Evidence map›Paper›PMID 38238298›Full record

ArticleNature communications2024

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

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 and 14 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07527247 (Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07527247 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity

TypeinterventionalSponsorSingapore General HospitalRan2025 to 2029Enrolled40ConditionsImmune System Responses and Trained Immunity After AS01 Administration, Healthy AdultArmsAS01 adjuvant (0.5 mL intramuscular), YF17D (Stamaril, Sanofi-Pasteur), Placebo (NaCl 09%, 0.5mL)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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  4. Longitudinal omics data analysis: approaches and applications.Computational and structural biotechnology journal · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
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  10. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 8 institutions in 2 countries.

Quy Xiao Xuan Lin *Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Deepa Rajagopalan *Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Akshamal M GamageProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, 169857, Singapore.
Le Min TanLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.ORCID 0000-0003-4018-3465
Prasanna Nori VenkateshLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.ORCID 0000-0002-3974-6200
Wharton O Y ChanProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, 169857, Singapore.ORCID 0000-0002-4526-470X
Dilip KumarSingapore Immunology Network, A*STAR, Singapore, 138648, Singapore.ORCID 0000-0002-1848-3034
Ragini AgrawalDepartment of Microbiology and Cell Biology, Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, 560012, India.
Yao ChenA*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
Siew-Wai FongA*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
Amit SinghDepartment of Microbiology and Cell Biology, Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, 560012, India.ORCID 0000-0001-6761-1664
Louisa J SunAlexandra Hospital, Singapore, 159964, Singapore.
Seow-Yen TanChangi General Hospital, Singapore, 529889, Singapore.
Louis Yi Ann ChaiDivision of Infectious Diseases, Department of Medicine, National University Health System, Singapore, 119228, Singapore.
Jyoti SomaniDivision of Infectious Diseases, Department of Medicine, National University Health System, Singapore, 119228, Singapore.
Bernett LeeSingapore Immunology Network, A*STAR, Singapore, 138648, Singapore.
Laurent ReniaA*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.
Lisa F P NgA*STAR Infectious Diseases Labs (A*STAR ID Labs), A*STAR, Singapore, 138648, Singapore.ORCID 0000-0003-4071-5222
Kollengode RamanathanYong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.ORCID 0000-0003-1822-9455
Lin-Fa WangProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, 169857, Singapore.ORCID 0000-0003-2752-0535
Barnaby YoungLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore.ORCID 0000-0003-1010-2230
David LyeYong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
Amit SinghalSingapore Immunology Network, A*STAR, Singapore, 138648, Singapore. amit_singhal@idlabs.a-star.edu.sg.ORCID 0000-0003-3913-8798
Shyam PrabhakarLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore. prabhakars@gis.a-star.edu.sg.ORCID 0000-0002-6409-0661
Agency for Science, Technology and Research · SGNational University of Singapore · SGDuke-NUS Medical School · SGAlexandra Hospital · SGChangi General Hospital · SGIndian Institute of Science Bangalore · INNanyang Technological University · SGSingHealth · SG

Funding

Wellcome Trust
6 · The paper itself

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.

Indexed as

COVID-19Interferon Type ICross-Sectional StudiesHumansSARS-CoV-2Up-RegulationInterferon Type I

Identifiers

PMID38238298
PMCPMC10796319
OpenAlexW4390984725

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.