Evidence map›Paper›PMID 40259110›Full record

SynthesisInflammopharmacology2025

Exploring the therapeutic potential of NLRP3 inhibitors in Parkinson's Disease: a systematic review of in-vivo studies.

Najwane Said Sadier, Inaam Ali Hazimeh, Walaa Khazaal, Amani Al Khayat Al Sabouri, Abdulmajeed G Almutary, Abdullah M Alnuqaydan, Linda Abou-Abbas

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Inflammopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Najwane Said Sadier *Department of Biomedical Sciences, College of Health Sciences, Abu Dhabi University, Al Ain Road, PO Box 3838-111188, Abu Dhabi, UAE.
Inaam Ali Hazimeh *Department of Neurosciences, Neurosciences Research Center, Faculty of Medical Sciences, Lebanese University, 275 Old Saida Road, PO Box 6573/14, Beirut, Lebanon.
Walaa KhazaalDepartment of Neurosciences, Neurosciences Research Center, Faculty of Medical Sciences, Lebanese University, 275 Old Saida Road, PO Box 6573/14, Beirut, Lebanon.
Amani Al Khayat Al SabouriDepartment of Neurosciences, Neurosciences Research Center, Faculty of Medical Sciences, Lebanese University, 275 Old Saida Road, PO Box 6573/14, Beirut, Lebanon.
Abdulmajeed G AlmutaryDepartment of Biomedical Sciences, College of Health Sciences, Abu Dhabi University, Al Ain Road, PO Box 3838-111188, Abu Dhabi, UAE.
Abdullah M AlnuqaydanDepartment of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
Linda Abou-AbbasDepartment of Neurosciences, Neurosciences Research Center, Faculty of Medical Sciences, Lebanese University, 275 Old Saida Road, PO Box 6573/14, Beirut, Lebanon. l.abouabbas@ul.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease is a progressive neurodegenerative disorder characterized by motor symptoms such as tremors, rigidity, and bradykinesia. Although the exact etiology is unknown, the nod-like receptor family, pyrin domain-containing 3 (NLRP3) inflammasome-induced inflammation, plays a crucial role in the pathogenesis of Parkinson's disease. Many NLRP3 inhibitors are recognized for their role as potential therapeutic interventions for Parkinson's disease.

methodsA systematic literature search was performed in PubMed, Embase, and Science Direct databases for papers published during the 10 years prior to May 2023. All animal interventional studies assessing the effects of NLRP3 inhibitors on Parkinson's disease animal models were included. Primary outcomes included NLRP3 inflammasome inhibition, microglial activation reduction, oxidative stress, and anti-inflammatory marker reduction. The secondary outcomes included dopaminergic neuron loss alleviation and behavioral motor function attenuation. Quality assessment and narrative synthesis of the studies were performed.

resultsTwenty-four studies out of 796 papers initially identified met the inclusion criteria. All the included studies, except one, found a reduction in NLRP3 inflammasome activation and anti-inflammatory markers in Parkinson's disease animal models after treatment with various NLRP3 inhibitors compared to control groups without inhibitors. Additionally, eighteen out of twenty-four inhibitors decreased microglial activation and behavioral deficits. Moreover, ten inhibitors attenuated oxidative stress, and twenty-two out of twenty-four alleviated dopaminergic neuron loss. The inhibitors utilized different mechanisms and pathways to exert their effects, including the NLRP3/Caspase-1 pathway, the NF-κB/NLRP3 pathway, inhibition of ROS and/or pyroptosis, as well as autophagy and mitophagy.

conclusionNLRP3 inhibitors represent a prospective therapy for Parkinson's disease, demonstrating efficacy in lowering neuroinflammation and protecting against dopaminergic loss. However, constraints, such as a male animal focus, apparent regional bias from China-centric studies, and diversity in induction models, entail the results presented herein require cautious interpretation. Further research, including preclinical and clinical studies, is required to thoroughly examine the safety, effectiveness, and generalizability of NLRP3 inhibitors in Parkinson's disease.

Indexed as

NLR Family, Pyrin Domain-Containing 3 ProteinParkinson DiseaseAnimalsAnti-Inflammatory AgentsDisease Models, AnimalHumansInflammasomesInflammationOxidative StressAnti-Inflammatory AgentsInflammasomesNLR Family, Pyrin Domain-Containing 3 ProteinBehavioral deficitsDopaminergic lossMicroglial activationNLRP3 inflammasomeNLRP3 inhibitorsOxidative stressParkinson’s disease

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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.