Utilizing machine learning algorithms for the selection of potential biomarkers, such as LASSO, SVM-RFE, and RF, followed by validation through qPCR in a validation cohort, we have identified TRPV2, ZNF713, and CTSL as potential biomarkers for MDD. This evidence concerns the gene TRPV2 and major depressive disorder.