Evidence map›Paper›PMID 40127048›Full record

ArticleClinical and experimental immunology2025

Type I interferon signature: a quantitative standardized method for clinical application.

Alessandra Tesser, Paola Bocca, Massimo Ulivi, Alessia Pin, Claudia Pastorino, Davide Cangelosi, Elettra Santori, Enrico Drago, Roberta Caorsi, Fabio Candotti and 3 more

Abstract read
In one paragraph

Article in Clinical and experimental immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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.

Alessandra TesserDepartment of Pediatrics, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.ORCID 0000-0001-6267-3794
Paola BoccaRheumatology and Autoinflammatory Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Massimo UliviTIB Molbiol Syntheselabor GmbH, Berlin, Germany.
Alessia PinDepartment of Pediatrics, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
Claudia PastorinoRheumatology and Autoinflammatory Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Davide CangelosiClinical Bioinformatics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Elettra SantoriDivision of Immunology and Allergy, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Enrico DragoRheumatology and Autoinflammatory Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Roberta CaorsiRheumatology and Autoinflammatory Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID 0000-0003-0131-7846
Fabio CandottiDivision of Immunology and Allergy, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0001-6399-6042
Marco GattornoRheumatology and Autoinflammatory Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID 0000-0003-0704-1916
Alberto TommasiniDepartment of Pediatrics, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
Stefano VolpiRheumatology and Autoinflammatory Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID 0000-0002-7129-868X

Funding

IRCCS Burlo Garofolo of TriesteIRCCS Istituto Giannina Gaslini of Genoa FIS 2021 grant 2235University of Genoa RC24/2017
6 · The paper itself

Abstract

Type I Interferon (IFN) induced gene expression analysis ("IFN signature") is employed to categorize pathological conditions that exhibit Type I IFN dysregulation and to direct customized therapeutic strategies. For instance, it is used to differentiate patients with IFN-related inflammation from those with conditions primarily mediated by other cytokines, such as juvenile idiopathic arthritis and periodic fevers. Nevertheless, there is currently no standardized method available for clinical practice, and comparing values at different time points or between centers poses a challenge. In this work, we described a standardized method based on the development and validation of a synthetic control to solve the problem of test comparison. Inter-assay and inter-laboratory variability were assessed by multiple repeated analyses within the same laboratory, and between two different laboratories involved in the study. The method has been validated by evaluating the IFN signature of 39 patients with inflammatory disorders known to be related or not to Type I IFN (i.e. monogenic interferonopathies, systemic lupus erythematosus, juvenile dermatomyositis, periodic fevers, and juvenile idiopathic arthritis). The proposed method proved to be highly reproducible among centers and able to discriminate among IFN-related or non-IFN-related inflammation. The use of a synthetic control minimized the inter-assay and inter-laboratory variability, and thus facilitate data sharing among centers to improve knowledge of IFN-related inflammation and patient's care.

Indexed as

Gene Expression ProfilingInflammationInterferon Type IArthritis, JuvenileChildFemaleHumansMaleReference StandardsReproducibility of ResultsInterferon Type Idata comparisoninterferon inflammationinterferon signaturepatient classificationstandardized method

Identifiers

PMID40127048
PMCPMC12023162

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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.