Literature DB >> 1336859

Kinetic modeling of ouabain tissue distribution based on slow and saturable binding to Na,K-ATPase.

H Harashima1, M Mamiya, M Yamazaki, Y Sawada, T Iga, M Hanano, Y Sugiyama.   

Abstract

The significance of the binding to Na,K-ATPase in the tissue distribution of ouabain was previously documented (Harashima et al., Pharm. Res. 9:474-479, 1992). The purpose of this study was to obtain a kinetic model of ouabain tissue distribution. In most tissues, the ouabain concentration continued to rise after the termination of infusion (5 min), with the peak tissue concentration at approximately 20 min. This delay could not be explained by the rapid equilibrium model (RE model), nor could the kinetics of ouabain be explained by an RE model modified for saturable binding. Since ouabain binding to Na,K-ATPase is slow, the association and dissociation processes were incorporated into a model that can accurately fit the observed time courses of ouabain. The obtained binding parameters corresponded well with the observed values in the in vitro binding experiments, except for muscle. These results quantitatively support the role of the slow and saturable binding of ouabain to Na,K-ATPase in its tissue distribution.

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Year:  1992        PMID: 1336859     DOI: 10.1023/a:1015820610048

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


  19 in total

1.  Significance of binding to Na,K-ATPase in the tissue distribution of ouabain in guinea pigs.

Authors:  H Harashima; M Mamiya; M Yamazaki; Y Sugiyama; Y Sawada; T Iga; M Hanano
Journal:  Pharm Res       Date:  1992-04       Impact factor: 4.200

2.  Kinetics studies on the interaction between ouabain and (Na+,K+)-ATPase.

Authors:  Y R Choi; T Akera
Journal:  Biochim Biophys Acta       Date:  1977-04-12

Review 3.  A review of the applications of physiologically based pharmacokinetic modeling.

Authors:  K J Himmelstein; R J Lutz
Journal:  J Pharmacokinet Biopharm       Date:  1979-04

4.  Rates of dissociation of enzyme-ouabain complexes and K 0.5 values in (Na + + K + ) adenosine triphosphatase from different species.

Authors:  T Tobin; T M Brody
Journal:  Biochem Pharmacol       Date:  1972-06-01       Impact factor: 5.858

5.  Nonlinear tissue distribution of ouabain in rabbits.

Authors:  H Harashima; Y Sugiyama; T Iga; M Hanano
Journal:  Drug Metab Dispos       Date:  1988 Jul-Aug       Impact factor: 3.922

6.  Kinetic analysis of the positive inotropic action (PIA) of ouabain in isolated perfused rabbit heart. Slow onset of PIA and slow binding to Na+, K+-adenosine triphosphatase.

Authors:  H Harashima; Y Sugiyama; Y Sawada; K Shigenobu; Y Kasuya; T Iga; M Hanano
Journal:  J Pharmacobiodyn       Date:  1988-08

7.  A nonlinear least squares program based on differential equations, MULTI (RUNGE), for microcomputers.

Authors:  K Yamaoka; T Nakagawa
Journal:  J Pharmacobiodyn       Date:  1983-08

8.  Physiologically based pharmacokinetic model for beta-lactam antibiotics I: Tissue distribution and elimination in rats.

Authors:  A Tsuji; T Yoshikawa; K Nishide; H Minami; M Kimura; E Nakashima; T Terasaki; E Miyamoto; C H Nightingale; T Yamana
Journal:  J Pharm Sci       Date:  1983-11       Impact factor: 3.534

9.  On the uptake of materials by the intact liver. The transport and net removal of galactose.

Authors:  C A Goresky; G G Bach; B E Nadeau
Journal:  J Clin Invest       Date:  1973-05       Impact factor: 14.808

10.  A comparison of the accumulation and release of 3H-ouabain and 3H-digitoxin by guinea-pig heart muscle.

Authors:  K Kuschinsky; H Lüllmann; P A van Zwieten
Journal:  Br J Pharmacol Chemother       Date:  1968-03
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  2 in total

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

Authors:  Michael Weiss; Peng Li; Michael S Roberts
Journal:  Pharm Res       Date:  2010-07-13       Impact factor: 4.200

2.  Robust physiologically based pharmacokinetic model of rifampicin for predicting drug-drug interactions via P-glycoprotein induction and inhibition in the intestine, liver, and kidney.

Authors:  Ryuta Asaumi; Ken-Ichi Nunoya; Yoshiyuki Yamaura; Kunal S Taskar; Yuichi Sugiyama
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-06-06
  2 in total

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