tetano
Editor, Senior Moderator
J Immunol Res
. 2021 Jun 9;2021:6657894.
doi: 10.1155/2021/6657894. eCollection 2021.
Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia
Guohong Liu[SUP] 1 [/SUP], Xianghu Jiang[SUP] 2 [/SUP], Xiaojiao Zeng[SUP] 2 [/SUP], Yunbao Pan[SUP] 2 [/SUP], Haibo Xu[SUP] 1 [/SUP]
Affiliations
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 (CD3[SUP]+[/SUP]CD4[SUP]+[/SUP], CD16[SUP]+[/SUP]CD56[SUP]+[/SUP], and CD4[SUP]+[/SUP]/CD8[SUP]+[/SUP] ratio) and cytokines (TNF-α and IFN-γ) of COVID-19 patients were significantly different from that of CAP patients. CD16[SUP]+[/SUP]CD56[SUP]+[/SUP]%, CD4[SUP]+[/SUP]/CD8[SUP]+[/SUP]ratio, CD19[SUP]+[/SUP], and CD3[SUP]+[/SUP]CD4[SUP]+[/SUP] were identified as predictors of COVID-19 diagnosis by logistic regression. In addition, the CD3[SUP]+[/SUP]CD4[SUP]+[/SUP]counts, CD3[SUP]+[/SUP]CD8[SUP]+[/SUP] counts, andTNF-α 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.
. 2021 Jun 9;2021:6657894.
doi: 10.1155/2021/6657894. eCollection 2021.
Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia
Guohong Liu[SUP] 1 [/SUP], Xianghu Jiang[SUP] 2 [/SUP], Xiaojiao Zeng[SUP] 2 [/SUP], Yunbao Pan[SUP] 2 [/SUP], Haibo Xu[SUP] 1 [/SUP]
Affiliations
- PMID: 34150910
- PMCID: PMC8197671
- DOI: 10.1155/2021/6657894
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 (CD3[SUP]+[/SUP]CD4[SUP]+[/SUP], CD16[SUP]+[/SUP]CD56[SUP]+[/SUP], and CD4[SUP]+[/SUP]/CD8[SUP]+[/SUP] ratio) and cytokines (TNF-α and IFN-γ) of COVID-19 patients were significantly different from that of CAP patients. CD16[SUP]+[/SUP]CD56[SUP]+[/SUP]%, CD4[SUP]+[/SUP]/CD8[SUP]+[/SUP]ratio, CD19[SUP]+[/SUP], and CD3[SUP]+[/SUP]CD4[SUP]+[/SUP] were identified as predictors of COVID-19 diagnosis by logistic regression. In addition, the CD3[SUP]+[/SUP]CD4[SUP]+[/SUP]counts, CD3[SUP]+[/SUP]CD8[SUP]+[/SUP] counts, andTNF-α 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.