A pilot study of lncRNAs expression profile in serum of progressive multiple sclerosis patients.

OBJECTIVE: Multiple Sclerosis (MS) is an inflammatory and neurodegenerative disease that affect both white and gray matter. The relapsing and the eventually progressive course of MS is heterogeneous; thus, a confident long-term 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.

The predictive value of CSF multiple assay in multiple sclerosis: A single center experience.

BACKGROUND: Multiple sclerosis (MS) is a chronic, immune-mediated, inflammatory, neurodegenerative disorder. Many studies are investigating the potential role of body fluid biomarkers as prognostic factors for early identification of patients presenting with clinical isolated syndrome (CIS) at high risk for conversion to MS or to recognize RRMS patients at high risk for progression. OBJECTIVES: To evaluate the correlation between levels of BAFF, chitinase 3-like 1 (CHI3L1), sCD163, Osteopontin (OPN), both on serum and cerebral spinal fluid (CSF), and the disease activity and progression. We also want to explore a possible relationship between serological and CSF biomarker's levels. PATIENTS AND METHODS: We enrolled 82 patients between June 2014 and June 2016. Seventy-one received a diagnosis of demyelinating disease of CNS (46 RRMS and 25 CIS), while 11 were affected by other neurological diseases. All patients underwent a neural axis MRI, lumbar puncture and blood samples. Levels of BAFF, CHI3L1, sCD163, OPN on serum and CSF were analyzed by Luminex xMAP system, with a kit 11-plex ad hoc. RESULTS: The CSF CHI3L1, sCD163 and OPN levels were significantly higher in MS patients than in controls. We did not find significant differences in serum CHI3L1, sCD163 and OPN levels, nor CSF or serum BAFF levels between patient and control groups. We found significantly higher CSF level of sCD163 and CHI3L1 in all patients' subgroups compared with controls, while OPN was higher in CIS and RR subgroups. We did not find significant differences for serum and CSF levels of all the markers between patients with or without clinical or radiological disease activity. CSF sCD163 and CHI3L1 levels was significant higher in CIS patients who converted to MS (p < 0.05). Using ROC curve analysis, CSF sCD163 resulted the best predictive factor. CSF CHI3L1 and OPN levels resulted useful independent predictors too. Combined ROCs of those three analytes demonstrated a better predictive value, with sCD163 and CHI3L1 resulting as the best combination. CONCLUSIONS: CSF sCD163 CHI3L1 and OPN levels were higher in MS patients whereas serum CHI3L1, sCD163 and OPN levels did not show differences compared with controls. This finding confirms the high CSF specificity with regards to the analysis of processes, inflammatory and non-inflammatory, that occur within the CNS.

Focal muscle vibration, an effective rehabilitative approach in severe gait impairment due to multiple sclerosis.

Gait impairment is one of the most frequent and life-altering consequences of Multiple sclerosis (MS), frequently associated with lower limb spasticity. Focal muscle vibration (fMV) is a technique that applies a vibratory stimulus to a specific muscle or its tendon, reducing spasticity. The aim of our study is to evaluate the efficacy of fMV in ameliorating gait impairment in MS patients with severe lower limb spasticity, measured by Gait Analysis (GA) and objective and patient-oriented scales scores. Fourteen patients affected by Secondary Progressive MS (SPMS) with a lower limb spasticity with a low or no response to antispastic drugs, received repetitive fMV (r-fMV) over the quadriceps and the lumbar paraspinal muscles. The effect of r-fMV on gait was measured by a GA evaluation and objective and patient-oriented scales scores, performed before r-fMV (T0), and 1week (T1) and 1month (T2) after the last session of r-fMV. After the r-fMV the most of spatio-temporal parameters calculated by GA were improved. Moreover, clinical evaluation related results showed an improvement of SM patients' quality of life. In conclusion, r-fMV improves gait function in MS patients affected by severe spasticity of lower limb, non-responsive to common oral antispastic drugs.

Depression in multiple sclerosis: effect of brain derived neurotrophic factor Val66Met polymorphism and disease perception.

BACKGROUND AND PURPOSE: Depression is common amongst subjects with multiple sclerosis (MS), and several investigations have explored different determinants of this condition, including physical disability, psychological and psychosocial factors. The brain derived neurotrophic factor (BDNF) Val66Met polymorphism has been associated with depression. The aim of this study was to analyze the influence of disease-related factors, BDNF Val66Met polymorphism and perception of disease on the severity of depression in MS. METHOD: In total, 136 MS patients (88 women) were recruited and genotyped for BDNF rs6265 polymorphism at nucleotide 196 (G/A) using 'high resolution melting'. Depressive symptoms were assessed by the Multiple Sclerosis Depression Rating Scale. Perception of health status was assessed using the SF-36 questionnaire. RESULTS: A multivariable linear regression model showed that the best predictors of depression were the SF-36 General health (ß = -0.209; P = 0.013), Mental health (ß = -0.410; P < 0.001) and Social activity (ß = -0.195; P = 0.035) scores; physical disability (assessed by the Extended Disability Status Scale score) was directly correlated to depression severity on univariate analysis, but it was not a relevant predictor of depression on multivariate analysis; other variables directly related to the disease (treatment, annual relapsing rate) and the BDNF Val66Met polymorphism were not significantly associated with depression. CONCLUSION: Perception of the health status is the principal predictor of depressive symptoms in our sample. This result supports the hypothesis that the subjective interpretation of the disease's consequences is one of the main factors in determining depression in MS.