Evidence map›Paper›PMID 40417757›Full record

ArticleCurrent medicinal chemistry2026

Identification of Hub Genes and Prediction of Interacting Chemicals in Parkinson's Disease Using Bioinformatics.

Lianping Gu, Xu Wang, Yaohua Liu, Hongyu Tang, Jingyan Gu, Wei Wang, Xiaowen Lu, Meiqing Lou

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Article in Current medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Lianping GuDepartment of Neurosurgery, Shanghai General Hospital, Nanjing Medical University, Shanghai, China.
Xu WangDepartment of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaohua LiuDepartment of Neurosurgery, Shanghai General Hospital, Nanjing Medical University, Shanghai, China.
Hongyu TangDepartment of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jingyan GuDepartment of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei WangDepartment of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaowen LuDepartment of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Meiqing LouDepartment of Neurosurgery, Shanghai General Hospital, Nanjing Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) ranks as the second most prevalent neurodegenerative disorder globally, with its etiology intricately linked to a complex interplay of genetic predispositions and environmental factors.

methodsA comprehensive comparative analysis of the substantia nigra transcriptome between patients with PD and controls, utilizing data from the Gene Expression Omnibus (GEO) repository, enabled the identification and validation of key hub genes associated with PD. This analysis was further substantiated at the single-cell level. The study identified four candidate chemicals potentially interacting with the proteins encoded by these hub genes, followed by molecular docking to evaluate binding affinities.

resultsDDC, KCNJ6, SLC18A2, and SLC6A3 were identified as central to PD pathology, with Benzo(a)pyrene, Bisphenol A, Valproic Acid, and Fulvestrant as corresponding chemical agents. Molecular docking demonstrated Benzo(a)pyrene's highest binding affinity, with SLC6A3 emerging as the most vulnerable target among the hub genes.

conclusionThese findings underscore the roles of DDC, KCNJ6, SLC18A2, and SLC6A3 in PD's molecular mechanisms, potentially modulated by the identified chemicals, with Benzo(a)pyrene highlighted as a significant environmental toxin. This study offers novel insights into the genetic and environmental determinants of PD, advancing our understanding of its etiology.

Indexed as

Computational BiologyParkinson DiseaseBenzo(a)pyreneBisphenol A CompoundsDopamine Plasma Membrane Transport ProteinsGABA Plasma Membrane Transport ProteinsHumansMolecular Docking SimulationPhenolsVesicular Monoamine Transport ProteinsBenzo(a)pyrenebisphenol ABisphenol A CompoundsDopamine Plasma Membrane Transport ProteinsGABA Plasma Membrane Transport ProteinsPhenolsSLC18A2 protein, humanSLC6A3 protein, humanVesicular Monoamine Transport Proteinsbioinformatics analysisenvironmental toxinGEOinteractional chemicalsmolecular dockingParkinson's diseasesubstantia nigra

Identifiers

PMID40417757

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