Kappa free light chains is a valid tool in the diagnostics of MS: A large multicenter study.

OBJECTIVE: To validate kappa free light chain (KFLC) and lambda free light chain (LFLC) indices as a diagnostic biomarker in multiple sclerosis (MS). METHODS: We performed a multicenter study including 745 patients from 18 centers (219 controls and 526 clinically isolated syndrome (CIS)/MS patients) with a known oligoclonal IgG band (OCB) status. KFLC and LFLC were measured in paired cerebrospinal fluid (CSF) and serum samples. Gaussian mixture modeling was used to define a cut-off for KFLC and LFLC indexes. RESULTS: The cut-off for the KFLC index was 6.6 (95% confidence interval (CI) = 5.2-138.1). The cut-off for the LFLC index was 6.9 (95% CI = 4.5-22.2). For CIS/MS patients, sensitivity of the KFLC index (0.88; 95% CI = 0.85-0.90) was higher than OCB (0.82; 95%CI = 0.79-0.85; p < 0.001), but specificity (0.83; 95% CI = 0.78-0.88) was lower (OCB = 0.92; 95% CI = 0.89-0.96; p < 0.001). Both sensitivity and specificity for the LFLC index were lower than OCB. CONCLUSION: Compared with OCB, the KFLC index is more sensitive but less specific for diagnosing CIS/MS. Lacking an elevated KFLC index is more powerful for excluding MS compared with OCB but the latter is more important for ruling in a diagnosis of CIS/MS.

John Cunningham virus conversion in relation to natalizumab concentration in multiple sclerosis patients.

BACKGROUND AND PURPOSE: Infection with the John Cunningham virus (JCV) is required for the development of progressive multifocal leukoencephalopathy, the feared complication of natalizumab treatment in multiple sclerosis patients. The JCV seroconversion rate seems higher in natalizumab treated patients than in the normal population, with an unknown cause. METHODS: Natalizumab concentration was correlated to JCV antibody status and seroconversion in a large cohort of multiple sclerosis patients. RESULTS: One hundred and thirty-five patients were included. No correlation was found between natalizumab concentration and JCV status, JCV seroconversion or JCV index. CONCLUSIONS: Higher natalizumab concentrations do not explain the increased JCV seroconversion rate in natalizumab treated patients.

Acid sphingomyelinase: No potential as a biomarker for multiple sclerosis.

BACKGROUND: Multiple sclerosis (MS) lacks reliable biomarkers that reflect disease activity. Recent evidence suggests that an altered sphingolipid metabolism is associated with MS pathogenesis. OBJECTIVE: To explore acid sphingomyelinase (ASM) activity and altered sphingolipid metabolism as potential biomarkers in serum of MS patients, to predict active and progressive disease, and response to disease modifying therapy (DMT). METHODS: Levels of serum ASM activity were longitudinally analyzed in 40 clinically isolated syndrome, 64 relapsing remitting (RR) and 10 primary progressive MS patients, and 22 healthy controls (HC). ASM activity and sphingolipid levels were measured in a different sample of 61 RRMS patients using DMT. RESULTS: A significant difference in ASM activity levels was observed between MS patients and HC (p < 0.001). There was no correlation between ASM activity levels and disease activity, progression or response to DMT. Ceramide (Cer)-C16:0 , Cer-C24:0 and sphingomyelin (SM)-C20:0, SM-C22:0, SM-C24:0 and SM-C24:1 showed a significant increase during fingolimod use. CONCLUSION: Although higher levels in MS patients were found, ASM activity levels do not show potential as a biomarker for predicting disease activity, progression or response to DMT. Two ceramides and four types of sphingomyelin require further investigation as potential markers for treatment response.

Long-term disease activity and disability progression in relapsing-remitting multiple sclerosis patients on natalizumab.

BACKGROUND: Natalizumab is an effective treatment for relapsing-remitting multiple sclerosis (RRMS). Data on clinical and imaging measures predictive of disease activity and progression during treatment is limited. OBJECTIVE: To determine clinical and imaging predictors of long-term inflammatory disease activity and disability progression in RRMS patients on natalizumab. METHODS: Patients (n = 135) were selected from our prospective observational natalizumab cohort and monitored using brain MRI and extensive clinical testing. Progression and improvement on the Expanded Disability Status Scale (EDSS), no evidence of disease activity (NEDA) and no evidence of progression or active disease (NEPAD) status were determined using measurements after the initial phase of inflammation and the early anti-inflammatory impact of natalizumab. RESULTS: EDSS progression was seen in 43.7% of patients and EDSS improvement in 17.8%. Median follow-up was 4.9 years (IQR 3.6-6.0). Patients with a longer disease duration at natalizumab initiation have a higher hazard for earlier EDSS progression (HR 1.05, CI 1.00-1.09, p = 0.037) and a higher pre-baseline relapse rate predicted a longer NEPAD status (HR 1.70, CI 1.06-2.72, p = 0.028). CONCLUSION: The results suggest that starting natalizumab early, during active inflammatory disease results in a more favourable outcome. When taking into account early inflammation and the impact of natalizumab on disease activity during the initial treatment phase, a higher than expected proportion of patients showed disability progression.

Information processing speed in multiple sclerosis: Relevance of default mode network dynamics.

Objective: To explore the added value of dynamic functional connectivity (dFC) of the default mode network (DMN) during resting-state (RS), during an information processing speed (IPS) task, and the within-subject difference between these conditions, on top of conventional brain measures in explaining IPS in people with multiple sclerosis (pwMS). Methods: In 29 pwMS and 18 healthy controls, IPS was assessed with the Letter Digit Substitution Test and Stroop Card I and combined into an IPS-composite score. White matter (WM), grey matter (GM) and lesion volume were measured using 3 T MRI. WM integrity was assessed with diffusion tensor imaging. During RS and task-state fMRI (i.e. symbol digit modalities task, IPS), stationary functional connectivity (sFC; average connectivity over the entire time series) and dFC (variation in connectivity using a sliding window approach) of the DMN was calculated, as well as the difference between both conditions (i.e. task-state minus RS; ΔsFC-DMN and ΔdFC-DMN). Regression analysis was performed to determine the most important predictors for IPS. Results: Compared to controls, pwMS performed worse on IPS-composite (p = 0.022), had lower GM volume (p < 0.05) and WM integrity (p < 0.001), but no alterations in sFC and dFC at the group level. In pwMS, 52% of variance in IPS-composite could be predicted by cortical volume (ß = 0.49, p = 0.01) and ΔdFC-DMN (ß = 0.52, p < 0.01). After adding dFC of the DMN to the model, the explained variance in IPS increased with 26% (p < 0.01). Conclusion: On top of conventional brain measures, dFC from RS to task-state explains additional variance in IPS. This highlights the potential importance of the DMN to adapt upon cognitive demands to maintain intact IPS in pwMS.