Literature DB >> 22927116

Absolute abundance and function of intestinal drug transporters: a prerequisite for fully mechanistic in vitro-in vivo extrapolation of oral drug absorption.

M D Harwood1, S Neuhoff, G L Carlson, G Warhurst, A Rostami-Hodjegan.   

Abstract

The use of whole body physiological-based pharmacokinetic (PBPK) models linked with in vitro-in vivo extrapolation (IVIVE) of kinetic parameters from laboratory experiments, has become embedded within many of the pharmaceutical industry and is used even as part of regulatory submissions. These include the influence of transporter proteins on drug disposition, a subject for which we have witnessed an increasing awareness. A combination of the development of high-powered analytical techniques and antibody-based technology, together with a realization that an understanding of absolute transporter protein abundances together with activity can potentially enhance the modelling of transporter kinetics by PBPK-IVIVE link models. This review summarizes the mechanistic approaches to integrate suitable non-biased in vitro transporter kinetic data relevant to the intestine (i.e. 'intrinsic' K(i) , 'intrinsic' K(m) ), by in vitro system modelling for these kinetic inputs with the advantages of, and challenges for, generating these data for input into PBPK models. This step is considered as a prerequisite for mechanistic modelling of the oral absorption for drugs that are substrates for transporters. Various approaches are provided to integrate intestinal transporter expression into PBPK models with a perspective on the incorporation of the absolute abundance/activity of transporters to enhance the predictive power of the models. We define the key intestinal tissue and functional expression-based scaling factors required. The objective is to use these for facilitating the extrapolation from in vitro intestinal transporter assays to the in vivo system, using absolute quantification methodologies. The models could be used to elucidate the complex relationship and relative importance of metabolizing enzymes and transporters in drug disposition and toxicity.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22927116     DOI: 10.1002/bdd.1810

Source DB:  PubMed          Journal:  Biopharm Drug Dispos        ISSN: 0142-2782            Impact factor:   1.627


  29 in total

Review 1.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

Review 2.  Mass spectrometry-based targeted proteomics as a tool to elucidate the expression and function of intestinal drug transporters.

Authors:  Stefan Oswald; Christian Gröer; Marek Drozdzik; Werner Siegmund
Journal:  AAPS J       Date:  2013-08-28       Impact factor: 4.009

3.  Correlation between Apparent Substrate Affinity and OCT2 Transport Turnover.

Authors:  Alyscia Cory Severance; Philip J Sandoval; Stephen H Wright
Journal:  J Pharmacol Exp Ther       Date:  2017-06-14       Impact factor: 4.030

4.  Interindividual variability in hepatic organic anion-transporting polypeptides and P-glycoprotein (ABCB1) protein expression: quantification by liquid chromatography tandem mass spectroscopy and influence of genotype, age, and sex.

Authors:  Bhagwat Prasad; Raymond Evers; Anshul Gupta; Cornelis E C A Hop; Laurent Salphati; Suneet Shukla; Suresh V Ambudkar; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2013-10-11       Impact factor: 3.922

Review 5.  Optimized approaches for quantification of drug transporters in tissues and cells by MRM proteomics.

Authors:  Bhagwat Prasad; Jashvant D Unadkat
Journal:  AAPS J       Date:  2014-04-22       Impact factor: 4.009

6.  Strategies of Drug Transporter Quantitation by LC-MS: Importance of Peptide Selection and Digestion Efficiency.

Authors:  Buyun Chen; Liling Liu; Hoangdung Ho; Yuan Chen; Ze Yang; Xiaorong Liang; Jian Payandeh; Brian Dean; Cornelis E C A Hop; Yuzhong Deng
Journal:  AAPS J       Date:  2017-06-06       Impact factor: 4.009

7.  Physiologically Based Pharmacokinetic (PBPK) Modeling of Pitavastatin and Atorvastatin to Predict Drug-Drug Interactions (DDIs).

Authors:  Peng Duan; Ping Zhao; Lei Zhang
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-08       Impact factor: 2.441

8.  Implications of intercorrelation between hepatic CYP3A4-CYP2C8 enzymes for the evaluation of drug-drug interactions: a case study with repaglinide.

Authors:  Kosuke Doki; Adam S Darwich; Brahim Achour; Aleksi Tornio; Janne T Backman; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2018-03-06       Impact factor: 4.335

9.  Prediction of Cyclosporin-Mediated Drug Interaction Using Physiologically Based Pharmacokinetic Model Characterizing Interplay of Drug Transporters and Enzymes.

Authors:  Yiting Yang; Ping Li; Zexin Zhang; Zhongjian Wang; Li Liu; Xiaodong Liu
Journal:  Int J Mol Sci       Date:  2020-09-24       Impact factor: 5.923

10.  Quantitative ADME proteomics - CYP and UGT enzymes in the Beagle dog liver and intestine.

Authors:  Aki T Heikkinen; Arno Friedlein; Mariette Matondo; Oliver J D Hatley; Aleksanteri Petsalo; Risto Juvonen; Aleksandra Galetin; Amin Rostami-Hodjegan; Ruedi Aebersold; Jens Lamerz; Tom Dunkley; Paul Cutler; Neil Parrott
Journal:  Pharm Res       Date:  2014-07-18       Impact factor: 4.200

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