Defining progression independent of relapse activity (PIRA) in adult patients with relapsing multiple sclerosis: A systematic review✰

Current challenges in secondary progressive multiple sclerosis: diagnosis, activity detection and treatment

Approximately 50% diagnosed with relapsing-remitting multiple sclerosis (RRMS) transition to secondary progressive multiple sclerosis (SPMS) within 20 years following disease onset. However, early diagnosis of SPMS and effective treatment remain important clinical challenges. The lack of established diagnostic criteria often leads to delays in identifying SPMS. Also, there are limited disease-modifying therapies (DMTs) available for progressive forms of MS, and these therapies require evidence of disease activity to be initiated. This review examines the challenges in diagnosing SPMS at an early stage and summarizes the current and potential use of biomarkers of disease progression in clinical practice. We also discuss the difficulties in initiating the DMTs indicated for active SPMS (aSPMS), particularly in patients already undergoing treatment with DMTs that suppress disease activity, which may mask the presence of inflammatory activity required for the therapy switch. The article also addresses the DMTs available for both active and non-active SPMS, along with the clinical trials that supported the approval of DMTs indicated for aSPMS or relapsing MS in Europe, which includes aSPMS. We also offer insights on when discontinuing these treatments may be appropriate.

Clinical characteristics and treatment outcomes in multiple sclerosis patients treated with anti-CD20s who switched to fumarates: a retrospective analysis of a US healthcare claims database

Aim: Anti-CD20 monoclonal antibodies and fumarates are common multiple sclerosis (MS) disease-modifying therapies (DMTs). Data on switching from anti-CD20s to other DMTs are limited. This retrospective, observational study of the US Komodo Health Sentinel claims database aimed to evaluate a de-escalation strategy in a real-world cohort, comparing clinical characteristics, relapses, healthcare encounters (HCEs) and healthcare costs (HCCs) between patients aged ≥18 years with stable MS who switched from anti-CD20s to fumarates ('Switchers') versus patients who stayed on anti-CD20s ('Stayers'). Materials & methods: Patients with MS (diagnosed 1 January 2015-31 August 2022) were propensity score matched 5:1 (Stayers:Switchers) and followed from index to end of study; end of insurance eligibility; >45-day gap in index DMT; or DMT switch. Primary outcomes were clinical characteristics and claims-based annualized relapse rate (ARR). Rates of HCEs and HCCs were estimated. Results: Baseline characteristics were well balanced between cohorts (Stayers, n = 540; Switchers, n = 108). Mean (SD) duration of post-index follow-up was 341.4 (250.0) days for both cohorts. Mean (SD) ARR was 0.08 (0.41; Stayers) versus 0.14 (0.5; Switchers; p = 0.3). Twenty-one Stayers (3.9%) and 1 Switcher (0.9%) were hospitalized for infections, with mean stays of 9.9 and 1 day, respectively. Mean annualized all-cause HCEs were similar between cohorts; annualized inpatient infection-related HCEs were higher for Stayers versus Switchers (mean difference: -0.05; p = 0.005). Annualized all-cause HCCs were similar between cohorts; Switchers had lower annualized infection-related HCCs overall (mean difference: -$2412; p = 0.002) and in the inpatient setting (mean difference: -$2325; p = 0.002). Conclusion: After 1 year, no significant differences in ARR emerged between cohorts. Switchers experienced lower inpatient infection-related HCEs, shorter inpatient infection-related hospital stays and lower overall infection-related HCCs.

Update in multiple sclerosis

Multiple Sclerosis (MS) is a chronic demyelinating disorder of the central nervous system (CNS) that affects predominately patients aged 20-40 years. The epidemiology of MS is changing worldwide, as is the understanding of its immunopathogenesis and natural history, with new evidence pointing towards a multifactorial etiology involving both environmental and genetic factors. The prevalence and incidence rates of MS have been steadily increasing worldwide over the last few decades. The diagnosis of MS relies on incorporating clinical and paraclinical findings to prove dissemination in space and time. Appropriate selection of MS therapies is critical to maximize patient benefit. The field of MS therapeutics is evolving rapidly as several novel disease modifying therapies (DMTs) have been added to our armamentarium in the last decade. This review will cover the epidemiology of MS, new concepts in immunopathogenesis and etiology, recent diagnostic criteria and red flags for avoiding misdiagnosis, therapeutic advances, disease management during pregnancy, and updated treatment guidelines.

A Window into New Insights on Progression Independent of Relapse Activity in Multiple Sclerosis: Role of Therapies and Current Perspective

In multiple sclerosis (MS), there is significant evidence indicating that both progression independent of relapse activity (PIRA) and relapse-related worsening events contribute to the accumulation of progressive disability from the onset of the disease and throughout its course. Understanding the compartmentalized pathophysiology of MS would enhance comprehension of disease progression mechanisms, overcoming the traditional distinction in phenotypes. Smoldering MS activity is thought to be maintained by a continuous interaction between the parenchymal chronic processes of neuroinflammation and neurodegeneration and the intrathecal compartment. This review provides a comprehensive and up-to-date overview of the neuropathological and immunological evidence related to the mechanisms underlying PIRA phenomena in MS, with a focus on studies investigating the impact of currently available therapies on these complex mechanisms.

Brief international cognitive assessment for MS (BICAMS) and NEDA maintenance in MS patients: A 2-year follow-up longitudinal study

BACKGROUND

The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) has been validated in many cross-sectional studies. However, longitudinal data on BICAMS subset trajectories and their correlation with disease activity during follow-up are scarce.

OBJECTIVES

We aimed to (i) assess BICAMS changes in MS patients initiating high-efficacy disease-modifying-treatments (DMTs), (ii) compare these changes based on maintenance of "no-evidence-of-disease-activity" (NEDA-3) status over 24 months, and (iii) determine baseline clinical parameters predictive of cognitive changes.

METHODS

We enrolled 101 MS patients (mean age:40,45 ± 11; Relapsing-Remitting-MS:81%) initiating highly-effective-DMTs. Patients underwent Expanded Disability Status Scale (EDSS), BICAMS, and Hospital Anxiety and Depression Scale (HADS), at baseline and after 24 months. Regression-based change index (RB-CI) had been used for cognitive change evaluation over follow-up.

RESULTS

During follow-up, 78 (77.3%) patients maintained NEDA-3 status. Considering a 90% of confidence levels for RB-CI, 12 (11.9%) improved at SDMT, 13 (12.9%) at CVLT-II and 13 (12.9%) at BVMT-R; while 7 (6.9%) were classified as worsened at SDMT, 11 (10.9%) at CVLT-II and 8 (7.9%) at BVMT-R. SDMT scores significantly improved at follow-up for the entire group (p = 0.003) and in patients maintaining NEDA-3 (p < 0.001). The multivariable regression model assessing the SDMT improvement (n = 12; z = 1.65), was significant and explained 21% of the variance (p = 0.038; Nagelkerke R2 = 0.212). Lower EDSS proved to be an independent predictor of SDMT reliable improvement (p = 0.027) in our sample.

CONCLUSIONS

Our findings showed that early disease activity control-especially in patients with low baseline disability-may yield significant benefits even in terms of cognitive performance.

Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning

PURPOSE

Clinical validation of "BrainLossNet", a deep learning-based method for fast and robust estimation of brain volume loss (BVL) from longitudinal T1-weighted MRI, for the detection of accelerated BVL in multiple sclerosis (MS) and for the discrimination between MS patients with versus without disability progression.

MATERIALS AND METHODS

A longitudinal normative database of healthy controls (n = 563), two mono-scanner MS cohorts (n = 414, 156) and a mixed-scanner cohort acquired for various indications (n = 216) were included retrospectively. Mean observation period from the baseline (BL) to the last follow-up (FU) MRI scan was 2-3 years. Expanded Disability Status Scale (EDSS) at BL and FU was available in 149 MS patients. Annual BVL was computed using BrainLossNet and Siena and then adjusted for age. Repeated-measures ANOVA and Cohen's effect size were used to compare BrainLossNet and Siena regarding the detection of accelerated BVL and the differentiation between MS patients with versus without EDSS progression.

RESULTS

Cohen's effect size for the differentiation of patients from healthy controls based on the age-adjusted annual BVL was larger with BrainLossNet than with Siena (MS cohort 1: 0.927 versus 0.495, MS cohort 2: 0.671 versus 0.456, mixed-scanner cohort: 0.918 versus 0.730, all p < 0.001). Cohen's effect size for the discrimination between MS patients with (n = 51) versus without (n = 98) EDSS progression was larger with BrainLossNet (0.503 versus 0.400, p = 0.048).

CONCLUSION

BrainLossNet can provide added value in clinical routine and MS therapy trials regarding the detection of accelerated BVL in MS and the differentiation between MS patients with versus without disability progression.

The effect of alemtuzumab on neurodegeneration in relapsing-remitting multiple sclerosis: A five-year prospective mono-center study

BACKGROUND

Relapsing-remitting multiple sclerosis (RRMS) is an inflammatory and neurodegenerative disease. After two or more short courses of alemtuzumab (ALZ), an immune reconstitution is achieved, which long-term results in reduced disease activity. We aimed to investigate the effect of ALZ on measures of neurodegeneration (i.e., brain atrophy, and retinal layer thinning).

METHODS

We designed an observational prospective mono-center study in RRMS patients initiating ALZ treatment. Patients were assessed at baseline (month 0) and thereafter annually for five years with clinical measures, synthetic magnetic resonance imaging (SyMRI) and optical coherence tomography (OCT), with a re-baseline SyMRI scan and an OCT exam 24 months after initiating ALZ. Persons with neurological symptoms but without evidence of neurological disease served as symptomatic controls (SCs, n = 27).

RESULTS

Forty-nine RRMS patients were included. Baseline median expanded disability status scale [2.0 (IQR 1.5)] was unchanged during follow-up, 71 % were progression-free, 33 % achieved no evidence of disease activity-3 (NEDA-3). Between baseline and month 60, SyMRI showed a reduction of brain parenchymal fraction (BPF) and grey matter (GM) volume in patients. The BPF reduction was greater in RRMS patients than in SCs (p < 0.05), and more pronounced in patients with high pre-baseline disease activity than in those without (p < 0.01). OCT showed significant thinning of macular ganglion cell and inner plexiform layers (mGCIPL) and in peripapillary retinal nerve fiber layer (pRNFL) in patients. In contrast, absolute values of white matter (WM) volume and myelin content (MyC) quantified by SyMRI, were stable or increased after re-baseline (month 24) and up to month 60, and this increase appeared limited to patients without high pre-baseline disease activity and to patients with NEDA-3 or disability worsening during follow-up. A strong positive correlation between WM volume and GM volume at baseline was lost after ALZ intervention for their delta values, i.e., change from re-baseline (month 24) to month 60. While the positive baseline correlation between WM volume and MyC increased for their delta values, the positive baseline correlation between GM volume and MyC changed to negative for their delta values.

CONCLUSION

We showed that neurodegeneration continued in RRMS patients under ALZ treatment, but it appeared to be limited to BPF and GM, and more pronounced in patients with disease activity. Our data suggest that patients who respond to ALZ treatment show signs of remyelination. OCT and SyMRI have potential to quantify measures of neurodegeneration that is affected by treatment intervention in RRMS.

Prognostic significance of paramagnetic rim lesions in multiple sclerosis: A systematic review

The diagnostic potential of paramagnetic rim lesions (PRLs) has been previously established; however, the prognostic significance of these lesions has not previously been consistently described. This study aimed to establish the prognostic role of PRLs in MS with respect to the Expanded Disability Status Scale (EDSS) and rates of disability progression. Databases of PubMed, EMBASE, Scopus and reference lists of selected articles were searched up to 29/04/2023. The review was conducted in accordance with PRISMA guidelines and was registered prospectively on PROSPERO (CRD42023422052). 7 studies were included in the final review. All of the eligible studies found that patients with PRLs tend to have higher baseline EDSS scores. Longitudinal assessments revealed greater EDSS progression in patients with PRLs over time in most studies. However, the effect of location of PRLs within the central nervous system were not assessed across the studies. Only one study investigated progression independent of relapse activity (PIRA) and showed that this clinical entity occurred in a greater proportion in patients with PRLs. This review supports PRLs as a predictor of EDSS progression. This measure has widespread applicability, however further multicentre studies are needed. Future research should explore the impact of PRLs on silent disability, PIRA, take into account different MS phenotypes and the topography of PRLs in prognosis.

Markers of secondary progression in multiple sclerosis

INTRODUCTION

There is no globally accepted definition of Secondary Progressive Multiple Sclerosis (SPMS) or set of unambiguous clinical, radiological, or other criteria that can accurately identify patients who transition to SPMS. Thus, the SPMS diagnosis is almost always a retrospective and frequently delayed process.

OBJECTIVE

The aim of this study was to elucidate the current understanding of phenotypic changes throughout MS course and provide insights into the detection of SPMS from the available literature on this diagnostic landscape.

METHODS

Comprehensive literature review aiming at detecting the transition from RRMS to SPMS. A search for relevant publications was conducted across different databases, scrutinizing studies that investigated tools and biomarkers for an accurate diagnosis of SPMS.

RESULTS

62 studies from the past two decades were included. The EDSS-plus was shown to be more sensitive than the EDSS alone in identifying disability progression. We found some helpful indicators for diagnosing SPMS, including cognitive impairment, particularly on working memory, information processing speed, and verbal fluency; presence of slowly expanding lesions on MRI; thinning of retinal layers on OCT. Also, glial markers as Glial Fibrillary Acidic Protein and Chitinase-3-like protein 1 might be more suitable to identify the conversion to progressive disease than Neurofilament light chain. Certain subjective symptoms seem to be more prevalent in the SPMS phase, although further studies are needed to understand whether patient reported outcomes' measures (PROMs) and which ones could be useful in detecting the transition to a progressive phenotype.

CONCLUSION

Our review highlights the emergence of useful biomarkers in early detection of progression of MS, such as cognitive impairment, MRI, and glial markers. We are getting closer to revolutionising the SPMS diagnosis and clinical management as we get a deeper understanding of these biomarkers.

Cognitive progression independent of relapse in multiple sclerosis

BACKGROUND

Substantial physical-disability worsening in relapsing-remitting multiple sclerosis (RRMS) occurs outside of clinically recorded relapse. This phenomenon, termed progression independent of relapse activity (PIRA), is yet to be established for cognitive decline.

METHODS

Retrospective analysis of RRMS patients. Cognitive decline was defined using reliable-change-index cut-offs for each test (Symbol Digit Modalities Test, Brief Visuospatial Memory Test-Revised, California Verbal Learning Test-II). Decline was classified as PIRA if the following conditions were met: no relapse observed between assessments nor within 9 months of cognitive decline.

RESULTS

The study sample (n = 336) was 80.7% female with a mean (standard deviation (SD)) age, disease duration, and observation period of 43.1 (9.5), 10.8 (8.4), and 8.1 (3.1) years, respectively. A total of 169 (50.3%) subjects were cognitively impaired at baseline relative to age-, sex-, and education-matched HCs. Within subjects who experienced cognitive decline (n = 167), 89% experienced cognitive PIRA. A total of 141 (68.1%) cognitive decline events were observed independent of EDSS worsening. Cognitive PIRA was more likely to be observed with increased assessments (p < 0.001) and lower assessment density (p < 0.001), accounting for baseline clinical factors.

CONCLUSION

These results establish the concept of cognitive PIRA and further our understanding of progressive cognitive decline in RRMS.

The time to include cognition in the multiple sclerosis concept of progression independent from relapse activity is now

Progression independent of relapse activity (PIRA) has been recently proposed in multiple sclerosis (MS) as a model identifying a continuous silent progression of disability without the manifestation of new clinical and magnetic resonance imaging (MRI) events that contribute to MS worsening. Despite evidence suggesting that clinical MS manifestations often affect cognitive functioning and the importance of neuropsychological monitoring over time, attention to silent cognitive progression is lacking, and the PIRA concept does not include a measure of cognitive function. In this personal viewpoint, we highlight the need to include cognition in the PIRA model to have a more comprehensive understanding of clinical progression in patients with MS.

Rituximab in secondary progressive multiple sclerosis: a meta-analysis

OBJECTIVE

To evaluate the efficacy of rituximab (RTX) in stabilizing disability progression in secondary progressive multiple sclerosis (SPMS).

METHODS

A systematic review was conducted, encompassing studies from inception to April 2023, utilizing the MEDLINE and EMBASE databases. Inclusion criteria comprised studies with a minimum of 3 SPMS patients receiving intravenous RTX in at least one infusion, with a follow-up duration of at least 6 months. Primary outcome measures included changes in Expanded Disability Status Scale (EDSS) scores. Mean differences in pre- and post-RTX EDSS scores were analyzed using a random-effects model. Meta-regression examined age at RTX initiation, pre-RTX EDSS scores, disease duration, and outcome reported time as variables. Secondary outcomes assessed changes in the annualized relapse rate (ARR).

RESULTS

Thirteen studies, involving 604 SPMS patients, met the inclusion criteria. Following a mean follow-up of 2 years, the mean difference in EDSS scores (ΔEDSS = EDSSpre-RTX - EDSSpost-RTX) was -0.21 (95% CI -0.51 to 0.08, p = 0.16), indicating no significant variation. Multivariable meta-regression identified significant associations between EDSS score mean difference and pre-RTX EDSS scores, disease duration at RTX initiation, and outcome reported time. However, age at RTX initiation showed no significant association. Pre- and post-RTX ARR data were available for 245 out of 604 SPMS patients across seven studies, revealing a mean difference in ARR (ΔARR = ARRpre-RTX - ARRpost-RTX) of 0.74 (95% CI 0.19-1.29, p = 0.008).

INTERPRETATION

RTX demonstrates efficacy in reducing relapse frequency and exhibits potential in stabilizing disability progression over a 2-year follow-up, particularly among individuals with shorter disease duration.

Altered Cytokine Profile in Clinically Suspected Seronegative Autoimmune Associated Epilepsy

Background and Objectives

Autoimmune-associated epilepsy (AAE), a condition which responds favorably to immune therapies but not traditional anti-seizure interventions, is emerging as a significant contributor to cases of drug-resistant epilepsy. Current standards for the diagnosis of AAE rely on screening for known neuronal autoantibodies in patient serum or cerebrospinal fluid. However, this diagnostic method fails to capture a subset of drug-resistant epilepsy patients with suspected AAE who respond to immunotherapy yet remain seronegative (snAAE) for known autoantibodies.

Methods

To identify potential biomarkers for snAAE, we evaluated the most comprehensive panel of assayed cytokines and autoantibodies to date, comparing patients with snAAE, anti-seizure medication (ASM) responsive epilepsy, and patients with other neuroinflammatory diseases.

Results

We found a unique signature of 14 cytokines significantly elevated in snAAE patients including: GM-CSF, MCP-2/CCL8, MIP-1a/CCL3, IL-1RA, IL-6, IL-8, IL-9, IL-10, IL-15, IL-20, VEGF-A, TNF-b, LIF, and TSLP. Based on prior literature, we highlight IL-6, IL-8, IL-10, IL-13, VEGF-A, and TNF-b as potentially actionable cytokine biomarkers for snAAE, which could be of diagnostic utility in clinical evaluations of snAAE patients. Autoantibody-ome screening failed to identify autoantibodies targeting neuronal channel proteins in snAAE patients. Interestingly, ASM-responsive epilepsy patients displayed elevations in the proportion of autoantibodies targeting brain plasma membrane proteins, possibly pointing to the presence of immune hyperactivity/dysfunction despite well-controlled seizure activity and suggesting ASM-responsive patients may experience disease progression independent of seizure activity (PISA).

Discussion

Overall, our findings suggest that simply expanding existing autoantibody screens may not sufficiently enhance diagnostic power for snAAE. Instead, we propose that cytokine analysis may serve as a promising diagnostic avenue for identifying immune dysregulation in AAE patients and enabling opportunities for trials of immunotherapies.

Disability patterns in multiple sclerosis: A meta-analysis on RAW and PIRA in the real-world context

OBJECTIVE

To summarize the current evidence on relapse-associated worsening (RAW) and progression independent of relapse activity (PIRA) through a quantitative synthesis of real-world studies.

METHODS

Scientific databases were searched to identify suitable articles. Random-effects meta-analyses, subgroup analyses and meta-regression models were ran to provide pooled estimates of RAW and PIRA events and to identify their potential moderators (PROSPERO registration: CRD42024503895).

RESULTS

Eighteen articles met the eligibility criteria, with a pooled sample size of 52,667 patients (93% relapsing-remitting, 6% clinically isolated syndrome and 1% progressive) followed for 2.4 to 12.1 years, yielding to 415,825 patient-years. Pooled event rates for RAW and PIRA were 1.6 (95 confidence interval (CI) = 1.1-2.1) and 3.1 (95% CI = 2.3-3.9) per 100 patient-years, respectively. Less RAW events were found in cohorts including patients with progressive course (β = -0.069, p = 0.006) and under high-efficacy disease-modifying treatments (DMTs) (β = -0.031, p = 0.007), while PIRA events were directly related to older age (β = 0.397, p = 0.027). In addition, we found significant differences in PIRA event rates according to the criteria adopted to define confirmed disability accrual (p < 0.05).

DISCUSSION

PIRA accounts for most events causing disability accumulation in the real-world setting, even at the earlier disease stages, whereas RAW represents a less frequent phenomenon, likely due to effective treatments. The detection and statistical analysis of PIRA outcomes pose challenges, raising the risk of erroneous inference. When interpreting our findings, caution is needed given the wide heterogeneity of included studies.

A comparison of natalizumab and ocrelizumab on disease progression in multiple sclerosis

OBJECTIVE

No direct comparisons of the effect of natalizumab and ocrelizumab on progression independent of relapse activity (PIRA) and relapse-associated worsening (RAW) events are currently available. We aimed to compare the risk of achieving first 6 months confirmed PIRA and RAW events and irreversible Expanded Disability Status Scale (EDSS) 4.0 and 6.0 in a cohort of naïve patients treated with natalizumab or ocrelizumab from the Italian Multiple Sclerosis Register.

METHODS

Patients with a first visit within 1 year from onset, treated with natalizumab or ocrelizumab, and ≥3 visits were extracted. Pairwise propensity score-matched analyses were performed. Risk of reaching the first PIRA, RAW, and EDSS 4.0 and 6.0 events were estimated using multivariable Cox proportional hazards models. Kaplan-Meier curves were used to show cumulative probabilities of reaching outcomes.

RESULTS

In total, 770 subjects were included (natalizumab = 568; ocrelizumab = 212) and the propensity score-matching retrieved 195 pairs. No RAW events were found in natalizumab group and only 1 was reported in ocrelizumab group. A first PIRA event was reached by 23 natalizumab and 25 ocrelizumab exposed patients; 7 natalizumab- and 10 ocrelizumab-treated patients obtained an irreversible EDSS 4.0, while 13 natalizumab- and 15 ocrelizumab-treated patients reached an irreversible EDSS 6.0. No differences between the two groups were found in the risk (HR, 95%CI) of reaching a first PIRA (1.04, 0.59-1.84; p = 0.88) event, an irreversible EDSS 4.0 (1.23, 0.57-2.66; p = 0.60) and 6.0 (0.93, 0.32-2.68; p = 0.89).

INTERPRETATION

Both medications strongly suppress RAW events and, in the short term, the risk of achieving PIRA events, EDSS 4.0 and 6.0 milestones is not significantly different.

Disease modifying treatment guidelines for multiple sclerosis in the United Arab Emirates

The newly constituted National Multiple Sclerosis (MS) Society (NMSS)of the United Arab Emirates (UAE), set up a scientific committee to create a MS disease modifying treatment (DMT) guideline for UAE. The committee considered several unique features of the MS community in UAE including large number of expatriate population, wide variations in health insurance coverage, physician and patient preferences for DMT. The overall goal of the treatment guideline is to facilitate the most appropriate DMT to the widest number of patients. To this end it has adapted recommendations from various health systems and regulatory authorities into a pragmatic amalgamation of best practices from across the world. Importantly where data is unavailable or controversial, a common sense approach is taken rather than leave physicians and patients in limbo. The committee classifies MS into subcategories and suggests appropriate treatment choices. It recommends treatment of RIS and CIS with poor prognostic factors. It largely equates the efficacy and safety of DMT with similar mechanisms of action or drug classes e.g. ocrelizumab is similar to rituximab. It allows early switching of treatment for unambiguous disease activity and those with progression independent of relapses. Autologous hematopoietic stem cell transplantation can be offered to patients who fail one high efficacy DMT. Pragmatic guidance on switching and stopping DMT, DMT choices in pregnancy, lactation and pediatric MS have been included. It is expected that these guidelines will be updated periodically as new data becomes available.

Continuous diffuse brain atrophy independent of relapse as a hallmark of multiple sclerosis beginning from relapsing-remitting stage

BACKGROUND

Neurodegenerative changes are observed in relapsing-remitting multiple sclerosis (RRMS) and are prominent in secondary progressive MS (SPMS). However, whether neurodegenerative changes accelerate and are altered after the transition into SPMS or in the presence of relapses remains uncertain.

METHODS

In this study, 73 patients with MS (seven with relapsing RRMS, 56 with relapse-free RRMS, and 10 with relapse-free SPMS) were evaluated for brain segmental volume changes over a 2-year follow-up period. Volume change was calculated using a within-subject unbiased longitudinal image analysis model.

RESULTS

The rates of brain volume change in the 11 brain regions evaluated were relatively similar among different brain regions. Moreover, they were similar among the relapsing RRMS, relapse-free RRMS, and SPMS groups, even after adjusting for age.

CONCLUSIONS

The relatively constant brain segmental atrophy rate throughout the disease course, regardless of relapse episodes, suggests that RRMS and SPMS are continuous, uniform, and silent progressing brain atrophy diseases on a spectrum.

Exploring miRNAs' Based Modeling Approach for Predicting PIRA in Multiple Sclerosis: A Comprehensive Analysis

The current hypothesis on the pathophysiology of multiple sclerosis (MS) suggests the involvement of both inflammatory and neurodegenerative mechanisms. Disease Modifying Therapies (DMTs) effectively decrease relapse rates, thus reducing relapse-associated disability in people with MS. In some patients, disability progression, however, is not solely linked to new lesions and clinical relapses but can manifest independently. Progression Independent of Relapse Activity (PIRA) significantly contributes to long-term disability, stressing the urge to unveil biomarkers to forecast disease progression. Twenty-five adult patients with relapsing-remitting multiple sclerosis (RRMS) were enrolled in a cohort study, according to the latest McDonald criteria, and tested before and after high-efficacy Disease Modifying Therapies (DMTs) (6-24 months). Through Agilent microarrays, we analyzed miRNA profiles from peripheral blood mononuclear cells. Multivariate logistic and linear models with interactions were generated. Robustness was assessed by randomization tests in R. A subset of miRNAs, correlated with PIRA, and the Expanded Disability Status Scale (EDSS), was selected. To refine the patient stratification connected to the disease trajectory, we computed a robust logistic classification model derived from baseline miRNA expression to predict PIRA status (AUC = 0.971). We built an optimal multilinear model by selecting four other miRNA predictors to describe EDSS changes compared to baseline. Multivariate modeling offers a promising avenue to uncover potential biomarkers essential for accurate prediction of disability progression in early MS stages. These models can provide valuable insights into developing personalized and effective treatment strategies.

Alemtuzumab treatment for multiple sclerosis in Austria: An observational long-term outcome study

BACKGROUND/OBJECTIVE

Observational real-world study to analyze the clinical effects of alemtuzumab (ALEM) and subsequent disease-modifying therapy (DMT) usage in multiple sclerosis (MS).

METHODS

Data retrieved from the Austrian MS treatment registry (AMSTR) included baseline (BL) characteristics (at ALEM start), annualized relapse rate (ARR), 6-month confirmed progression independent of relapse activity (PIRA; ≥ 0.5-point Expanded Disability Status Scale (EDSS) score increase), 6-month confirmed disability improvement (CDI; ≥ 0.5-point EDSS decrease), and safety outcomes until initiation of a subsequent DMT. The EDSS was re-baselined at 30 days from ALEM start (BL EDSS).

RESULTS

Eighty-seven ALEM-treated patients (median age: 32 years, 72% female, 14% treatment-naïve) were followed for a median of 55 (interquartile range 31-68) months. We found significant reductions in the ARR from 1.16 before ALEM to 0.15 throughout Years 1-9 (p < 0.001). Subsequent DMTs were initiated in 19 patients (22%, 74% anti-CD20 monoclonal antibodies). At Year 5 (n = 53), more patients achieved CDI (58%, 95% confidence interval (CI) 45%-71%) than had experienced PIRA (14%, CI 7.5%-24%), and 58% remained relapse-free. Shorter MS duration (p < 0.001, hazard ratio (HR) 0.86 (CI 0.80-0.93)) and no previous high-efficacy treatment (p < 0.001, HR 5.16 (CI 2.66-10.0)) were the best predictors of CDI, while PIRA was associated with a higher number of previous DMTs (p = 0.04, HR 3.06, CI 1.05-8.89). We found no new safety signals.

INTERPRETATION

ALEM had long-lasting beneficial effects on the ARR and disability improvement, especially when initiated early in the course of the disease. Only a subset of patients received subsequent DMTs.

Recent advances in the treatment of primary and secondary progressive Multiple Sclerosis

BACKGROUND

The article highlights upcoming potential treatments, which target different phases of inflammation and offer remyelinating strategies as well as direct and indirect neuroprotective and oligodendrocyte protective effects, providing a hopeful outlook for patients with primary and secondary progressive multiple sclerosis (PPMS and SPMS).

OBJECTIVES

The review aims to identify potential treatments and ongoing clinical trials for PPMS and SPMS, and compare their mechanisms of action, efficacy, and side effects with current treatments.

METHODS

We reviewed ongoing clinical trials for PPMS and SPMS on the NIH website, as well as articles from PubMed, Embase, and clinicaltrails.gov since 2010.

RESULTS

BTKIs like, tolebrutinib, and fenebrutinib are being explored as potential PMS treatments. Vidofludimus calcium, an orally available treatment, has shown a reduction of active and new MRI lesions. Other treatments like simvastatin, N-acetylcysteine (NAC), and alpha-lipoic acid are being explored for their antioxidant properties. AHSCT and mesenchymal stem cell therapy are experimental options for younger patients with high inflammatory activity.

CONCLUSIONS

SPMS and PPMS are being studied for new treatments and future trials should consider combination therapies targeting inflammation, demyelination, and neuronal death, as the pathogenesis of PMS involves complex factors.

Hypogammaglobulinemia and infections in patients with multiple sclerosis treated with anti-CD20 treatments: a systematic review and meta-analysis of 19,139 multiple sclerosis patients

Background

Recent years have seen the emergence of disease-modifying therapies in multiple sclerosis (MS), such as anti-cluster of differentiation 20 (anti-CD20) monoclonal antibodies, aiming to modulate the immune response and effectively manage MS. However, the relationship between anti-CD20 treatments and immunoglobulin G (IgG) levels, particularly the development of hypogammaglobulinemia and subsequent infection risks, remains a subject of scientific interest and variability. We aimed to investigate the intricate connection between anti-CD20 MS treatments, changes in IgG levels, and the associated risk of hypogammaglobulinemia and subsequent infections.

Method

PubMed, Scopus, Embase, Cochrane, and Web of Science databases have been searched for relevant studies. The "R" software utilized to analyze the occurrence of hypogammaglobulinemia, infections and mean differences in IgG levels pre- and post-treatment. The subgrouping analyses were done based on drug type and treatment duration. The assessment of heterogeneity utilized the I2 and chi-squared tests, applying the random effect model.

Results

Thirty-nine articles fulfilled our inclusion criteria and were included in our review which included a total of 20,501 MS patients. The overall prevalence rate of hypogammaglobulinemia was found to be 11% (95% CI: 0.08 to 0.15). Subgroup analysis based on drug type revealed varying prevalence rates, with rituximab showing the highest at 18%. Subgroup analysis based on drug usage duration revealed that the highest proportion of hypogammaglobulinemia occurred in individuals taking the drugs for 1 year or less (19%). The prevalence of infections in MS patients with a focus on different infection types stratified by the MS drug used revealed that pulmonary infections were the most prevalent (9%) followed by urinary tract infections (6%), gastrointestinal infections (2%), and skin and mucous membrane infections (2%). Additionally, a significant decrease in mean IgG levels after treatment compared to before treatment, with a mean difference of 0.57 (95% CI: 0.22 to 0.93).

Conclusion

This study provides a comprehensive analysis of the impact of anti-CD20 drugs on serum IgG levels in MS patients, exploring the prevalence of hypogammaglobulinemia, based on different drug types, treatment durations, and infection patterns. The identified rates and patterns offer a foundation for clinicians to consider in their risk-benefit.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=518239, CRD42024518239.

Clinical trials for progressive multiple sclerosis: progress, new lessons learned, and remaining challenges

Despite the success of disease-modifying treatments in relapsing multiple sclerosis, for many individuals living with multiple sclerosis, progressive disability continues to accrue. How to interrupt the complex pathological processes underlying progression remains a daunting and ongoing challenge. Since 2014, several immunomodulatory approaches that have modest but clinically meaningful effects have been approved for the management of progressive multiple sclerosis, primarily for people who have active inflammatory disease. The approval of these drugs required large phase 3 trials that were sufficiently powered to detect meaningful effects on disability. New classes of drug, such as Bruton tyrosine-kinase inhibitors, are coming to the end of their trial stages, several candidate neuroprotective compounds have been successful in phase 2 trials, and innovative approaches to remyelination are now also being explored in clinical trials. Work continues to define intermediate outcomes that can provide results in phase 2 trials more quickly than disability measures, and more efficient trial designs, such as multi-arm multi-stage and futility approaches, are increasingly being used. Collaborations between patient organisations, pharmaceutical companies, and academic researchers will be crucial to ensure that future trials maintain this momentum and generate results that are relevant for people living with progressive multiple sclerosis.

Epstein-Barr Virus and Human Endogenous Retrovirus in Japanese Patients with Autoimmune Demyelinating Disorders

Multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocytes glycoprotein-antibody disease (MOGAD) are distinct autoimmune demyelinating disorders characterized by varying clinical and pathological characteristics. While the precise origins of these diseases remain elusive, a combination of genetic and environmental factors, including viral elements, have been suggested as potential contributors to their development. Our goal was to assess the occurrence of antibodies against pathogenic peptides associated with Epstein-Barr virus (EBV) and the human endogenous retrovirus-W (HERV-W) in serum samples obtained from Japanese individuals diagnosed with MS, NMOSD, and MOGAD and to make comparisons with a group of healthy controls (HCs). We conducted a retrospective analysis involving 114 Japanese participants, comprising individuals with MS (34), NMOSD (20), MOGAD (20), and HCs (40). These individuals were tested using a peptide-based enzyme-linked immunosorbent assay. A marked increase in antibody response against EBV nuclear antigen 1 (EBNA1)386-405 was observed in the serum of MS and MOGAD patients, as compared to HCs. Notably, we observed a correlation between antibodies against EBNA1386-405 and HERV-W486-504 peptides in a subset of the antibody-positive MS patients. These findings emphasize the involvement of EBV in the pathogenesis of MS and potentially MOGAD, suggesting its role in the reactivation of HERV-W.

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis

Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical relapses, no magnetic resonance imaging (MRI) disease activity and no disability worsening. While MRI is the principal tool available to neurologists for monitoring clinically silent MS disease activity and, where appropriate, escalating treatment, standard radiology reports are qualitative and may be insensitive to the development of new or enlarging lesions. Existing quantitative neuroimaging tools lack adequate clinical validation. In 397 multi-center MRI scan pairs acquired in routine practice, we demonstrate superior case-level sensitivity of a clinically integrated AI-based tool over standard radiology reports (93.3% vs 58.3%), relative to a consensus ground truth, with minimal loss of specificity. We also demonstrate equivalence of the AI-tool with a core clinical trial imaging lab for lesion activity and quantitative brain volumetric measures, including percentage brain volume loss (PBVC), an accepted biomarker of neurodegeneration in MS (mean PBVC -0.32% vs -0.36%, respectively), whereas even severe atrophy (>0.8% loss) was not appreciated in radiology reports. Finally, the AI-tool additionally embeds a clinically meaningful, experiential comparator that returns a relevant MS patient centile for lesion burden, revealing, in our cohort, inconsistencies in qualitative descriptors used in radiology reports. AI-based image quantitation enhances the accuracy of, and value-adds to, qualitative radiology reporting. Scaled deployment of these tools will open a path to precision management for patients with MS.

Progression risk stratification with six-minute walk gait speed trajectory in multiple sclerosis

Background

Multiple Sclerosis (MS) disease progression has notable heterogeneity among patients and over time. There is no available single method to predict the risk of progression, which represents a significant and unmet need in MS.

Methods

MS and healthy control (HC) participants were recruited for a 2-year observational study. A latent-variable growth mixture model (GMM) was applied to cluster baseline 6-min walk gait speed trajectories (6MWGST). MS patients within different 6 MWGST clusters were identified and stratified. The group membership of these MS patients was compared against 2-year confirmed-disease progression (CDP). Clinical and patient-reported outcome (PRO) measures were compared between HC and MS subgroups over 2 years.

Results

62 MS and 41 HC participants completed the 2-year study. Within the MS cohort, 90% were relapsing MS. Two distinct patterns of baseline 6 MWGST emerged, with one cluster displaying a faster gait speed and a typical "U" shape, and the other showing a slower gait speed and a "flattened" 6 MWGST curve. We stratified MS participants in each cluster as low- and high-risk progressors (LRP and HRP, respectively). When compared against 2-year CDP, our 6 MWGST approach had 71% accuracy and 60% positive predictive value. Compared to the LRP group, those MS participants stratified as HRP (15 out of 62 MS participants), were on average 3.8 years older, had longer MS disease duration and poorer baseline performance on clinical outcomes and PROs scores. Over the subsequent 2 years, only the HRP subgroup showed a significant worsened performance on 6 MW, clinical measures and PROs from baseline.

Conclusion

Baseline 6 MWGST was useful for stratifying MS participants with high or low risks for progression over the subsequent 2 years. Findings represent the first reported single measure to predict MS disease progression with important potential applications in both clinical trials and care in MS.