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

Author

Listed:
  • Quy Xiao Xuan Lin

    (Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR))

  • Deepa Rajagopalan

    (Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR))

  • Akshamal M. Gamage

    (Programme in Emerging Infectious Diseases, Duke-NUS Medical School)

  • Le Min Tan

    (Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR))

  • Prasanna Nori Venkatesh

    (Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR))

  • Wharton O. Y. Chan

    (Programme in Emerging Infectious Diseases, Duke-NUS Medical School)

  • Dilip Kumar

    (Singapore Immunology Network, A*STAR)

  • Ragini Agrawal

    (Centre for Infectious Disease Research, Indian Institute of Science)

  • Yao Chen

    (A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR)

  • Siew-Wai Fong

    (A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR)

  • Amit Singh

    (Centre for Infectious Disease Research, Indian Institute of Science)

  • Louisa J. Sun

    (Alexandra Hospital)

  • Seow-Yen Tan

    (Changi General Hospital)

  • Louis Yi Ann Chai

    (National University Health System
    National University of Singapore)

  • Jyoti Somani

    (National University Health System
    National University of Singapore)

  • Bernett Lee

    (Singapore Immunology Network, A*STAR
    A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR
    Nanyang Technological University)

  • Laurent Renia

    (A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR
    Nanyang Technological University)

  • Lisa F P Ng

    (A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR)

  • Kollengode Ramanathan

    (National University of Singapore
    National University Hospital)

  • Lin-Fa Wang

    (Programme in Emerging Infectious Diseases, Duke-NUS Medical School
    SingHealth Duke-NUS Global Health Institute)

  • Barnaby Young

    (Nanyang Technological University
    National Centre for Infectious diseases
    Tan Tock Seng Hospital)

  • David Lye

    (National University of Singapore
    Nanyang Technological University
    National Centre for Infectious diseases
    Tan Tock Seng Hospital)

  • Amit Singhal

    (Singapore Immunology Network, A*STAR
    A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR)

  • Shyam Prabhakar

    (Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR))

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.

Suggested Citation

  • 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, 2024. "Longitudinal single cell atlas identifies complex temporal relationship between type I interferon response and COVID-19 severity," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44524-0
    DOI: 10.1038/s41467-023-44524-0
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    References listed on IDEAS

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