Literature DB >> 26202434

Hepatic Clearance Prediction of Nine Human Immunodeficiency Virus Protease Inhibitors in Rat.

Tom De Bruyn1, Patrick F Augustijns1, Pieter P Annaert2.   

Abstract

This study aimed to determine the rate-limiting step in the overall hepatic clearance of the marketed human immunodeficiency virus (HIV) protease inhibitors (PI) in rats by predicting the experimentally determined hepatic in vivo clearance of these drugs based on in vitro clearance values for uptake and/or metabolism. In vitro uptake and metabolic clearance values were determined in suspended rat hepatocytes and rat liver microsomes, respectively. In vivo hepatic clearance was determined after intravenous bolus administration in rats. Excellent in vitro-in vivo correlation (IVIVC; R(2) = 0.80) was observed when metabolic intrinsic Cl values were used, which were determined in vitro at a single concentration corresponding to the blood concentration observed in rats in vivo at the mean residence time. On the contrary, poor IVIVC was observed when in vitro metabolic Cl values based on full Michaelis-Menten profiles were used. In addition, the use of uptake Cl values or a combination of both uptake and metabolic clearance data led to poor predictions of in vivo clearance. Although our findings indicate a key role for metabolism in the hepatic clearance of several HIV PI in rats, subsequent simulations revealed that inhibition of hepatic uptake can lead to altered hepatic clearance for several of these drugs.
Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  HIV/AIDS; drug metabolizing enzymes; drug transport; hepatic clearance; hepatic metabolism; hepatic transport; in vitro/in vivo correlations (IVIVC); transporters

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Year:  2016        PMID: 26202434     DOI: 10.1002/jps.24559

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  2 in total

1.  Recent developments in in vitro and in vivo models for improved translation of preclinical pharmacokinetics and pharmacodynamics data.

Authors:  Jaydeep Yadav; Mehdi El Hassani; Jasleen Sodhi; Volker M Lauschke; Jessica H Hartman; Laura E Russell
Journal:  Drug Metab Rev       Date:  2021-05-25       Impact factor: 6.984

2.  Beyond the Michaelis-Menten: Accurate Prediction of In Vivo Hepatic Clearance for Drugs With Low KM.

Authors:  Hyun-Moon Back; Hwi-Yeol Yun; Sang Kyum Kim; Jae Kyoung Kim
Journal:  Clin Transl Sci       Date:  2020-05-26       Impact factor: 4.689

  2 in total

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