title: A mechanistic physiologically based pharmacokinetic-enzyme turnover model involving both intestine and liver to predict CYP3A induction-mediated drug-drug interactions.
abstract: Cytochrome P450 (CYP) 3A induction-mediated drug-drug interaction (DDI) is one of the major concerns in drug development and clinical practice. The aim of the present study was to develop a novel mechanistic physiologically based pharmacokinetic (PBPK)-enzyme turnover model involving both intestinal and hepatic CYP3A induction to quantitatively predict magnitude of CYP3A induction-mediated DDIs from in vitro data. The contribution of intestinal P-glycoprotein (P-gp) was also incorporated into the PBPK model. First, the pharmacokinetic profiles of three inducers and 14 CYP3A substrates were predicted successfully using the developed model, with the predicted area under the plasma concentration-time curve (AUC) [area under the plasma concentration-time curve] and the peak concentration (Cmax ) [the peak concentration] in accordance with reported values. The model was further applied to predict DDIs between the three inducers and 14 CYP3A substrates. Results showed that predicted AUC and Cmax ratios in the presence and absence of inducer were within twofold of observed values for 17 (74%) of the 23 DDI studies, and for 14 (82%) of the 17 DDI studies, respectively. All the results gave us a conclusion that the developed mechanistic PBPK-enzyme turnover model showed great advantages on quantitative prediction of CYP3A induction-mediated DDIs.
authors.affiliation: Key Laboratory of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China.
authors.forename: Haifang
authors.initials: H
authors.lastname: Guo
authors.forename: Can
authors.initials: C
authors.lastname: Liu
authors.forename: Jia
authors.initials: J
authors.lastname: Li
authors.forename: Mian
authors.initials: M
authors.lastname: Zhang
authors.forename: Mengyue
authors.initials: M
authors.lastname: Hu
authors.forename: Ping
authors.initials: P
authors.lastname: Xu
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Liu
mesh_terms: D019540:Area Under Curve; D003198:Computer Simulation; D051544:Cytochrome P-450 CYP3A / Q000378:metabolism*; D004347:Drug Interactions; D006801:Humans; D007413:Intestinal Mucosa / Q000378:metabolism*; D008099:Liver / Q000378:metabolism*; D008954:Models, Biological; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D010599:Pharmacokinetics
chemical_list: D004364:Pharmaceutical Preparations; D051544:Cytochrome P-450 CYP3A
keywords: CYP3A; cytochrome P450; drug interaction; dynamic simulation; enzyme turnover model; in vitro-in vivo prediction; induction; pharmacokinetics; physiological model