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Longitudinal single cell atlas identifies complex temporal relationship between type I interferon response and COVID-19 severity.
Lin, Quy Xiao Xuan; Rajagopalan, Deepa; Gamage, Akshamal M; Tan, Le Min; Venkatesh, Prasanna Nori; Chan, Wharton O Y; Kumar, Dilip; Agrawal, Ragini; Chen, Yao; Fong, Siew-Wai; Singh, Amit; Sun, Louisa J; Tan, Seow-Yen; Chai, Louis Yi Ann; Somani, Jyoti; Lee, Bernett; Renia, Laurent; Ng, Lisa F P; Ramanathan, Kollengode; Wang, Lin-Fa; Young, Barnaby; Lye, David; Singhal, Amit; Prabhakar, Shyam.
Affiliation
  • Lin QXX; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
  • Rajagopalan D; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
  • Gamage AM; Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, 169857, Singapore.
  • Tan LM; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
  • Venkatesh PN; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
  • Chan WOY; Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, 169857, Singapore.
  • Kumar D; Singapore Immunology Network, A*STAR, Singapore, 138648, Singapore.
  • Agrawal R; Department of Microbiology and Cell Biology, Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, 560012, India.
  • Chen Y; A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
  • Fong SW; A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
  • Singh A; Department of Microbiology and Cell Biology, Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, 560012, India.
  • Sun LJ; Alexandra Hospital, Singapore, 159964, Singapore.
  • Tan SY; Changi General Hospital, Singapore, 529889, Singapore.
  • Chai LYA; Division of Infectious Diseases, Department of Medicine, National University Health System, Singapore, 119228, Singapore.
  • Somani J; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
  • Lee B; Division of Infectious Diseases, Department of Medicine, National University Health System, Singapore, 119228, Singapore.
  • Renia L; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
  • Ng LFP; Singapore Immunology Network, A*STAR, Singapore, 138648, Singapore.
  • Ramanathan K; A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
  • Wang LF; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore.
  • Young B; A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
  • Lye D; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore.
  • Singhal A; A*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
  • Prabhakar S; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
Nat Commun ; 15(1): 567, 2024 Jan 18.
Article de En | MEDLINE | ID: mdl-38238298
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.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Interféron de type I / COVID-19 Type d'étude: Observational_studies / Prevalence_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2024 Type de document: Article Pays d'affiliation: Singapour

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Interféron de type I / COVID-19 Type d'étude: Observational_studies / Prevalence_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2024 Type de document: Article Pays d'affiliation: Singapour
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