ArticleFrontiers in neurology2023
Identification of key genes and signaling pathways associated with dementia with Lewy bodies and Parkinson's disease dementia using bioinformatics.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Regional gene expression and brain atrophy in dementia with Lewy bodies: an imaging transcriptomics study.NPJ Parkinson's disease · 2026Article
- Parkinson's disease: an integrative bioinformatics and machine learning analysis reveals tryptophan metabolism-associated gene biomarkers.BMC neurology · 2025Article
- Amyloid-β, Tau, and α-Synuclein Protein Interactomes as Therapeutic Targets in Neurodegenerative Diseases.Cellular and molecular neurobiology · 2025Article
- Dementia with Lewy bodies and Parkinson disease dementia - the same or different and is it important?Nature reviews. Neurology · 2025Review
- An integrated bioinformatics and machine learning approach to identifying biomarkers connecting parkinson's disease with purine metabolism-related genes.BMC neurology · 2025Article
- Proteomic signatures of Alzheimer's disease and Lewy body dementias: A comparative analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Comparison of Brain Activity between Patients with Parkinson Disease Dementia and Patients Affected by Dementia with Lewy Body through EEG Analysis.Iranian journal of psychiatry · 2024Article
- Pathobiology of Cognitive Impairment in Parkinson Disease: Challenges and Outlooks.International journal of molecular sciences · 2023Review
- Morphological characteristics differentiate dementia with Lewy bodies from Parkinson disease with and without dementia.Journal of neural transmission (Vienna, Austria : 1996) · 2023Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) are collectively known as Lewy body dementia (LBD). Considering the heterogeneous nature of LBD and the different constellations of symptoms with which patients can present, the exact molecular mechanism underlying the differences between these two isoforms is still unknown. Therefore, this study aimed to explore the biomarkers and potential mechanisms that distinguish between PDD and DLB. Methods: The mRNA expression profile dataset of GSE150696 was acquired from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between 12 DLB and 12 PDD were identified from Brodmann area 9 of human postmortem brains using GEO2R. A series of bioinformatics methods were applied to identify the potential signaling pathways involved, and a protein-protein interaction (PPI) network was constructed. Weighted gene co-expression network analysis (WGCNA) was used to further investigate the relationship between gene co-expression and different LBD subtypes. Hub genes that are strongly associated with PDD and DLB were obtained from the intersection of DEGs and selected modules by WGCNA. Results: A total of 1,864 DEGs between PDD and DLB were filtered by the online analysis tool GEO2R. We found that the most significant GO- and KEGG-enriched terms are involved in the establishment of the vesicle localization and pathways of neurodegeneration-multiple diseases. Glycerolipid metabolism and viral myocarditis were enriched in the PDD group. A B-cell receptor signaling pathway and one carbon pool by folate correlated with DLB in the results obtained from the GSEA. We found several clusters of co-expressed genes which we designated by colors in our WGCNA analysis. Furthermore, we identified seven upregulated genes, namely, SNAP25, GRIN2A, GABRG2, GABRA1, GRIA1, SLC17A6, and SYN1, which are significantly correlated with PDD. Conclusion: The seven hub genes and the signaling pathways we identified may be involved in the heterogeneous pathogenesis of PDD and DLB.
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