ArticleJournal of molecular neuroscience : MN2022
Revelation of Pivotal Genes Pertinent to Alzheimer's Pathogenesis: A Methodical Evaluation of 32 GEO Datasets.
Article in Journal of molecular neuroscience : MN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Matching heterogeneous cohorts by projected principal components reveals two novel Alzheimer's disease-associated genes in the Hispanic population.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Pooled it
- Exploring the relationship between Alzheimer's disease and colorectal/breast cancers using SEER database, Mendelian randomization, and transcriptomic data.Discover oncology · 2026Article
- Article
- SerpinA3N-APOE interaction in astrocytes exacerbates Alzheimer's disease progression through NFκB activation.Journal of neuroinflammation · 2025Article
- Transcriptomic and protein analysis of human cortex reveals genes and pathways linked to NPTX2 disruption in Alzheimer's disease.bioRxiv : the preprint server for biology · 2025Article
- Matching Heterogeneous Cohorts by Projected Principal Components Reveals Two Novel Alzheimer's Disease-Associated Genes in the Hispanic Population.medRxiv : the preprint server for health sciences · 2025Article
- Alzheimer's disease brain-derived tau extracts show differential processing and transcriptional effects in human astrocytes.iScience · 2025Article
- Identification of GABBR2 as a diagnostic marker and its association with Aβ in Alzheimer's disease.Biochemistry and biophysics reports · 2025Article
- Disruption of BAG3-mediated BACE1 stabilization alleviates neuropathology and memory deficits in a mouse model of Alzheimer's disease.Science advances · 2025Article
- Stereo-seq of the prefrontal cortex in aging and Alzheimer's disease.Nature communications · 2025Article
- AITeQ: a machine learning framework for Alzheimer's prediction using a distinctive five-gene signature.Briefings in bioinformatics · 2024Article
- Spatial Dissection of the Distinct Cellular Responses to Normal Aging and Alzheimer's Disease in Human Prefrontal Cortex at Single-Nucleus Resolution.medRxiv : the preprint server for health sciences · 2024Article
- General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning.Human brain mapping · 2024Article
- Gene expression patterns of CRYM and SIGLEC10 in Alzheimer's disease: potential early diagnostic indicators.Molecular biology reports · 2024Article
- General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning.bioRxiv : the preprint server for biology · 2023Article
- Expression and clinical significance ofJournal of gastrointestinal oncology · 2023Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease (AD), a dreadful neurodegenerative disorder that affects cognitive and behavioral function in geriatric populations, is characterized by the presence of amyloid deposits and neurofibrillary tangles in brain regions. The International D World Alzheimer Report 2018 noted a global prevalence of 50 million AD cases and forecasted a threefold rise to 139 million by 2050. Although there exist numerous genetic association studies pertinent to AD in different ethnicities, critical genetic factors and signaling pathways underlying its pathogenesis remain ambiguous. This study was aimed to analyze the genetic data retrieved from 32 Gene Expression Omnibus datasets belonging to diverse ethnic cohorts in order to identify overlapping differentially expressed genes (DEGs). Stringent selection criteria were framed to shortlist appropriate datasets based on false discovery rate (FDR) p-value and log FC, and relevant details of upregulated and downregulated DEGs were retrieved. Among the 32 datasets, only six satisfied the selection criteria. The GEO2R tool was employed to retrieve significant DEGs. Nine common DEGs, i.e., SLC5A3, BDNF, SST, SERPINA3, RTN3, RGS4, NPTX, ENC1 and CRYM were found in more than 60% of the selected datasets. These DEGs were later subjected to protein-protein interaction analysis with 18 AD-specific literature-derived genes. Among the nine common DEGs, BDNF, SST, SERPINA3, RTN3 and RGS4 exhibited significant interactions with crucial proteins including BACE1, GRIN2B, APP, APOE, COMT, PSEN1, INS, NEP and MAPT. Functional enrichment analysis revealed involvement of these genes in trans-synaptic signaling, chemical transmission, PI3K pathway signaling, receptor-ligand activity and G protein signaling. These processes are interlinked with AD pathways.
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