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July 18, 2026Clinical EpigeneticsOpen Access

Aging-driven transcriptional programs in diabetic kidney disease: multi-omics discovery of diagnostic biomarkers and drug-repurposing targets

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Authors

XHXue HuYLYingzhuo LiYWYang Wang

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Overview

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.

Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/6a5b183e18557b26c203a34ehttps://doi.org/10.1186/s13148-026-02207-9
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Biomarkers and Potential Therapeutic Agents for Chronic Kidney Disease in the Context of Aging: An Integrated Bioinformatics and MachineLearning Study2026
  2. 2Genomic mapping of diabetic kidney disease biomarkers and identification of potential inhibitors through virtual screening2025
  3. 3Integrating bioinformatics and machine learning to elucidate the role of protein glycosylation-related genes in the pathogenesis of diabetic kidney disease2025 · 4 citations
  4. 4Diabetic kidney disease: from pathogenesis to multimodal therapy–current evidence and future directions2025 · 32 citations
  5. 5Integrative transcriptomic and machine learning analyses identify HDAC9 as a key regulator of mitochondrial dysfunction and senescence-associated inflammation in diabetic nephropathy2025 · 3 citations