Literature DB >> 19797608

Prediction of V(ss) from in vitro tissue-binding studies.

Loren M Berry1, Jonathan Roberts, Xuhai Be, Zhiyang Zhao, Min-Hwa Jasmine Lin.   

Abstract

To predict volume of distribution at steady-state (V(ss)), empirical (e.g., allometry) and mechanistic (using physicochemical property data and plasma protein binding) methods have been used. None of these approaches has been able to predict V(ss) accurately for the total compliment of a wide range of drugs. Therefore, alternative approaches would be of value. This study evaluates the utility of in vitro nonspecific tissue-binding measurements in predicting V(ss) for a wide range of drugs in rats. Literature as well as proprietary compounds were studied. It was found that in vitro tissue-binding measurements combined with calculated effects of the pH partition hypothesis often predict V(ss) more accurately than other available mechanistic methods and that this approach can compliment existing methods. The V(ss) values for some compounds were not accurately predicted using either nonspecific tissue-binding experiments or other available mechanistic methods. The V(ss) for these drugs may not be describable by nonspecific tissue binding alone; there may be significant specific components to the mechanism of distribution for these drugs, such as pH-dependent uptake into lysosomes (primarily strongly basic drugs), active transport, and/or enterohepatic recirculation. A lack of prediction for certain drugs warrants further investigation into these mechanisms and their application to more accurate prediction of V(ss) by mechanistic means.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 19797608     DOI: 10.1124/dmd.109.029629

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  8 in total

1.  A semiphysiologically based pharmacokinetic modeling approach to predict the dose-exposure relationship of an antiparasitic prodrug/active metabolite pair.

Authors:  Grace Zhixia Yan; Claudia N Generaux; Miyoung Yoon; Rachel B Goldsmith; Richard R Tidwell; James E Hall; Carol A Olson; Harvey J Clewell; Kim L R Brouwer; Mary F Paine
Journal:  Drug Metab Dispos       Date:  2011-09-27       Impact factor: 3.922

2.  Seeking Nonspecific Binding: Assessing the Reliability of Tissue Dilutions for Calculating Fraction Unbound.

Authors:  William J Jusko; Emilie A G Molins; Vivaswath S Ayyar
Journal:  Drug Metab Dispos       Date:  2020-08-05       Impact factor: 3.922

3.  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

4.  Crystal structures of human glycine receptor α3 bound to a novel class of analgesic potentiators.

Authors:  Xin Huang; Paul L Shaffer; Shawn Ayube; Howard Bregman; Hao Chen; Sonya G Lehto; Jason A Luther; David J Matson; Stefan I McDonough; Klaus Michelsen; Matthew H Plant; Stephen Schneider; Jeffrey R Simard; Yohannes Teffera; Shuyan Yi; Maosheng Zhang; Erin F DiMauro; Jacinthe Gingras
Journal:  Nat Struct Mol Biol       Date:  2016-12-19       Impact factor: 15.369

5.  Consideration of Fractional Distribution Parameter fd in the Chen and Gross Method for Tissue-to-Plasma Partition Coefficients: Comparison of Several Methods.

Authors:  Yoo-Seong Jeong; William J Jusko
Journal:  Pharm Res       Date:  2022-03-14       Impact factor: 4.580

6.  Methods to Predict Volume of Distribution.

Authors:  Kimberly Holt; Swati Nagar; Ken Korzekwa
Journal:  Curr Pharmacol Rep       Date:  2019-06-06

7.  Long-acting κ opioid antagonists nor-BNI, GNTI and JDTic: pharmacokinetics in mice and lipophilicity.

Authors:  Thomas A Munro; Loren M Berry; Ashlee Van't Veer; Cécile Béguin; F Ivy Carroll; Zhiyang Zhao; William A Carlezon; Bruce M Cohen
Journal:  BMC Pharmacol       Date:  2012-05-29

8.  Predicting volume of distribution with decision tree-based regression methods using predicted tissue:plasma partition coefficients.

Authors:  Alex A Freitas; Kriti Limbu; Taravat Ghafourian
Journal:  J Cheminform       Date:  2015-02-26       Impact factor: 5.514

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.