Literature DB >> 20625800

An improved nonlinear model describing the hepatic pharmacokinetics of digoxin: evidence for two functionally different uptake systems and saturable binding.

Michael Weiss1, Peng Li, Michael S Roberts.   

Abstract

PURPOSE: To develop a semi-distributed liver model for the evaluation of saturable sinusoidal uptake and binding kinetics of the Oatp1a4 substrate digoxin.
METHODS: In the perfused rat liver, two successive digoxin doses of 42 and 125 microg were administered, and the outflow concentration was determined by LC/MS/MS. [14C]-sucrose was used as vascular reference. The data were analyzed simultaneously by a population approach using sucrose to determine the sinusoidal mixing of digoxin.
RESULTS: The results suggest the existence of a high-affinity, low-capacity system, and a low-affinity, high-capacity system for sinusoidal uptake with apparent Michaelis constants (K(M)) of 0.24 and 332 microg/ml, respectively. Incorporation of saturable sinusoidal binding of digoxin considerably improved the fit, and the parameter estimates were consistent with those of binding to hepatic Na,K-ATPase. Simpler models that neglect the concentration gradient in flow direction failed to describe the outflow data in the high dose range.
CONCLUSION: The semi-distributed liver model with saturable uptake should be useful for a functional characterization of transporters in the in situ rat liver.

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Year:  2010        PMID: 20625800     DOI: 10.1007/s11095-010-0204-9

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  28 in total

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

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3.  Hepatic binding and Michaelis-Menten metabolism of drugs.

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4.  Functional characterization of human organic anion transporting polypeptide B (OATP-B) in comparison with liver-specific OATP-C.

Authors:  I Tamai; T Nozawa; M Koshida; J Nezu; Y Sai; A Tsuji
Journal:  Pharm Res       Date:  2001-09       Impact factor: 4.200

5.  Hepatic Na(+)-K(+)-ATPase enzyme activity correlates with polarized beta-subunit expression.

Authors:  F R Simon; H L Leffert; M Ellisman; M Iwahashi; T Deerinck; J Fortune; D Morales; R Dahl; E Sutherland
Journal:  Am J Physiol       Date:  1995-07

6.  Predominant contribution of rat organic anion transporting polypeptide-2 (Oatp2) to hepatic uptake of beta-lactam antibiotics.

Authors:  Masanori Nakakariya; Taiki Shimada; Masanori Irokawa; Hiroyuki Koibuchi; Takashi Iwanaga; Hikaru Yabuuchi; Tomoji Maeda; Ikumi Tamai
Journal:  Pharm Res       Date:  2007-09-22       Impact factor: 4.200

7.  Systems analysis of digoxin kinetics and inotropic response in the rat heart: effects of calcium and KB-R7943.

Authors:  Michael Weiss; Myoungki Baek; Wonku Kang
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-05-06       Impact factor: 4.733

8.  Kinetic analysis of saturable hepatic uptake of digoxin and its inhibition by rifampicin.

Authors:  Michael Weiss; Daniel Y Hung; Klaus Poenicke; Michael S Roberts
Journal:  Eur J Pharm Sci       Date:  2008-06-03       Impact factor: 4.384

9.  Increased (Na+,K+)-ATPase concentrations in various tissues of rats caused by thyroid hormone treatment.

Authors:  M H Lin; T Akera
Journal:  J Biol Chem       Date:  1978-02-10       Impact factor: 5.157

10.  The blood-brain barrier thyroxine transporter organic anion-transporting polypeptide 1c1 displays atypical transport kinetics.

Authors:  Daniel E Westholm; David R Salo; Kevin J Viken; Jon N Rumbley; Grant W Anderson
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  2 in total

1.  Hepatocellular necrosis, fibrosis and microsomal activity determine the hepatic pharmacokinetics of basic drugs in right-heart-failure-induced liver damage.

Authors:  Peng Li; Thomas A Robertson; Qian Zhang; Linda M Fletcher; Darrell H G Crawford; Michael Weiss; Michael S Roberts
Journal:  Pharm Res       Date:  2012-06       Impact factor: 4.200

Review 2.  Drug structure-transport relationships.

Authors:  Michael S Roberts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-11-24       Impact factor: 2.745

  2 in total

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