ArticleJournal of translational autoimmunity2025
Splicing-based biomarkers define a robust multigene classifier for relapsing-remitting multiple sclerosis.
Article in Journal of translational autoimmunity, 2025. 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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Abstract
Background: Alternative splicing (AS) is recognized as a key mechanism in multiple sclerosis (MS). We aimed to construct and validate a multivariate AS-based classifier (MS-Splicing Score, MS-SS) for the discrimination of relapsing-remitting MS (RRMS) patients from healthy controls. Methods: Three AS events ( Results: The MS-SS distinguished RRMS patients from controls in both cohorts (Italy: p = 0.00083, AUC = 0.71, 95 %CI = 0.59-0.82; USA: p = 0.00074, AUC = 0.77, 95 %CI = 0.63-0.90). In the pooled dataset, the score remained significantly elevated in MS (p = 5.9 × 10 Conclusion: Our study introduces a novel, robust AS-based classifier for RRMS and proposes a strategy for transcriptome-based biomarker development in neuroimmunology. However, the relatively small sample sizes within each cohort may limit the generalizability of these findings, warranting larger validation studies to confirm the clinical utility of this biomarker.
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