INTRODUCTION/AIMS:Chronic inflammatory demyelinating polyneuropathy (CIDP) is a rare disorder of the nervous system that detrimentally influences health-related quality of life (HRQoL). Evidence regarding factors influencing HRQoL in CIDP is scarce. The present study aimed to evaluate the health status of CIDP patients using instruments that assess multiple domains of HRQoL and to identify predictors of HRQoL in a large sample of German patients. METHODS:102 patients with CIDP - according to the criteria of the European Academy of Neurology/Peripheral Nerve Society - were recruited between January 2013 and June 2014 from specialized neuroimmunology clinics. Response variables were the global and domain scores of the European Quality of Life-5 Dimensions 3 Level Version (EQ-5D) instrument and the World Health Organization quality of life instrument (WHOQOL). Regressor variables included the use of intravenous immunoglobulin, the use of systemic corticosteroids, sex, age, disease duration, depression, comorbidities, cognition, and sensory deficits. A control group was not assessed; unmatched normative data derived from published sources served as comparison data. RESULTS:Compared to healthy population norms, HRQoL was lower among CIDP patients, with a mean EQ-5D index score of 0.68 (SD: 0.43) and mean visual analogue scale score of 53.8 (SD: 21.4). The lowest WHOQOL scores were found in the physical (M: 55.6, SD: 17.9) and global (M: 47.6, SD: 17.5) domains. Depression was identified as the most consistent correlate of HRQoL, with p < 0.01 across all dimensions. DISCUSSION:HRQoL is reduced in CIDP patients. Adjunct treatment of depression shows encouraging potential as a therapeutic approach to enhance HRQoL.

Importance:Capturing individual multiple sclerosis (MS) progression is difficult; few studies have evaluated glial fibrillary acidic protein (GFAP) in large longitudinal cohorts with independent validation. Objective:To investigate whether serum GFAP levels and treatment-related changes are associated with future progression independent of relapse activity (PIRA). Design, Setting, and Participants:This was a prospective observational study using 2 large MS cohorts: the Swiss MS Cohort (SMSC; initiated in June 2012; data extraction September 22, 2025) and the Expression, Proteomics, Imaging, Clinical study (EPIC; initiated in July 2004; data extraction February 21, 2024). The study took place at tertiary MS centers (8 for SMSC and 1 for EPIC). A total of 2329 persons with MS from both cohorts with at least 1 available time point with neurofilament light chain (NfL) and GFAP measurements were included (overall 18 629 measurements). Exposures:Clinical data and NfL and GFAP z scores, collected and calculated every 6 or 12 months. Main Outcomes and Measures:Risk of future PIRA, defined as Expanded Disability Status Scale score worsening confirmed after 6 or more months without relapses (in SMSC), or a composite additionally including greater than 20% worsening in the 9-hole peg test or timed 25-ft walk test (in EPIC). Results:The SMSC and EPIC cohorts consisted of 1709 (13 375 samples; median [IQR] follow-up, 6.9 [2.5-10.7] years and age, 40.6 [32.1-50.1] years; 1128 [66.0%] female) and 620 (5254 samples; median [IQR] follow-up, 13.1 [9.4-14.0] years and age, 42.0 [35.0-50.0] years; 432 [69.7%] female) persons with MS, respectively. Consistent with prior work, high NfL was associated with relapse risk within the next year, whereas high GFAP was associated with long-term PIRA risk. In addition, elevated GFAP (z score >1.0 [84th percentile]) was associated with an average 40% higher hazard of short-term PIRA in the subsequent visit interval (SMSC: median [IQR] 346 [190-375] days; hazard ratio [HR], 1.45, 95% CI, 1.21-1.75; P < .001; EPIC: 385 [355-518] days; HR, 1.36; 95% CI, 1.07-1.71; P = .01). GFAP-based cohort enrichment in clinical trials targeting PIRA as an end point could reduce sample size by approximately 20%. Further, in SMSC, every yearly GFAP z score unit reduction during the first 2 years receiving fingolimod or B-cell-depleting therapy was associated with a lower risk of subsequent PIRA (54% risk reduction; HR, 0.46; 95% CI, 0.26-0.84; P = .01 and 67% risk reduction; HR, 0.33; 95% CI, 0.18-0.61; P < .001), respectively. Conclusions and Relevance:In this cohort study, elevated GFAP was associated with a higher risk of PIRA, while treatment-associated reductions were associated with a lower PIRA risk. Together, these results suggest that serum GFAP may serve as a biomarker for personalized risk stratification and treatment monitoring and as a screening tool to reduce cohort size in clinical trials targeting MS progression.

In multiple sclerosis (MS) patients under therapy, the increase of serum glial fibrillary acidic protein (sGFAP) concentrations is associated with the course of 'progression in absence of relapse' (PIRA). While serum neurofilament light chain (sNfL) reflects both response as well as insufficient or lack of efficiency of disease-modifying therapies (DMT), the longitudinal course of sGFAP levels as a drug response marker for future PIRA in relation to specific types of DMT is less clear. We aimed to compare the predictive capacity of sGFAP and sNfL for PIRA and relapse activity and the longitudinal course in people with MS (PwMS) treated with fingolimod, based on Z scores derived from normative values. Overall, 420 PwMS under fingolimod treatment with follow-up of 9.1 years (interquartile range: 7.0-11.0) from the Swiss MS Cohort, contributing 2935 longitudinal serum samples, were included. A reference data set for sGFAP established from 4297 healthy controls across three European and North American cohorts was used to calculate Z scores. The longitudinal course and the predictive capacity of biomarkers for time to PIRA and relapse were assessed by Cox proportional hazards and linear mixed-effects models. In controls, sGFAP concentrations were 13.6% higher in females than males and increased exponentially with age. Altogether, 31.0% of PwMS experienced ≥1 PIRA event. Elevated sGFAP Z scores (>0.75) were associated with increased risk of PIRA [hazard ratio (HR): 1.64; 95% confidence interval (CI): 1.16-2.32; P = 0.006], while this was not the case for sNfL. Conversely, elevated sNfL predicted relapses (HR: 1.58; 95% CI: 1.13-2.23; P = 0.008), while sGFAP did not. Both biomarkers decreased under treatment: sGFAP by 0.19 Z score units (ZSU)/10 years (95% CI: -0.27 to -0.11; P < 0.001) and sNfL by 0.16 ZSU/10 years (95% CI: -0.27 to -0.06; P = 0.002). Serum GFAP remained elevated in PwMS with future PIRA events (estimate: 0.29; 95% CI: 0.07-0.50; P = 0.009); no such association was found for sNfL. Serum GFAP and sNfL Z scores provide complementary predictive capacity for PIRA and relapse risk. The decrease of sGFAP under fingolimod is a feature not observed with other types of DMT and may hint to a specific anti-neurodegenerative effect of Sphingosine-1-phosphate-receptor modulators on astrocytes.

Ocrelizumab therapy depletes circulating CD20+ lymphocytes. To characterize adaptive immune changes, we analyzed blood B- and T cell receptor repertoires of 35 multiple sclerosis (MS) patients before and alongside ocrelizumab therapy, compared to 11 healthy donors and 14 MS patients alongside natalizumab therapy, as well as cerebrospinal fluid and blood single-cell transcriptomics of 29 donors. Tissue-resident memory cells in cerebrospinal fluid revealed MS4A1 gene expression and initial therapy-resistance. Depletion of CD20+ T cells was evident in highly expanded T-cell receptor beta chain and Vd2+ T-cell receptor delta chain clonotypes. Peripheral immunoglobulin heavy chain repertoires six months after initial depletion showed a bimodal patient distribution with either few B cells with high levels of somatic hypermutation, and comparatively high-sequence overlap with baseline samples, consistent with incomplete depletion of differentiated B cells or higher numbers of less differentiated B cells, indicating reconstitution from germline. Future studies will have to show how the identified phenotypes could be involved in MS pathology.

BACKGROUND:Abnormalities in speech are well-documented in people with multiple sclerosis (pwMS). Recent studies focused mainly on acoustic measures, limiting the range of speech features analyzed. The aim of this study is to include both acoustic and linguistic features and evaluate their relationship with cardinal symptoms of multiple sclerosis (MS). METHODS:In a prospective study, speech of N = 282 native German speakers (145 healthy controls (HCs) and 137 pwMS) was recorded at the University Clinic Dresden. Participants completed an extensive speech protocol, comprising narrative, articulatory, and phonatory tasks. Speech was analyzed using the SIGMA speech features library. RESULTS:Differences in pwMS compared with HCs were evident in instabilities in phonation and articulation (i.e. jitter: H = 8.17, p = 0.04, d = 0.33; standard deviation of loudness: H = 14.17, p = 0.01, d = 0.45) during narrative speech tasks with high cognitive load. Speech abnormalities correlated with the Expanded Disability Status Scale (i.e. jitter: r = 0.25, p < 0.01; loudness peaks: r = 0.26, p < 0.01). CONCLUSION:Phonatory instabilities, changes in pitch and loudness, and reduced speech time are associated with disease severity, motor and cognitive symptoms. Speech parameters related to motor functions are influenced by cognitively demanding tasks, suggesting an interaction between functions.

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS). Self-peptide-dependent autoproliferation (AP) of B and T cells is a key mechanism in MS. Here, we show that pro-inflammatory B-T cell-enriched cell clusters (BTECs) form during AP and mirror features of a germinal center reaction. T-bet+CXCR3+ B cells are the main cell subset amplifying and sustaining their counterpart Th1 cells via interferon (IFN)-γ and are present in highly inflamed meningeal tissue. The underlying B cell activation signature is reflected by epigenetic modifications and receptor-ligand interactions with self-reactive T cells. AP+ CXCR3+ B cells show marked clonal evolution from memory to somatically hypermutated plasmablasts and upregulation of IFN-γ-related genes. Our data underscore a key role of T-bet+CXCR3+ B cells in the pathogenesis of MS in both the peripheral immune system and the CNS compartment, and thus they appear to be involved in both early relapsing-remitting disease and the chronic stage.

BACKGROUND AND OBJECTIVES:Intrathecal synthesis of immunoglobulin G (IgG) is a key feature of multiple sclerosis (MS) and a prognostic marker for the disease course. Although previous studies identified 2 genetic regions-the major histocompatibility complex (MHC) region on chromosome 6 and the immunoglobulin heavy chain constant (IGHC) locus on chromosome 14-associated with intrathecal IgG synthesis in MS, the genetic underpinnings remain insufficiently understood. METHODS:We conducted a genome-wide association study on intrathecal IgG synthesis using the IgG index to identify individuals with (≥0.7) or without (<0.7) quantitative intrathecal synthesis. We used logistic regression models adjusting for sex, age, and population structure. We performed secondary analyses to examine associations between identified loci and the extent of intrathecal IgG synthesis and the presence and extent of intrathecal immunoglobulin A and M synthesis. We further conducted association analyses for imputed human leukocyte antigen alleles and analyzed whether a higher genetic burden for MS risk-quantified through polygenic risk scores-is associated with intrathecal IgG synthesis. RESULTS:In the discovery cohort (n = 3,934), we identified a novel genome-wide significant association of the intronic variant rs844586 (p = 1.48 × 10-8) in the sterile alpha motif domain containing 5 (SAMD5) gene on chromosome 6, with intrathecal IgG synthesis. We could confirm this association in a replication cohort (n = 1,094) and demonstrated that it is independent of a previously described association signal at the MHC region. In a subset (n = 1,413), we further identified rs1407 as a potential causal variant (p = 3.80 × 10-11, posterior inclusion probability = 0.92) for the previously reported association signal at the IGHC locus with the extent of intrathecal IgG synthesis. In addition, we demonstrated that a higher genetic burden for MS susceptibility, both within and outside of the MHC region, is associated with a higher likelihood of and a more pronounced intrathecal IgG synthesis. DISCUSSION:Our study revealed a previously unknown association between an intronic variant in SAMD5 with intrathecal IgG synthesis and identified a potential causal variant within the IGHC locus. It further provides evidence for possible effects of known MS risk variants on disease severity through their effect on the intrathecal humoral immune response, a prognostic marker for the disease course.

ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy. Methods Observational cohort study including the first serum sample of participants after the start of fingolimod therapy. We estimated hazard ratios for future relapses comparing participants with high (upper quartile) versus lower neurofilament light chain levels, based on either absolute concentration or Z score cutoffs. We compared the prognostic/predictive performance of these two measures for the occurrence of new/enlarging T2w lesions in longitudinal MRI. Results We included 447 participants (median [IQR] age, 41.3 [32.1–49.2] years; 65.1% female); median follow‐up 8.3 years [6.0–10.3]. Participants with a high neurofilament light chain Z score ( Z ≥ 1.2/88.5 percentile) were more likely to experience future relapses (HR: 1.80, 95% CI 1.27–2.54, p < 0.001) compared to those below this threshold while this dichotomy could not be demonstrated with absolute concentration cutoffs (≥ vs. < 10.8 pg/mL; HR: 0.94, 95% CI 0.64–1.38, p = 0.75). Furthermore, patients with upper quartile Z scores were associated with a higher incidence of new/enlarging T2w lesions compared with those below this threshold (OR: 1.88, 95% CI 1.31–2.70, p < 0.001); again, absolute concentration cutoffs failed to identify this risk (OR: 1.20, 95% CI 0.82–1.77, p = 0.34). These findings were confirmed when patients having started alternative oral treatments were also included ( n = 713). Interpretation Serum neurofilament light chain Z scores consistently outperformed absolute concentration cutoffs for prognostication of clinical/radiological disease activity and may facilitate individual prediction of treatment response.

Multiple sclerosis (MS) is a complex genetically mediated autoimmune disease of the central nervous system where anti-CD20-mediated B cell depletion is remarkably effective in the treatment of early disease. While previous studies investigated the effect of B cell depletion on select immune cell subsets using flow cytometry-based methods, the therapeutic impact on patient immune landscape is unknown. In this study, we explored how a therapy-driven " in vivo perturbation " modulates the diverse immune landscape by measuring transcriptomic granularity with single-cell RNA sequencing (scRNAseq). We demonstrate that B cell depletion leads to cell type-specific changes in the abundance and function of CSF macrophages and peripheral blood monocytes. Specifically, a CSF-specific macrophage population with an anti-inflammatory transcriptomic signature and peripheral CD16 + monocytes increased in frequency post-B cell depletion. In addition, we observed increases in TNFα messenger RNA and protein in monocytes post-B cell depletion, consistent with the finding that anti-TNFα treatment exacerbates autoimmune activity in MS. In parallel, B cell depletion also induced changes in peripheral CD4 + T cell populations, including increases in the frequency of TIGIT + regulatory T cells and marked decreases in the frequency of myelin peptide loaded-tetramer binding CD4 + T cells. Collectively, this study provides an exhaustive transcriptomic map of immunological changes, revealing different mechanisms of action contributing to the high efficacy in B cell depletion treatment of MS.

Multiple sclerosis (MS) is a chronic neuroinflammatory disease characterized by central nervous system demyelination and axonal degeneration. Fatigue affects a major portion of MS patients, significantly impairing their daily activities and quality of life. Despite its prevalence, the mechanisms underlying fatigue in MS are poorly understood, and measuring fatigue remains a challenging task. This study evaluates the efficacy of automated speech analysis in detecting fatigue in MS patients. MS patients underwent a detailed clinical assessment and performed a comprehensive speech protocol. Using features from three different free speech tasks and a proprietary cognition score, our support vector machine model achieved an AUC on the ROC of 0.74 in detecting fatigue. Using only free speech features evoked from a picture description task we obtained an AUC of 0.68. This indicates that specific free speech patterns can be useful in detecting fatigue. Moreover, cognitive fatigue was significantly associated with lower speech ratio in free speech (ρ = −0.283, p = 0.001), suggesting that it may represent a specific marker of fatigue in MS patients. Together, our results show that automated speech analysis, of a single narrative free speech task, offers an objective, ecologically valid and low-burden method for fatigue assessment. Speech analysis tools offer promising potential applications in clinical practice for improving disease monitoring and management.

OBJECTIVE:To investigate the longitudinal dynamics of serum glial fibrillary acidic protein (sGFAP) and serum neurofilament light chain (sNfL) levels in people with multiple sclerosis (pwMS) under B-cell depleting therapy (BCDT) and their capacity to prognosticate future progression independent of relapse activity (PIRA) events. METHODS:A total of 362 pwMS (1,480 samples) starting BCDT in the Swiss Multiple Sclerosis (MS) Cohort were included. sGFAP levels in 2,861 control persons (4,943 samples) provided normative data to calculate adjusted Z scores. RESULTS:Elevated sGFAP levels (Z score >1) at 1 year were associated with a higher hazard for PIRA (hazard ratio [HR]: 1.80 [95% CI: 1.17-2.78]; p = 0.0079) than elevated sNfL levels (HR, 1.45 [0.95-2.24], p = 0.0886) in a combined model. Independent of PIRA events, sGFAP levels longitudinally increased by 0.49 Z score units per 10 years follow-up (estimate, 0.49 [0.29, 0.69], p < 0.0001). In patients experiencing PIRA, sGFAP Z scores were 0.52 Z score units higher versus stable patients (0.52 [0.22, 0.83], p = 0.0009). Different sNfL Z score trajectories were found in pwMS with versus without PIRA (interaction p = 0.0028), with an average decrease of 0.92 Z score units per 10 years observed without PIRA (-0.92 [-1.23, -0.60], p < 0.0001), whereas levels in patients with PIRA remained high. INTERPRETATION:Elevated sGFAP and lack of drop in sNfL after BCDT start are associated with increased risk of future PIRA. These findings provide a rationale for combined monitoring of sNfL and sGFAP in pwMS starting BCDT to predict the risk of PIRA, and to use sGFAP as an outcome in clinical trials aiming to impact on MS progressive disease biology. ANN NEUROL 2024.

Abstract Introduction/Aims Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is characterized by progressive weakness and sensory loss, often affecting patient’s ability to walk and perform activities of daily living independently. Furthermore, patients often report fatigue and depression which can affect their quality of life. These symptoms were assessed in CIDP patients receiving long-term intravenous immunoglobulin (IVIG) treatment. Methods GAMEDIS was a multi-center, prospective, non-interventional study in adult CIDP patients treated with IVIG (10%) and followed for two years. Inflammatory Neuropathy Cause and Treatment (INCAT) disability score, Hughes Disability Scale (HDS), Fatigue Severity Scale (FSS), Beck Depression Inventory II (BDI), Short Form-36 health survey (SF-36) and Work Productivity and Activity Impairment Score Attributable to General Health (WPAI-GH) were assessed at baseline and quarterly. Dosing and treatment intervals, changes in outcome parameters, and adverse events (AEs) were analyzed. Results 148 evaluable patients were followed for a mean of 83.3 weeks. The mean maintenance IVIG dose was 0.9 g/kg/cycle (mean cycle interval 38 days). Disability and fatigue remained stable throughout the study. Mean INCAT score: 2.4 ± 1.8 at baseline and 2.5 ± 1.9 at study end. HDS: 74.3% healthy/minor symptoms at baseline and 71.6% at study end. Mean FSS: 4.2 ± 1.6 at baseline and 4.1 ± 1.7 at study end. All patients reported minimal/no depression at baseline and throughout. SF-36 and WPAI-GH scores remained stable. Fifteen patients (9.5%) experienced potentially treatment-related AEs. There were no AEs in 99.3% of infusions. Discussion Long-term treatment of CIDP patients with IVIG 10% in real-world conditions maintained clinical stability on fatigue and depression over 96 weeks. This treatment was well-tolerated and safe.

Epstein–Barr virus (EBV) infection precedes multiple sclerosis (MS) pathology and cross-reactive antibodies might link EBV infection to CNS autoimmunity. As an altered anti-EBV T cell reaction was suggested in MS, we queried peripheral blood T cell receptor β chain (TCRβ) repertoires of 1,395 MS patients, 887 controls, and 35 monozygotic, MS-discordant twin pairs for multimer-confirmed, viral antigen–specific TCRβ sequences. We detected more MHC-I–restricted EBV-specific TCRβ sequences in MS patients. Differences in genetics or upbringing could be excluded by validation in monozygotic twin pairs discordant for MS. Anti–VLA-4 treatment amplified this observation, while interferon β– or anti-CD20 treatment did not modulate EBV-specific T cell occurrence. In healthy individuals, EBV-specific CD8+ T cells were of an effector-memory phenotype in peripheral blood and cerebrospinal fluid. In MS patients, cerebrospinal fluid also contained EBV-specific central-memory CD8+ T cells, suggesting recent priming. Therefore, MS is not only preceded by EBV infection, but also associated with broader EBV-specific TCR repertoires, consistent with an ongoing anti-EBV immune reaction in MS.

Objective Fatigue is a frequent and severe symptom in multiple sclerosis (MS), but its pathophysiological origin remains incompletely understood. We aimed to examine the predictive value of subcortical gray matter volumes for fatigue severity at disease onset and after 4 years by applying structural equation modeling (SEM). Methods This multicenter cohort study included 601 treatment‐naive patients with MS after the first demyelinating event. All patients underwent a standardized 3T magnetic resonance imaging (MRI) protocol. A subgroup of 230 patients with available clinical follow‐up data after 4 years was also analyzed. Associations of subcortical volumes (included into SEM) with MS‐related fatigue were studied regarding their predictive value. In addition, subcortical regions that have a central role in the brain network (hubs) were determined through structural covariance network (SCN) analysis. Results Predictive causal modeling identified volumes of the caudate (s [standardized path coefficient] = 0.763, p = 0.003 [left]; s = 0.755, p = 0.006 [right]), putamen (s = 0.614, p = 0.002 [left]; s = 0.606, p = 0.003 [right]) and pallidum (s = 0.606, p = 0.012 [left]; s = 0.606, p = 0.012 [right]) as prognostic factors for fatigue severity in the cross‐sectional cohort. Moreover, the volume of the pons was additionally predictive for fatigue severity in the longitudinal cohort (s = 0.605, p = 0.013). In the SCN analysis, network hubs in patients with fatigue worsening were detected in the putamen ( p = 0.008 [left]; p = 0.007 [right]) and pons ( p = 0.0001). Interpretation We unveiled predictive associations of specific subcortical gray matter volumes with fatigue in an early and initially untreated MS cohort. The colocalization of these subcortical structures with network hubs suggests an early role of these brain regions in terms of fatigue evolution. ANN NEUROL 2022;91:192–202