ArticleScientific reports2023
Identification of oxidative stress-related genes differentially expressed in Alzheimer's disease and construction of a hub gene-based diagnostic model.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 31 citations in OpenAlex.
- Multi-omics Insights into Oxidative Stress-related Genes and Neurodegenerative Diseases: From Epigenetic Regulation to Pathogenic Pathways.Journal of molecular neuroscience : MN · 2026Article
- Novel approach to early prediction of alzheimer's disease progression using integrated deep regulatory genetic neural network and optimized deep belief networks.Scientific reports · 2026Article
- Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease.CNS neuroscience & therapeutics · 2026Article
- Intranasal CRISPR- lipid nanoparticles targeting MAPK9 reduce neuroinflammation after traumatic brain injury.Research square · 2026Article
- Intranasal CRISPR-lipid nanoparticles targeting MAPK9 reduce neuroinflammation after traumatic brain injury.bioRxiv : the preprint server for biology · 2026Article
- scGeneBank: cross-species screening of functional gene sets at single-cell resolution.Nucleic acids research · 2026Article
- A machine learning-enabled blood transcriptomic signature for digital diagnosis and subtyping of Alzheimer's disease.NPJ digital medicine · 2026Article
- Integrative bibliometric and transcriptomic analyses identify selenium-associated molecular signatures in the aging brain.Frontiers in aging neuroscience · 2026Article
- CSF proteomic profiling with amyloid and tau pathology identifies distinctive sex-specific alteration of multiple proteins involved in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- AD diagnosis model based on fusion of heterogeneous brain imaging and genomic data.Frontiers in neuroscience · 2026Article
- LRP1 as a potential diagnostic and immunomodulatory target in endometriosis: evidence from multi-omics and single-cell analyses.Frontiers in immunology · 2026Article
- A Novel Palmitoylation-Related Molecular Signature for Predicting and Therapeutically Targeting Alzheimer's Disease.Molecular neurobiology · 2025Article
- Identification of Copper and Iron Metabolism Related Biomarkers in Alzheimer's Disease.Cellular and molecular neurobiology · 2025Article
- Identification of a Four-Gene Signature Based on Metal Metabolism for Alzheimer's Disease Diagnosis.Genes · 2025Article
- Bioinformatics analyses of comorbid mechanisms between psoriasis and type 2 diabetes mellitus.Scientific reports · 2025Article
- Identification and Validation of Oxidative Stress-Related Hub Genes in Parkinson's Disease.Molecular neurobiology · 2025Article
- Cellular Senescence Genes as Cutting-Edge Signatures for Abdominal Aortic Aneurysm Diagnosis: Potential for Innovative Therapeutic Interventions.Journal of cellular and molecular medicine · 2025Article
- DEG-BRIN-GCN: interpretable graph convolutional framework with differentially expressed genes brain region interaction network prior for AD diagnosis.Frontiers in neuroscience · 2025Article
- Identification of Autophagy-Related Biomarkers and Diagnostic Model in Alzheimer's Disease.Genes · 2024Article
- A review and analysis of key biomarkers in Alzheimer's disease.Frontiers in neuroscience · 2024Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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Abstract
Alzheimer's disease (AD) is the most prevalent dementia disorder globally, and there are still no effective interventions for slowing or stopping the underlying pathogenic mechanisms. There is strong evidence implicating neural oxidative stress (OS) and ensuing neuroinflammation in the progressive neurodegeneration observed in the AD brain both during and prior to symptom emergence. Thus, OS-related biomarkers may be valuable for prognosis and provide clues to therapeutic targets during the early presymptomatic phase. In the current study, we gathered brain RNA-seq data of AD patients and matched controls from the Gene Expression Omnibus (GEO) to identify differentially expressed OS-related genes (OSRGs). These OSRGs were analyzed for cellular functions using the Gene Ontology (GO) database and used to construct a weighted gene co-expression network (WGCN) and protein-protein interaction (PPI) network. Receiver operating characteristic (ROC) curves were then constructed to identify network hub genes. A diagnostic model was established based on these hub genes using Least Absolute Shrinkage and Selection Operator (LASSO) and ROC analyses. Immune-related functions were examined by assessing correlations between hub gene expression and immune cell brain infiltration scores. Further, target drugs were predicted using the Drug-Gene Interaction database, while regulatory miRNAs and transcription factors were predicted using miRNet. In total, 156 candidate genes were identified among 11046 differentially expressed genes, 7098 genes in WGCN modules, and 446 OSRGs, and 5 hub genes (MAPK9, FOXO1, BCL2, ETS1, and SP1) were identified by ROC curve analyses. These hub genes were enriched in GO annotations "Alzheimer's disease pathway," "Parkinson's Disease," "Ribosome," and "Chronic myeloid leukemia." In addition, 78 drugs were predicted to target FOXO1, SP1, MAPK9, and BCL2, including fluorouracil, cyclophosphamide, and epirubicin. A hub gene-miRNA regulatory network with 43 miRNAs and hub gene-transcription factor (TF) network with 36 TFs were also generated. These hub genes may serve as biomarkers for AD diagnosis and provide clues to novel potential treatment targets.
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