A total of 33 aging-related differentially expressed genes (DEGs) were screened in IDD, and machine learning combined with ROC curve analysis identified PPM1D, PIK3C2A, and BTG3 as aging-related biomarkers for IDD; Gene Set Enrichment Analysis (GSEA) revealed that these three biomarkers were enriched in gene functions including cellular senescence, multicellular organismal aging, negative regulation of cellular senescence, and Ribosome. This evidence concerns the gene PIK3C2A and intervertebral disk degenerative disorder.