Evidence map›Paper›PMID 34429968›Full record

ArticleClinical & translational immunology2021

Antibodies against type I interferon: detection and association with severe clinical outcome in COVID-19 patients.

David Goncalves, Mehdi Mezidi, Paul Bastard, Magali Perret, Kahina Saker, Nicole Fabien, Rémi Pescarmona, Christine Lombard, Thierry Walzer, Jean-Laurent Casanova and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
6.6field-weighted citation impact, top 3% 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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 121 citations in OpenAlex.

  1. Pooled it
  2. Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
    Pooled it
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  7. Type I IFN autoantibodies underlie chikungunya live-attenuated vaccine encephalitis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  20. A sensitive assay for measuring whole-blood responses to type I IFNs.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article

23 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 2 countries.

David GoncalvesImmunology Department Lyon Sud Hospital Hospices Civils de Lyon Pierre-Bénite France.ORCID https://orcid.org/0000-0002-7707-0918
Mehdi MezidiCREATIS CNRS UMR5220 Inserm U1044 INSA Lyon University Lyon France.ORCID https://orcid.org/0000-0002-8715-8323
Paul BastardLaboratory of Human Genetics of Infectious Diseases Necker Branch INSERM U1163 Necker Hospital for Sick Children Paris France.ORCID https://orcid.org/0000-0002-5926-8437
Magali PerretImmunology Department Lyon Sud Hospital Hospices Civils de Lyon Pierre-Bénite France.ORCID https://orcid.org/0000-0002-9215-5186
Kahina SakerInfective Agents Institute Hospices Civils de Lyon Lyon France.ORCID https://orcid.org/0000-0001-8825-5400
Nicole FabienImmunology Department Lyon Sud Hospital Hospices Civils de Lyon Pierre-Bénite France.ORCID https://orcid.org/0000-0001-9079-1421
Rémi PescarmonaImmunology Department Lyon Sud Hospital Hospices Civils de Lyon Pierre-Bénite France.ORCID https://orcid.org/0000-0002-7218-3294
Christine LombardImmunology Department Lyon Sud Hospital Hospices Civils de Lyon Pierre-Bénite France.ORCID https://orcid.org/0000-0002-4204-9510
Thierry WalzerInternational Center of Research in Infectiology INSERM U1111 CNRS UMR 5308 ENS UCBL Lyon University Lyon France.ORCID https://orcid.org/0000-0002-0857-8179
Jean-Laurent CasanovaLaboratory of Human Genetics of Infectious Diseases Necker Branch INSERM U1163 Necker Hospital for Sick Children Paris France.ORCID https://orcid.org/0000-0002-7782-4169
Alexandre BelotInternational Center of Research in Infectiology INSERM U1111 CNRS UMR 5308 ENS UCBL Lyon University Lyon France.ORCID https://orcid.org/0000-0003-4902-5332
Jean-Christophe RichardCREATIS CNRS UMR5220 Inserm U1044 INSA Lyon University Lyon France.ORCID https://orcid.org/0000-0003-1503-3035
Sophie Trouillet-AssantInternational Center of Research in Infectiology INSERM U1111 CNRS UMR 5308 ENS UCBL Lyon University Lyon France.ORCID https://orcid.org/0000-0001-6439-4705
Université Claude Bernard Lyon 1 · FRHospices Civils de Lyon · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesImpairment of type I interferon (IFN-I) immunity has been reported in critically ill COVID-19 patients. This defect can be explained in a subset of patients by the presence of circulating autoantibodies (auto-Abs) against IFN-I. We set out to improve the detection and the quantification of IFN-I auto-Abs in a cohort of critically ill COVID-19 patients, in order to better evaluate the prevalence of these Abs as the pandemic progresses, and how they correlate with the clinical course of the disease.

methodsThe concentration of anti

resultsA total of 21 of 84 (25%) critically ill COVID-19 patients had circulating anti-IFN-α

conclusionsWe reported that 18% of critically ill COVID-19 patients were positive for IFN-I auto-Abs, whereas all mild COVID-19 patients were negative, confirming that the presence of these antibodies is associated with a higher risk of developing a critical COVID-19 form.

Indexed as

autoantibodiesCOVID‐19intensive care unitSARS‐CoV‐2 virustype I interferonviral infection

Identifiers

PMID34429968
PMCPMC8370568
OpenAlexW3196269315

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.