Abstract
OBJECTIVE: Multiple Sclerosis (MS) is an inflammatory and neurodegenerative disease t hat affect both white and gray matter. The relapsing and the eventually progressive course of MS is heterogeneous; thus, a confident longterm prediction of individual prognosis is not possible yet. Recent studies have demonstrated the role of long non-coding RNA (lncRNAs) as potential biomarkers that could provide information to predict disease activity and progression.PATIENTS AND METHODS: By qRT-PCR, we analysed the lncRNAs expression in the serum of 16 secondary progressive MS (SP-MS), 12 primary progressive (PP-MS) patients and 8 healthy controls.RESULTS: We found that TUG1 was upregulated in SP-MS, while the comparison of PP-MS vs. controls showed a downregulation of non-protein coding RNA 188 (LRRC75A-AS1) and a significant upregulation of two lncRNAs: long intergenic non-protein coding RNA 293 (LINC00293) and RP11-29G8.3. Moreover, we performed an in-silico analysis using DIANA-LncBase v2 and HMDD v3.0 software, in order to predict the possible interaction of these four lncRNAs with miRNAs. We identified 21 miRNAs prediction targets possibly involved in MS.CONCLUSIONS: Our data indicate a regulatory function of these lncRNAs in autoimmune and inflammatory processes related to MS suggesting their potential role in progressive MS pathogenesis.
Original language | English |
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Pages (from-to) | 3267-3273 |
Number of pages | 7 |
Journal | European Review for Medical and Pharmacological Sciences |
Volume | 24 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Autoimmunity
- Long non-coding RNA
- Multiple sclerosis