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.
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.
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。
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