ArticleClinical and experimental immunology2025
Type I interferon signature: a quantitative standardized method for clinical application.
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.
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Who cites it
5 citing papers in PubMed.
- Systemic Autoinflammatory Diseases: An Evolving Paradigm of Fevers Beyond Autoimmunity and Infections.Indian pediatrics · 2026Review
- Clinical Response to Baricitinib in Monogenic Lupus: Real-World Evidence from a Case Series of Seven Patients.Mediterranean journal of rheumatology · 2026Article
- Early diagnosis of serious bacterial infection in febrile infants using type I interferon signature.Pediatric research · 2026Article
- SAVI: molecular mechanisms, clinical spectrum and precision medicine approaches beyond type-I IFN.Frontiers in immunology · 2026Review
- Neurological Phenotypes of SOCS1 Haploinsufficiency: Insights from Functional and Histological Investigations.Journal of clinical immunology · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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.
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Registered trials
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