A Study on Pharmacokinetics of Bosentan with Systems Modeling, Part 1: Translating Systemic Plasma Concentration to Liver Exposure in Healthy Subjects

Understanding liver exposure of hepatic transporter substrates in clinical studies is often critical, as it typically governs pharmacodynamics, drug-drug interactions, and toxicity for certain drugs. However, this is a challenging task since there is currently no easy method to directly measure drug...

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Published inDrug metabolism and disposition Vol. 46; no. 4; pp. 346 - 356
Main Authors Li, Rui, Niosi, Mark, Johnson, Nathaniel, Tess, David A., Kimoto, Emi, Lin, Jian, Yang, Xin, Riccardi, Keith A., Ryu, Sangwoo, El-Kattan, Ayman F., Maurer, Tristan S., Tremaine, Larry M., Di, Li
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.04.2018
American Society for Pharmacology and Experimental Therapeutics, Inc
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Summary:Understanding liver exposure of hepatic transporter substrates in clinical studies is often critical, as it typically governs pharmacodynamics, drug-drug interactions, and toxicity for certain drugs. However, this is a challenging task since there is currently no easy method to directly measure drug concentration in the human liver. Using bosentan as an example, we demonstrate a new approach to estimate liver exposure based on observed systemic pharmacokinetics from clinical studies using physiologically based pharmacokinetic modeling. The prediction was verified to be both accurate and precise using sensitivity analysis. For bosentan, the predicted pseudo steady-state unbound liver-to-unbound systemic plasma concentration ratio was 34.9 (95% confidence interval: 4.2, 50). Drug-drug interaction (i.e., CYP3A and CYP2B6 induction) and inhibition of hepatic transporters (i.e., bile salt export pump, multidrug resistance-associated proteins, and sodium-taurocholate cotransporting polypeptide) were predicted based on the estimated unbound liver tissue or plasma concentrations. With further validation and refinement, we conclude that this approach may serve to predict human liver exposure and complement other methods involving tissue biopsy and imaging.
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ISSN:0090-9556
1521-009X
1521-009X
DOI:10.1124/dmd.117.078790