Exploring miRNAs' Based Modeling Approach for Predicting PIRA in Multiple Sclerosis: A Comprehensive Analysis

• Published in: International journal of molecular sciences Vol. 25; no. 12; p. 6342
• Main Authors: Gosetti di Sturmeck, Tommaso, Malimpensa, Leonardo, Ferrazzano, Gina, Belvisi, Daniele, Leodori, Giorgio, Lembo, Flaminia, Brandi, Rossella, Pascale, Esterina, Cattaneo, Antonino, Salvetti, Marco, Conte, Antonella, D'Onofrio, Mara, Arisi, Ivan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.06.2024; MDPI
• Subjects: Adult; B cells; Biomarkers; Cohort Studies; Disability; Disease Progression; Ethylenediaminetetraacetic acid; Evidence-based medicine; Female; Gene Expression Profiling - methods; Humans; Inflammation; Instrument industry; Leukocytes, Mononuclear - metabolism; Male; Medical prognosis; MicroRNA; MicroRNAs; MicroRNAs - genetics; Middle Aged; miRNA; modeling approach; Multiple sclerosis; Multiple Sclerosis - genetics; Multiple Sclerosis - pathology; Multiple Sclerosis, Relapsing-Remitting - genetics; Nervous system; Neurodegeneration; Patients; progression independent of relapse activity (PIRA); Recurrence; Spinal cord; United States; progression independent of relapse activity (PIRA); miRNA; multiple sclerosis; modeling approach

The current hypothesis on the pathophysiology of multiple sclerosis (MS) suggests the involvement of both inflammatory and neurodegenerative mechanisms. Disease Modifying Therapies (DMTs) effectively decrease relapse rates, thus reducing relapse-associated disability in people with MS. In some patie...