Literature DB >> 9039395

A note on the interpretation of tracer dispersion in the liver.

M Weiss1.   

Abstract

The transit time distribution of intravascular markers and highly diffusible solutes is determined by the mixing process within the network of interconnected sinusoids. Based on the role of the relative dispersion or coefficient of variation (CV2) of transit times as a measure of distribution dynamics (macromixing) various intrahepatic mixing processes are discussed, which are implied by current models of hepatic elimination. The opposite extremes of perfect micromixing and complete segregation are reflected by the dispersion model and the distributed parallel tube model, respectively. Assuming various capillary structures-including that of a fractal network-the dispersion models differ with regard to the predicted scaling behaviour of CV2. The observed flow independence of CV2 suggests that molecular diffusion and Taylor dispersion can be neglected but does not allow discrimination between mixing models.

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Year:  1997        PMID: 9039395     DOI: 10.1006/jtbi.1996.0265

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  10 in total

1.  Cellular pharmacokinetics: effects of cytoplasmic diffusion and binding on organ transit time distribution.

Authors:  M Weiss
Journal:  J Pharmacokinet Biopharm       Date:  1999-06

2.  Analysis of nonlinear and nonsteady state hepatic extraction with the dispersion model using the finite difference method.

Authors:  A Hisaka; Y Sugiyama
Journal:  J Pharmacokinet Biopharm       Date:  1998-10

3.  Effects of old age on vascular complexity and dispersion of the hepatic sinusoidal network.

Authors:  Alessandra Warren; Slawomir Chaberek; Kazimierz Ostrowski; Victoria C Cogger; Sarah N Hilmer; Robert S McCuskey; Robin Fraser; David G Le Couteur
Journal:  Microcirculation       Date:  2008-04       Impact factor: 2.628

4.  Application of the dispersion model for description of the outflow dilution profiles of noneliminated reference indicators in rat liver perfusion studies.

Authors:  A J Schwab; W Geng; K S Pang
Journal:  J Pharmacokinet Biopharm       Date:  1998-04

5.  On the degree of solute mixing in liver models of drug elimination.

Authors:  M Weiss
Journal:  J Pharmacokinet Biopharm       Date:  1997-06

6.  Fractal structure of the liver: effect on drug elimination.

Authors:  Michael Weiss
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-12-05       Impact factor: 2.745

7.  Reassessing models of hepatic extraction.

Authors:  D Ridgway; J A Tuszynski; Y K Tam
Journal:  J Biol Phys       Date:  2003-03       Impact factor: 1.365

8.  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

9.  Cytoplasmic binding and disposition kinetics of diclofenac in the isolated perfused rat liver.

Authors:  M Weiss; O Kuhlmann; D Y Hung; M S Roberts
Journal:  Br J Pharmacol       Date:  2000-07       Impact factor: 8.739

10.  Fractal michaelis-menten kinetics under steady state conditions: Application to mibefradil.

Authors:  Rebeccah E Marsh; Jack A Tuszyński
Journal:  Pharm Res       Date:  2006-10-25       Impact factor: 4.580

  10 in total

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