Longitudinal Single Cell Atlas Identifies Type I Interferon Response as an Early Transient Prognostic Signature of COVID-19 Severity
- 1. Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, A*STAR
- 2. Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore
- 3. Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore;
- 4. Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
- 5. Alexandra Hospital, Singapore 159964, Singapore
- 6. Changi General Hospital, Singapore 529889, Singapore
- 7. National University Health System, Singapore 119228, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- 8. National University Health System, Singapore 119228, Singapore
- 9. Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; SingHealth Duke-NUS Global Health Institute, Singapore 168753, Singapore
- 10. National Centre for Infectious diseases, Singapore 308442, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore; Tan Tock Seng Hospital, Singapore 308433, Singapore
- 11. Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; National Centre for Infectious diseases, Singapore 308442, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore; Tan Tock Seng Hospital, Singapore 308433, Singapore
- 12. A*STAR Infectious Diseases Labs, A*STAR, Singapore 138648, Singapore; Singapore Immunology Network, A*STAR, Singapore 138648, Singapore
Description
The clinical spectrum of COVID-19 ranges from asymptomatic or mildly symptomatic illness to pneumonia, critical illness and death. Molecular markers early in the disease course (Days 1-8) that identify patients at high risk for progression are scarce, due to the paucity of relevant longitudinal studies. We performed longitudinal single cell RNA-seq on 286 peripheral blood samples from 108 age- and gender-matched COVID-19 patients, 73 of which had at least one early sample. By examining discrete cell subtypes as well as continuous single cell states, we identified upregulation of genes related to type I interferon (IFN) signaling as the predominant cellular prognostic signature of future disease severity. Type I IFN signaling was dynamic and complex, spiking early in Progressors and then receding to the level of Non-Progressors at the very next sampling. Across the entire cohort, expression of type I IFN signaling genes dropped steadily, falling to asymptomatic levels by Day 14 regardless of severity. Moreover, in severe and critical cases, IFN signaling was deficient during Days 5-8, potentially due to upregulation of SOCS3 and other negative regulators. In summary, we have identified an early expression signature that may predict COVID-19 severity, as well as potential mechanisms underlying the dysfunctional host immune response in severe disease.