Back to Search Start Over

Utilization of Gastrointestinal Simulator, an in Vivo Predictive Dissolution Methodology, Coupled with Computational Approach To Forecast Oral Absorption of Dipyridamole.

Authors :
Matsui K
Tsume Y
Takeuchi S
Searls A
Amidon GL
Source :
Molecular pharmaceutics [Mol Pharm] 2017 Apr 03; Vol. 14 (4), pp. 1181-1189. Date of Electronic Publication: 2017 Mar 03.
Publication Year :
2017

Abstract

Weakly basic drugs exhibit a pH-dependent dissolution profile in the gastrointestinal (GI) tract, which makes it difficult to predict their oral absorption profile. The aim of this study was to investigate the utility of the gastrointestinal simulator (GIS), a novel in vivo predictive dissolution (iPD) methodology, in predicting the in vivo behavior of the weakly basic drug dipyridamole when coupled with in silico analysis. The GIS is a multicompartmental dissolution apparatus, which represents physiological gastric emptying in the fasted state. Kinetic parameters for drug dissolution and precipitation were optimized by fitting a curve to the dissolved drug amount-time profiles in the United States Pharmacopeia apparatus II and GIS. Optimized parameters were incorporated into mathematical equations to describe the mass transport kinetics of dipyridamole in the GI tract. By using this in silico model, intraluminal drug concentration-time profile was simulated. The predicted profile of dipyridamole in the duodenal compartment adequately captured observed data. In addition, the plasma concentration-time profile was also predicted using pharmacokinetic parameters following intravenous administration. On the basis of the comparison with observed data, the in silico approach coupled with the GIS successfully predicted in vivo pharmacokinetic profiles. Although further investigations are still required to generalize, these results indicated that incorporating GIS data into mathematical equations improves the predictability of in vivo behavior of weakly basic drugs like dipyridamole.

Details

Language :
English
ISSN :
1543-8392
Volume :
14
Issue :
4
Database :
MEDLINE
Journal :
Molecular pharmaceutics
Publication Type :
Academic Journal
Accession number :
28231003
Full Text :
https://doi.org/10.1021/acs.molpharmaceut.6b01063