Literature DB >> 17051440

Physiologically based synthetic models of hepatic disposition.

C Anthony Hunt1, Glen E P Ropella, Li Yan, Daniel Y Hung, Michael S Roberts.   

Abstract

Current physiologically based pharmacokinetic (PBPK) models are inductive. We present an additional, different approach that is based on the synthetic rather than the inductive approach to modeling and simulation. It relies on object-oriented programming. A model of the referent system in its experimental context is synthesized by assembling objects that represent components such as molecules, cells, aspects of tissue architecture, catheters, etc. The single pass perfused rat liver has been well described in evaluating hepatic drug pharmacokinetics (PK) and is the system on which we focus. In silico experiments begin with administration of objects representing actual compounds. Data are collected in a manner analogous to that in the referent PK experiments. The synthetic modeling method allows for recognition and representation of discrete event and discrete time processes, as well as heterogeneity in organization, function, and spatial effects. An application is developed for sucrose and antipyrine, administered separately and together. PBPK modeling has made extensive progress in characterizing abstracted PK properties but this has also been its limitation. Now, other important questions and possible extensions emerge. How are these PK properties and the observed behaviors generated? The inherent heuristic limitations of traditional models have hindered getting meaningful, detailed answers to such questions. Synthetic models of the type described here are specifically intended to help answer such questions. Analogous to wet-lab experimental models, they retain their applicability even when broken apart into sub-components. Having and applying this new class of models along with traditional PK modeling methods is expected to increase the productivity of pharmaceutical research at all levels that make use of modeling and simulation.

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Year:  2006        PMID: 17051440     DOI: 10.1007/s10928-006-9031-3

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


  25 in total

1.  Structure-hepatic disposition relationships for cationic drugs in isolated perfused rat livers: transmembrane exchange and cytoplasmic binding process.

Authors:  D Y Hung; P Chang; M Weiss; M S Roberts
Journal:  J Pharmacol Exp Ther       Date:  2001-05       Impact factor: 4.030

2.  Modeling of hepatic elimination and organ distribution kinetics with the extended convection-dispersion model.

Authors:  M S Roberts; Y G Anissimov
Journal:  J Pharmacokinet Biopharm       Date:  1999-08

3.  Catheter effects in organ perfusion experiments.

Authors:  Yuri G Anissimov; Anthony G Bracken; Michael S Roberts
Journal:  J Theor Biol       Date:  2002-01-21       Impact factor: 2.691

4.  The multiple indicator-dilution method for the study of enzyme heterogeneity in liver: theoretical basis.

Authors:  A J Schwab; K S Pang
Journal:  Drug Metab Dispos       Date:  1999-06       Impact factor: 3.922

Review 5.  Enterohepatic circulation: physiological, pharmacokinetic and clinical implications.

Authors:  Michael S Roberts; Beatrice M Magnusson; Frank J Burczynski; Michael Weiss
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

Review 6.  Toxicokinetic modeling and its applications in chemical risk assessment.

Authors:  Melvin E Andersen
Journal:  Toxicol Lett       Date:  2003-02-18       Impact factor: 4.372

7.  Intralobular heterogeneity of oxidative stress and cell death in ischemia-reperfused rat liver.

Authors:  Y Kato; J Tanaka ; K Koyama
Journal:  J Surg Res       Date:  2001-02       Impact factor: 2.192

8.  In silico experiments of existing and hypothetical cytokine-directed clinical trials using agent-based modeling.

Authors:  Gary An
Journal:  Crit Care Med       Date:  2004-10       Impact factor: 7.598

9.  Effects of perfusate flow rate on measured blood volume, disse space, intracellular water space, and drug extraction in the perfused rat liver preparation: characterization by the multiple indicator dilution technique.

Authors:  K S Pang; W F Lee; W F Cherry; V Yuen; J Accaputo; S Fayz; A J Schwab; C A Goresky
Journal:  J Pharmacokinet Biopharm       Date:  1988-12

10.  Three-dimensional reconstruction of parenchymal units in the liver of the rat.

Authors:  H F Teutsch; D Schuerfeld; E Groezinger
Journal:  Hepatology       Date:  1999-02       Impact factor: 17.425

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  25 in total

1.  Modeling and simulation of hepatic drug disposition using a physiologically based, multi-agent in silico liver.

Authors:  Li Yan; Glen E P Ropella; Sunwoo Park; Michael S Roberts; C Anthony Hunt
Journal:  Pharm Res       Date:  2007-11-28       Impact factor: 4.200

Review 2.  At the biological modeling and simulation frontier.

Authors:  C Anthony Hunt; Glen E P Ropella; Tai Ning Lam; Jonathan Tang; Sean H J Kim; Jesse A Engelberg; Shahab Sheikh-Bahaei
Journal:  Pharm Res       Date:  2009-09-09       Impact factor: 4.200

3.  Tissue-level modeling of xenobiotic metabolism in liver: An emerging tool for enabling clinical translational research.

Authors:  Marianthi G Lerapetritou; Panos G Georgopoulos; Charles M Roth; Loannis P Androulakis
Journal:  Clin Transl Sci       Date:  2009-06       Impact factor: 4.689

4.  Computational experiments reveal plausible mechanisms for changing patterns of hepatic zonation of xenobiotic clearance and hepatotoxicity.

Authors:  Shahab Sheikh-Bahaei; Jacquelyn J Maher; C Anthony Hunt
Journal:  J Theor Biol       Date:  2010-06-10       Impact factor: 2.691

Review 5.  Agent-based models in translational systems biology.

Authors:  Gary An; Qi Mi; Joyeeta Dutta-Moscato; Yoram Vodovotz
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Sep-Oct

6.  An agent-based modeling framework linking inflammation and cancer using evolutionary principles: description of a generative hierarchy for the hallmarks of cancer and developing a bridge between mechanism and epidemiological data.

Authors:  Gary An; Swati Kulkarni
Journal:  Math Biosci       Date:  2014-08-01       Impact factor: 2.144

7.  Agent-based model of fecal microbial transplant effect on bile acid metabolism on suppressing Clostridium difficile infection: an example of agent-based modeling of intestinal bacterial infection.

Authors:  Xavier Peer; Gary An
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-29       Impact factor: 2.745

8.  Detailed qualitative dynamic knowledge representation using a BioNetGen model of TLR-4 signaling and preconditioning.

Authors:  Gary C An; James R Faeder
Journal:  Math Biosci       Date:  2008-09-12       Impact factor: 2.144

9.  Challenges and rewards on the road to translational systems biology in acute illness: four case reports from interdisciplinary teams.

Authors:  Gary An; C Anthony Hunt; Gilles Clermont; Edmund Neugebauer; Yoram Vodovotz
Journal:  J Crit Care       Date:  2007-06       Impact factor: 3.425

10.  A computational approach to understand in vitro alveolar morphogenesis.

Authors:  Sean H J Kim; Wei Yu; Keith Mostov; Michael A Matthay; C Anthony Hunt
Journal:  PLoS One       Date:  2009-03-13       Impact factor: 3.240

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