ArticleHeliyon2023
Transcriptome analysis identifies the role of Class I histone deacetylase in Alzheimer's disease.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- miR-584-5p suppresses AβActa neurologica Belgica · 2026Article
- Diagnostic and Prognostic Value of Epigenetic Markers in Neurological Diseases. A Narrative Review.Cellular and molecular neurobiology · 2026Review
- 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
- Gastrointestinal exposure to silica nanoparticles induced Alzheimer's disease-like neurotoxicity in mice relying on gut microbiota and modulation through TLR4/NF-κB and HDAC.Journal of nanobiotechnology · 2025Article
- Brain-penetrant histone deacetylase inhibitor RG2833 improves spatial memory in females of an Alzheimer's disease rat model.Journal of Alzheimer's disease : JAD · 2025Article
- Histone Deacetylase Inhibition in Alzheimer's Disease: Molecular Mechanisms, Therapeutic Potential, and Future Perspectives.Current topics in medicinal chemistry · 2025Review
- Repurposed drugs as histone deacetylase 8 inhibitors: Implications in cancer and neuropathological conditions.Frontiers in pharmacology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetics modification is a process that does not change the sequence of deoxyribonucleic acid (DNA) in disease progression but can alter the genetic expression of the brain in Alzheimer's disease (AD). In this study, we deployed the weighted gene co-expression network analysis (WGCNA) to explore the role of Class I histone deacetylases (HDACs) in AD, which included HDAC1, HDAC2, HDAC3, and HDAC8. The aim of the study was to find how Class I HDACs affected AD pathology by analyzing the Gene Expression Omnibus (GEO) microarray datasets GSE33000. We found that HDAC1 and HDAC8 were more highly expressed in the cortex of AD patients than in Controls, while HDAC2 and HDAC3 were lower expressed. By WGCNA analysis, we found the blue module was associated with HDAC1 and HDAC8, and the turquoise module was related to HDAC2 and HDAC3. Functional enrichment analysis revealed that the Wnt signaling pathway and synaptic plasticity played an important role in the modification of HDAC1 and HDAC8 while gap junction and cell-cell junction were involved in the regulation of HDAC2 and HDAC3 in the disease progression of AD. By Receiver Operating Characteristics (ROC) analysis, we concluded that HDAC1 might be the most probable diagnostic biomarker of Class I HDACs for AD. Our study provided a comprehensive understanding of Class I HDACs and provided new insight into the function of HDAC1 in AD disease progression.
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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 Socratic graph.