ArticlePloS one2020
Differential effects of disease modifying drugs on peripheral blood B cell subsets: A cross sectional study in multiple sclerosis patients treated with interferon-β, glatiramer acetate, dimethyl fumarate, fingolimod or natalizumab.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Effects of High Efficacy Multiple Sclerosis Disease Modifying Drugs on the Immune Synapse: A Systematic Review.Current pharmaceutical design · 2024Pooled it
- Role of B Cell Profile for Predicting Secondary Autoimmunity in Patients Treated With Alemtuzumab.Frontiers in immunology · 2021Trial
- Longitudinal changes of serum immunoglobulins under ocrelizumab: factors associated with hypogammaglobulinemia and infection risk in a real-world multiple sclerosis cohort.Neurological research and practice · 2026Article
- Extensive peripheral immunoglobulin repertoire analyses in people with multiple sclerosis reveal disease-specific signatures and distinct treatment effects of disease modifying drugs.Journal of neuroinflammation · 2026Article
- Prevalence of hypogammaglobulinemia after non-anti-CD20 therapies and impact of switching to rituximab/ocrelizumab in multiple sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Article
- Article
- Apheresis for the treatment of relapses in MS and NMOSD: reduced antibody reactivities, gene expression changes and potential clinical response indicators.Frontiers in immunology · 2025Article
- Intracerebral haemorrhage in multiple sclerosis: assessing the impact of disease-modifying medications.European journal of medical research · 2024Review
- Repeated iv anti-CD20 treatment in multiple sclerosis: Long-term effects on peripheral immune cell subsets.Annals of clinical and translational neurology · 2024Article
- Response to Fingolimod in Multiple Sclerosis Patients Is Associated with a Differential Transcriptomic Regulation.International journal of molecular sciences · 2024Article
- In-depth analysis of serum antibodies against Epstein-Barr virus lifecycle proteins, and EBNA1, ANO2, GlialCAM and CRYAB peptides in patients with multiple sclerosis.Frontiers in immunology · 2024Article
- Peripheral memory B cells in multiple sclerosis vs. double negative B cells in neuromyelitis optica spectrum disorder: disease driving B cell subsets during CNS inflammation.Frontiers in cellular neuroscience · 2024Review
- Effect of Previous Disease-Modifying Therapy on Treatment Effectiveness for Patients Treated With Ocrelizumab.Neurology(R) neuroimmunology & neuroinflammation · 2023Article
- Dimethyl fumarate-related immune and transcriptional signature is associated with clinical response in multiple sclerosis-treated patients.Frontiers in immunology · 2023Article
- The impact of sphingosine-1-phosphate receptor modulators on COVID-19 and SARS-CoV-2 vaccination.Multiple sclerosis and related disorders · 2023Review
- Cladribine treatment specifically affects peripheral blood memory B cell clones and clonal expansion in multiple sclerosis patients.Frontiers in immunology · 2023Article
- Tumefactive demyelination after covid-19 successfully treated with betainterferon 1A.Radiology case reports · 2022Article
- Neurological update: treatment escalation in multiple sclerosis patients refractory to fingolimod-potentials and risks of subsequent highly active agents.Journal of neurology · 2022Article
- Reviewing the Significance of Blood-Brain Barrier Disruption in Multiple Sclerosis Pathology and Treatment.International journal of molecular sciences · 2021Review
- Toll-Like Receptor Homolog CD180 Expression Is Diminished on Natural Autoantibody-Producing B Cells of Patients with Autoimmune CNS Disorders.Journal of immunology research · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral disease modifying drugs (DMDs) have been approved for the treatment of multiple sclerosis (MS), however, little is known about their differential impact on peripheral blood (PB) B cell subsets.
methodsWe performed a cross sectional study on PB B cells in MS patients treated with interferon-β (n = 25), glatiramer acetate (n = 19), dimethyl fumarate (n = 15), fingolimod (n = 16) or natalizumab (n = 22), untreated MS patients (n = 20), and in patients with non-inflammatory neurological diseases (n = 12). Besides analyzing routine laboratory data, flow cytometry was performed to analyze naïve B cells (CD19+CD20+CD27-IgD+), non-class switched (CD19+CD20+CD27+IgD+) and class-switched memory B cells (CD19+CD20+CD27+IgD-), double negative B cells (CD19+CD20lowCD27-IgD-) and plasmablasts (CD19+CD20lowCD27+CD38++).
resultsTreatment associated changes were found for the overall B cell pool as well as for all B cell subsets. Natalizumab increased absolute numbers and percentage of all B cells mainly by expanding the memory B cell pool. Fingolimod decreased absolute numbers of all B cell subsets and the percentage of total B cells. Fingolimod, dimethyl fumarate and interferon-β treatments were associated with an increase in the fraction of naïve B cells while class switched and non-class switched memory B cells showed decreased percentages.
conclusionOur results highlight differential effects of DMDs on the PB B cell compartment. Across the examined treatments, a decreased percentage of memory B cells was found in dimethyl fumarate, interferon-β and fingolimod treated patients which might contribute to the drugs' mode of action in MS. Further studies are necessary to decipher the exact role of B cell subsets during MS pathogenesis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.