Ultimately, three potential biomarkers were identified: MMP9, HPGD, and UCHL1.By combining ten machine learning approaches with SHAP models, we systematically evaluated the role of these core genes in IDD diagnosis, revealing the genetic characteristics, molecular pathways, and differentially abundant immune cell types associated with IDD. Here, UCHL1 is linked to intervertebral disk degenerative disorder.