EVALUATION OF SERUM LEVELS OF CYP2D6, CYP3A4, GSH, AND MDA AS PREDICTIVE BIOMARKERS FOR METHAMPHETAMINE-INDUCED LIVER DYSFUNCTION USING ADVANCED STATISTICAL MODELING

Objective: This study aimed to evaluate the predictive potential of serum protein levels of CYP2D6, CYP3A4, glutathione (GSH), and malondialdehyde (MDA) as early biomarkers of METH-induced liver dysfunction using multivariate statistical approaches, compared to standard LFTs. Methods: This case–control study included 90 METH users and 45 healthy control individuals. Serum CYP2D6, CYP3A4, GSH, and MDA levels, and routine LFTs were determined. Analysis was performed using principal component analysis (PCA), receiver operating characteristic (ROC) curves, and decision tree modeling. Results: METH users showed significantly decreased serum levels of CYP2D6, CYP3A4, and GSH and higher MDA levels (p