Evidence map›Paper›PMID 34611657›Full record

ArticleResearch square2021

Autoantibodies neutralizing type I interferons in 20% of COVID-19 deaths in a French hospital.

Angélique Chauvineau-Grenier, Paul Bastard, Antoine Servajean, Adrian Gervais, Jérémie Rosain, Emmanuelle Jouanguy, Aurélie Cobat, Jean-Laurent Casanova, Benjamin Rossi

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 31 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Angélique Chauvineau-GrenierMedical Biology Department, Robert Ballanger Hospital, Aulnay-Sous-Bois, France.ORCID 0000-0001-9467-744X
Paul BastardLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
Antoine ServajeanUniversity of Paris, UFR de Médecine, site Xavier Bichat, Paris, France.
Adrian GervaisLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
Jérémie RosainLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
Emmanuelle JouanguyLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
Aurélie CobatLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
Jean-Laurent CasanovaLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
Benjamin RossiDepartment of Internal Medicine, Robert Ballanger Hospital, Aulnay-Sous-Bois, France.
Inserm · FRCentre hospitalier Robert-Ballanger · FRHoward Hughes Medical Institute · USUniversité Paris Cité · FR

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Yale Center for Mendelian GenomicsUM1HG006504 · NHGRI · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER, GUNEL, MURAT · 2016 to 2020
$14.8M
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
NHGRI Genome Sequencing Program Coordinating CenterU24HG008956 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI BUYSKE, STEVEN G, MATISE, TARA C. · 2016 to 2020
$4.9M
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
High Performance Computing Instrumentation for the Yale Center for Genome AnalysiS10OD018521 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2015 to 2015
$890k
NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR001866NHGRI NIH HHS U24 HG008956NHGRI NIH HHS UM1 HG006504NIAID NIH HHS R01 AI088364NIAID NIH HHS R01 AI163029NIH HHS S10 OD018521
6 · The paper itself

Abstract

Recent studies reported the presence of pre-existing autoantibodies (auto-Abs) neutralizing type I interferons (IFNs) in at least 15% of patients with critical or severe COVID-19 pneumonia. In one study, these auto-Abs were found in almost 20% of deceased patients across all ages. We aimed to assess the prevalence and clinical impact of the auto-Abs to type I IFNs in Seine-Saint-Denis district, which was one of the most affected areas by COVID-19 in France during the first wave. We tested for the presence of auto-Abs neutralizing type I IFNs in a cohort of patients admitted for critical COVID-19 pneumonia during the first wave in the spring of 2020 in medicine departments at Robert Ballanger Hospital, Aulnay sous Bois. We found circulating auto-Abs that neutralized 100 pg/mL IFN-α2 and/or IFN-ω in plasma 1/10 in 7.9% (11 of 139) of patients hospitalized for critical COVID-19. The presence of neutralizing auto-Abs was associated with an increased risk of mortality as these auto-Abs were detected in 21% of patients who died from COVID-19 pneumonia. Deceased patients with and without auto-Abs did not present overt clinical differences. These results confirm both the importance of IFN-I immunity in host defense against SARS-CoV-2 infection and the usefulness of detection of auto-Abs neutralizing type I IFNs in the management of patients.

Identifiers

PMID34611657
PMCPMC8491850
OpenAlexW3203776186

What OpenQuestion holds

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Registered trials

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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.