Integration of Physiologically‐Based Pharmacokinetic Modeling into Early Clinical Development: An Investigation of the Pharmacokinetic Nonlinearity. (29th April 2015)

• Record Type: Journal Article
• Authors: Zhou, L; Gan, J; Yoshitsugu, H; Gu, X; Lutz, JD; Masson, E; Humphreys, WG
• Is Part Of: CPT: pharmacometrics & systems pharmacology. Volume 4:Number 5(2015:May)
• Page Start: 286
• Page End: 294
• Publication Date: 2015-04-29
• Subjects: Pharmacokinetics -- Periodicals; Pharmacology -- Periodicals; Pharmacokinetics; Periodicals; 615.05
• DOI: 10.1002/psp4.35
• Languages: English
• ISSNs: 2163-8306

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>BMS‐911543, a promising anticancer agent, exhibited time‐dependent and dose‐dependent nonlinear pharmacokinetics (PKs) in its first‐in‐human (FIH) study. Initial physiologically based pharmacokinetic (PBPK) modeling efforts using CYP1A2‐mediated clearance kinetics were unsuccessful; however, further model analysis revealed that CYP1A2 time‐dependent inhibition (TDI) and perhaps other factors could be keys to the nonlinearity. Subsequent experiments in human liver microsomes showed that the compound was a time‐dependent inhibitor of CYP1A2 and were used to determine the enzyme inactivation parameter values. In addition, a rat tissue distribution study was conducted and human plasma samples were profiled to support the refinement of the PBPK model. It was concluded that the interplay between four BMS‐911543 properties, namely, low solubility, saturation of the metabolizing enzyme CYP1A2, CYP1A2 TDI, and CYP1A2 induction likely resulted in the time‐dependent and dose‐dependent nonlinear PKs. The methodology of PBPK model‐guided unmasking of compound properties can serve as a general practice for mechanistic understanding of a new compound's disposition.</p> </abstract>