Evidence map›Paper›PMID 40332536›Full record

ReviewInternational journal of molecular sciences2025

New Frontiers in Multiple Sclerosis Treatment: From Targeting Costimulatory Molecules to Bispecific Antibodies.

Megan Reidy, Meerah Khan, Elizabeth A Mills, Qi Wu, Josh Garton, Dean E Draayer, Insha Zahoor, Shailendra Giri, Robert C Axtell, Yang Mao-Draayer

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Megan ReidyAutoimmunity Center of Excellence, Multiple Sclerosis Center of Excellence, Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
Meerah KhanAutoimmunity Center of Excellence, Multiple Sclerosis Center of Excellence, Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
Elizabeth A MillsAlzheimer's Drug Discovery Foundation, 57 West 57th Street, Suite 904, New York, NY 10019, USA.
Qi WuDepartment of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA.
Josh GartonAutoimmunity Center of Excellence, Multiple Sclerosis Center of Excellence, Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.ORCID 0000-0002-4549-1224
Dean E DraayerAutoimmunity Center of Excellence, Multiple Sclerosis Center of Excellence, Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
Insha ZahoorDepartment of Neurology, Henry Ford Health, Detroit, MI 48202, USA.ORCID 0000-0001-9919-1959
Shailendra GiriDepartment of Neurology, Henry Ford Health, Detroit, MI 48202, USA.ORCID 0000-0002-7123-829X
Robert C AxtellAutoimmunity Center of Excellence, Multiple Sclerosis Center of Excellence, Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.ORCID 0000-0001-6041-4588
Yang Mao-DraayerAutoimmunity Center of Excellence, Multiple Sclerosis Center of Excellence, Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.

Funding

Oklahoma ACE: Molecular Destruction of Autoimmune Disease to Aid Clinical Trail SuccessUM1AI144292 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI JUDITH A JAMES · 2019 to 2026
$3.3M
Novel immunotherapy against MOG antibody diseaseR44TR005293 · NCATS · EVOQ THERAPEUTICS, INC. · PI DANIEL, WESTON · 2024 to 2025
$2.0M
NCATS NIH HHS R44 TR005293NIAID NIH HHS UM1 AI144292
6 · The paper itself

Abstract

Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system. The therapeutic landscape for MS has evolved significantly since the 1990s, with the development of more than 20 different disease-modifying therapies (DMTs). These therapies effectively manage relapses and inflammation, but most have failed to meaningfully prevent disease progression. While classically understood as a T cell-mediated condition, the most effective DMTs in slowing progression also target B cells. Novel classes of MS therapies in development, including anti-CD40L monoclonal antibodies, CD19 chimeric antigen receptor (CAR) T cells, and Bruton's tyrosine kinase (BTK) inhibitors show greater capacity to target and eliminate B cells in the brain/CNS, as well as impacting T-cell and innate immune compartments. These approaches may help tackle the disease at its immunopathological core, addressing both peripheral and central immune responses that drive MS progression. Another emerging therapeutic strategy is to use bispecific antibodies, which have the potential for dual-targeting various disease aspects such as immune activation and neurodegeneration. As such, the next generation of MS therapies may be the first to reduce both inflammatory demyelination and disease progression in a clinically meaningful way. Their ability to target specific immune cell populations while minimizing broad immune suppression could also lead to better safety profiles. Here, we explore the biological rationale, advantages, limitations, and clinical progress of these emerging immunotherapies for relapsing-remitting and progressive forms of MS.

Indexed as

Antibodies, BispecificMultiple SclerosisAnimalsB-LymphocytesHumansImmunotherapyT-LymphocytesAntibodies, BispecificBTKiCAR T cellCD19CD20CD40LDMTmultiple sclerosis

Identifiers

PMID40332536
PMCPMC12028294

What OpenQuestion holds

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Registered trials

None linked

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.