Combining in vitro and in silico methods for better prediction of surfactant effects on the absorption of poorly water soluble drugs-a fenofibrate case example.

Department of Pharmacy, University of Copenhagen, Denmark. Department of Pharmacy, Uppsala University, Sweden. Global R&D, Ferring Pharmaceuticals A/S, Copenhagen, Denmark. Biologics and Pharmaceutical Sciences, H. Lundbeck A/S, Copenhagen, Denmark. AstraZeneca Pharmaceutics, R&D, Mölndal, Sweden. Bioneer:FARMA, Department of Pharmacy, Universitetsparken 2, University of Copenhagen, Copenhagen 2100, Denmark. Electronic address: Anette.mullertz@sund.ku.dk.

International journal of pharmaceutics. 2014;(1-2):356-65

Abstract

The aim of this study was to develop a sensitive and discriminative in vitro-in silico model able to simulate the in vivo performance of three fenofibrate immediate release formulations containing different surfactants. In addition, the study was designed to investigate the effect of dissolution volume when predicting the oral bioavailability of the formulations. In vitro dissolution studies were carried out using the USP apparatus 2 or a mini paddle assembly, containing 1000 mL or 100mL fasted state biorelevant medium, respectively. In silico simulations of small intestinal absorption were performed using the GI-Sim absorption model. All simulation runs were performed twice adopting either a total small intestinal volume of 533 mL or 105 mL, in order to examine the implication of free luminal water volumes for the in silico predictions. For the tested formulations, the use of a small biorelevant dissolution volume was critical for in vitro-in silico prediction of drug absorption. Good predictions, demonstrating rank order in vivo-in vitro-in silico correlations for Cmax, were obtained with in silico predictions utilizing a 105 mL estimate for the human intestinal water content combined with solubility and dissolution data performed in a mini paddle apparatus with 100mL fasted state simulated media.

Methodological quality

Publication Type : Clinical Trial

Metadata

MeSH terms : Surface-Active Agents