Literature DB >> 2281030

Phosphatidylserine as a determinant for the tissue distribution of weakly basic drugs in rats.

N Yata1, T Toyoda, T Murakami, A Nishiura, Y Higashi.   

Abstract

Interogan variation in tissue distribution of weakly basic drugs such as quinidine, propranolol, and imipramine was investigated as a function of binding to phosphatidylserine (PhS) in tissues. Tissue distributions of these drugs were determined using 10 different tissues at a steady-state plasma concentration and were expressed as tissue-to-plasma partition coefficients (Kp values). The concentration of PhS in the tissue was determined by two-dimensional thin-layer chromatography. Plotting of Kp values, except for brain, against the tissue PhS concentrations showed a linear relationship, indicating that PhS is a determinant in the interorgan variation of these tissue distributions. Further, differences in tissue distribution among the drugs was considered to be due to the difference in binding potency to PhS. Drug binding parameters to individual standard phospholipid were determined using a hexane-pH 4.0 buffer partition system. Binding was highest to PhS, and a linear relationship was found between the log nK [product of the number of binding sites (n) and the association constant (K) for PhS binding] obtained in vitro and Kp values of drugs in tissues in vivo. The empirically derived equation, Kp = 14.3 x (log nK) x (PhS conc.) - 8.09, was found to predict Kp values in vivo of weakly basic drugs. Thus, a determinant of interorgan variation in the tissue distribution of the weakly basic drugs studied was the tissue concentration of PhS and the drug binding affinity to PhS.

Entities:  

Mesh:

Substances:

Year:  1990        PMID: 2281030     DOI: 10.1023/a:1015935031933

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


  23 in total

1.  Tubulin as a major determinant of tissue distribution of vincristine.

Authors:  K Wierzba; Y Sugiyama; K Okudaira; T Iga; M Hanano
Journal:  J Pharm Sci       Date:  1987-12       Impact factor: 3.534

2.  Analysis of nonlinear tissue distribution of quinidine in rats by physiologically based pharmacokinetics.

Authors:  H Harashima; Y Sawada; Y Sugiyama; T Iga; M Hanano
Journal:  J Pharmacokinet Biopharm       Date:  1985-08

3.  A pharmacokinetic analysis program (multi) for microcomputer.

Authors:  K Yamaoka; Y Tanigawara; T Nakagawa; T Uno
Journal:  J Pharmacobiodyn       Date:  1981-11

4.  Studies on the uptake and binding of propranolol by rat tissues.

Authors:  D W Schneck; J F Pritchard; A H Hayes
Journal:  J Pharmacol Exp Ther       Date:  1977-12       Impact factor: 4.030

5.  Effect of age on the hepatic clearance of propranolol in rats.

Authors:  K Iwamoto; J Watanabe; K Araki; N Deguchi; H Sugiyama
Journal:  J Pharm Pharmacol       Date:  1985-07       Impact factor: 3.765

Review 6.  Lipid intermolecular hydrogen bonding: influence on structural organization and membrane function.

Authors:  J M Boggs
Journal:  Biochim Biophys Acta       Date:  1987-10-05

7.  Pharmacokinetic study on the mechanism of tissue distribution of doxorubicin: interorgan and interspecies variation of tissue-to-plasma partition coefficients in rats, rabbits, and guinea pigs.

Authors:  T Terasaki; T Iga; Y Sugiyama; M Hanano
Journal:  J Pharm Sci       Date:  1984-10       Impact factor: 3.534

8.  Effects of cimetidine on quinidine distribution and tissue pH in rats.

Authors:  S Shibasaki; Y Kawamata; R Nishigaki; K Umemura
Journal:  J Pharmacobiodyn       Date:  1989-06

9.  Parallel pathway interactions in imipramine metabolism in rats.

Authors:  M Chiba; S Fujita; T Suzuki
Journal:  J Pharm Sci       Date:  1988-11       Impact factor: 3.534

10.  Dialyzable serum cofactor(s) required for the protein-mediated transport of DL-propranolol into rat brain.

Authors:  T H Lin; Y Sugiyama; Y Sawada; T Iga; M Hanano
Journal:  Biochem Pharmacol       Date:  1988-08-01       Impact factor: 5.858

View more
  15 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.  Exercise and the pharmacokinetics of propranolol, verapamil and atenolol.

Authors:  M A van Baak; J M Mooij; P M Schiffers
Journal:  Eur J Clin Pharmacol       Date:  1992       Impact factor: 2.953

3.  A novel strategy for physiologically based predictions of human pharmacokinetics.

Authors:  Hannah M Jones; Neil Parrott; Karin Jorga; Thierry Lavé
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

4.  In Vitro Mechanistic Study of the Distribution of Lascufloxacin into Epithelial Lining Fluid.

Authors:  Kouhei Ohya; Junichi Takano; Shigeru Manita
Journal:  Antimicrob Agents Chemother       Date:  2019-03-27       Impact factor: 5.191

5.  A recursive-partitioning model for blood-brain barrier permeation.

Authors:  S R Mente; F Lombardo
Journal:  J Comput Aided Mol Des       Date:  2005-12-06       Impact factor: 3.686

Review 6.  Use of in vitro and in vivo data to estimate the likelihood of metabolic pharmacokinetic interactions.

Authors:  R J Bertz; G R Granneman
Journal:  Clin Pharmacokinet       Date:  1997-03       Impact factor: 6.447

Review 7.  On the Nature of Physiologically-Based Pharmacokinetic Models -A Priori or A Posteriori? Mechanistic or Empirical?

Authors:  Ken Korzekwa; Swati Nagar
Journal:  Pharm Res       Date:  2016-12-27       Impact factor: 4.200

Review 8.  Computational approaches to analyse and predict small molecule transport and distribution at cellular and subcellular levels.

Authors:  Kyoung Ah Min; Xinyuan Zhang; Jing-yu Yu; Gus R Rosania
Journal:  Biopharm Drug Dispos       Date:  2013-12-10       Impact factor: 1.627

9.  Enantioselective tissue distribution of the basic drugs disopyramide, flecainide and verapamil in rats: role of plasma protein and tissue phosphatidylserine binding.

Authors:  K Hanada; S Akimoto; K Mitsui; K Mihara; H Ogata
Journal:  Pharm Res       Date:  1998-08       Impact factor: 4.200

10.  Mechanistic approaches to volume of distribution predictions: understanding the processes.

Authors:  Trudy Rodgers; Malcolm Rowland
Journal:  Pharm Res       Date:  2007-03-20       Impact factor: 4.580

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.