Evidence map›Paper›PMID 36522221›Full record

ReviewThe Journal of allergy and clinical immunology2023

Impact of SARS-CoV-2 infection and COVID-19 on patients with inborn errors of immunity.

Stuart G Tangye, COVID Human Genetic Effort consortium

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of allergy and clinical immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.1field-weighted citation impact, top 7% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  6. Molecular determinants of cross-species transmission in emerging viral infections.Microbiology and molecular biology reviews : MMBR · 2024
    Review
  7. Article
  8. Article
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  12. 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

2 authors at 3 institutions in 2 countries.

Stuart G TangyeGarvan Institute of Medical Research, Darlinghurst, Darlinghurst, Australia; St Vincent's Clinical School, University of New South Wales Sydney, Randwick, Randwick, Australia; Clinical Immunogenomics Research Consortium of Australasia (CIRCA). Electronic address: s.tangye@garvan.org.au.
COVID Human Genetic Effort consortiumGarvan Institute of Medical Research, Darlinghurst, Darlinghurst, Australia; St Vincent's Clinical School, University of New South Wales Sydney, Randwick, Randwick, Australia; Clinical Immunogenomics Research Consortium of Australasia (CIRCA).
St Vincent's Clinic · AUClinical Research Consortium · USUNSW Sydney · AU

Funding

TRANSFORMING TRANSLATIONAL SCIENCE AND EDUCATION TO BENEFIT HUMAN HEALTHUL1RR024143 · NCRR · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2006 to 2011
$49.1M
Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Host factors contributing to susceptibility to COVID-19 diseaseZIAAI001265 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI SU, HELEN CHUN-HUI · 2020 to 2025
$9.5M
Monogenic basis of resistance to SARS-CoV2 and predisposition to severe COVID-19R01AI088364 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI Jean-Laurent Casanova, Shen-Ying Zhang · 2010 to 2026
$8.7M
Inborn errors of immunity in patients with life-threatening COVID-19R01AI163029 · NIAID · ROCKEFELLER UNIVERSITY · PI CASANOVA, JEAN-LAURENT, ZHANG, QIAN · 2021 to 2025
$3.7M
Characterization of host immune responses to SARS-CoV-2ZIAAI001270 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NOTARANGELO, LUIGI · 2020 to 2025
$1.2M
Medical Research Council MR/S032304/1NCATS NIH HHS UL1 TR001866NCRR NIH HHS UL1 RR024143NIAID NIH HHS R01 AI088364NIAID NIH HHS R01 AI163029
6 · The paper itself

Abstract

Since the arrival of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in December 2019, its characterization as a novel human pathogen, and the resulting coronavirus disease 2019 (COVID-19) pandemic, over 6.5 million people have died worldwide-a stark and sobering reminder of the fundamental and nonredundant roles of the innate and adaptive immune systems in host defense against emerging pathogens. Inborn errors of immunity (IEI) are caused by germline variants, typically in single genes. IEI are characterized by defects in development and/or function of cells involved in immunity and host defense, rendering individuals highly susceptible to severe, recurrent, and sometimes fatal infections, as well as immune dysregulatory conditions such as autoinflammation, autoimmunity, and allergy. The study of IEI has revealed key insights into the molecular and cellular requirements for immune-mediated protection against infectious diseases. Indeed, this has been exemplified by assessing the impact of SARS-CoV-2 infection in individuals with previously diagnosed IEI, as well as analyzing rare cases of severe COVID-19 in otherwise healthy individuals. This approach has defined fundamental aspects of mechanisms of disease pathogenesis, immunopathology in the context of infection with a novel pathogen, and therapeutic options to mitigate severe disease. This review summarizes these findings and illustrates how the study of these rare experiments of nature can inform key features of human immunology, which can then be leveraged to improve therapies for treating emerging and established infectious diseases.

Indexed as

Communicable DiseasesCOVID-19Disease SusceptibilityHumansSARS-CoV-2COVID-19cytokine stormimmune dysregulationinborn errors of immunityprimary immune deficienciesSARS-CoV-2type I IFN signaling

Identifiers

PMID36522221
PMCPMC9746792
OpenAlexW4311276733

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.