Authors
Ali Rajabi, Jeffrey D Gross, Ali Samadi
Published in
International journal of genomics. Volume 2026. Pages 7231094. Epub Sep 19, 2026.
Abstract
Multiple sclerosis (MS) is a neurodegenerative and inflammatory disease affecting gray and white matter in the brain. Due to the highly variable presentation of MS, making a reliable long-term diagnosis based solely on initial clinical findings is extremely challenging. Long noncoding RNAs (lncRNAs) have been shown in recent research to have a role as prospective biomarkers that may offer data to forecast the onset and course of disease.
A total of 100 healthy controls and 120 MS patients with 98 relapsing-remitting (RR), 10 primary progressive (PP), and 12 secondary progressive (SP) cases were included in the blood sample collection. Gene expression was assessed with quantitative real-time PCR. The receiver operating characteristic (ROC) curve analysis was employed to evaluate the potential for diagnostic analysis of lncRNA levels.
The expressions of IFNG-AS1 and UCHL1-AS1 were found to be significantly decreased (p < 0.0001) in patients compared to the control group. After adjustment for age using ANCOVA, IFNG-AS1 expression remained significantly lower in MS patients than in healthy controls (p < 0.0001). IFNG-AS1 may be considered a potential biomarker for MS diagnosis (AUC = 0.838).
IFNG-AS1 demonstrates promising diagnostic potential for MS, whereas UCHL1-AS1 shows only modest discriminatory value. However, these findings are preliminary and require further validation with functional studies to confirm clinical utility.
PMID:
42763619
Bibliographic data and abstract were imported from PubMed on 20 Sep 2026.
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