Literature DB >> 30905705

Prediction Accuracy of Mechanism-Based Oral Absorption Model for Dogs.

Yoshiyuki Akiyama1, Takahiro Kimoto2, Hanae Mukumoto2, Shuji Miyake2, Soichiro Ito3, Toshio Taniguchi3, Yukihiro Nomura3, Naoya Matsumura4, Takuya Fujita5, Kiyohiko Sugano6.   

Abstract

The purpose of the present study was to evaluate the prediction accuracy of a mechanism-based oral absorption model for the fraction of a dose absorbed (Fa) in dogs, focusing on poorly soluble drugs. As an open mechanism-based model, the gastrointestinal unified theoretical framework was used in this study. The prediction accuracy of the gastrointestinal unified theoretical framework was evaluated using Fa data in dogs (63 data sets for marketed drugs and proprietary compounds). For neutral compounds, Fa was accurately predicted, suggesting that the physiological parameters of dogs were appropriate except for gastrointestinal pH. An extensive literature survey on the small intestinal pH of dogs was then conducted. The result suggested that the pH value ranged between 6.5 and 7.5, with the midst value of 7.0, but there was a great variation among the literature. To confirm the appropriateness of this pH value, the Fa of free acid compounds was predicted by setting the small intestinal pH to 6.5, 7.0, and 7.5. The proportions of compounds with <2-fold error were 57%, 90%, and 76%, respectively. The results of the present study would enable an appropriate use of a mechanism-based model for drug discovery and development.
Copyright © 2019 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  intestinal absorption; mechanistic modeling; oral absorption; pH; physicochemical properties

Year:  2019        PMID: 30905705     DOI: 10.1016/j.xphs.2019.03.015

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


  5 in total

Review 1.  Comparison of Canine and Human Physiological Factors: Understanding Interspecies Differences that Impact Drug Pharmacokinetics.

Authors:  Marilyn N Martinez; Jonathan P Mochel; Sibylle Neuhoff; Devendra Pade
Journal:  AAPS J       Date:  2021-04-27       Impact factor: 4.009

2.  Prediction of Oral Drug Absorption in Rats from In Vitro Data.

Authors:  Yoshiyuki Akiyama; Naoya Matsumura; Asami Ono; Shun Hayashi; Satoko Funaki; Naomi Tamura; Takahiro Kimoto; Maiko Jiko; Yuka Haruna; Akiko Sarashina; Masahiro Ishida; Kotaro Nishiyama; Masahiro Fushimi; Yukiko Kojima; Takuya Fujita; Kiyohiko Sugano
Journal:  Pharm Res       Date:  2022-02-15       Impact factor: 4.200

3.  Physiologically Based Biopharmaceutics Modeling of Regional and Colon Absorption in Dogs.

Authors:  Emma Eckernäs; Christer Tannergren
Journal:  Mol Pharm       Date:  2021-03-15       Impact factor: 4.939

4.  Harmonizing solubility measurement to lower inter-laboratory variance - progress of consortium of biopharmaceutical tools (CoBiTo) in Japan.

Authors:  Asami Ono; Naoya Matsumura; Takahiro Kimoto; Yoshiyuki Akiyama; Satoko Funaki; Naomi Tamura; Shun Hayashi; Yukiko Kojima; Masahiro Fushimi; Hiroshi Sudaki; Risa Aihara; Yuka Haruna; Maiko Jiko; Masaru Iwasaki; Takuya Fujita; Kiyohiko Sugano
Journal:  ADMET DMPK       Date:  2019-08-05

5.  Lost in modelling and simulation?

Authors:  Kiyohiko Sugano
Journal:  ADMET DMPK       Date:  2021-03-22
  5 in total

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