:全面综述。
Viruses. 2022 May 18;14(5):1082. doi: 10.3390/v14051082.
8
B cell subsets were associated with prognosis in elderly patients with community acquired pneumonia.B 细胞亚群与老年社区获得性肺炎患者的预后相关。
BMC Pulm Med. 2022 May 24;22(1):206. doi: 10.1186/s12890-022-01985-1.
9
Reduced Absolute Count of Monocytes in Patients Carrying Hematological Neoplasms and SARS-CoV2 Infection.血液系统肿瘤患者合并SARS-CoV2感染时单核细胞绝对计数降低。
Cancers (Basel). 2022 Feb 24;14(5):1173. doi: 10.3390/cancers14051173.
10
An Early Th1 Response Is a Key Factor for a Favorable COVID-19 Evolution.早期的Th1反应是COVID-19病情向好发展的关键因素。
Biomedicines. 2022 Jan 27;10(2):296. doi: 10.3390/biomedicines10020296.
T 细胞活化、高度武装的细胞毒性细胞以及单核细胞 CD300 受体表达的转变是重症 COVID-19 患者的特征。
Front Immunol. 2021 Mar 11;12:655934. doi: 10.3389/fimmu.2021.655934. eCollection 2021.
4
Inflammation and Antiviral Immune Response Associated With Severe Progression of COVID-19.炎症和抗病毒免疫反应与 COVID-19 的严重进展相关。
Front Immunol. 2021 Feb 18;12:631226. doi: 10.3389/fimmu.2021.631226. eCollection 2021.
5
Deciphering the state of immune silence in fatal COVID-19 patients.解读重症 COVID-19 患者的免疫沉默状态。
Nat Commun. 2021 Mar 5;12(1):1428. doi: 10.1038/s41467-021-21702-6.
6
Neutralizing Antibody Responses in COVID-19 Convalescent Sera.新型冠状病毒感染恢复期患者血清中的中和抗体反应。
J Infect Dis. 2021 Jan 4;223(1):47-55. doi: 10.1093/infdis/jiaa673.
7
Lymphopenia and neutrophilia at admission predicts severity and mortality in patients with COVID-19: a meta-analysis.入院时淋巴细胞减少和中性粒细胞增多可预测COVID-19患者的严重程度和死亡率:一项荟萃分析。
Acta Biomed. 2020 Sep 7;91(3):e2020008. doi: 10.23750/abm.v91i3.10217.
8
Elevated Calprotectin and Abnormal Myeloid Cell Subsets Discriminate Severe from Mild COVID-19.血清钙卫蛋白和异常髓系细胞亚群可区分 COVID-19 重症与轻症。
Cell. 2020 Sep 17;182(6):1401-1418.e18. doi: 10.1016/j.cell.2020.08.002. Epub 2020 Aug 5.
9
Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment.严重的 COVID-19 以髓系细胞失调为特征。
Cell. 2020 Sep 17;182(6):1419-1440.e23. doi: 10.1016/j.cell.2020.08.001. Epub 2020 Aug 5.
10
A dynamic COVID-19 immune signature includes associations with poor prognosis.一个动态的 COVID-19 免疫特征包括与预后不良的关联。
Nat Med. 2020 Oct;26(10):1623-1635. doi: 10.1038/s41591-020-1038-6. Epub 2020 Aug 17.