Literature DB >> 25056496

Prediction of pharmacokinetics and drug-drug interactions when hepatic transporters are involved.

Rui Li1, Hugh A Barton, Manthena V Varma.   

Abstract

Hepatobiliary transport mechanisms have been identified to play a significant role in determining the systemic clearance for a number of widely prescribed drugs and an increasing number of new molecular entities (NMEs). While determining the pharmacokinetics, drug transporters also regulate the target tissue exposure and play a key role in regulating the pharmacological and/or toxicological responses. Consequently, it is of great relevance in drug discovery and development to assess hepatic transporter activity in regard to pharmacokinetic and dose predictions and to evaluate pharmacokinetic variability associated with drug-drug interactions (DDIs) and genetic variants. Mechanistic predictions utilizing physiological-based pharmacokinetic modeling are increasingly used to evaluate transporter contribution and delineate the transporter-enzyme interplay on the basis of hypothesis-driven functional in vitro findings. Significant strides were made in the development of in vitro techniques to facilitate characterization of hepatobiliary transport. However, challenges exist in the quantitative in vitro-in vivo extrapolation of transporter kinetics due to the lack of information on absolute abundance of the transporter in both in vitro and in vivo situations, and/or differential function in the holistic in vitro reagents such as suspended and plated hepatocytes systems, and lack of complete mechanistic understanding of liver model structure. On the other hand, models to predict transporter-mediated DDIs range from basic models to mechanistic static and dynamic models. While basic models provide conservative estimates and are useful upfront in avoiding false negative predictions, mechanistic models integrate multiple victim and perpetrator drugs parameters and are expected to provide quantitative predictions. The aim of this paper is to review the current state of the model-based approaches to predict clinical pharmacokinetics and DDIs of drugs or NMEs that are substrates of hepatic transporters.

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Year:  2014        PMID: 25056496     DOI: 10.1007/s40262-014-0156-z

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  135 in total

1.  Involvement of transporters in the hepatic uptake and biliary excretion of valsartan, a selective antagonist of the angiotensin II AT1-receptor, in humans.

Authors:  Wakaba Yamashiro; Kazuya Maeda; Masakazu Hirouchi; Yasuhisa Adachi; Zhuohan Hu; Yuichi Sugiyama
Journal:  Drug Metab Dispos       Date:  2006-04-19       Impact factor: 3.922

Review 2.  Targeting intestinal transporters for optimizing oral drug absorption.

Authors:  Manthena V Varma; Catherine M Ambler; Mohammad Ullah; Charles J Rotter; Hao Sun; John Litchfield; Katherine S Fenner; Ayman F El-Kattan
Journal:  Curr Drug Metab       Date:  2010-11       Impact factor: 3.731

Review 3.  Membrane transporters in drug development.

Authors:  Kathleen M Giacomini; Shiew-Mei Huang; Donald J Tweedie; Leslie Z Benet; Kim L R Brouwer; Xiaoyan Chu; Amber Dahlin; Raymond Evers; Volker Fischer; Kathleen M Hillgren; Keith A Hoffmaster; Toshihisa Ishikawa; Dietrich Keppler; Richard B Kim; Caroline A Lee; Mikko Niemi; Joseph W Polli; Yuichi Sugiyama; Peter W Swaan; Joseph A Ware; Stephen H Wright; Sook Wah Yee; Maciej J Zamek-Gliszczynski; Lei Zhang
Journal:  Nat Rev Drug Discov       Date:  2010-03       Impact factor: 84.694

4.  Primary active transport of pravastatin across the liver canalicular membrane in normal and mutant Eisai hyperbilirubinemic rats.

Authors:  M Yamazaki; K Kobayashi; Y Sugiyama
Journal:  Biopharm Drug Dispos       Date:  1996-10       Impact factor: 1.627

5.  Acute effects of pravastatin on cholesterol synthesis are associated with SLCO1B1 (encoding OATP1B1) haplotype *17.

Authors:  Mikko Niemi; Pertti J Neuvonen; Ute Hofmann; Janne T Backman; Matthias Schwab; Dieter Lütjohann; Klaus von Bergmann; Michel Eichelbaum; Kari T Kivistö
Journal:  Pharmacogenet Genomics       Date:  2005-05       Impact factor: 2.089

6.  pH-sensitive interaction of HMG-CoA reductase inhibitors (statins) with organic anion transporting polypeptide 2B1.

Authors:  Manthena V Varma; Charles J Rotter; Jonathan Chupka; Kevin M Whalen; David B Duignan; Bo Feng; John Litchfield; Theunis C Goosen; Ayman F El-Kattan
Journal:  Mol Pharm       Date:  2011-07-11       Impact factor: 4.939

7.  Gemfibrozil increases plasma pravastatin concentrations and reduces pravastatin renal clearance.

Authors:  Carl Kyrklund; Janne T Backman; Mikko Neuvonen; Pertti J Neuvonen
Journal:  Clin Pharmacol Ther       Date:  2003-06       Impact factor: 6.875

8.  Characterization of organic anion transporting polypeptide (OATP) expression and its functional contribution to the uptake of substrates in human hepatocytes.

Authors:  Emi Kimoto; Kenta Yoshida; Larissa M Balogh; Yi-An Bi; Kazuya Maeda; Ayman El-Kattan; Yuichi Sugiyama; Yurong Lai
Journal:  Mol Pharm       Date:  2012-11-02       Impact factor: 4.939

9.  Mechanism-based pharmacokinetic modeling to evaluate transporter-enzyme interplay in drug interactions and pharmacogenetics of glyburide.

Authors:  Manthena V S Varma; Renato J Scialis; Jian Lin; Yi-An Bi; Charles J Rotter; Theunis C Goosen; Xin Yang
Journal:  AAPS J       Date:  2014-05-17       Impact factor: 4.009

10.  Dissecting the relative contribution of OATP1B1-mediated uptake of xenobiotics into human hepatocytes using siRNA.

Authors:  B Williamson; A C Soars; A Owen; P White; R J Riley; M G Soars
Journal:  Xenobiotica       Date:  2013-03-06       Impact factor: 1.908

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  19 in total

1.  Predicting Clearance Mechanism in Drug Discovery: Extended Clearance Classification System (ECCS).

Authors:  Manthena V Varma; Stefanus J Steyn; Charlotte Allerton; Ayman F El-Kattan
Journal:  Pharm Res       Date:  2015-07-09       Impact factor: 4.200

2.  Reliable Rate Measurements for Active and Passive Hepatic Uptake Using Plated Human Hepatocytes.

Authors:  Yi-An Bi; Renato J Scialis; Sarah Lazzaro; Sumathy Mathialagan; Emi Kimoto; Julie Keefer; Hui Zhang; Anna M Vildhede; Chester Costales; A David Rodrigues; Larry M Tremaine; Manthena V S Varma
Journal:  AAPS J       Date:  2017-02-10       Impact factor: 4.009

3.  When Does the Rate-Determining Step in the Hepatic Clearance of a Drug Switch from Sinusoidal Uptake to All Hepatobiliary Clearances? Implications for Predicting Drug-Drug Interactions.

Authors:  Gabriela I Patilea-Vrana; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2018-08-16       Impact factor: 3.922

4.  A Generic Model for Quantitative Prediction of Interactions Mediated by Efflux Transporters and Cytochromes: Application to P-Glycoprotein and Cytochrome 3A4.

Authors:  Michel Tod; S Goutelle; N Bleyzac; L Bourguignon
Journal:  Clin Pharmacokinet       Date:  2019-04       Impact factor: 6.447

5.  Does the Systemic Plasma Profile Inform the Liver Profile? Analysis Using a Physiologically Based Pharmacokinetic Model and Individual Compounds.

Authors:  Rui Li; Tristan S Maurer; Kevin Sweeney; Hugh A Barton
Journal:  AAPS J       Date:  2016-03-07       Impact factor: 4.009

6.  Estimating In Vivo Fractional Contribution of OATP1B1 to Human Hepatic Active Uptake by Mechanistically Modeling Pharmacogenetic Data.

Authors:  Rui Li
Journal:  AAPS J       Date:  2019-05-28       Impact factor: 4.009

7.  Pharmacological Optimization for Successful Traumatic Brain Injury Drug Development.

Authors:  Samuel M Poloyac; Richard J Bertz; Lee A McDermott; Punit Marathe
Journal:  J Neurotrauma       Date:  2019-04-10       Impact factor: 5.269

Review 8.  Sandwich-Cultured Hepatocytes as a Tool to Study Drug Disposition and Drug-Induced Liver Injury.

Authors:  Kyunghee Yang; Cen Guo; Jeffrey L Woodhead; Robert L St Claire; Paul B Watkins; Scott Q Siler; Brett A Howell; Kim L R Brouwer
Journal:  J Pharm Sci       Date:  2016-02       Impact factor: 3.534

9.  How Science Is Driving Regulatory Guidances.

Authors:  Xinning Yang; Jianghong Fan; Lei Zhang
Journal:  Methods Mol Biol       Date:  2021

10.  Quantitative Prediction of Interactions Mediated by Transporters and Cytochromes: Application to Organic Anion Transporting Polypeptides, Breast Cancer Resistance Protein and Cytochrome 2C8.

Authors:  Michel Tod; Laurent Bourguignon; Nathalie Bleyzac; Sylvain Goutelle
Journal:  Clin Pharmacokinet       Date:  2020-06       Impact factor: 6.447

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