Literature DB >> 3580515

Prediction of drug distribution in vivo on the basis of in vitro binding data.

G Schuhmann, B Fichtl, H Kurz.   

Abstract

For 11 drugs it was investigated whether tissue distribution in vivo can be predicted by use of binding data obtained in vitro. The selection of drugs represented a broad spectrum of physicochemical and pharmacokinetic properties thought to be important for distribution of drugs in vivo. The extent of binding to plasma and to tissue-homogenates of rabbits was determined in vitro. The drug concentrations in plasma, liver, lungs, kidneys, and skeletal muscle of rabbits were determined in vivo after i.v. administration of the drug. The tissue-plasma partition ratios measured in vivo were compared with the theoretical tissue-plasma partition ratios calculated from the in vitro binding data. For all drugs investigated the muscle-plasma partition ratio could be reasonably well predicted by the in vitro binding data. In liver, lungs, and kidneys good agreement was found between measured and predicted tissue-plasma ratio for anionic drugs; marked differences, however, were observed between measured and predicted tissue-plasma ratios of lipophilic cationic drugs. A significant correlation was found between binding of drugs to muscle tissue in vitro and the volume of distribution of the unbound drug (Vf), opening the possibility to approximate Vf from in vitro binding studies with rabbit muscle tissue.

Entities:  

Mesh:

Substances:

Year:  1987        PMID: 3580515     DOI: 10.1002/bdd.2510080109

Source DB:  PubMed          Journal:  Biopharm Drug Dispos        ISSN: 0142-2782            Impact factor:   1.627


  6 in total

1.  Prediction of in vivo tissue distribution from in vitro data. 3. Correlation between in vitro and in vivo tissue distribution of a homologous series of nine 5-n-alkyl-5-ethyl barbituric acids.

Authors:  Peter Ballard; David E Leahy; Malcolm Rowland
Journal:  Pharm Res       Date:  2003-06       Impact factor: 4.200

2.  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

3.  An understanding of flow- and diffusion-limited vs. carrier-mediated hepatic transport: a simulation study.

Authors:  W P Geng; K Poon; K S Pang
Journal:  J Pharmacokinet Biopharm       Date:  1995-08

4.  Modeling Corticosteroid Pharmacokinetics and Pharmacodynamics, Part I: Determination and Prediction of Dexamethasone and Methylprednisolone Tissue Binding in the Rat.

Authors:  Vivaswath S Ayyar; Dawei Song; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2019-06-13       Impact factor: 4.030

5.  Application of chemical reaction engineering principles to 'body-on-a-chip' systems.

Authors:  Jong Hwan Sung; Ying I Wang; Jung Hun Kim; Jong Min Lee; Michael L Shuler
Journal:  AIChE J       Date:  2018-10-12       Impact factor: 3.993

6.  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

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.