Abstract

Understanding the mechanism that leads to immune dysfunction in severe coronavirus disease 2019 (COVID-19) is crucial for the development of effective treatment. Here, using single-cell RNA sequencing, we characterized the peripheral blood mononuclear cells (PBMCs) from uninfected controls and COVID-19 patients and cells in paired broncho-alveolar lavage fluid (BALF). We found a close association of decreased dendritic cells (DCs) and increased monocytes resembling myeloid-derived suppressor cells (MDSCs), which correlated with lymphopenia and inflammation in the blood of severe COVID-19 patients. Those MDSC-like monocytes were immune-paralyzed. In contrast, monocyte-macrophages in BALFs of COVID-19 patients produced massive amounts of cytokines and chemokines, but secreted little interferons. The frequencies of peripheral T cells and NK cells were significantly decreased in severe COVID-19 patients, especially for innate-like T and various CD8+ T cell subsets, compared to healthy controls. In contrast, the proportions of various activated CD4+ T cell subsets among the T cell compartment, including Th1, Th2, and Th17-like cells were increased and more clonally expanded in severe COVID-19 patients. Patients’ peripheral T cells showed no sign of exhaustion or augmented cell death, whereas T cells in BALFs produced higher levels of IFNG, TNF, CCL4, CCL5, etc. Paired TCR tracking indicated abundant recruitment of peripheral T cells to the severe patients’ lung. Together, this study comprehensively depicts how the immune cell landscape is perturbed in severe COVID-19.

Details

Title
The differential immune responses to COVID-19 in peripheral and lung revealed by single-cell RNA sequencing
Author
Xu, Gang 1 ; Qi Furong 1 ; Li Hanjie 2 ; Yang Qianting 1 ; Wang, Haiyan 1 ; Wang, Xin 1 ; Liu Xiaoju 3 ; Zhao Juanjuan 1 ; Liao Xuejiao 1 ; Liu, Yang 1 ; Liu, Lei 1 ; Zhang Shuye 4   VIAFID ORCID Logo  ; Zhang, Zheng 1   VIAFID ORCID Logo 

 Southern University of Science and Technology, Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Shenzhen, China (GRID:grid.263817.9) 
 Chinese Academy of Sciences, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Shenzhen, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Southern Medical University, Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Guangzhou, China (GRID:grid.284723.8) (ISNI:0000 0000 8877 7471) 
 Fudan University, Shanghai Public Health Clinical Center, Shanghai 201508, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
Publication year
2020
Publication date
2020
Publisher
Springer Nature B.V.
e-ISSN
20565968
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2471471753
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.