ObjectiveGray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS.MethodsWe analyzed 3,604 brain high‐resolution T1‐weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing‐remitting [RRMS], 128 secondary‐progressive [SPMS], and 125 primary‐progressive [PPMS]), over an average follow‐up of 2.41 years (standard deviation [SD] = 1.97), and 203 healthy controls (HCs; average follow‐up = 1.83 year; SD = 1.77), attending seven European centers. Disability was assessed with the Expanded Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem, and cerebral white matter. Hierarchical mixed models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time‐to‐EDSS progression.ResultsSPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time‐to‐EDSS progression (hazard ratio = 0.73; 95% confidence interval, 0.65, 0.82; p < 0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow‐up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (–1.45%), PPMS (–1.66%), and RRMS (–1.34%) than CIS (–0.88%) and HCs (–0.94%; p < 0.01). The rate of temporal GM atrophy in SPMS (–1.21%) was significantly faster than RRMS (–0.76%), CIS (–0.75%), and HCs (–0.51%). Similarly, the rate of parietal GM atrophy in SPMS (–1.24‐%) was faster than CIS (–0.63%) and HCs (–0.23%; all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta = 0.04; p < 0.001).InterpretationThis large, multicenter and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions. Ann Neurol 2018;83:210–222

See Stankoff and Louapre (doi:) for a scientific commentary on this article.Grey matter atrophy in multiple sclerosis affects certain areas preferentially. Eshaghi et al. use a data-driven computational model to predict the order in which regions atrophy, and use this sequence to stage patients. Atrophy begins in deep grey matter nuclei and posterior cortical regions, before spreading to other cortical areas.

Objective:To evaluate the immune-specific response after the full SARS-CoV-2 vaccination of multiple sclerosis (MS) patients treated with different Disease Modifying drugs by the detection of both serological- and T-cell responses.Methods:Health care workers (HCWs) and MS patients, having completed the two-dose schedule of an mRNA-based vaccine against SARS-CoV-2 in the last 2-4 weeks, were enrolled from two parallel prospective studies conducted in Rome, Italy, at the National Institute for Infectious diseases Spallanzani–IRCSS and San Camillo Forlanini Hospital. Serological response was evaluated by quantifying the Region-Binding-Domain (RBD) and neutralizing-antibodies. Cell-mediated response was analyzed by a whole-blood test quantifying interferon (IFN)-γ response to spike peptides. Cells responding to spike stimulation were identified by FACS analysis.Results:We prospectively enrolled 186 vaccinated individuals: 78 HCWs and 108 MS patients. Twenty-eight MS patients were treated with IFN-β, 35 with fingolimod, 20 with cladribine, and 25 with ocrelizumab. A lower anti-RBD-antibody response rate was found in patients treated with ocrelizumab (40%, p<0.0001) and fingolimod (85.7%, p=0.0023) compared to HCWs and patients treated with cladribine or IFN-β. Anti-RBD-antibody median titer was lower in patients treated with ocrelizumab (p<0.0001), fingolimod (p<0.0001) and cladribine (p=0.010) compared to HCWs and IFN-β-treated patients. Importantly, serum neutralizing activity was present in all the HCWs tested and only in a minority of the fingolimod-treated patients (16.6%). T-cell-specific response was detected in the majority of MS patients (62%), albeit with significantly lower IFN-γ levels compared to HCWs. The lowest frequency of T-cell response was found in fingolimod-treated patients (14.3%). T-cell-specific response correlated with lymphocyte count and anti-RBD antibody titer (rho=0.554, p<0.0001 and rho=0.255, p=0.0078 respectively). Finally, IFN-γ T-cell response was mediated by both CD4+ and CD8+ T cells.Conclusion:mRNA vaccines induce both humoral and cell-mediated specific immune responses against spike peptides in all HCWs and in the majority of MS patients. These results carry relevant implications for managing vaccinations suggesting to promote vaccination in all treated MS patients.Classification of Evidence:This study provides Class III data that COVID mRNA vaccination induces both humoral and cell-mediated specific immune responses against viral spike proteins in a majority of MS patients.

It has long been known that multiple sclerosis (MS) is associated with an increased Epstein-Barr virus (EBV) seroprevalence and high immune reactivity to EBV and that infectious mononucleosis increases MS risk. This evidence led to postulate that EBV infection plays a role in MS etiopathogenesis, although the mechanisms are debated. This study was designed to assess the prevalence and magnitude of CD8+ T-cell responses to EBV latent (EBNA-3A, LMP-2A) and lytic (BZLF-1, BMLF-1) antigens in relapsing-remitting MS patients (n = 113) and healthy donors (HD) (n = 43) and to investigate whether the EBV-specific CD8+ T cell response correlates with disease activity, as defined by clinical evaluation and gadolinium-enhanced magnetic resonance imaging. Using HLA class I pentamers, lytic antigen-specific CD8+ T cell responses were detected in fewer untreated inactive MS patients than in active MS patients and HD while the frequency of CD8+ T cells specific for EBV lytic and latent antigens was higher in active and inactive MS patients, respectively. In contrast, the CD8+ T cell response to cytomegalovirus did not differ between HD and MS patients, irrespective of the disease phase. Marked differences in the prevalence of EBV-specific CD8+ T cell responses were observed in patients treated with interferon-β and natalizumab, two licensed drugs for relapsing-remitting MS. Longitudinal studies revealed expansion of CD8+ T cells specific for EBV lytic antigens during active disease in untreated MS patients but not in relapse-free, natalizumab-treated patients. Analysis of post-mortem MS brain samples showed expression of the EBV lytic protein BZLF-1 and interactions between cytotoxic CD8+ T cells and EBV lytically infected plasma cells in inflammatory white matter lesions and meninges. We therefore propose that inability to control EBV infection during inactive MS could set the stage for intracerebral viral reactivation and disease relapse.

Objective During the natural course of multiple sclerosis (MS), the brain is exposed to aging as well as disease effects. Brain aging can be modeled statistically; the so‐called “brain‐age” paradigm. Here, we evaluated whether brain‐predicted age difference (brain‐PAD) was sensitive to the presence of MS, clinical progression, and future outcomes. Methods In a longitudinal, multicenter sample of 3,565 magnetic resonance imaging (MRI) scans, in 1,204 patients with MS and clinically isolated syndrome (CIS) and 150 healthy controls (mean follow‐up time: patients 3.41 years, healthy controls 1.97 years), we measured “brain‐predicted age” using T1‐weighted MRI. We compared brain‐PAD among patients with MS and patients with CIS and healthy controls, and between disease subtypes. Relationships between brain‐PAD and Expanded Disability Status Scale (EDSS) were explored. Results Patients with MS had markedly higher brain‐PAD than healthy controls (mean brain‐PAD +10.3 years; 95% confidence interval [CI] = 8.5–12.1] versus 4.3 years; 95% CI = 2.1 to 6.4; p < 0.001). The highest brain‐PADs were in secondary‐progressive MS (+13.3 years; 95% CI = 11.3–15.3). Brain‐PAD at study entry predicted time‐to‐disability progression (hazard ratio 1.02; 95% CI = 1.01–1.03; p < 0.001); although normalized brain volume was a stronger predictor. Greater annualized brain‐PAD increases were associated with greater annualized EDSS score (r = 0.26; p < 0.001). Interpretation The brain‐age paradigm is sensitive to MS‐related atrophy and clinical progression. A higher brain‐PAD at baseline was associated with more rapid disability progression and the rate of change in brain‐PAD related to worsening disability. Potentially, “brain‐age” could be used as a prognostic biomarker in early‐stage MS, to track disease progression or stratify patients for clinical trial enrollment. ANN NEUROL 2020 ANN NEUROL 2020;88:93–105

Background:Understanding long-term disability in multiple sclerosis (MS) is a key goal of research; it is relevant to how we monitor and treat the disease.Objectives:The Magnetic Imaging in MS (MAGNIMS) collaborative group sought to determine the relationship of brain lesion load, and brain and spinal cord atrophy, with physical disability in patients with long-established MS.Methods:Patients had a magnetic resonance imaging (MRI) scan of their brain and spinal cord, from which we determined brain grey (GMF) and white matter (WMF) fractional volumes, upper cervical spinal cord cross-sectional area (UCCA) and brain T2-lesion volume (T2LV). We assessed patient disability using the Expanded Disability Status Scale (EDSS). We analysed associations between EDSS and MRI measures, using two regression models (dividing cohort by EDSS into two and four sub-groups).Results:In the binary model, UCCA (p < 0.01) and T2LV (p = 0.02) were independently associated with the requirement of a walking aid. In the four-category model UCCA (p < 0.01), T2LV (p = 0.02) and GMF (p = 0.04) were independently associated with disability.Conclusions:Long-term physical disability was independently linked with atrophy of the spinal cord and brain T2 lesion load, and less consistently, with brain grey matter atrophy. Combinations of spinal cord and brain MRI measures may be required to capture clinically-relevant information in people with MS of long disease duration.

Specialized pro-resolving lipid mediators are differentially altered in peripheral blood of patients with multiple sclerosis and attenuate monocyte and blood-brain barrier dysfunction.

UK MS Society, National Institute for Health Research University College London Hospitals Biomedical Research Centre, Dutch MS Research Foundation.