Evidence map›Paper›PMID 41750151›Full record

ReviewBrain sciences2026

FGF-FGFR Signaling in Parkinson's Disease: Mechanistic Links to Ferroptosis and Neuroprotection.

Hui Wang, Xiao Wen, Min Yan, Ran Li, Dewei Mao, Xuewen Tian

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Hui WangAcademy of Sports Sciences, Shandong Sport University, Jinan 250102, China.ORCID 0009-0002-0833-5019
Xiao WenAcademy of Sports Sciences, Shandong Sport University, Jinan 250102, China.
Min YanAcademy of Sports Sciences, Shandong Sport University, Jinan 250102, China.
Ran LiAcademy of Sports Sciences, Shandong Sport University, Jinan 250102, China.ORCID 0000-0001-6273-2678
Dewei MaoPhysical Education Unit, The Chinese University of Hong Kong, Shenzhen 518172, China.
Xuewen TianAcademy of Sports Sciences, Shandong Sport University, Jinan 250102, China.ORCID 0000-0002-8917-4554

Funding

TaiShan Scholars tstp20250540the National Key R&D Program of China 2024ZD0531803
6 · The paper itself

Abstract

Parkinson's disease (PD) is characterized by progressive degeneration of the nigrostriatal dopaminergic system and α-synuclein (α-syn) pathology, with disease progression driven by convergent mechanisms including neuroinflammation, mitochondrial injury, oxidative stress, and regulated cell-death programs such as ferroptosis. Fibroblast growth factors (FGFs) and fibroblast growth factor receptors (FGFRs) constitute a key signaling system in the central nervous system, influencing not only neuronal survival and glial states but also intersecting with networks governing redox homeostasis and iron metabolism. Accumulating evidence indicates that, beyond classical neurotrophic actions, FGF-FGFR signaling can modulate mitochondrial quality control, glial inflammatory activation, and lipid peroxidation-related processes, thereby reshaping cellular susceptibility to ferroptotic injury. This review summarizes current advances in understanding FGF signaling networks in Parkinson's disease, synthesizes their potential mechanistic links to the interplay among neuroinflammation, mitochondrial dysfunction, and redox imbalance as well as to ferroptosis regulation, and discusses the experimental basis and translational challenges of targeting the FGF pathway as a disease-modifying therapeutic strategy.

Indexed as

ferroptosisfibroblast growth factorsneurodegenerative diseasesneuroinflammationoxidative stressParkinson’s disease

Identifiers

PMID41750151
PMCPMC12938249

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.