ArticleMolecular neurobiology2025
Identification and Validation of Oxidative Stress-Related Hub Genes in Parkinson's Disease.
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 5 papers.
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Who cites it
5 citing papers in PubMed.
- Neurotoxicity, α-synuclein pathology, and mitochondrial dysfunction: A comparative study of different mouse models of Parkinson's disease.Neural regeneration research · 2026Article
- Multi-omics Insights into Oxidative Stress-related Genes and Neurodegenerative Diseases: From Epigenetic Regulation to Pathogenic Pathways.Journal of molecular neuroscience : MN · 2026Article
- Identification and validation of Parkinson's disease relevant microRNAs in plasma extracellular vesicles.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- RNA networks of lysosomal-related biomarkers in Parkinson's disease and their correlations with freezing of gait-associated genes.Frontiers in genetics · 2026Article
- Exploring the mechanism of proteinuria reduction by hydroxychloroquine in IgA nephropathy using network pharmacology and molecular mocking.Scientific reports · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Accumulating evidence suggests that oxidative stress plays a crucial role in the pathogenesis of Parkinson's disease (PD). The aims of this study were to identify oxidative stress-related hub genes, validate them through the construction of a diagnostic model, explore their interactions with miRNAs and transcription factors (TFs) and predict potential drug targets. Differentially expressed genes (DEGs) in the substantia nigra of PD patients were identified by analyzing a combination of datasets selected from the GEO database, including GSE7621, GSE20141, GSE49036, and GSE20163. The candidate genes associated with oxidative stress were screened by determining the overlap among the DEGs, oxidative stress-related genes (OSGs) and genes in key modules with the highest cor values identified via weighted gene coexpression network analysis (WGCNA). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to perform functional enrichment analysis of these candidate genes. The hub genes were identified via protein-protein interaction (PPI) analysis, and receiver operating characteristic (ROC) curves were constructed to assess the diagnostic value of each hub gene. Then, a diagnostic model was constructed via least absolute shrinkage and selection operator (LASSO) regression with the hub genes identified above, and the model was further validated in external validation datasets (GSE20292 and GSE20164). Gene-miRNA and gene-TF regulatory networks were predicted via the miRNet database, whereas candidate drugs were predicted via the Drug-Gene Interaction database. After analysis of the intersection of the 7975 DEGs, 434 OSGs, and 3582 genes identified through WGCNA, 76 candidate genes were identified. A total of 9 hub genes (JUN, KEAP1, SRC, GPX5, MMP9, TXN, MAPK3, GPX2, and IL1A) were identified via PPI and ROC curve analyses. A diagnostic model with the ability to reliably predict PD on the basis of the identified hub genes (AUC = 0.925) was constructed. Further analysis of these 9 genes revealed 64 targeted miRNAs, 35 TFs in regulatory networks and 86 potential therapeutic agents. Nine hub genes related to oxidative stress in the pathogenesis of PD were identified. These genes show strong diagnostic performance and could serve as therapeutic targets. These findings might facilitate the development of promising candidate biomarkers and potential disease-modifying therapies for PD.
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