ArticleFrontiers in aging neuroscience2021
Exploring the Key Genes and Identification of Potential Diagnosis Biomarkers in Alzheimer's Disease Using Bioinformatics Analysis.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed.
- The Potential of Bioinformatics in Revolutionizing Disease Diagnosis in Sub-Saharan Africa: A Narrative Review.Health science reports · 2026Article
- Disruption of BDNF signalling in neuropathologies.Biochemical Society transactions · 2026Review
- Diagnosis of Alzheimer's disease with high accuracy via Petri net modeling of signaling pathways.Scientific reports · 2026Article
- Multi-regional transcriptomic analysis reveals early nociceptive and neuroinflammatory alterations in APP/PS1 mice.Frontiers in immunology · 2026Article
- A multi-layered systems biology framework reveals dual-phased regulators and hormonal crosstalk underlying soybean cold tolerance.Plant cell reports · 2025Article
- Analysis of immune cell infiltration landscape and identification of diagnostic biomarkers in ankylosing spondylitis.APL bioengineering · 2025Article
- Alzheimer's disease brain-derived tau extracts show differential processing and transcriptional effects in human astrocytes.iScience · 2025Article
- Comparative Analysis of Human Brain RNA-seq Reveals the Combined Effects of Ferroptosis and Autophagy on Alzheimer's Disease in Multiple Brain Regions.Molecular neurobiology · 2025Article
- Development and Assessment of a Prediction Model for Alzheimer's Disease Diagnosis Based on Thermoregulation-Related Genes.Combinatorial chemistry & high throughput screening · 2025Article
- MIMR: Development of a Web-Based System for miRNA and mRNA Integrated Analysis.International journal of molecular sciences · 2024Article
- Targeted co-expression networks for the study of traits.Scientific reports · 2024Article
- SCG5 and MITF may be novel markers of copper metabolism immunorelevance in Alzheimer's disease.Scientific reports · 2024Article
- Disease-Associated Neurotoxic Astrocyte Markers in Alzheimer Disease Based on Integrative Single-Nucleus RNA Sequencing.Cellular and molecular neurobiology · 2024Article
- Investigating metabolic dysregulation in serum of triple transgenic Alzheimer's disease male mice: implications for pathogenesis and potential biomarkers.Amino acids · 2024Article
- A review and analysis of key biomarkers in Alzheimer's disease.Frontiers in neuroscience · 2024Review
- Hederagenin Upregulates PTPN1 Expression in Aβ-Stimulated Neuronal Cells, Exerting Anti-Oxidative Stress and Anti-Apoptotic Activities.Journal of molecular neuroscience : MN · 2023Article
- Data Mining of Microarray Datasets in Translational Neuroscience.Brain sciences · 2023Review
- Exploiting machine learning models to identify novel Alzheimer's disease biomarkers and potential targets.Scientific reports · 2023Review
- Pooled analysis of frontal lobe transcriptomic data identifies key mitophagy gene changes in Alzheimer's disease brain.Frontiers in aging neuroscience · 2023Article
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4 authors.
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Abstract
backgroundAlzheimer's disease (AD) is one of the major threats of the twenty-first century and lacks available therapy. Identification of novel molecular markers for diagnosis and treatment of AD is urgently demanded, and genetic biomarkers show potential prospects.
methodWe identify and intersected differentially expressed genes (DEGs) from five microarray datasets to detect consensus DEGs. Based on these DEGs, we conducted Gene Ontology (GO), performed the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, constructed a protein-protein interaction (PPI) network, and utilized Cytoscape to identify hub genes. The least absolute shrinkage and selection operator (LASSO) logistic regression was applied to identify potential diagnostic biomarkers. Gene set enrichment analysis (GSEA) was performed to investigate the biological functions of the key genes.
resultWe identified 608 consensus DEGs, several dysregulated pathways, and 18 hub genes. Sixteen hub genes dysregulated as AD progressed. The diagnostic model of 35 genes was constructed, which has a high area under the curve (AUC) value in both the validation dataset and combined dataset (AUC = 0.992 and AUC = 0.985, respectively). The model can also differentiate mild cognitive impairment and AD patients from controls in two blood datasets. Brain-derived neurotrophic factor (BDNF) and WW domain-containing transcription regulator protein 1 (WWTR1), which are associated with the Braak stage, Aβ 42 levels, and β-secretase activity, were identified as critical genes of AD.
conclusionOur study identified 16 hub genes correlated to the neuropathological stage and 35 potential biomarkers for the diagnosis of AD. WWTR1 were identified as candidate genes for future studies. This study deepens our understanding of the transcriptomic and functional features and provides new potential diagnostic biomarkers and therapeutic targets for AD.
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