Evaluating the impact of acid-reducing agents on drug absorption using biorelevant in vitro tools and PBPK modeling - case example dipyridamole.

Eur J Pharm Sci

Institute of Pharmaceutical Technology, J. W. Goethe University, 9 Max von Laue St., 60438, Frankfurt am Main, Germany; Fraunhofer Institute of Translational Medicine and Pharmacology, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany. Electronic address:

Published: May 2021

AI Article Synopsis

  • In vitro and in silico techniques are crucial for evaluating metabolic drug-drug interactions (DDIs), particularly the effects of acid-reducing agents (ARAs) on the pharmacokinetics of poorly soluble basic drugs.
  • Dipyridamole dissolution testing with biorelevant media showed that existing in vitro methods might overestimate drug precipitation in the intestines, prompting the use of one-stage dissolution testing and PBPK modeling for better accuracy.
  • Results indicated that the combination of dissolution methods and PBPK modeling effectively simulated ARA-related interactions with dipyridamole, and that the TIM-1 system could also forecast these effects when adjusted for gastric pH changes.

Article Abstract

Background: In vitro and in silico methods have become an essential tool in assessing metabolic drug-drug interactions (DDI) and avoiding reduced efficacy and increased side-effects. Another important type of DDI is the impact of acid-reducing agent (ARA) co-therapy on drug pharmacokinetics due to changes in gastric pH, especially for poorly soluble weakly basic drugs.

Methods: One-stage, two-stage and transfer dissolution experiments with dipyridamole tablets using novel biorelevant media representing the ARA effect were conducted and the results were coupled with a PBPK model. Clinical pharmacokinetic data were compared with the simulations from the PBPK model and with output from TIM-1 experiments, an evolved in vitro system which aims to simulate the physiology in the upper GI tract.

Results: Two-stage and transfer experiments confirmed that these in vitro set-ups tend to overestimate the extent of dipyridamole precipitation occurring in the intestines in vivo. Consequently, data from one-stage dissolution testing under elevated gastric pH conditions were used as an input for PBPK modeling of the ARA/dipyridamole interaction. Using media representing the ARA effect in conjunction with the PBPK model, the ARA effect observed in vivo was successfully bracketed. As an alternative, the TIM-1 system with gastric pH values adjusted to simulate ARA pre-treatment can be used to forecast the ARA effect on dipyridamole pharmacokinetics.

Conclusion: Drug-drug interactions of dipyridamole with ARA were simulated well with a combination of dissolution experiments using biorelevant media representing the gastric environment after an ARA treatment together with the PBPK model. Adjustment of the TIM-1 model to reflect ARA-related changes in gastric pH was also successful in forecasting the interaction. Further testing of both approaches for predicting ARA-related DDIs using a wider range of drugs should be conducted to verify their utility for this purpose.

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Source
http://dx.doi.org/10.1016/j.ejps.2021.105750DOI Listing

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