Treatment strategies for multiple sclerosis: When to start, when to change, when to stop?

Enhancing classification of active and non-active lesions in multiple sclerosis: machine learning models and feature selection techniques

INTRODUCTION

Gadolinium-based T1-weighted MRI sequence is the gold standard for the detection of active multiple sclerosis (MS) lesions. The performance of machine learning (ML) and deep learning (DL) models in the classification of active and non-active MS lesions from the T2-weighted MRI images has been investigated in this study.

METHODS

107 Features of 75 active and 100 non-active MS lesions were extracted by using SegmentEditor and Radiomics modules of 3D slicer software. Sixteen ML and one sequential DL models were created using the 5-fold cross-validation method and each model with its special optimized parameters trained using the training-validation datasets. Models' performances in test data set were evaluated by metric parameters of accuracy, precision, sensitivity, specificity, AUC, and F1 score.

RESULTS

The sequential DL model achieved the highest AUC of 95.60% on the test dataset, demonstrating its superior ability to distinguish between active and non-active plaques. Among traditional ML models, the Hybrid Gradient Boosting Classifier (HGBC) demonstrated a commendable test AUC of 86.75%, while the Gradient Boosting Classifier (GBC) excelled in cross-validation with an AUC of 87.92%.

CONCLUSION

The performance of sixteen ML and one sequential DL models in the classification of active and non-active MS lesions was evaluated. The results of the study highlight the effectiveness of sequential DL approach and ensemble methods in achieving robust predictive performance, underscoring their potential applications in classifying MS plaques.

Pyroptosis the Emerging Link Between Gut Microbiota and Multiple Sclerosis

This review elucidates the pivotal role of pyroptosis, triggered by gut microbiota, in the development of multiple sclerosis (MS), emphasizing its significance within the gut-brain axis. Our comprehensive analysis of recent literature reveals how dysbiosis in the gut microbiota of MS patients-characterized by reduced microbial diversity and shifts in bacterial populations-profoundly impacts immune regulation and the integrity of the central nervous system (CNS). Pyroptosis, an inflammatory form of programmed cell death, significantly exacerbates MS by promoting the release of inflammatory cytokines and causing substantial damage to CNS tissues. The gut microbiota facilitates this detrimental process through metabolites such as short-chain fatty acids and neuroactive compounds, or self-structural products like lipopolysaccharides (LPS), which modulate immune responses and influence neuronal survival. This review highlights the potential of modulating gut microbiota to regulate pyroptosis, thereby suggesting that targeting this pathway could be a promising therapeutic strategy to mitigate inflammatory responses and preserve neuronal integrity in patients with MS.

The NLRP3 inflammasome: A central player in multiple sclerosis

Multiple sclerosis (MS) is a neurological autoimmune condition associated with many symptoms including spasticity, pain, limb numbness and weakness. It is characterised by inflammatory demyelination and axonal degeneration of the brain and spinal cord. A range of disease-modifying therapies (DMTs) are available to suppress inflammatory disease activity in MS, however, there is a pressing need for new therapeutic avenues as DMTs have a limited ability to suppress confirmed disability progression. A body of literature indicates that innate immune inflammation is linked to MS progression. The nucleotide-binding oligomerization domain (NOD)-like receptor pyrin domain containing protein 3 (NLRP3) inflammasome has a well-established function in innate immunity which is closely associated with the pathogenesis of neuroinflammatory conditions. Evidence suggests that the inflammasome may be a therapeutic target in disorders such as MS and at present, inhibitors of the NLRP3 inflammasome are in pre-clinical development. Therefore, this review systematically highlights the pathogenic role of inflammasomes in MS, presenting an overview of research evidence linking inflammasome-related polymorphisms to MS susceptibility, and gathering evidence investigating NLRP3 biomarkers in MS. The role of the NLRP3 inflammasome in murine models of MS is furthermore discussed. Finally, a significant component of this review focuses on evidence that NLRP3 signalling components are novel drug targets in MS. Overall this review defines the role of the inflammasome in MS pathogenesis and identifies inflammasome inhibitor targets that warrant full investigation in MS and related disorders.

Phase 1 Trials of Gatralimab, a Next-Generation Humanized Anti-CD52 Monoclonal Antibody, in Participants with Progressive Multiple Sclerosis

INTRODUCTION

Lymphocyte depletion via anti-CD52 monoclonal antibody (mAb) therapy is an effective treatment strategy for relapsing-remitting multiple sclerosis (MS) but is associated with infusion/injection-associated reactions (IARs) and autoimmune-related adverse events (AEs). Gatralimab is a next-generation humanized anti-CD52 mAb.

METHODS

Two first-in-human trials were conducted in participants with progressive MS to assess the pharmacodynamics, pharmacokinetics, and safety of gatralimab administered via subcutaneous (SC) and intravenous (IV) routes, and to determine the effect of different comedication regimes on IARs to SC gatralimab. A Phase 1 trial (NCT02282826) included double-blind, placebo-controlled sequential ascending single IV (1, 3.5, and 12 mg) and SC (12, 36, and 60 mg) dose groups. A Phase 1b trial (NCT02977533) involved five groups who received SC gatralimab (36, 48, or 60 mg) and different comedications. A long-term safety (LTS) study (NCT02313285) examined safety and pharmacodynamics over 4 years.

RESULTS

Gatralimab produced depletion of lymphocytes (dose-dependently) and CD4+ regulatory T cells, with partial repopulation to normal values by approximately 12 months. Peak serum gatralimab concentrations followed dose-proportionality and were delayed by 6.0-7.5 days following SC administration. Treatment-emergent AEs, including IARs, were reported for most participants but were generally of mild or moderate severity, and treatment-emergent serious AEs were mostly MS-related. Methylprednisolone and antihistamine comedications were associated with reduced incidence of fevers and skin and subcutaneous tissue AEs, respectively. During the LTS study, one participant (3.0%) experienced an autoimmune-related AE (Basedow's disease), and subsequently died from pulmonary sepsis deemed unrelated to gatralimab by the investigator.

CONCLUSIONS

These data show that gatralimab achieves the desired pharmacodynamic effect of lymphocyte depletion followed by repopulation, and has an acceptable safety profile, including low risk of non-MS autoimmunity. Although gatralimab is no longer in development for MS, insights from these trials may inform the development of comedication regimes of future anti-CD52 mAbs and subcutaneous formulations of other lymphocyte-depleting mAbs.

TRIAL REGISTRATION

NCT02282826, NCT02977533, NCT02313285.

In situ formed aldehyde-modified hyaluronic acid hydrogel with polyelectrolyte complexes of aldehyde-modified chondroitin sulfate and gelatin: An approach for minocycline delivery

Polysaccharides like hyaluronan (HA) and chondroitin sulfate (CS) are native of the brain's extracellular matrix crucial for myelination and brain maturation. Despite extensive research on HA and CS as drug delivery systems (DDS), their high water solubility limits their application as drug carriers. This study introduces an injectable DDS using aldehyde-modified hyaluronic acid (HAOX) hydrogel containing polyelectrolyte complexes (PEC) formed with calcium, gelatin, and either CS or aldehyde-modified CS (CSOX) to deliver minocycline for Multiple Sclerosis therapy. PECs with CSOX enable covalent crosslinking to HAOX, creating immobilized PECs (HAOX_PECOX), while those with CS remain unbound (HAOX_PECS). The in situ forming DDS can be administered via a 20 G needle, with rapid gelation preventing premature leakage. The system integrates into an implanted device for minocycline release through either Fickian or anomalous diffusion, depending on PEC immobilization. HAOX_PECOX reduced burst release by 88 %, with a duration of 127 h for 50 % release. The DDS exhibited an elastic modulus of 3800 Pa and a low swelling ratio (0-1 %), enabling precise control of minocycline release kinetics. Released minocycline reduced IL-6 secretion in the Whole Blood Monocytes Activation Test, suggesting that DDS formation may not alter the biological activity of the loaded drug.

Feasibility and assessment of self-reported dietary recalls among newly diagnosed multiple sclerosis: a quasi-experimental pilot study

Background

Individuals who are newly diagnosed with clinically isolated syndrome (CIS) or relapsing-remitting multiple sclerosis (RRMS) may choose not to undergo disease-modifying therapies (DMTs) due to concerns about expenses or potential adverse effects. Thus, many individuals will opt for alternative therapies, such as dietary modifications. Among these dietary approaches, the modified Paleolithic elimination diet has shown promise for improving MS-related symptoms; however, restriction of certain food groups can lead to inadequate intake of nutrients.

Methods

Three-day self-reported 24-h dietary recalls using the Automated Self-Administered 24-h (ASA24) Dietary Assessment Tool were assessed during a 12-month quasi-experimental (i.e., non-randomized) trial among individuals who either voluntarily declined DMTs and received health behavior (HB) intervention, (n = 29) or included DMTs and opted for the standard of care (SOC; n = 15). Participants in the HB group received a multimodal intervention that included dietary modifications, a walking program, and breathing exercises. Usual intake of each micronutrient was estimated and then evaluated with the estimated average requirement (EAR)-cut point method.

Results

At 12 months, >80% of both HB and SOC groups completed 3 days of the self-reported 24-h recalls, indicating the potential feasibility of ASA24. From baseline to 12 months, the HB group had a decreased mean ratio in total grains (0.64; 95% CI 0.43-0.93; p = 0.02) and added sugars (0.52; 95% CI 0.35-0.75; p ≤ 0.001), and an increased mean ratio intake of cured meats (1.74; 95% CI 1.05-2.90; p = 0.04); whereas, the SOC group had a decreased mean ratio intake for beef, veal, pork, lamb, and game meat (0.60; 95% CI 0.40-0.90; p = 0.01). At baseline, both groups had high proportions with inadequate intake of vitamin E and calcium. The SOC group also had a high proportion with inadequate intake of vitamin D. By 12-months, the HB group exhibited severe proportions of nutrient inadequacies (>20% of the group) for vitamin D (43.5%), vitamin E (29.1%), calcium (69.9%), and copper (27.8%). The SOC group, following their own diet, had inadequacies for all the same micronutrients, except for copper, as the HB group. The SOC group also had additional inadequacies: vitamin A (21.3%), thiamin (26.3%), riboflavin (24.2%), folate (24.8%), vitamin B12 (27.8%), and zinc (28.2%).

Conclusion

Compared to the usual diet, adhering to the modified Paleolithic elimination diet, as a component of a 12-month multimodal intervention, may lead to reduced consumption of specific food groups, such as added sugars, as well as decreased risk of severe proportions of inadequacy for certain nutrients. The utilization of the ASA24 for acquiring dietary recalls from participants with MS may be feasible for future studies.

Clinical trial registration

clinicaltrials.gov identifier NCT04009005.

Analysis and visualization of the effect of multiple sclerosis on biological brain age

Introduction

The rate of neurodegeneration in multiple sclerosis (MS) is an important biomarker for disease progression but can be challenging to quantify. The brain age gap, which quantifies the difference between a patient's chronological and their estimated biological brain age, might be a valuable biomarker of neurodegeneration in patients with MS. Thus, the aim of this study was to investigate the value of an image-based prediction of the brain age gap using a deep learning model and compare brain age gap values between healthy individuals and patients with MS.

Methods

A multi-center dataset consisting of 5,294 T1-weighted magnetic resonance images of the brain from healthy individuals aged between 19 and 89 years was used to train a convolutional neural network (CNN) for biological brain age prediction. The trained model was then used to calculate the brain age gap in 195 patients with relapsing remitting MS (20-60 years). Additionally, saliency maps were generated for healthy subjects and patients with MS to identify brain regions that were deemed important for the brain age prediction task by the CNN.

Results

Overall, the application of the CNN revealed accelerated brain aging with a larger brain age gap for patients with MS with a mean of 6.98 ± 7.18 years in comparison to healthy test set subjects (0.23 ± 4.64 years). The brain age gap for MS patients was weakly to moderately correlated with age at disease onset (ρ = -0.299, p < 0.0001), EDSS score (ρ = 0.206, p = 0.004), disease duration (ρ = 0.162, p = 0.024), lesion volume (ρ = 0.630, p < 0.0001), and brain parenchymal fraction (ρ = -0.718, p < 0.0001). The saliency maps indicated significant differences in the lateral ventricle (p < 0.0001), insula (p < 0.0001), third ventricle (p < 0.0001), and fourth ventricle (p = 0.0001) in the right hemisphere. In the left hemisphere, the inferior lateral ventricle (p < 0.0001) and the third ventricle (p < 0.0001) showed significant differences. Furthermore, the Dice similarity coefficient showed the highest overlap of salient regions between the MS patients and the oldest healthy subjects, indicating that neurodegeneration is accelerated in this patient cohort.

Discussion

In conclusion, the results of this study show that the brain age gap is a valuable surrogate biomarker to measure disease progression in patients with multiple sclerosis.

Multiple sclerosis: a narrative overview of current pharmacotherapies and emerging treatment prospects

Multiple sclerosis (MS) is a chronic autoimmune disease characterized by pathological processes of demyelination, subsequent axonal loss, and neurodegeneration within the central nervous system. Despite the availability of numerous disease-modifying therapies that effectively manage this condition, there is an emerging need to identify novel therapeutic targets, particularly for progressive forms of MS. Based on contemporary insights into disease pathophysiology, ongoing efforts are directed toward developing innovative treatment modalities. Primarily, monoclonal antibodies have been extensively investigated for their efficacy in influencing specific pathological pathways not yet targeted. Emerging approaches emphasizing cellular mechanisms, such as chimeric antigen receptor T cell therapy targeting immunological cells, are attracting increasing interest. The evolving understanding of microglia and the involvement of ferroptotic mechanisms in MS pathogenesis presents further avenues for targeted therapies. Moreover, innovative treatment strategies extend beyond conventional approaches to encompass interventions that target alterations in microbiota composition and dietary modifications. These adjunctive therapies hold promise as complementary methods for the holistic management of MS. This narrative review aims to summarize current therapies and outline potential treatment methods for individuals with MS.

Integrated elemental analysis supports targeting copper perturbations as a therapeutic strategy in multiple sclerosis

Multiple sclerosis (MS) is a debilitating affliction of the central nervous system (CNS) that involves demyelination of neuronal axons and neurodegeneration resulting in disability that becomes more pronounced in progressive forms of the disease. The involvement of neurodegeneration in MS underscores the need for effective neuroprotective approaches necessitating identification of new therapeutic targets. Herein, we applied an integrated elemental analysis workflow to human MS-affected spinal cord tissue utilising multiple inductively coupled plasma-mass spectrometry methodologies. These analyses revealed shifts in atomic copper as a notable aspect of disease. Complementary gene expression and biochemical analyses demonstrated that changes in copper levels coincided with altered expression of copper handling genes and downstream functionality of cuproenzymes. Copper-related problems observed in the human MS spinal cord were largely reproduced in the experimental autoimmune encephalomyelitis (EAE) mouse model during the acute phase of disease characterised by axonal demyelination, lesion formation, and motor neuron loss. Treatment of EAE mice with the CNS-permeant copper modulating compound CuII(atsm) resulted in recovery of cuproenzyme function, improved myelination and lesion volume, and neuroprotection. These findings support targeting copper perturbations as a therapeutic strategy for MS with CuII(atsm) showing initial promise.

Complementary strategies to be used in conjunction with animal models for multiple sclerosis drug discovery: adapting preclinical validation of drug candidates to the need of remyelinating strategies

INTRODUCTION

The quest for novel MS therapies focuses on promoting remyelination and neuroprotection, necessitating innovative drug design paradigms and robust preclinical validation methods to ensure efficient clinical translation. The complexity of new drugs action mechanisms is strengthening the need for solid biological validation attempting to address all possible pitfalls and biases precluding access to efficient and safe drugs.

AREAS COVERED

In this review, the authors describe the different in vitro and in vivo models that should be used to create an integrated approach for preclinical validation of novel drugs, including the evaluation of the action mechanism. This encompasses 2D, 3D in vitro models and animal models presented in such a way to define the appropriate use in a global process of drug screening and hit validation.

EXPERT OPINION

None of the current available tests allow the concomitant evaluation of anti-inflammatory, immune regulators or remyelinating agents with sufficient reliability. Consequently, the collaborative efforts of academia, industry, and regulatory agencies are essential for establishing standardized protocols, validating novel methodologies, and translating preclinical findings into clinically meaningful outcomes.

Targeting the PAC1 receptor mitigates degradation of myelin and synaptic markers and diminishes locomotor deficits in the cuprizone demyelination model

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system with a strong neuroinflammatory component. Current treatments principally target the immune system but fail to preserve long-term myelin health and do not prevent neurological decline. Studies over the past two decades have shown that the structurally related neuropeptides VIP and PACAP (vasoactive intestinal peptide and pituitary adenylate cyclase-activating polypeptide, respectively) exhibit pronounced anti-inflammatory activities and reduce clinical symptoms in MS disease models, largely via actions on their bivalent VIP receptor type 1 and 2. Here, using the cuprizone demyelination model, we demonstrate that PACAP and VIP, and strikingly the PACAP-selective receptor PAC1 agonist maxadilan, prevented locomotor deficits in the horizontal ladder and open field tests. Moreover, only PACAP and maxadilan were able to prevent myelin deterioration, as assessed by a reduction in the expression of the myelin markers proteolipid protein 1, oligodendrocyte transcription factor 2, quaking-7 (APC) and Luxol Fast Blue staining. Furthermore, PACAP and maxadilan (but not VIP), prevented striatal synaptic loss and diminished astrocyte and microglial activation in the corpus callosum of cuprizone-fed mice. In vitro, PACAP or maxadilan prevented lipopolysaccharide (LPS)-induced polarisation of primary astrocytes at 12-24 h, an effect that was not seen with maxadilan in LPS-stimulated microglia. Taken together, our data demonstrates for the first time that PAC1 agonists provide distinctive protective effects against white matter deterioration, neuroinflammation and consequent locomotor dysfunctions in the cuprizone model. The results indicate that targeting the PAC1 receptor may provide a path to treat myelin-related diseases in humans.

Walking performance differs between people with multiple sclerosis who perform distinct types of exercise

Aim: To determine whether walking performance differed between people with multiple sclerosis (MS) who performed distinct types, volumes and intensities of exercise.Materials & methods: Forty-five people with relapsing-remitting MS performed two trials of the 2-min walk test, one at a preferred speed and another at a fast speed. Gait metrics were measured by wireless inertial sensors. Participants reported the type (aerobic, resistance), volume and intensity of exercise performed.Results: Walking speed reserve and gait variability were better in participants who performed combined aerobic and resistance exercises compared with those who performed aerobic-only exercise.Conclusion: Walking performance differs in people with mild MS disability based on the type and volume of exercise performed.

Gene expression and alternative splicing analysis in a large-scale Multiple Sclerosis study

Background

Multiple Sclerosis (MS) is an autoimmune neurodegenerative disease affecting approximately 3 million people globally. Despite rigorous research on MS, aspects of its development and progression remain unclear. Understanding molecular mechanisms underlying MS is crucial to providing insights into disease pathways, identifying potential biomarkers for early diagnosis, and revealing novel therapeutic targets for improved patient outcomes.

Methods

We utilized publicly available RNA-seq data (GSE138614) from post-mortem white matter tissues of five donors without any neurological disorder and ten MS patient donors. This data was interrogated for differential gene expression, alternative splicing and single nucleotide variants as well as for functional enrichments in the resulting datasets.

Results

A comparison of non-MS white matter (WM) to MS samples yielded differentially expressed genes involved in adaptive immune response, cell communication, and developmental processes. Genes with expression changes positively correlated with tissue inflammation were enriched in the immune system and receptor interaction pathways. Negatively correlated genes were enriched in neurogenesis, nervous system development, and metabolic pathways. Alternatively spliced transcripts between WM and MS lesions included genes that play roles in neurogenesis, myelination, and oligodendrocyte differentiation, such as brain enriched myelin associated protein (BCAS1), discs large MAGUK scaffold protein 1 (DLG1), KH domain containing RNA binding (QKI), and myelin basic protein (MBP). Our approach to comparing normal appearing WM (NAWM) and active lesion (AL) from one donor and NAWM and chronic active (CA) tissues from two donors, showed that different IgH and IgK gene subfamilies were differentially expressed. We also identified pathways involved in white matter injury repair and remyelination in these tissues. Differentially spliced genes between these lesions were involved in axon and dendrite structure stability. We also identified exon skipping events and spontaneous single nucleotide polymorphisms in membrane associated ring-CH-type finger 1 (MARCHF1), UDP glycosyltransferase 8 (UGT8), and other genes important in autoimmunity and neurodegeneration.

Conclusion

Overall, we identified unique genes, pathways, and novel splicing events affecting disease progression that can be further investigated as potential novel drug targets for MS treatment.

Adherence, Persistence, Switching and Costs of Injectable and Oral Therapies for Multiple Sclerosis. Real Life Analysis Over 6 Years of Treatment

Background: Adherence and persistence to treatment with disease-modifying therapies (DMTs) is a predictor of the efficacy of treatment. Aims: The objectives of the study were the analysis of adherence, persistence, switches, and costs of the drugs used in MS. Methods: This is a retrospective non-interventional pharmacological observational study of 610 patients diagnosed with Relapsing-Remitting Multiple Sclerosis (RRMS) under therapy between January 2007 and September 2022. Results: Adherence values were greater than 0.75 for all the drugs in considered for the study. The mean persistence value was 2.5 years on the analysis performed on the first-line treatment. Conclusion: In a therapy in which adherence is predominant, but not exclusive to therapy efficacy, persistence to the drug is synonymous with drug efficacy.

Patterns of disease-modifying therapy utilization before, during, and after pregnancy and postpartum relapses in women with multiple sclerosis

BACKGROUND

Pregnancy is a common consideration for people with multiple sclerosis (pwMS); MS onset is typically between 20 and 45 years of age, during potential child-bearing years. Pregnancy and postpartum care are a significant factor influencing disease-modifying therapy (DMT) selection for many pwMS. To date, few DMTs are considered safe to continue during pregnancy and real-world treatment patterns before, during, and after pregnancy remain uncharacterized. Evolving guidance is needed regarding how to optimize management of the pregnancy and postpartum periods considering the changing DMT landscape. This analysis in two large claims databases describes DMT utilization for the treatment of MS before, during, and after pregnancy and relapse patterns during pregnancy and postpartum.

METHODS

In this retrospective, observational study, the US MarketScan Commercial and Medicaid claims database was assessed for female patients aged 18-55 years with ≥1 insurance claim submitted under the diagnosis code of MS from 01 January 2016-30 April 2021 and continuous enrollment eligibility from ≥6 months prior to pregnancy date (preconception) through 6 months of follow-up following delivery (postpartum period). Comorbid conditions were examined preconception and postpartum, including anxiety and depression. Moderate/severe relapse was defined as MS-related hospitalization, or an outpatient visit and one claim within 7 days of the visit with steroids or total plasma exchange.

RESULTS

A total of 944 patients (mean [standard deviation] age, 32.4 [5.0] years) were eligible; 688 (73%) were commercially insured and 256 (27%) received Medicaid. Compared with commercially-insured patients, use of DMTs was lower among Medicaid patients at 6 months preconception (25.4% vs 40.4%; p < 0.001), with similar patterns observed both during pregnancy and postpartum. Overall, prevalence of DMT use declined sharply during pregnancy, from 36.3% of patients in the 6 months preconception to 17.9%, 5.3%, and 5.8% in trimesters 1, 2 and 3, respectively. Postpartum DMT utilization increased to 20.9% at 0-3 months and 24.4% at 4-6 months. Of all patients in the preconception period, the most frequently used DMTs were glatiramer acetate (14.3%), dimethyl fumarate (6.0%), interferon (5.2%), and natalizumab (4.9%). Due to small sample size, information was limited for anti-CD20s and alemtuzumab. The proportion of patients with any moderate/severe relapse declined over pregnancy (preconception, n = 82 [8.7%]; pregnancy, n = 25 [2.6%]), but increased postpartum (n = 94 [10.0%]). Of the 889 patients who stopped DMT during pregnancy, the risk of postpartum relapses was lower in the patients who resumed DMT postpartum (10/192) than in patients who did not (76/697) (5.2% vs 10.9%; odds ratio, 0.455 [95% confidence interval 0.216-0.860], p = 0.018). Cases of postpartum depression and anxiety were significantly lower in commercially-insured patients vs Medicaid patients (postpartum depression, 13.7% vs 27.0%, p < 0.01; postpartum anxiety, 16.3% vs 30.5%, p < 0.01).

CONCLUSION

DMT utilization declined sharply during pregnancy; it gradually increased postpartum but remained below pre-pregnancy use. The proportion of pwMS experiencing a moderate/severe relapse and number of relapses declined over pregnancy but increased postpartum. Reinitiation of DMT during the postpartum period was associated with lower risk of relapses, supporting a role for early reinitiation of DMT postpartum.

STUDY SUPPORTED BY

Biogen.

Disease-modifying therapies and hematological disorders: a systematic review of case reports and case series

Introduction

Disease modifying therapies (DMTs) used to treat multiple sclerosis (MS) can be associated to the occurrence of hematological disorders. This systematic review aims to provide an overview of these events occurring in real-life conditions, by describing case reports and series published in the literature.

Methods

A literature search of all publications up to January 5th 2024 on the Medline and Embase databases was carried out. The results were presented both in the text and in tables.

Results

Sixty-seven case reports/series were included in this review, of which more than half related to alemtuzumab, natalizumab and ocrelizumab. The publication date of included studies ranged from 2006 to 2024. The majority of case reports and series described the occurrence of late-onset hematological disorders (events that occurred more than 30 days after the first DMT administration), mainly represented by case of neutropenia, autoimmune hemolytic anemia and immune thrombocytopenia. All cases reported a favorable outcome, apart one case report that described a fatal case. Among included cases, 4 articles, all related to natalizumab, described the occurrence of myeloid disorders in 13 newborns from mother receiving the DMT.

Discussion

Considering the limitations identified in the majority of included studies, further ad hoc studies are strongly needed to better evaluate the hematological disorders of DMTs. Meantime, the strict monitoring of treated patients for the occurrence of these toxicities should be highly recommended.

Modeling and simulation for prediction of multiple sclerosis progression

In light of extensive work that has created a wide range of techniques for predicting the course of multiple sclerosis (MS) disease, this paper attempts to provide an overview of these approaches and put forth an alternative way to predict the disease progression. For this purpose, the existing methods for estimating and predicting the course of the disease have been categorized into clinical, radiological, biological, and computational or artificial intelligence-based markers. Weighing the weaknesses and strengths of these prognostic groups is a profound method that is yet in need and works directly at the level of diseased connectivity. Therefore, we propose using the computational models in combination with established connectomes as a predictive tool for MS disease trajectories. The fundamental conduction-based Hodgkin-Huxley model emerged as promising from examining these studies. The advantage of the Hodgkin-Huxley model is that certain properties of connectomes, such as neuronal connection weights, spatial distances, and adjustments of signal transmission rates, can be taken into account. It is precisely these properties that are particularly altered in MS and that have strong implications for processing, transmission, and interactions of neuronal signaling patterns. The Hodgkin-Huxley (HH) equations as a point-neuron model are used for signal propagation inside a small network. The objective is to change the conduction parameter of the neuron model, replicate the changes in myelin properties in MS and observe the dynamics of the signal propagation across the network. The model is initially validated for different lengths, conduction values, and connection weights through three nodal connections. Later, these individual factors are incorporated into a small network and simulated to mimic the condition of MS. The signal propagation pattern is observed after inducing changes in conduction parameters at certain nodes in the network and compared against a control model pattern obtained before the changes are applied to the network. The signal propagation pattern varies as expected by adapting to the input conditions. Similarly, when the model is applied to a connectome, the pattern changes could give an insight into disease progression. This approach has opened up a new path to explore the progression of the disease in MS. The work is in its preliminary state, but with a future vision to apply this method in a connectome, providing a better clinical tool.

Iraqi experts consensus on the management of relapsing remitting multiple sclerosis in adults

OBJECTIVE

In Iraq, a lack of evidence-based management protocols for diagnosing, treating, and managing multiple sclerosis (MS) poses risks of suboptimal outcomes and clinical practice variability and potential harm to the patients. This study aimed to develop consensus recommendations regarding the diagnosis and management of MS in Iraq, specifically focusing on treatment-naïve patients, suboptimal responders, and women of childbearing age during preconception, pregnancy planning, and lactation.

A survey was conducted to collect feedback from a panel of ten key opinion leaders (KOLs), who evaluated and discussed the statements to determine agreement levels. The mini-Delphi method was employed to establish a consensus on the management recommendations, and a meeting was held to analyze the responses and ensure that the recommendations were based on current evidence and followed a consensus-driven approach.

RESULTS

The Revised McDonald Criteria is recommended for MS diagnosis, which includes evidence of dissemination of disease characteristics in space and time. Disease activity and progression can be monitored using relapses, MRI activity, and short-term disability progression. Experts suggest initiating treatment at diagnosis using higher efficacy medications, such as cladribine, ocrelizumab, natalizumab, or rituximab, for patients with high disease activity after careful risk stratification. Injectable interferon preparations have a tolerable risk profile but have drawbacks, such as the route and frequency of administration. Overall, disease-modifying therapies (DMTs) have shown efficacy in reducing relapse rates and short-term disability.

CONCLUSION

This article presents expert panel recommendations for managing MS in Iraq, taking into account international guidelines, medication updates, and local resources. However, practical questions remain regarding the real-world use of disease-modifying therapies (DMTs). Personalizing treatment based on disease severity, prognosis, and individual risk factors while adhering to guidelines is crucial. A collaborative approach between healthcare providers and patients, considering individual preferences, is vital for achieving treatment goals.

The Evolving Role of Monomethyl Fumarate Treatment as Pharmacotherapy for Relapsing-Remitting Multiple Sclerosis

Multiple sclerosis is the most common autoimmune disease affecting the central nervous system (CNS) worldwide. Multiple sclerosis involves inflammatory demyelination of nerve fibers in the CNS, often presenting with recurrent episodes of focal sensory or motor deficits associated with the region of the CNS affected. The prevalence of this disease has increased rapidly over the last decade. Despite the approval of many new pharmaceutical therapies in the past 20 years, there remains a growing need for alternative therapies to manage the course of this disease. Treatments are separated into two main categories: management of acute flare versus long-term prevention of flares via disease-modifying therapy. Primary drug therapies for acute flare include corticosteroids to limit inflammation and symptomatic management, depending on symptoms. Several different drugs have been recently approved for use in modifying the course of the disease, including a group of medications known as fumarates (e.g., dimethyl fumarate, diroximel fumarate, monomethyl fumarate) that have been shown to be efficacious and relatively safe. In the present investigation, we review available evidence focused on monomethyl fumarate, also known as Bafiertam®, along with bioequivalent fumarates for the long-term treatment of relapsing-remitting multiple sclerosis.