Evidence map›Paper›PMID 40242151›Full record

ArticleThe journal of allergy and clinical immunology. Global2025

Profiling type I and II interferon responses reveals distinct subgroups of pediatric patients with autoinflammatory disorders.

Anaïs Nombel, Magali Perret, Sophie Trouillet-Assant, Marine Villard, Christine Lombard, Lorna Garnier, Anne-Perrine Foray, Sarah Benezech, Remi Pescarmona, Samira Khaldi-Plassart and 3 more

Abstract read
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Anaïs NombelImmunology Laboratory, Hospices Civils de Lyon, Lyon Sud Hospital, Lyon, France.
Magali PerretImmunology Laboratory, Hospices Civils de Lyon, Lyon Sud Hospital, Lyon, France.
Sophie Trouillet-AssantThe International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
Marine VillardThe International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
Christine LombardImmunology Laboratory, Hospices Civils de Lyon, Lyon Sud Hospital, Lyon, France.
Lorna GarnierImmunology Laboratory, Hospices Civils de Lyon, Lyon Sud Hospital, Lyon, France.
Anne-Perrine ForayImmunology Laboratory, Hospices Civils de Lyon, Lyon Sud Hospital, Lyon, France.
Sarah BenezechThe International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
Remi PescarmonaImmunology Laboratory, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France.
Samira Khaldi-PlassartThe International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
Thierry WalzerThe International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
Alexandre BelotThe International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
Sébastien VielThe International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elevation of type I interferon (IFN-I) is characteristic of a group of diseases known as type I interferonopathies. Several technologies are available to monitor IFN-I, but there is no consensus on their routine use in medical laboratories. Objective: We aimed to compare the performance of two technologies for this purpose: NanoString, which monitors messenger RNA expression of interferon-stimulated genes (ISGs), and Simoa, which quantifies IFN-α2 protein in an ultrasensitive way. We also designed a NanoString assay to monitor type II ISGs and tested its value to discriminate clinical conditions. Methods: A total of 196 samples from patients with diseases associated or not with IFN-I pathway activation were analyzed by NanoString and Simoa. Results: The comparison between NanoString IFN-I score and IFN-α2 Simoa revealed a Conclusion: Both IFN-α2 quantification and NanoString reliably distinguish type I interferonopathies from other diseases. Type I and II interferons induce different transcriptomic signatures

Indexed as

IFN signatureInterferonopathyjuvenile idiopathic arthritislupusNanoStringSimoatype II interferontype I interferon

Identifiers

PMID40242151
PMCPMC12002218

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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.