Unveiling disulfidptosis-related biomarkers and predicting drugs in Alzheimer's disease.

ABSTRACT: Alzheimer's disease is the predominant form of dementia, and disulfidptosis is the latest reported mode of cell death that impacts various disease processes. This study used bioinformatics to analyze genes associated with disulfidptosis in Alzheimer's disease comprehensively. Based on the public datasets, the differentially expressed genes associated with disulfidptosis were identified, and immune cell infiltration was investigated through correlation analysis. Subsequently, hub genes were determined by a randomforest model. A prediction model was constructed using logistic regression. In addition, the drug-target affinity was predicted by a graph neural network model, and the results were validated by molecular docking. Five hub genes (PPEF1, NEUROD6, VIP, NUPR1, and GEM) were identified.

SUBMITTER: Huang L 

PROVIDER: S-EPMC11364544 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature