Identification of ω- or (ω-1)-Hydroxylated Medium-Chain Acylcarnitines as Novel Urinary Biomarkers for CYP3A Activity

Quantitative models of endogenous metabolites are useful in predicting CYP3A-mediated drug-drug interactions. This study aimed to identify novel predictive markers for the magnitude of CYP3A induction and inhibition in male and female subjects using an untargeted metabolomics approach. Here we report five ω- or (ω-1)-hydroxylated medium-chain acylcarnitines as novel CYP3A4 markers. As CYP4 catalyzes the ω- or (ω-1)-hydroxylation of various medium-chain fatty acids (MCFAs), recombinant enzyme assays were used to determine the ω- and (ω-1)-hydroxylation activities of CYP3A4, CYP4A11, and CYP4F2. CYP3A4 catalyzed ω- and (ω-1)-hydroxylated MCFAs with the lowest K_m and highest V_max /K_m values. Finally, we derived a model to predict midazolam clearance using these markers and demonstrated that the predictive model including three ω- or (ω-1)-hydroxylated medium-chain acylcarnitines, 6β-OH cortisol, and gender as covariates shows reliable predictability (r² = 0.894).