Author:
Xu Gang,Qi Furong,Wang Haiyan,Liu Yu,Wang Xin,Zou Rongrong,Yuan Jing,Liao Xuejiao,Liu Yang,Zhang Shuye,Zhang Zheng
Abstract
COVID-19 patients show heterogeneous and dynamic immune features which determine the clinical outcome. Here, we built a single-cell RNA sequencing (scRNA-seq) dataset for dissecting these complicated immune responses through a longitudinal survey of COVID-19 patients with various categories of outcomes. The data reveals a highly fluctuating peripheral immune landscape in severe COVID-19, whereas the one in asymptomatic/mild COVID-19 is relatively steady. Then, the perturbed immune landscape in peripheral blood returned to normal state in those recovered from severe COVID-19. Importantly, the imbalance of the excessively strong innate immune response and delayed adaptive immunity in the early stage of viral infection accelerates the progression of the disease, indicated by a transient strong IFN response and weak T/B-cell specific response. The proportion of abnormal monocytes appeared early and rose further throughout the severe disease. Our data indicate that a dynamic immune landscape is associated with the progression and recovery of severe COVID-19, and have provided multiple immune biomarkers for early warning of severe COVID-19.
Funder
National Science Fund for Distinguished Young Scholars
Chinese Academy of Medical Sciences
Shenzhen Bay Laboratory
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Shenzhen Science and Technology Innovation Program
Subject
Immunology,Immunology and Allergy
Cited by
9 articles.
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