Randomized trial demonstrates diagnostic and therapeutic potential of aging-related genes in diabetic kidney disease, suggesting new drug-repurposing opportunities.
Key Points
The study aims to uncover aging-related gene networks contributing to diabetic kidney disease and identify potential biomarkers and drug-repurposing candidates.
Integrated bioinformatics and experimental data to identify age-related hub genes.
Utilized LASSO and Random Forest algorithms for gene screening and built a logistic diagnostic model.
Conducted molecular docking and dynamics simulations alongside in vivo and in vitro validation experiments.
Identified nine hub genes related to diabetic kidney disease, achieving an AUC of 0.881 in the diagnostic model.
Confirmed glomerular endothelial cells as major cell populations expressing the hub genes.
Demonstrated that fostamatinib and selexipag can suppress inflammatory responses and cellular senescence.