Evidence map›Paper›PMID 40917632›Full record

ArticleIBRO neuroscience reports2025

Striatal metabolomic alterations in a mouse model of Parkinson's disease: A comprehensive liquid chromatography-mass spectrometry analysis.

Zhiqiang Wu, Jing Dai, Bo Lv, Cunjin Su, Delai Xu

Abstract read
In one paragraph

Article in IBRO neuroscience reports, 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhiqiang WuDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China.
Jing DaiDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China.
Bo LvDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China.
Cunjin SuDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China.
Delai XuDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Parkinson's disease (PD) is a chronic neurodegenerative disorder characterized pathologically by the progressive loss of dopaminergic neurons in the substantia nigra pars compacta, leading to a significant decline in striatal dopamine levels. This study aims to systematically analyze alterations in striatal metabolites across different stages of PD to identify potential biomarkers, elucidate pathological mechanisms, and explore therapeutic targets. Methods: A total of 72 mice were divided into six groups, including one control group and five PD model groups (W1-W5, representing distinct stages based on the duration of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine/probenecid induction). Striatal tissues were comprehensively collected, and small-molecule metabolites were detected using metabolomics techniques. Potential differential metabolite biomarkers were screened through variable importance in projection values from orthogonal partial least squares-discriminant analysis (OPLS-DA) and coefficient values from LASSO ordinal logistic regression. Results: Thirteen potential differential metabolites were identified, including Ergocalciferol, Glutaric acid, Etilefrine, and Guanine, among others. Pathway enrichment analysis revealed that purine metabolism emerged as the most significantly perturbed pathway. Additionally, receiver operating characteristic curve analysis demonstrated that the biomarker panel composed of these 13 metabolites effectively distinguished different stages of PD. Conclusion: The striatum exhibits distinct metabolic profiles at different stages of PD, with purine metabolism showing the most pronounced alterations. The characteristic metabolites and metabolic pathways identified in this study contribute to elucidating the pathophysiological features of PD and may guide precision therapy.

Indexed as

LC-MSMetabolomicsParkinson's diseasePurine metabolismStriatum

Identifiers

PMID40917632
PMCPMC12408395

What Socratic holds

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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 Socratic graph.