Evidence map›Paper›PMID 39346564›Full record

ReviewFrontiers in pharmacology2024

The leukotriene receptor antagonist montelukast as a potential therapeutic adjuvant in multiple sclerosis - a review.

Frank Pietrantonio, Alex Serreqi, Horst Zerbe, Per Svenningsson, Ludwig Aigner

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. 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. CysLTJournal of neurochemistry · 2025
    Article
  2. Review
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

5 authors.

Frank PietrantonioIntelGenX Corp., Saint-Laurent, QC, Canada.
Alex SerreqiIntelGenX Corp., Saint-Laurent, QC, Canada.
Horst ZerbeIntelGenX Corp., Saint-Laurent, QC, Canada.
Per SvenningssonDepartment of Clinical Neuroscience, Neuro Svenningsson, Karolinska Universitetssjukhuset, Stockholm, Sweden.
Ludwig AignerInstitute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Sclerosis (MS) is a multifactorial autoimmune disease of the central nervous system (CNS). It is characterized by a heightened activation of the immune system with ensuing inflammation, demyelination and neurodegeneration with consequences such as motor, sensory, cognitive, as well as autonomic dysfunctions. While a range of immune-modulatory drugs have shown certain efficacy in alleviating pathology and symptoms, none of the currently available therapeutics regenerates the damaged CNS to restore function. There is emerging evidence for leukotrienes and leukotriene receptors being involved in the various aspects of the MS pathology including neuroinflammation and de/remyelination. Moreover, leukotriene receptor antagonists such as the asthma drug montelukast diminish inflammation and promote regeneration/remyelination. Indeed, montelukast has successfully been tested in animal models of MS and a recent retrospective case-control study suggests that montelukast treatment reduces relapses in patients with MS. Therefore, we propose montelukast as a therapeutic adjuvant to the standard immune-modulatory drugs with the potential to reduce pathology and promote structural and functional restoration. Here, we review the current knowledge on MS, its pathology, and on the potential of leukotriene receptor antagonists as therapeutics for MS.

Indexed as

drug developmentneuroinflammationregenerationremyelinationrestoration

Identifiers

PMID39346564
PMCPMC11427386

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.