• 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

分析 COVID-19 相关性肺炎和社区获得性肺炎中的淋巴细胞亚群和细胞因子。

Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia.

机构信息

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, Hubei, China.

Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, Hubei, China.

出版信息

J Immunol Res. 2021 Jun 9;2021:6657894. doi: 10.1155/2021/6657894. eCollection 2021.

DOI:10.1155/2021/6657894
PMID:34150910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8197671/
Abstract

BACKGROUND

The 2019 novel coronavirus SARS-CoV-2 caused large outbreaks of COVID-19 worldwide. COVID-19 resembles community-acquired pneumonia (CAP). Our aim was to identify lymphocyte subpopulations to distinguish between COVID-19 and CAP.

METHODS

We compared the peripheral blood lymphocytes and their subsets in 296 patients with COVID-19 and 130 patients with CAP. Parameters for independent prediction of COVID-19 were calculated by logistic regression.

RESULTS

The main lymphocyte subpopulations (CD3CD4, CD16CD56, and CD4/CD8 ratio) and cytokines (TNF- and IFN-) of COVID-19 patients were significantly different from that of CAP patients. CD16CD56%, CD4/CD8ratio, CD19, and CD3CD4 were identified as predictors of COVID-19 diagnosis by logistic regression. In addition, the CD3CD4counts, CD3CD8 counts, andTNF- are independent predictors of disease severity in patients.

CONCLUSIONS

Lymphopenia is an important part of SARS-CoV-2 infection, and lymphocyte subsets and cytokines may be useful to predict the severity and clinical outcomes of the disease.

摘要

背景

2019 年新型冠状病毒 SARS-CoV-2 引起了全球范围内的 COVID-19 大爆发。COVID-19 类似于社区获得性肺炎（CAP）。我们的目的是确定淋巴细胞亚群，以区分 COVID-19 和 CAP。

方法

我们比较了 296 例 COVID-19 患者和 130 例 CAP 患者的外周血淋巴细胞及其亚群。通过逻辑回归计算独立预测 COVID-19 的参数。

结果

COVID-19 患者的主要淋巴细胞亚群（CD3CD4、CD16CD56 和 CD4/CD8 比值）和细胞因子（TNF-和 IFN-）与 CAP 患者明显不同。通过逻辑回归确定 CD16CD56%、CD4/CD8 比值、CD19 和 CD3CD4 是 COVID-19 诊断的预测因子。此外，CD3CD4 计数、CD3CD8 计数和 TNF-是疾病严重程度的独立预测因子。

结论

淋巴细胞减少是 SARS-CoV-2 感染的重要组成部分，淋巴细胞亚群和细胞因子可能有助于预测疾病的严重程度和临床结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/0ac57afab5ed/JIR2021-6657894.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/99d9ebf35d48/JIR2021-6657894.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/bdc767a99c1a/JIR2021-6657894.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/06e53598d446/JIR2021-6657894.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/0ac57afab5ed/JIR2021-6657894.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/99d9ebf35d48/JIR2021-6657894.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/bdc767a99c1a/JIR2021-6657894.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/06e53598d446/JIR2021-6657894.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a4/8197671/0ac57afab5ed/JIR2021-6657894.004.jpg

相似文献

1
Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia.分析 COVID-19 相关性肺炎和社区获得性肺炎中的淋巴细胞亚群和细胞因子。
J Immunol Res. 2021 Jun 9;2021:6657894. doi: 10.1155/2021/6657894. eCollection 2021.
2
COVID-19 and Cancer: Discovery of Difference in Clinical Immune Indexes.新型冠状病毒肺炎（COVID-19）与癌症：临床免疫指标差异的发现。
J Immunol Res. 2021 Oct 18;2021:8669098. doi: 10.1155/2021/8669098. eCollection 2021.
3
CD4 and CD8 Lymphocyte Counts as Surrogate Early Markers for Progression in SARS-CoV-2 Pneumonia: A Prospective Study.CD4 和 CD8 淋巴细胞计数作为 SARS-CoV-2 肺炎进展的替代早期标志物：一项前瞻性研究。
Viruses. 2020 Nov 9;12(11):1277. doi: 10.3390/v12111277.
4
Viral loads, lymphocyte subsets and cytokines in asymptomatic, mildly and critical symptomatic patients with SARS-CoV-2 infection: a retrospective study.无症状、轻度和重症有症状 SARS-CoV-2 感染患者的病毒载量、淋巴细胞亚群和细胞因子：一项回顾性研究。
Virol J. 2021 Jun 12;18(1):126. doi: 10.1186/s12985-021-01597-x.
5
Circulating Cytokines and Lymphocyte Subsets in Patients Who Have Recovered from COVID-19.COVID-19 康复患者的循环细胞因子和淋巴细胞亚群。
Biomed Res Int. 2020 Nov 26;2020:7570981. doi: 10.1155/2020/7570981. eCollection 2020.
6
The changes of the peripheral CD4+ lymphocytes and inflammatory cytokines in Patients with COVID-19.新型冠状病毒肺炎患者外周血 CD4+T 淋巴细胞及炎症因子的变化。
PLoS One. 2020 Sep 25;15(9):e0239532. doi: 10.1371/journal.pone.0239532. eCollection 2020.
7
Dynamic changes in peripheral blood lymphocyte subsets in adult patients with COVID-19.成人 COVID-19 患者外周血淋巴细胞亚群的动态变化。
Int J Infect Dis. 2020 Sep;98:353-358. doi: 10.1016/j.ijid.2020.07.003. Epub 2020 Jul 4.
8
Alterations in B and NK cells highly correlate with disease severity in children with COVID-19.B 细胞和自然杀伤细胞的改变与 COVID-19 患儿的疾病严重程度高度相关。
Turk J Med Sci. 2023 Aug 10;53(5):1205-1213. doi: 10.55730/1300-0144.5686. eCollection 2023.
9
Effects of severe acute respiratory syndrome (SARS) coronavirus infection on peripheral blood lymphocytes and their subsets.严重急性呼吸综合征（SARS）冠状病毒感染对外周血淋巴细胞及其亚群的影响。
Int J Infect Dis. 2005 Nov;9(6):323-30. doi: 10.1016/j.ijid.2004.07.014. Epub 2005 Aug 10.
10
The clinical course and its correlated immune status in COVID-19 pneumonia.新型冠状病毒肺炎的临床过程及其相关免疫状态。
J Clin Virol. 2020 Jun;127:104361. doi: 10.1016/j.jcv.2020.104361. Epub 2020 Apr 12.

引用本文的文献

1
The prognostic value of serum apolipoprotein A1 levels in elderly patients with SARS-CoV-2 omicron infection.血清载脂蛋白A1水平在老年SARS-CoV-2奥密克戎感染患者中的预后价值
Front Cell Infect Microbiol. 2025 Jul 30;15:1617266. doi: 10.3389/fcimb.2025.1617266. eCollection 2025.
2
Risk of extended viral shedding of Omicron BA.2 in Shanghai: Implications for vaccination strategy optimization.上海奥密克戎BA.2毒株病毒长期脱落的风险：对优化疫苗接种策略的启示
Chin Med J Pulm Crit Care Med. 2023 Dec 7;1(4):241-248. doi: 10.1016/j.pccm.2023.11.001. eCollection 2023 Dec.
3
Machine learning-based derivation and validation of three immune phenotypes for risk stratification and prognosis in community-acquired pneumonia: a retrospective cohort study.

本文引用的文献

1
Can routine laboratory tests discriminate SARS-CoV-2-infected pneumonia from other causes of community-acquired pneumonia?常规实验室检查能否区分新型冠状病毒感染的肺炎与其他社区获得性肺炎病因？
Clin Transl Med. 2020 Jan;10(1):161-168. doi: 10.1002/ctm2.23.
2
Quantitative Detection and Viral Load Analysis of SARS-CoV-2 in Infected Patients.新型冠状病毒感染患者的病毒定量检测与载量分析
Clin Infect Dis. 2020 Jul 28;71(15):793-798. doi: 10.1093/cid/ciaa345.
3
Clinical features and obstetric and neonatal outcomes of pregnant patients with COVID-19 in Wuhan, China: a retrospective, single-centre, descriptive study.
基于机器学习推导和验证三种免疫表型用于社区获得性肺炎的风险分层和预后评估：一项回顾性队列研究
Front Immunol. 2024 Jul 24;15:1441838. doi: 10.3389/fimmu.2024.1441838. eCollection 2024.
4
COVID-19 in pulmonary critically ill patients: metagenomic identification of fungi and characterization of pathogenic microorganisms.肺危重症 COVID-19 患者：真菌的宏基因组鉴定及病原微生物特征。
Front Cell Infect Microbiol. 2024 Feb 20;13:1220012. doi: 10.3389/fcimb.2023.1220012. eCollection 2023.
5
Correlation of Lymphocyte Subpopulations, Clinical Features and Inflammatory Markers during Severe COVID-19 Onset.重症 COVID-19 发病期间淋巴细胞亚群、临床特征与炎症标志物的相关性
Pathogens. 2023 Mar 6;12(3):414. doi: 10.3390/pathogens12030414.
6
Host Protective Immunity against Severe Acute Respiratory Coronavirus 2 (SARS-CoV-2) and the COVID-19 Vaccine-Induced Immunity against SARS-CoV-2 and Its Variants.宿主对严重急性呼吸综合征冠状病毒 2（SARS-CoV-2）的保护性免疫与 COVID-19 疫苗诱导的对 SARS-CoV-2 及其变体的免疫。
Viruses. 2022 Nov 17;14(11):2541. doi: 10.3390/v14112541.
7
Leukocyte metabolism in obese type 2 diabetic individuals associated with COVID-19 severity.肥胖2型糖尿病个体的白细胞代谢与新冠病毒疾病严重程度相关。
Front Microbiol. 2022 Nov 3;13:1037469. doi: 10.3389/fmicb.2022.1037469. eCollection 2022.
8
Use of the derived isohemagglutinin parameter to predict patients with COVID-19 in need of an intensive care unit.使用衍生的同种血凝素参数预测需要重症监护病房的新冠肺炎患者。
Cent Eur J Immunol. 2022;47(1):73-83. doi: 10.5114/ceji.2022.115091. Epub 2022 Mar 30.
9
The Association between TNF-α, IL-6, and Vitamin D Levels and COVID-19 Severity and Mortality: A Systematic Review and Meta-Analysis.肿瘤坏死因子-α、白细胞介素-6与维生素D水平与新型冠状病毒肺炎严重程度及死亡率之间的关联：一项系统评价与Meta分析
Pathogens. 2022 Feb 1;11(2):195. doi: 10.3390/pathogens11020195.
中国武汉 COVID-19 孕妇的临床特征及母婴结局：一项回顾性、单中心、描述性研究。
Lancet Infect Dis. 2020 May;20(5):559-564. doi: 10.1016/S1473-3099(20)30176-6. Epub 2020 Mar 24.
4
Clinical and immunological features of severe and moderate coronavirus disease 2019.新型冠状病毒病 2019 重症和中度患者的临床和免疫学特征。
J Clin Invest. 2020 May 1;130(5):2620-2629. doi: 10.1172/JCI137244.
5
Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study.113 例新冠肺炎死亡患者的临床特征：回顾性研究。
BMJ. 2020 Mar 26;368:m1091. doi: 10.1136/bmj.m1091.
6
Analysis of clinical characteristics and laboratory findings of 95 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a retrospective analysis.中国武汉 95 例 2019 年新型冠状病毒肺炎的临床特征和实验室结果分析：回顾性分析。
Respir Res. 2020 Mar 26;21(1):74. doi: 10.1186/s12931-020-01338-8.
7
Covert coronavirus infections could be seeding new outbreaks.隐匿的新冠病毒感染可能正在引发新的疫情。
Nature. 2020 Mar 20. doi: 10.1038/d41586-020-00822-x.
8
Targeting Natural Killer Cells for Tumor Immunotherapy.靶向自然杀伤细胞进行肿瘤免疫治疗。
Front Immunol. 2020 Feb 19;11:60. doi: 10.3389/fimmu.2020.00060. eCollection 2020.
9
Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses.SARS-CoV-2 及其他 B 属β冠状病毒的细胞进入和受体使用功能评估。
Nat Microbiol. 2020 Apr;5(4):562-569. doi: 10.1038/s41564-020-0688-y. Epub 2020 Feb 24.
10
Pathological findings of COVID-19 associated with acute respiratory distress syndrome.与急性呼吸窘迫综合征相关的新型冠状病毒肺炎的病理表现
Lancet Respir Med. 2020 Apr;8(4):420-422. doi: 10.1016/S2213-2600(20)30076-X. Epub 2020 Feb 18.