Evidence map›Paper›PMID 40924614›Full record

ArticleACS chemical neuroscience2025

Niraparib Demonstrates Therapeutic Potential in Multiple Sclerosis through Inhibition of IL-17A Receptor Interaction and Promotion of Remyelination.

Muge Didem Orhan, Lalehan Oktay, Ayşe Irem Cınar, Aybek Kagan Yesil, Huseyin Tunc, Fatih Eren, Serdar Durdagi, Timucin Avsar

Abstract read
In one paragraph

Article in ACS chemical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. AI-validated fusion proteins for local inhibition of interleukin-17A.Journal of controlled release : official journal of the Controlled Release Society · 2026
    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

8 authors.

Muge Didem OrhanNeuroscience, Graduate School of Education, Bahçeşehir University, Istanbul 34353, Turkey.
Lalehan OktayComputational Biology and Molecular Simulations Laboratory, Department of Biophysics, Faculty of Medicine, Bahçeşehir University, Istanbul 34353, Turkey.
Ayşe Irem CınarNeuroscience Program, University of Bonn, Bonn 53113, Germany.
Aybek Kagan YesilNeuroscience Program, University of Bonn, Bonn 53113, Germany.
Huseyin TuncDepartment of Biostatistics and Medical Informatics, Bahçeşehir University, Istanbul 34353, Turkey.ORCID 0000-0001-6450-5380
Fatih ErenDepartment of Medical Biology, School of Medicine, Marmara University, Istanbul 34353, Turkey.
Serdar DurdagiComputational Biology and Molecular Simulations Laboratory, Department of Biophysics, Faculty of Medicine, Bahçeşehir University, Istanbul 34353, Turkey.
Timucin AvsarDepartment of Medical Biology, Faculty of Medicine, Bahçeşehir University, Istanbul 34353, Turkey.ORCID 0000-0001-9014-3838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IL-17A is a pro-inflammatory cytokine that significantly contributes to the pathogenesis of autoimmune diseases, including multiple sclerosis (MS). Previous studies have suggested that PARP-1 inhibitors can modulate IL-17A-mediated inflammation, prompting the investigation of Niraparib, an FDA-approved PARP-1 inhibitor, as a potential therapeutic agent for MS. In this study, we hypothesized that Niraparib could disrupt the interaction between IL-17A and its receptor, IL-17RA. To evaluate this, we employed a binary quantitative structure-activity relationship (QSAR) model against anti-inflammatory diseases, which indicated Niraparib's potential efficacy against MS. In silico analyses were conducted to identify key interaction sites and critical amino acid residues involved in the IL-17A/IL-17RA binding. Molecular docking simulations demonstrated Niraparib's capability to interfere with these interactions. It has demonstrated significant efficacy in inhibiting the interaction between the IL-17A ligand and its receptor via reporter assay. In vivo assessments were performed using a cuprizone-induced demyelination model. Immune profiling revealed modulation of various T cell subsets and B cells, while cytokine analysis indicated a shift in inflammatory responses. Histological evaluations confirmed reduced demyelination and enhanced remyelination in affected brain regions. These findings support Niraparib's potential as a therapeutic option for MS, warranting further exploration of its mechanisms and clinical relevance.

Indexed as

IndazolesInterleukin-17Multiple SclerosisPiperidinesPoly(ADP-ribose) Polymerase InhibitorsReceptors, Interleukin-17RemyelinationAnimalsEncephalomyelitis, Autoimmune, ExperimentalFemaleHumansMiceMice, Inbred C57BLMolecular Docking SimulationIndazolesInterleukin-17niraparibPiperidinesPoly(ADP-ribose) Polymerase InhibitorsReceptors, Interleukin-17cuprizone mouse modeldemyelinationIL-17Amultiple sclerosisniraparibPARP-1 inhibitor

Identifiers

PMID40924614
PMCPMC12498388

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Registered trials

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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.