Evidence map›Paper›PMID 35728599›Full record

ArticleCell chemical biology2022

Identifying enhancers of innate immune signaling as broad-spectrum antivirals active against emerging viruses.

Ghizlane Maarifi, Marie-France Martin, Abderezak Zebboudj, Aude Boulay, Pierre Nouaux, Juliette Fernandez, Justine Lagisquet, Dominique Garcin, Raphael Gaudin, Nathalie J Arhel and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Betrixaban is a broad anti-virus inhibitor by activating innate immunity.Frontiers in cellular and infection microbiology · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Comprehensive analysis of the novel omicron receptor AXL in cancers.Computational and structural biotechnology journal · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Ghizlane MaarifiViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Marie-France MartinViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Abderezak ZebboudjViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Aude BoulayViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Pierre NouauxViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Juliette FernandezViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Justine LagisquetViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Dominique GarcinDepartment of Microbiology and Molecular Medicine, University of Geneva School of Medicine, CMU, 1211 Geneva 4, Switzerland.
Raphael GaudinMembrane Dynamics & Viruses, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France.
Nathalie J ArhelViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France. Electronic address: nathalie.arhel@irim.cnrs.fr.
Sébastien NisoleViral Trafficking, Restriction and Innate Signaling, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, 34090 Montpellier, France. Electronic address: sebastien.nisole@inserm.fr.
Centre National de la Recherche Scientifique · FRUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasingly frequent outbreaks of pathogenic viruses have underlined the urgent need to improve our arsenal of antivirals that can be deployed for future pandemics. Innate immunity is a powerful first line of defense against pathogens, and compounds that boost the innate response have high potential to act as broad-spectrum antivirals. Here, we harnessed localization-dependent protein-complementation assays (called Alpha Centauri) to measure the nuclear translocation of interferon regulatory factors (IRFs), thus providing a readout of innate immune activation following viral infection that is applicable to high-throughput screening of immunomodulatory molecules. As proof of concept, we screened a library of kinase inhibitors on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and identified Gilteritinib as a powerful enhancer of innate responses to viral infection. This immunostimulatory activity of Gilteritinib was found to be dependent on the AXL-IRF7 axis and results in a broad and potent antiviral activity against unrelated RNA viruses.

Indexed as

COVID-19Virus DiseasesAntiviral AgentsHumansImmunity, InnateSARS-CoV-2Antiviral Agentsbroad-spectrum antiviralsdrug screeningemerging virusesinnate immunityinterferon regulatory factorsSARS-CoV-2

Identifiers

PMID35728599
PMCPMC9213012
OpenAlexW4283164983

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.