Evidence map›Paper›PMID 40175402›Full record

ArticleScientific reports2025

Human type I interferons protect Vero E6 and ARPE-19 cells against West Nile virus and are neutralized by pathogenic autoantibodies.

Alessandro Ferrari, Irene Cassaniti, Francesca Rovida, Daniele Lilleri, Stefania Croce, Francesca Trespidi, Stefano Ghirardello, Adrian Gervais, Shen-Ying Zhang, Jean-Laurent Casanova and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Type I IFN autoantibodies underlie chikungunya live-attenuated vaccine encephalitis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
  5. Article
  6. West Nile virus unmasked: from gene variability to future challenges.Frontiers in cellular and infection microbiology · 2025
    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

12 authors.

Alessandro FerrariNational PhD Programme in One Health approaches to infectious diseases and life science research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
Irene CassanitiDepartment of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. i.cassaniti@smatteo.pv.it.
Francesca RovidaDepartment of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
Daniele LilleriMicrobiology and Virology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Stefania CroceUOSD Cell Factory, San Matteo Research Hospital, Pavia, Italy.
Francesca TrespidiNeonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Stefano GhirardelloNeonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Adrian GervaisLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Paris, France.
Shen-Ying ZhangLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Paris, France.
Jean-Laurent CasanovaLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale (INSERM) U1163, Necker Hospital for Sick Children, Paris, France.
Alessandro BorghesiNeonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Fausto BaldantiDepartment of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.

Funding

Ministero della Salute RC8048424NextGeneration EU-MUR PNRR Extended Partnership initiative on Emerging Infectious Diseases PE00000007, INF-ACT
6 · The paper itself

Abstract

Auto-antibodies (auto-Abs) that neutralize type I interferons (IFNs) have been implicated in severe viral infections, including ~ 40% of cases of West Nile virus (WNV) neuroinvasive disease (WNND). Developing robust in vitro models to evaluate the protective effects of type I IFNs against viral infection, as well as the disruptive effects of auto-Abs, is essential for understanding disease pathogenesis and identifying patients at risk. In this study, we used Vero E6 and ARPE-19 cell lines to investigate the ability of type I (IFN-α, IFN-β, IFN-ω), type II (IFN-γ), and type III (IFN-λ1) IFNs to restrict WNV infection. Our results demonstrate that IFN-α, IFN-β, and IFN-ω effectively protect ARPE-19 cells from WNV infection, with IFN-β exhibiting the strongest antiviral effect. In contrast, Vero E6 cells required higher concentrations of IFN-ω to achieve comparable protection. Neither IFN-γ nor IFN-λ1 conferred protection in either cell line. We further screened serum samples from WNV-infected patients for auto-Abs neutralizing type I IFNs. Our findings confirm that the ARPE-19-based assay is consistent with other established methods for detecting neutralizing auto-Abs against type I IFNs. This simple and reliable assay offers a valuable tool for assessing the antiviral effects of type I IFNs and the neutralizing activity of auto-Abs in both research and clinical settings. Future studies should aim to validate the clinical utility of the ARPE-19-WNV infection model on a larger scale.

Indexed as

Antibodies, NeutralizingAutoantibodiesInterferon Type IWest Nile FeverWest Nile virusAnimalsCell LineChlorocebus aethiopsHumansVero CellsAntibodies, NeutralizingAutoantibodiesInterferon Type IAuto-antibodyImmunityNeutralizing antibodyType I IFNsWNV

Identifiers

PMID40175402
PMCPMC11965296

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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.