Related Experiment Video
Updated: Feb 15, 2026

An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
Published on: December 3, 2020
A Study on Pharmacokinetics of Bosentan with Systems Modeling, Part 2: Prospectively Predicting Systemic and Liver
Rui Li1, Emi Kimoto2, Mark Niosi2
1Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.) rui.li5@pfizer.com.
Abstract:
Predicting human pharmacokinetics of novel compounds is a critical step in drug discovery and clinical study design but continues to be a challenging task for hepatic transporter substrates, particularly in predicting their liver exposures. In this study, using bosentan as an example, we prospectively predicted systemic exposure and the (pseudo) steady-state unbound liver-to-unbound plasma ratio (Kpuu) in healthy subjects using 1) a mechanistic approach solely based on in vitro hepatocyte assays and 2) an approach based on hepatic process rates from monkey in vivo data but Michaelis-Menten constants from in vitro data. Both methods reasonably match the observed human systemic time course data, but the second method leads to better prediction accuracy. In addition, the second method can predict a human Kpuu value that is close to the value deduced using clinical data. We also generated rat and monkey liver Kpuu values in terminal studies. However, these directly measured animal values are different from the deduced human value.
More Related Videos
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
07:48Intravenous Endotoxin Challenge in Healthy Humans: An Experimental Platform to Investigate and Modulate Systemic Inflammation
Published on: May 16, 2016
Related Concept Videos
Bioavailability Study Design: Healthy Subjects Versus Patients
Second Order systems II
First Order Systems
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
Second Order systems I
By reinterpreting the system, one can derive the closed-loop transfer function, which...
Thermodynamic Systems
Consider an example of tea boiling in a kettle. The...
Classification of Systems-I
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as: