Literature DB >> 21153869

Physiologically-based pharmacokinetic modeling for absorption, transport, metabolism and excretion.

K Sandy Pang1, Matthew R Durk.   

Abstract

The seminal paper on the liver physiologically-based pharmacokinetic (PBPK) model by Rowland et al. (J Pharmacokinet Biopharm 1:123-136, 1973) that described the influence of blood flow, intrinsic clearance, and binding on hepatic clearance had inspired further development of PBPK modeling of the liver, kidney and intestine as well as whole body. Shortly thereafter, a series of papers from Pang and Rowland compared the well-stirred and parallel-tube liver models and sparked further development on clearance concepts in the liver, including those described by the dispersion model. From 2005 onwards, several seminal papers by Rodgers and Rowland, in their recognition of the binding of molecules to tissue acidic and neutral phospholipids, improved the methodology in providing estimates of the tissue-to-plasma coefficient and rendering easy calculation of these hard-to-get constants. The improvement has strongly consolidated the basic premise on PBPK modeling and simulations and these basics have allowed scientists to focus on other important variables: membrane barriers, and transporter and enzyme and their heterogeneities that further impact drug disposition. In particular, the PBPK models have delved into sequential metabolism and futile cycling to illustrate how transporters and enzymes could affect the metabolism of drugs and metabolites. PBPK models that are especially pertinent to metabolite kinetics are being utilized in drug studies and risk assessment. These types of PBPK modeling reveal differences in kinetics between the formed vs. preformed metabolite, showing special considerations for membrane barriers, and the influence of competing pathways and competing organs.

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Year:  2010        PMID: 21153869     DOI: 10.1007/s10928-010-9185-x

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  88 in total

1.  Hepatic uptake and metabolism of benzoate: a multiple indicator dilution, perfused rat liver study.

Authors:  A J Schwab; L Tao; T Yoshimura; A Simard; F Barker; K S Pang
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2001-06       Impact factor: 4.052

2.  Segmental intestinal transporters and metabolic enzymes on intestinal drug absorption.

Authors:  Debbie Tam; Rommel G Tirona; K Sandy Pang
Journal:  Drug Metab Dispos       Date:  2003-04       Impact factor: 3.922

Review 3.  An integrated approach to model hepatic drug clearance.

Authors:  Lichuan Liu; K Sandy Pang
Journal:  Eur J Pharm Sci       Date:  2006-05-22       Impact factor: 4.384

4.  Stereoselective pharmacokinetics of ketoprofen and ketoprofen glucuronide in end-stage renal disease: evidence for a 'futile cycle' of elimination.

Authors:  N G Grubb; D W Rudy; D C Brater; S D Hall
Journal:  Br J Clin Pharmacol       Date:  1999-10       Impact factor: 4.335

5.  Effect of flow on first-pass metabolism of drugs: single pass studies on 4-methylumbelliferone conjugation in the serially perfused rat intestine and liver preparations.

Authors:  J Chen; K S Pang
Journal:  J Pharmacol Exp Ther       Date:  1997-01       Impact factor: 4.030

6.  Sequential first-pass elimination of a metabolite derived from a precursor.

Authors:  K S Pang; J R Gillette
Journal:  J Pharmacokinet Biopharm       Date:  1979-06

7.  Futile cycling between 4-methylumbelliferone and its conjugates in perfused rat liver.

Authors:  S Ratna; M Chiba; L Bandyopadhyay; K S Pang
Journal:  Hepatology       Date:  1993-05       Impact factor: 17.425

Review 8.  Qualitative analysis of the role of metabolites in inhibitory drug-drug interactions: literature evaluation based on the metabolism and transport drug interaction database.

Authors:  Nina Isoherranen; Houda Hachad; Catherine K Yeung; Rene H Levy
Journal:  Chem Res Toxicol       Date:  2009-02       Impact factor: 3.739

9.  Physiologically based pharmacokinetics and the risk assessment process for methylene chloride.

Authors:  M E Andersen; H J Clewell; M L Gargas; F A Smith; R H Reitz
Journal:  Toxicol Appl Pharmacol       Date:  1987-02       Impact factor: 4.219

10.  Physiologically based pharmacokinetic modeling to predict transporter-mediated clearance and distribution of pravastatin in humans.

Authors:  Takao Watanabe; Hiroyuki Kusuhara; Kazuya Maeda; Yoshihisa Shitara; Yuichi Sugiyama
Journal:  J Pharmacol Exp Ther       Date:  2008-11-10       Impact factor: 4.030

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  13 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.  Dose selection based on physiologically based pharmacokinetic (PBPK) approaches.

Authors:  Hannah M Jones; Kapil Mayawala; Patrick Poulin
Journal:  AAPS J       Date:  2012-12-27       Impact factor: 4.009

3.  A hybrid model to evaluate the impact of active uptake transport on hepatic distribution of atorvastatin in rats.

Authors:  Priyanka Kulkarni; Ken Korzekwa; Swati Nagar
Journal:  Xenobiotica       Date:  2019-10-01       Impact factor: 1.908

Review 4.  Mechanisms underlying food-drug interactions: inhibition of intestinal metabolism and transport.

Authors:  Christina S Won; Nicholas H Oberlies; Mary F Paine
Journal:  Pharmacol Ther       Date:  2012-08-04       Impact factor: 12.310

Review 5.  Physiologically based pharmacokinetic models: integration of in silico approaches with micro cell culture analogues.

Authors:  A Chen; M L Yarmush; T Maguire
Journal:  Curr Drug Metab       Date:  2012-07       Impact factor: 3.731

6.  Application of physiologically based pharmacokinetic models in chemical risk assessment.

Authors:  Moiz Mumtaz; Jeffrey Fisher; Benjamin Blount; Patricia Ruiz
Journal:  J Toxicol       Date:  2012-03-19

7.  Mixed nanomicelles as potential carriers for systemic delivery of Z-GP-Dox, an FAPα-based doxorubicin prodrug: formulation and pharmacokinetic evaluation.

Authors:  Yuchen Zhang; Xingwang Zhang; Hongming Liu; Shaohui Cai; Baojian Wu
Journal:  Int J Nanomedicine       Date:  2015-02-26

8.  Using Bayesian-PBPK modeling for assessment of inter-individual variability and subgroup stratification.

Authors:  Markus Krauss; Rolf Burghaus; Jörg Lippert; Mikko Niemi; Pertti Neuvonen; Andreas Schuppert; Stefan Willmann; Lars Kuepfer; Linus Görlitz
Journal:  In Silico Pharmacol       Date:  2013-04-11

9.  Representative Sinusoids for Hepatic Four-Scale Pharmacokinetics Simulations.

Authors:  Lars Ole Schwen; Arne Schenk; Clemens Kreutz; Jens Timmer; María Matilde Bartolomé Rodríguez; Lars Kuepfer; Tobias Preusser
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

10.  Basic concepts in physiologically based pharmacokinetic modeling in drug discovery and development.

Authors:  Hm Jones; K Rowland-Yeo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-08-14
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