Department of Integrated Traditional Chinese and Western Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Immunol. 2020 Oct 14;11:580237. doi: 10.3389/fimmu.2020.580237. eCollection 2020.
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.
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 flow cytometry. Then the LASSO logistic regression model was employed to predict risk factors for the severity of COVID-19.
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 CD3CD56CD16 cell population significantly decreased, while the CD3CD56CD16 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-α were significantly increased in severe patients. Moreover, the CD3CD56CD16 cells were screened out as an influential factor in severe cases by LASSO logistic regression.
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.
严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起的 2019 年冠状病毒病(COVID-19)对全球公共卫生构成了威胁。免疫系统在防御和消除病毒和感染细胞方面至关重要。然而,免疫失调可能导致 COVID-19 的快速进展。在这里,我们评估了 COVID-19 患者外周血 NK 和 T 细胞亚群的表型和功能特征及其与疾病严重程度的关系。
收集并分析了 2020 年 2 月 25 日至 27 日武汉协和医院收治的 COVID-19 患者的人口统计学和临床数据。采用流式细胞术分析循环血液中 NK 细胞和 T 细胞亚群的表型和功能特征以及血清细胞因子水平。然后采用 LASSO 逻辑回归模型预测 COVID-19 严重程度的危险因素。
重症患者 NK 细胞、CD4 T 细胞、CD8 T 细胞和 NKT 细胞的计数和百分比明显降低。重症 COVID-19 患者的细胞毒性 CD3CD56CD16 细胞群明显减少,而 CD3CD56CD16 部分明显增加。更重要的是,在 COVID-19 患者中检测到 NK 细胞和 T 细胞上调节分子(如 CD244 和程序性死亡-1(PD-1))的表达升高,以及细胞毒性效应分子(如穿孔素和颗粒酶 A)的血清水平降低。重症患者血清中 IL-6、IL-10 和 TNF-α明显升高。此外,LASSO 逻辑回归筛选出 CD3CD56CD16 细胞是重症病例的一个影响因素。
NK 和 T 细胞的功能耗竭和其他亚群改变可能导致 COVID-19 的进展,并改善 COVID-19 的预后。淋巴细胞亚群的监测可能有助于未来对重症迹象进行早期筛查,并了解该疾病的发病机制。