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Elevated Exhaustion Levels of NK and CD8+ T Cells as Indicators for Progression and Prognosis of COVID-19 Disease

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单位: [1]Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Integrated Tradit Chinese & Western Med, Wuhan, Peoples R China [2]Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Clin Lab, Wuhan, Peoples R China [3]Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Dept Bioinformat & Syst Biol, Key Lab Mol Biophys,Minist Educ,Hubei Key Lab Bio, Wuhan, Peoples R China [4]NCI, HIV & AIDS Malignancy Branch, Ctr Canc Res, NIH, Bethesda, MD USA [5]Henan Prov Peoples Hosp, Dept Gastroenterol, Zhengzhou, Peoples R China [6]Huazhong Univ Sci & Technol, Tongji Med Coll, Dept Paediat, Tongji Hosp, Wuhan, Peoples R China [7]Tianjin Univ Tradit Chinese Med, Tianjin, Peoples R China [8]Ludwig Maximilians Univ Munchen, Inst Immunol, Munich, Germany [9]Helmholtz Zentrum Munchen, Inst Mol Immunol, Munich, Germany [10]Russian Acad Sci, Ural Branch, Inst Immunol & Physiol, Ekaterinburg, Russia [11]Huazhong Univ Sci & Technol, Tongji Med Coll, Inst Hematol, Union Hosp, Wuhan, Peoples R China
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关键词: COVID-19 natural killer (NK) cells T cells exhaustion prognosis

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Background Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) induced Coronavirus Disease 2019 (COVID-19) has posed a global threat to public health. The immune system is crucial in defending and eliminating the virus and infected cells. However, immune dysregulation may result in the rapid progression of COVID-19. Here, we evaluated the subsets, phenotypic and functional characteristics of natural killer (NK) and T cells in patients with COVID-19 and their associations with disease severity. Methods Demographic and clinical data of COVID-19 patients enrolled in Wuhan Union Hospital from February 25 to February 27, 2020, were collected and analyzed. The phenotypic and functional characteristics of NK cells and T cells subsets in circulating blood and serum levels of cytokines were analyzed via flow cytometry. Then the LASSO logistic regression model was employed to predict risk factors for the severity of COVID-19. Results The counts and percentages of NK cells, CD4(+) T cells, CD8(+) T cells and NKT cells were significantly reduced in patients with severe symptoms. The cytotoxic CD3(-)CD56(dim)CD16(+) cell population significantly decreased, while the CD3(-)CD56(dim)CD16(-) part significantly increased in severe COVID-19 patients. More importantly, elevated expression of regulatory molecules, such as CD244 and programmed death-1 (PD-1), on NK cells and T cells, as well as decreased serum cytotoxic effector molecules including perforin and granzyme A, were detected in patients with COVID-19. The serum IL-6, IL-10, and TNF-alpha were significantly increased in severe patients. Moreover, the CD3(-)CD56(dim)CD16(-) cells were screened out as an influential factor in severe cases by LASSO logistic regression. Conclusions The functional exhaustion and other subset alteration of NK and T cells may contribute to the progression and improve the prognosis of COVID-19. Surveillance of lymphocyte subsets may in the future enable early screening for signs of critical illness and understanding the pathogenesis of this disease.

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出版当年[2019]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
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出版当年[2018]版:
Q2 IMMUNOLOGY
最新[2023]版:
Q1 IMMUNOLOGY

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Integrated Tradit Chinese & Western Med, Wuhan, Peoples R China
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