Longitudinal single cell atlas identifies complex temporal relationship between type I interferon response and COVID-19 severity

纵向单细胞图谱确定了 I 型干扰素反应与 COVID-19 严重程度之间的复杂时间关系

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作者:Quy Xiao Xuan Lin #, Deepa Rajagopalan #, Akshamal M Gamage, Le Min Tan, Prasanna Nori Venkatesh, Wharton O Y Chan, Dilip Kumar, Ragini Agrawal, Yao Chen, Siew-Wai Fong, Amit Singh, Louisa J Sun, Seow-Yen Tan, Louis Yi Ann Chai, Jyoti Somani, Bernett Lee, Laurent Renia, Lisa F P Ng, Kollengode Raman

Abstract

Due to the paucity of longitudinal molecular studies of COVID-19, particularly those covering the early stages of infection (Days 1-8 symptom onset), our understanding of host response over the disease course is limited. We perform longitudinal single cell RNA-seq on 286 blood samples from 108 age- and sex-matched COVID-19 patients, including 73 with early samples. We examine discrete cell subtypes and continuous cell states longitudinally, and we identify upregulation of type I IFN-stimulated genes (ISGs) as the predominant early signature of subsequent worsening of symptoms, which we validate in an independent cohort and corroborate by plasma markers. However, ISG expression is dynamic in progressors, spiking early and then rapidly receding to the level of severity-matched non-progressors. In contrast, cross-sectional analysis shows that ISG expression is deficient and IFN suppressors such as SOCS3 are upregulated in severe and critical COVID-19. We validate the latter in four independent cohorts, and SOCS3 inhibition reduces SARS-CoV-2 replication in vitro. In summary, we identify complexity in type I IFN response to COVID-19, as well as a potential avenue for host-directed therapy.

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