Study of the lymphocyte change between COVID-19 and non-COVID-19 pneumonia cases suggesting other factors besides uncontrolled inflammation contributed to multi-organ injury

Zheng, Yishan; Huang, Zhen; Ying, Guoping; Zhang, Xia; Ye, Wei; Hu, Zhiliang; Hu, Chunmei; Wei, Hongxia; Zeng, Yi; Chi, Yun; Cheng, Cong; Lin, Feishen; Lu, Hu; Xiao, Lingyan; Song, Yan; Wang, Chunming; Yi, Yongxiang; Dong, Lei

Background: The corona virus disease 2019 (COVID-19) shows unusually high transmission rate and unique clinical characteristics, with key pathological mechanism remaining unclear. Here, we analysed the laboratory data based on clinical samples from COVID-19 patients, in parallel comparison with non-COVID-19 pneumonia cases, in an attempt to elucidate the key pathological features of COVID-19 during its infection of the human body. Methods: We analysed biochemical indices and lymphocyte subpopulation in COVID-19 patients, and compare these data from non-COVID-19 pneumonia cases. Correlation analysis was performed between leukocyte subgroups count and biochemical indexes in COVID-19 patients. Results: The study enrolled 110 patients, comprising 88 COVID-19 patients and 22 non-COVID-19 pneumonia cases. We observed significant differences, including abnormal biochemical indices (CRP, LDH, AST, eGFR, and sodium ion concentration) and reduced lymphocyte subsets count, between the COVID-19 patients and non-COVID-19-caused pneumonia cases. Correlation analysis indicates that the count for lymphocyte subsets-but not that for neutrophils and monocytes-exhibits a significant negative correlation with biochemical indices relating to organ injury, in the COVID-19 infected patients. Conclusions: The study indicates significantly different clinical features between 2019 novel coronavirus (2019-nCoV)-caused and non-2019-nCoV-caused pneumonia, especially in terms of lymphocytopenia and organ injury. Notably, correlation analysis demonstrates that tissue damage in COVID-19 patients is attributed to virus infection itself rather than uncontrolled inflammatory responses ("cytokine storm"). These findings provide new insights for developing efficient therapeutic strategies against COVID-19 infection.