ArticleBMC neurology2022
Key gene network related to primary ciliary dyskinesia in hippocampus of patients with Alzheimer's disease revealed by weighted gene co-expression network analysis.
Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 8 citations in OpenAlex.
- Analysis of the associations between DNA methylation and clinical features reveals the potential oncogenic effect of CFAP52 in esophageal squamous cell cancer.Cancer cell international · 2025Article
- Deconvolution-Based Transcriptomic Analysis in the Hippocampus Reveals Cell Type-Specific Risk Genes and Pathways Associated With Depression and Suicide.Biological psychiatry global open science · 2025Article
- Regulatory role of LncRNA FMR1-AS1 in the pathogenesis of alzheimer's disease based on bioinformatics and in vitro experimental validation.Scientific reports · 2025Article
- Identification and bioinformatics analysis of cilia-associated gene families inFrontiers in microbiology · 2025Article
- Identification of deregulated lncRNAs in Alzheimer's disease: an integrated gene co-expression network analysis of hippocampus and fusiform gyrus RNA-seq datasets.Frontiers in aging neuroscience · 2024Article
- Identification of key genes and signaling pathways associated with dementia with Lewy bodies and Parkinson's disease dementia using bioinformatics.Frontiers in neurology · 2023Article
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6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAlzheimer's disease (AD) is closely related to aging, showing an increasing incidence rate for years. As one of the main brain regions involved in AD, hippocampus has been extensively studied due to its association with many human diseases. However, little is known about its association with primary ciliary dyskinesia (PCD). MATERIAL AND
methodsThe microarray data of hippocampus on AD were retrieved from the Gene Expression Omnibus (GEO) database to construct the co-expression network by weighted gene co-expression network analysis (WGCNA). The gene network modules associated with AD screened with the common genes were further annotated based on Gene Ontology (GO) database and enriched based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The protein-protein interaction (PPI) network was constructed based on STRING database to identify the hub genes in the network.
resultsGenes involved in PCD were identified in the hippocampus of AD patients. Functional analysis revealed that these genes were mainly enriched in ciliary tissue, ciliary assembly, axoneme assembly, ciliary movement, microtubule based process, microtubule based movement, organelle assembly, axoneme dynamin complex, cell projection tissue, and microtubule cytoskeleton tissue. A total of 20 central genes, e.g., DYNLRB2, ZMYND10, DRC1, DNAH5, WDR16, TTC25, and ARMC4 were identified as hub genes related to PCD in hippocampus of AD patients.
conclusionOur study demonstrated that AD and PCD have common metabolic pathways. These common pathways provide novel evidence for further investigation of the pathophysiological mechanism and the hub genes suggest new therapeutic targets for the diagnosis and treatment of AD and PCD. SUBJECTS: Bioinformatics, Cell Biology, Molecular Biology, Neurology.
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