Predicting human drug pharmacokinetics from in vitro permeability using an absorption-disposition model

J Pharm Sci. 2007 Aug;96(8):2161-70. doi: 10.1002/jps.20866.

Abstract

The purpose of this research is to simulate the in vivo performance of drugs with a wide range of solubility and permeability characteristics formulated as oral dosage forms. The absorption-disposition model was developed using a number of physiological parameters as well as in vitro permeability data generated with Caco-2 cells, 2/4/A1 cells, and hexadecane membranes. A total of 13 drugs with varying solubility and permeability properties were examined using the absorption-disposition model to predict their pharmacokinetic profile. The correlation of predicted and experimentally determined AUC and Cmax, as measures of the pharmacokinetic profile, were >0.96 for all permeation techniques examined. The predictive ability of the model is influenced by the type of permeation method employed; 2/4/A1 cell data yielded the highest degree of accuracy in predicting Cmax and AUC values. The absorption-disposition model developed in this work accurately predicts the in vivo performance of a wide range of orally administered drugs with 8 of 9 drugs examined falling within 80-125% of the experimental value of AUC when using 2/4/A1 cells.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Administration, Oral
  • Area Under Curve
  • Caco-2 Cells
  • Cell Line
  • Cell Membrane Permeability / physiology*
  • Computer Simulation
  • Dose-Response Relationship, Drug
  • Humans
  • In Vitro Techniques
  • Intestinal Absorption / physiology*
  • Kinetics
  • Membranes, Artificial
  • Models, Biological
  • Pharmaceutical Preparations / metabolism*
  • Pharmacokinetics*
  • Predictive Value of Tests
  • Solubility

Substances

  • Membranes, Artificial
  • Pharmaceutical Preparations