Literature DB >> 25641187

Utilizing physiologically based pharmacokinetic modeling to inform formulation and clinical development for a compound with pH-dependent solubility.

John Chung1, Fernando Alvarez-Nunez, Vincent Chow, Dominick Daurio, John Davis, Michael Dodds, Maurice Emery, Kevin Litwiler, Anne Paccaly, Joanna Peng, Brooke Rock, Larry Wienkers, Charles Yang, Zhigang Yu, Jan Wahlstrom.   

Abstract

ARRY-403 is a glucokinase activator developed for the treatment of diabetes. Less than dose-proportional exposure was observed during single ascending dose studies with ARRY-403. A physiologically based pharmacokinetic (PBPK) model for ARRY-403 was developed through integration of in vitro physicochemical data with precipitation time estimations based on results from the single ascending dose studies; PBPK modeling indicated that the primary cause of the less than dose-proportional exposure was dose-limited absorption because of pH-dependent solubility. The impact of dose, particle size, and fasted or fed state on ARRY-403 exposure was examined through sensitivity analyses and used to refine the PBPK model. On the basis of the marked pH-dependent solubility of ARRY-403, the refined PBPK model was used to simulate the effects of acid-reducing agents (ARAs) on ARRY-403 exposure, as these agents are widely available and could be coadministered with ARRY-403. The simulations indicated that a clinical study with an ARA was warranted; in a clinical study, famotidine had a marked effect on ARRY-403 exposure. This approach, based on the "predict, learn, and confirm" paradigm, demonstrates the utility of integrating physicochemical properties, in vitro experiments, and clinical results using PBPK to inform formulation development and to guide clinical study design.
© 2015 Wiley Periodicals, Inc. and the American Pharmacists Association.

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Keywords:  ADME; absorption; disposition; pharmacokinetics; physiological model

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Year:  2015        PMID: 25641187     DOI: 10.1002/jps.24339

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  5 in total

1.  Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations.

Authors:  Hyeon-Cheol Jeong; Min-Gul Kim; Zhuodu Wei; Kyeong-Ryoon Lee; Jaehyeok Lee; Im-Sook Song; Kwang-Hee Shin
Journal:  Pharmaceutics       Date:  2022-06-18       Impact factor: 6.525

Review 2.  Predicting Oral Drug Absorption: Mini Review on Physiologically-Based Pharmacokinetic Models.

Authors:  Louis Lin; Harvey Wong
Journal:  Pharmaceutics       Date:  2017-09-26       Impact factor: 6.321

Review 3.  Predictive Performance of Physiologically Based Pharmacokinetic Models for the Effect of Food on Oral Drug Absorption: Current Status.

Authors:  Mengyao Li; Ping Zhao; Yuzhuo Pan; Christian Wagner
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-11-23

4.  Application of Physiologically-Based Pharmacokinetic Modeling to Predict Gastric pH-Dependent Drug-Drug Interactions for Weak Base Drugs.

Authors:  Zhongqi Dong; Jia Li; Fang Wu; Ping Zhao; Sue-Chih Lee; Lillian Zhang; Paul Seo; Lei Zhang
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-07-31

Review 5.  Glucokinase as an emerging anti-diabetes target and recent progress in the development of its agonists.

Authors:  Yixin Ren; Li Li; Li Wan; Yan Huang; Shuang Cao
Journal:  J Enzyme Inhib Med Chem       Date:  2022-12       Impact factor: 5.051

  5 in total

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