ArticleThe Journal of international medical research2020
Identification of Parkinson's disease-related pathways and potential risk factors.
Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Insights Into the Role of Platelet Factor 4 in Neurodegenerative Diseases.CNS neuroscience & therapeutics · 2026Review
- Plasma proteomics for Parkinson's disease classification: cross-cohort benchmarking of proteomic, transcriptomic, and multimodal models.NPJ Parkinson's disease · 2026Article
- Parkinson's Disease: From Metabolism to Genetics-A Comprehensive Review.Current issues in molecular biology · 2026Review
- SETD7 Dual Role in Disease and Opportunities for Therapeutic Intervention: Current Perspectives.Journal of inflammation research · 2025Review
- Differential gene expression patterns in Niemann-Pick Type C and Tay-Sachs diseases: Implications for neurodegenerative mechanisms.PloS one · 2025Article
- More than microglia: myeloid cells and biomarkers in neurodegeneration.Frontiers in neuroscience · 2024Review
- Molecular and Cellular Interactions in Pathogenesis of Sporadic Parkinson Disease.International journal of molecular sciences · 2022Review
- RNA-seq analysis of gene expression profiles in posttraumatic stress disorder, Parkinson's disease and schizophrenia identifies roles for common and distinct biological pathways.Discover mental health · 2022Article
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Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify Parkinson's disease (PD)-associated deregulated pathways and genes, to further elucidate the pathogenesis of PD.
methodsDataset GSE100054 was downloaded from the Gene Expression Omnibus, and differentially expressed genes (DEGs) in PD samples were identified. Functional enrichment analyses were conducted for the DEGs. The top 10 hub genes in the protein-protein interaction (PPI) network were screened out and used to construct a support vector machine (SVM) model. The expression of the top 10 genes was then validated in another dataset, GSE46129, and a clinical patient cohort.
resultsA total of 333 DEGs were identified. The DEGs were clustered into two gene sets that were significantly enriched in 12 pathways, of which 8 were significantly deregulated in PD, including cytokine-cytokine receptor interaction, gap junction, and actin cytoskeleton regulation. The signature of the top 10 hub genes in the PPI network was used to construct the SVM model, which had high performance for predicting PD. Of the 10 genes,
conclusionGenes such as
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.