Literature DB >> 15267240

A physiological model for the estimation of the fraction dose absorbed in humans.

Stefan Willmann1, Walter Schmitt, Jörg Keldenich, Jörg Lippert, Jennifer B Dressman.   

Abstract

A physiologically based model for gastrointestinal transit and absorption in humans is presented. The model can be used to study the dependency of the fraction dose absorbed (F(abs)) of both neutral and ionizable compounds on the two main physicochemical input parameters (the intestinal permeability coefficient (P(int)) and the solubility in the intestinal fluids (S(int))) as well as physiological parameters such as the gastric emptying time and the intestinal transit time. For permeability-limited compounds, the model produces the established sigmoidal dependence between F(abs) and P(int). In case of solubility-limited absorption, the model enables calculation of the critical mass-solubility ratio, which defines the onset of nonlinearity in the response of fraction absorbed to dose. In addition, an analytical equation to calculate the intestinal permeability coefficient based on the compound's membrane affinity and molecular weight was used successfully in combination with the physiologically based pharmacokinetic (PB-PK) model to predict the human fraction dose absorbed of compounds with permeability-limited absorption. Cross-validation demonstrated a root-mean-square prediction error of 7% for passively absorbed compounds.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15267240     DOI: 10.1021/jm030999b

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  42 in total

Review 1.  Recent progress in the computational prediction of aqueous solubility and absorption.

Authors:  Stephen R Johnson; Weifan Zheng
Journal:  AAPS J       Date:  2006-02-03       Impact factor: 4.009

2.  Predicting pharmacokinetic food effects using biorelevant solubility media and physiologically based modelling.

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

Review 3.  Mechanistic approaches to predicting oral drug absorption.

Authors:  Weili Huang; Sau Lawrence Lee; Lawrence X Yu
Journal:  AAPS J       Date:  2009-04-21       Impact factor: 4.009

Review 4.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

Review 5.  Towards quantitative prediction of oral drug absorption.

Authors:  Jennifer B Dressman; Kirstin Thelen; Ekarat Jantratid
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

Review 6.  Drug absorption modeling as a tool to define the strategy in clinical formulation development.

Authors:  Martin Kuentz
Journal:  AAPS J       Date:  2008-08-27       Impact factor: 4.009

7.  Dynamic dissolution testing to establish in vitro/in vivo correlations for montelukast sodium, a poorly soluble drug.

Authors:  Arthur Okumu; Marie DiMaso; Raimar Löbenberg
Journal:  Pharm Res       Date:  2008-06-17       Impact factor: 4.200

8.  BDDCS applied to over 900 drugs.

Authors:  Leslie Z Benet; Fabio Broccatelli; Tudor I Oprea
Journal:  AAPS J       Date:  2011-08-05       Impact factor: 4.009

9.  Simulation of human intravenous and oral pharmacokinetics of 21 diverse compounds using physiologically based pharmacokinetic modelling.

Authors:  Hannah M Jones; Iain B Gardner; Wendy T Collard; Phil J Stanley; Penny Oxley; Natilie A Hosea; David Plowchalk; Steve Gernhardt; Jing Lin; Maurice Dickins; S Ravi Rahavendran; Barry C Jones; Kenny J Watson; Henry Pertinez; Vikas Kumar; Susan Cole
Journal:  Clin Pharmacokinet       Date:  2011-05       Impact factor: 6.447

10.  The role of permeability in drug ADME/PK, interactions and toxicity--presentation of a permeability-based classification system (PCS) for prediction of ADME/PK in humans.

Authors:  Urban Fagerholm
Journal:  Pharm Res       Date:  2007-08-21       Impact factor: 4.200

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.