Literature DB >> 27534939

Comparison of distributed and compartmental models of drug disposition: assessment of tissue uptake kinetics.

Michael Weiss1.   

Abstract

The utility of a circulatory three-compartment model for the assessment of tissue uptake kinetics is tested by comparison with the respective distributed models using pharmacokinetic data of rocuronium in patients These minimal physiologically based models have a common structure consisting of two subsystems representing the lung and the lumped systemic circulation, with two regions, the vascular and tissue space. The distributed models are based on either diffusion-limited tissue distribution, permeability-limited tissue uptake or the assumption of an empirical transit time density function. With a deviation in the estimate of the permeability-surface area product (PS) of about 18 %, the compartmental approach appears as a useful alternative on condition that a priori knowledge of cardiac output is included. It is also shown that the distribution clearance calculated from the parameters of a mammillary compartment model changes proportional to PS and can be used as an indirect measure of permeability-limited tissue uptake of drugs.

Entities:  

Keywords:  Cardiac output; Circulatory compartment model; Distribution kinetics; Permeability-limited; Rocuronium

Mesh:

Substances:

Year:  2016        PMID: 27534939     DOI: 10.1007/s10928-016-9484-y

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


  19 in total

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Authors:  Michael J Avram; Tom C Krejcie
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2.  Circulatory transport and capillary-tissue exchange as determinants of the distribution kinetics of inulin and antipyrine in dog.

Authors:  Michael Weiss; Tom C Krejcie; Michael J Avram
Journal:  J Pharm Sci       Date:  2007-04       Impact factor: 3.534

3.  A minimal physiological model of thiopental distribution kinetics based on a multiple indicator approach.

Authors:  Michael Weiss; Tom C Krejcie; Michael J Avram
Journal:  Drug Metab Dispos       Date:  2007-05-30       Impact factor: 3.922

Review 4.  Early drug distribution: a generally neglected aspect of pharmacokinetics of particular relevance to intravenously administered anesthetic agents.

Authors:  T K Henthorn; T C Krejcie; M J Avram
Journal:  Clin Pharmacol Ther       Date:  2008-07       Impact factor: 6.875

5.  The performance of compartmental and physiologically based recirculatory pharmacokinetic models for propofol: a comparison using bolus, continuous, and target-controlled infusion data.

Authors:  Kenichi Masui; Richard N Upton; Anthony G Doufas; Johan F Coetzee; Tomiei Kazama; Eric P Mortier; Michel M R F Struys
Journal:  Anesth Analg       Date:  2009-10-27       Impact factor: 5.108

6.  Pharmacokinetic curve fitting using numerical inverse Laplace transformation.

Authors:  M Schalla; M Weiss
Journal:  Eur J Pharm Sci       Date:  1999-03       Impact factor: 4.384

7.  Development of appropriate equations for physiologically based pharmacokinetic modeling of permeability-limited and flow-limited transport.

Authors:  Matthew D Thompson; Daniel A Beard
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-05-17       Impact factor: 2.745

8.  Transit time dispersion in pulmonary and systemic circulation: effects of cardiac output and solute diffusivity.

Authors:  Michael Weiss; Tom C Krejcie; Michael J Avram
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-02-24       Impact factor: 4.733

9.  How does obesity affect residence time dispersion and the shape of drug disposition curves? Thiopental as an example.

Authors:  Michael Weiss
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-05-09       Impact factor: 2.745

10.  Human insulin dynamics in women: a physiologically based model.

Authors:  Michael Weiss; Andrea Tura; Alexandra Kautzky-Willer; Giovanni Pacini; David Z D'Argenio
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-11-25       Impact factor: 3.619

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  1 in total

1.  A Minimal PKPD Interaction Model for Evaluating Synergy Effects of Combined NSCLC Therapies.

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Journal:  J Clin Med       Date:  2020-06-12       Impact factor: 4.241

  1 in total

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