Unveiling the bioinformatic genes and their involved regulatory mechanisms in type 2 diabetes combined with osteoarthritis

HIGHLIGHTS

• What: Logistic regression analysis was conducted to evaluate the role of key genes in distinguishing between T2D, OA, and healthy individuals. Screening of candidate compounds Evaluation of key genes in T2D and OA the research has identified 10 candidate compounds that interact with ANGPTL4 and MMP9, sourced from DGIdb (Supplementary Table 4). The model demonstrated high accuracy, suggesting that ANGPTL4 and MMP9 could serve as preventive and diagnostic biomarkers for T2D and OA, providing a theoretical foundation for understanding the molecular mechanisms underlying their co-occurrence.
• Who: Guangming Mao from the Purdue University Indianapolis, United . . .
  

   

  

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