Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients

SUMMARY Dysfunctional immune response in the COVID-19 patients is a recurrent theme impacting symptoms and mortality, yet the detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 205 COVID-19 patients and controls to create a comprehensive immune landscape. Lymphopenia and active T and B cell responses were found to coexist and associated with age, sex and their interactions with COVID-19. Diverse epithelial and immune cell types were observed to be virus-positive and showed dramatic transcriptomic changes. Elevation of ANXA1 and S100A9 in virus-positive squamous epithelial cells may enable the initiation of neutrophil and macrophage responses via the ANXA1-FPR1 and S100A8/9-TLR4 axes. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis and designing effective therapeutic strategies for COVID-19.HIGHLIGHTS <jats:list list-type="bullet">Large-scale scRNA-seq analysis depicts the immune landscape of COVID-19Lymphopenia and active T and B cell responses coexist and are shaped by age and sexSARS-CoV-2 infects diverse epithelial and immune cells, inducing distinct responsesCytokine storms with systemic S100A8/A9 are associated with COVID-19 severity.

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 25. Nov. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Ren, Xianwen [VerfasserIn]
Wen, Wen [VerfasserIn]
Fan, Xiaoying [VerfasserIn]
Hou, Wenhong [VerfasserIn]
Su, Bin [VerfasserIn]
Cai, Pengfei [VerfasserIn]
Li, Jiesheng [VerfasserIn]
Liu, Yang [VerfasserIn]
Tang, Fei [VerfasserIn]
Zhang, Fan [VerfasserIn]
Yang, Yu [VerfasserIn]
He, Jiangping [VerfasserIn]
Ma, Wenji [VerfasserIn]
He, Jingjing [VerfasserIn]
Wang, Pingping [VerfasserIn]
Cao, Qiqi [VerfasserIn]
Chen, Fangjin [VerfasserIn]
Chen, Yuqing [VerfasserIn]
Cheng, Xuelian [VerfasserIn]
Deng, Guohong [VerfasserIn]
Deng, Xilong [VerfasserIn]
Ding, Wenyu [VerfasserIn]
Feng, Yingmei [VerfasserIn]
Gan, Rui [VerfasserIn]
Guo, Chuang [VerfasserIn]
Guo, Weiqiang [VerfasserIn]
He, Shuai [VerfasserIn]
Jiang, Chen [VerfasserIn]
Liang, Juanran [VerfasserIn]
Li, Yi-min [VerfasserIn]
Lin, Jun [VerfasserIn]
Ling, Yun [VerfasserIn]
Liu, Haofei [VerfasserIn]
Liu, Jianwei [VerfasserIn]
Liu, Nianping [VerfasserIn]
Liu, Yang [VerfasserIn]
Luo, Meng [VerfasserIn]
Ma, Qiang [VerfasserIn]
Song, Qibing [VerfasserIn]
Sun, Wujianan [VerfasserIn]
Wang, GaoXiang [VerfasserIn]
Wang, Feng [VerfasserIn]
Wang, Ying [VerfasserIn]
Wen, Xiaofeng [VerfasserIn]
Wu, Qian [VerfasserIn]
Xu, Gang [VerfasserIn]
Xie, Xiaowei [VerfasserIn]
Xiong, Xinxin [VerfasserIn]
Xing, Xudong [VerfasserIn]
Xu, Hao [VerfasserIn]
Yin, Chonghai [VerfasserIn]
Yu, Dongdong [VerfasserIn]
Yu, Kezhuo [VerfasserIn]
Yuan, Jin [VerfasserIn]
Zhang, Biao [VerfasserIn]
Zhang, Tong [VerfasserIn]
Zhao, Jincun [VerfasserIn]
Zhao, Peidong [VerfasserIn]
Zhou, Jianfeng [VerfasserIn]
Zhou, Wei [VerfasserIn]
Zhong, Sujuan [VerfasserIn]
Zhong, Xiaosong [VerfasserIn]
Zhang, Shuye [VerfasserIn]
Zhu, Lin [VerfasserIn]
Zhu, Ping [VerfasserIn]
Zou, Bin [VerfasserIn]
Zou, Jiahua [VerfasserIn]
Zuo, Zengtao [VerfasserIn]
Bai, Fan [VerfasserIn]
Huang, Xi [VerfasserIn]
Bian, Xiuwu [VerfasserIn]
Zhou, Penghui [VerfasserIn]
Jiang, Qinghua [VerfasserIn]
Huang, Zhiwei [VerfasserIn]
Bei, Jin-Xin [VerfasserIn]
Wei, Lai [VerfasserIn]
Liu, Xindong [VerfasserIn]
Cheng, Tao [VerfasserIn]
Li, Xiangpan [VerfasserIn]
Zhao, Pingsen [VerfasserIn]
Wang, Fu-Sheng [VerfasserIn]
Wang, Hongyang [VerfasserIn]
Su, Bing [VerfasserIn]
Zhang, Zheng [VerfasserIn]
Qu, Kun [VerfasserIn]
Wang, Xiaoqun [VerfasserIn]
Chen, Jiekai [VerfasserIn]
Jin, Ronghua [VerfasserIn]
Zhang, Zemin [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2020.10.29.360479

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI019233167