Evidence map›Paper›PMID 36941652›Full record

ArticleRespiratory research2023

No increased prevalence of autoantibodies neutralizing type I IFNs in idiopathic pulmonary fibrosis patients.

Quentin Philippot, Paul Bastard, Anne Puel, Jean-Laurent Casanova, Aurélie Cobat, Cédric Laouénan, Coralie Tardivon, Bruno Crestani, Raphael Borie

Open access · goldFull text readLetter
In one paragraph

Article in Respiratory research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

9 authors at 7 institutions in 2 countries.

Quentin PhilippotLaboratory of Human Genetics of Infectious Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Necker Branch, Paris, France.
Paul BastardLaboratory of Human Genetics of Infectious Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Necker Branch, Paris, France.
Anne PuelLaboratory of Human Genetics of Infectious Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Necker Branch, Paris, France.
Jean-Laurent CasanovaLaboratory of Human Genetics of Infectious Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Necker Branch, Paris, France.
Aurélie CobatLaboratory of Human Genetics of Infectious Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Necker Branch, Paris, France.
Cédric LaouénanInserm, IAME, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.
Coralie TardivonDépartement d'Epidémiologie Biostatistiques et Recherche Clinique, AP-HP, Hôpital Bichat, Paris, France.
Bruno CrestaniService de Pneumologie A Hôpital Bichat, APHP, 46 Rue Henri Huchard, 75877, Paris CEDEX 18, France.
Raphael BorieService de Pneumologie A Hôpital Bichat, APHP, 46 Rue Henri Huchard, 75877, Paris CEDEX 18, France. raphael.borie@aphp.fr.
Inserm · FRUniversité Paris Cité · FRAssistance Publique – Hôpitaux de Paris · FRHôpital Bichat-Claude-Bernard · FRInstitut des Maladies Génétiques Imagine · FRRockefeller University · USSorbonne Paris Cité · FR

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
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
NCATS NIH HHS UL1 TR001866NCRR NIH HHS UL1 RR024143NIAID NIH HHS R01 AI088364NIAID NIH HHS R01 AI163029
6 · The paper itself

Abstract

SARS-CoV2 infection has a poor prognosis in patients affected of idiopathic pulmonary fibrosis (IPF). Autoantibodies (auto-Abs) neutralizing type I interferons (IFNs) are found in the blood of at least 15% of patients with life-threatening COVID-19 pneumonia. Because of the elevated prevalence of some auto-Abs in IPF patients, we hypothesize that the prevalence of auto-Abs neutralizing type I IFNs might be increased in the IPF population and then explained specific poor outcome after COVID-19. We screened the plasma of 247 consecutive IPF patients for the presence of auto-Abs neutralizing type I IFNs. Three patients displayed auto-Abs neutralizing type I IFNs. Among them, the only patient with documented SARS-CoV-2 infection experienced life threatening COVID-19 pneumonia. The prevalence of auto-Abs neutralizing type I IFNs in this cohort of IPF patients was not significantly different from the one of the general population. Overall, this study did not suggest any association between auto-Abs neutralizing type I IFNs and IPF.

Indexed as

COVID-19Idiopathic Pulmonary FibrosisInterferon Type IAutoantibodiesHumansPrevalenceRNA, ViralSARS-CoV-2AutoantibodiesInterferon Type IRNA, ViralAutoimmunityCOVID-19Idiopathic pulmonary fibrosis

Identifiers

PMID36941652
PMCPMC10025783
OpenAlexW4328049800

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read13
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.