Safety and efficacy of daclizumab beta in patients with relapsing multiple sclerosis in a 5-year open-label study (EXTEND): final results following early termination

Knowledge domain and trend of disease-modifying therapies for multiple sclerosis: A study based on CiteSpace

Objective

To explore the current status and trends of disease-modifying therapies (DMTs) for multiple sclerosis through bibliometric and visual analyses of the related literature.

Methods

Relevant literature from the Web of Science Core Collection from 2017 to 2022 was retrieved, and a bibliometric analysis was performed using CiteSpace 6.1. R2. Thesoftware was used to generate visual graphs of the author, institution, country, keyword co-occurrence, and literature co-citation network.

Results

A total of 1719 manuscripts were retrieved, including 1397 original studies and 322 reviews. In the past five years, Patti F and the University of London were the authors and institutions generating the largest number of publications, respectively, and there was active collaboration between authors and institutions. The United States was the largest contributor to the relevant literature, and the high-frequency keywords in the field of multiple sclerosis disease-modifying therapies in the past five years mainly included multiple sclerosis, disease-modifying therapy, double-blind, disability, natalizumab, effectiveness, fingolimod, glatiramer acetate, and dimethyl fumarate.

Conclusions

Current research hotspots and trends in DMTs in multiple sclerosis focus on the effectiveness of different DMTs drugs in treating patients with MS and how to optimise treatment strategies. In the context of the COVID-19 pandemic, the correlation between MS and COVID-19 infection and the method to manage and address the adverse effects of DMTs on multiple sclerosis patients is also future research trends.

Neutrophil Nanovesicle Protects against Experimental Autoimmune Encephalomyelitis through Enhancing Myelin Clearance by Microglia

Timely clearance of myelin debris is the premise of neuroinflammation termination and tissue regeneration in multiple sclerosis (MS). Microglia are the main scavengers of myelin debris in MS lesions, but its phagocytic capability is limited in MS patients. Here, we develop neutrophil-derived nanovesicles (NNVs) to enhance the efficiency of myelin debris clearance in microglia for MS therapy. RNA sequencing (RNAseq) results demonstrate that NNVs treatment ameliorates lesional neuroinflammation of experimental autoimmune encephalomyelitis (EAE), a mouse model of MS. Consequently, EAE mice exhibit favorable neurological functions and white matter integrity after NNVs treatment. Specifically, NNVs treatment upregulates the expression of nuclear factor E2-related factor 2 (NRF2) in microglia, as revealed by Assay for Transposase Accessible Chromatin using sequencing (ATACseq). We also demonstrate that NRF2 can activate the transcription of RUBCN (RUN domain and cysteine-rich domain containing Beclin 1-interacting protein), which in turn enhances LC3-associated phagocytosis (LAP) in microglia. As a result, myelin debris engulfed by microglia can be efficiently catabolized in NNVs-treated EAE mice without obvious side effects. Together, this study proves that NNVs can modulate neuroinflammation by clearing myelin debris and is a promising MS treatment strategy.

Impact of histone modifier-induced protection against autoimmune encephalomyelitis on multiple sclerosis treatment

Multiple sclerosis is a progressive demyelinating central nervous system disorder with unknown etiology. The condition has heterogeneous presentations, including relapsing-remitting multiple sclerosis and secondary and primary progressive multiple sclerosis. The genetic and epigenetic mechanisms underlying these various forms of multiple sclerosis remain elusive. Many disease-modifying therapies approved for multiple sclerosis are broad-spectrum immunomodulatory drugs that reduce relapses but do not halt the disease progression or neuroaxonal damage. Some are also associated with many severe side effects, including fatalities. Improvements in disease-modifying treatments especially for primary progressive multiple sclerosis remain an unmet need. Several experimental animal models are available to decipher the mechanisms involved in multiple sclerosis. These models help us decipher the advantages and limitations of novel disease-modifying therapies for multiple sclerosis.

What Have Failed, Interrupted, and Withdrawn Antibody Therapies in Multiple Sclerosis Taught Us?

In the past two decades, monoclonal antibodies (mAbs) have revolutionized the treatment of multiple sclerosis (MS). However, a remarkable number of mAbs failed due to negative study results were withdrawn because of unexpected serious adverse events (SAEs) or due to studies being halted for other reasons. While trials with positive outcomes are usually published in prestigious journals, negative trials are merely published as abstracts or not at all. This review summarizes MS mAbs that have either failed in phase II-III trials, have been interrupted for various reasons, or withdrawn from the market since 2015. The main conclusions that can be drawn from these 'negative' experiences are as follows. mAbs that have been proven to be safe in other autoimmune conditions, will not have the same safety profile in MS due to immunopathogenetic differences in these diseases (e.g., daclizumab). Identification of SAEs in clinical trials is difficult highlighting the importance of phase IV studies. Memory B cells are central players in MS immunopathogenesis (e.g., tabalumab). The pathophysiological mechanisms of disease progression are independent of leukocyte 'outside-in' traffic which drives relapses in MS. Therefore, therapies for progressive MS must be able to sufficiently cross the blood-brain barrier. Sufficiently long trial duration and multicomponent outcome measures are important for clinical studies in progressive MS. The success of trials on remyelination-promoting therapies mainly depends on the sufficient high dose of mAb, the optimal readout for 'proof of concept', time of treatment initiation, and appropriate selection of patients. Failed strategies are highly important to better understand assumed immunopathophysiological mechanisms and optimizing future trial designs.