Evidence map›Paper›PMID 39904963›Full record

ArticleMolecular neurobiology2025

Short-Chain Fatty Acid Aggregates Alpha-Synuclein Accumulation and Neuroinflammation via GPR43-NLRP3 Signaling Pathway in a Model Parkinson's Disease.

Yi Qu, Ke An, Danlei Wang, Haoheng Yu, Jingyi Li, Zhe Min, Yongjie Xiong, Zheng Xue, Zhijuan Mao

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Gut Microbiome as a Source of Probiotic Drugs for Parkinson's Disease.International journal of molecular sciences · 2025
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  15. Gut microbiota-mediated pain sensitization: mechanisms and therapeutic implications.Frontiers in pain research (Lausanne, Switzerland) · 2025
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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

9 authors.

Yi QuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Ke AnDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Danlei WangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Haoheng YuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jingyi LiDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zhe MinDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yongjie XiongDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zheng XueDepartment of General Practice, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhijuan MaoDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. zhijuanjoy@163.com.

Funding

National Natural Science Foundation of China 81901303
6 · The paper itself

Abstract

Parkinson's disease (PD) is characterized by the aggregation of α-synuclein (α-syn) and the loss of dopaminergic (DA) neurons, with growing evidence suggesting a significant role of gut microbiota and their metabolites in the disease's pathogenesis. This study explores the effects of short-chain fatty acids (SCFAs) on PD progression, focusing on the G protein-coupled receptor 43 (GPR43) and the NLRP3 signaling pathway in both in vitro and in vivo models. Employing the1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced mouse model and SH-SY5Y cells with SCFAs-treated, this study investigated the impact of SCFAs on α-syn deposition, DA loss, and neuroinflammation. In vitro, supernatant from STC-1 cells was administered to SH-SY5Y cells, and the effects were assessed following the knockdown of NLRP3 or GPR43. In vivo, mice were treated with NLRP3 or GPR43 inhibitors after feeding with SCFAs, and the motor deficits, α-syn pathology, DA neuronal loss, and inflammatory responses were observed. SCFAs were found to exacerbate motor and gastrointestinal dysfunctions in PD models, intensifying α-syn pathology and neuroinflammation. The activation of the NLRP3 inflammasome through GPR43 emerged as a key pathological mechanism, with inhibition of these molecules mitigating the observed effects. Such interventions reduced α-syn accumulation, DA loss, and inflammatory responses, highlighting the pivotal role of the SCFA/GPR43-NLRP3 pathway in PD. The findings from this study elucidate a critical link between gut-derived metabolic changes and neuroinflammatory processes in PD via the SCFA/GPR43-NLRP3 pathway. Targeting this pathway offers a promising therapeutic strategy and enriches our understanding of the gut-brain axis' role in PD progression.

Indexed as

alpha-SynucleinFatty Acids, VolatileNeuroinflammatory DiseasesNLR Family, Pyrin Domain-Containing 3 ProteinParkinson DiseaseReceptors, G-Protein-CoupledSignal TransductionAnimalsCell Line, TumorDisease Models, AnimalDopaminergic NeuronsHumansMaleMiceMice, Inbred C57BLalpha-SynucleinFatty Acids, VolatileFfar2 protein, mouseNLR Family, Pyrin Domain-Containing 3 ProteinNlrp3 protein, mouseReceptors, G-Protein-CoupledG protein–coupled receptor 43Gut metabolitesNLRP3 InflammasomeParkinson’s diseaseShort-chain fatty acids

Identifiers

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.