Evidence mapPaperPMID 42353049Full record

ArticleInternational journal of molecular sciences2026

Integrative Transcriptomics Uncovers IFN-β Signature and IFITM3 as Putative Molecular Mediator in MS.

Alessandro Maglione, Rachele Rosso, Simona Rolla, Eleonora Virgilio, Marinella Clerico

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Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Alessandro MaglioneDepartment of Computer Science, University of Turin, 10124 Torino, Italy.ORCID 0000-0001-7153-2248
Rachele RossoDepartment of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy.ORCID 0000-0003-0573-3388
Simona RollaDepartment of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy.ORCID 0000-0002-6371-7354
Eleonora VirgilioDepartment of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy.ORCID 0000-0002-0045-3806
Marinella ClericoDepartment of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy.

Funding

University of Turin This research received funding from University of Turin/Ricerca Locale 2024.
6 · The paper itself

Abstract

Neuroinflammation in multiple sclerosis (MS) is driven by the infiltration of myelin-reactive T cells into the central nervous system (CNS). Interferon-β (IFN-β) is one of the earliest disease-modifying treatments (DMTs) approved for MS and remains widely used in special populations (pregnant and elderly patients) owing to its favorable safety profile. However, the exact mechanism of action of this drug and reliable biomarkers of treatment response remain unclear. Transcriptomic profiling and data integration approaches offer powerful tools for investigating complex patterns of regulation and molecular mechanisms underlying therapeutic efficacy. In this study, we performed an integrative analysis of openly available transcriptomic datasets to characterize IFN-β-induced gene expression changes in MS patients. By combining data from large independent cohorts, we identified a 43-gene transcriptional signature consistently associated with IFN-β treatment across disease stages, including progressive MS. To explore the relevance of this signature, we cross-referenced the 43-gene signature with publicly available expression quantitative trait loci (eQTL) datasets to determine whether these genes could be influenced by known MS-associated risk variants highlighting Interferon-Induced Transmembrane Protein 3 (IFITM3) as a candidate molecular mediator of MS. This integrative approach provides new insights into IFN-β-driven immune modulation and supports the development of therapeutic strategies for MS.

Indexed as

Interferon-betaMembrane ProteinsMultiple SclerosisRNA-Binding ProteinsTranscriptomeGene Expression ProfilingGene Expression RegulationHumansQuantitative Trait LociIFITM3 protein, humanInterferon-betaMembrane ProteinsRNA-Binding ProteinsbiomarkersEBVinterferon-betamultiple sclerosistranscriptomics

Identifiers

PMID42353049
PMCPMC13299371

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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 Socratic graph.