Evidence map›Paper›PMID 41782836›Full record

ArticleiScience2026

Hair metal dysregulation in Parkinson's disease: Implications for diagnosis and gut-brain axis involvement.

Ming Li, Ying Li, Yixian Li, Chenchen Zhang, Fan Lu, Linli Liu, Hongjie Wang, Li Ling, Jiguang Guo

Abstract read
In one paragraph

Article in iScience, 2026. 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. 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

9 authors.

Ming LiDepartment of Pathogenic Biology, School of Basic Medical Sciences, Hebei University, Baoding, China.
Ying LiDepartment of Neurology, Affiliated Hospital of Hebei University/Medical school of Hebei University, Baoding, China.
Yixian LiDepartment of Neurology, Affiliated Hospital of Hebei University/Medical school of Hebei University, Baoding, China.
Chenchen ZhangDepartment of Pathogenic Biology, School of Basic Medical Sciences, Hebei University, Baoding, China.
Fan LuDepartment of Pathogenic Biology, School of Basic Medical Sciences, Hebei University, Baoding, China.
Linli LiuTesting Center of the Geophysical Exploration, Academy of China Metallurgical Bureau, Baoding, China.
Hongjie WangDepartment of Pathogenic Biology, School of Basic Medical Sciences, Hebei University, Baoding, China.
Li LingDepartment of Neurology, Affiliated Hospital of Hebei University/Medical school of Hebei University, Baoding, China.
Jiguang GuoDepartment of Pathogenic Biology, School of Basic Medical Sciences, Hebei University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated hair metals as potential biomarkers in Parkinson's disease (PD) and their link to gut-mediated iron metabolism. In 60 PD patients and matched controls, hair analysis revealed a distinct profile: significantly lower iron and copper, higher manganese and arsenic, and unchanged zinc levels, with combined metals showing diagnostic value (e.g., Cu AUC = 0.79). Using an MPTP-induced mouse model, we linked lower hair iron to gut pathophysiology, finding impaired intestinal barrier integrity, downregulated host iron absorption genes (DMT1 and FPN), and upregulated microbial iron-acquisition genes (e.g., fepG). These results suggest that gastrointestinal dysfunction and gut microbiota dysbiosis may contribute to systemic iron deficiency in PD. Hair multi-metal analysis shows promise as a diagnostic adjunct, reflecting the involvement of the gut-brain axis and highlighting a potential target for intervention.

Indexed as

clinical neurosciencegenomicsmedical biochemistry

Identifiers

PMID41782836
PMCPMC12955576

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.