Literature DB >> 25978875

In vitro dissolution methodology, mini-Gastrointestinal Simulator (mGIS), predicts better in vivo dissolution of a weak base drug, dasatinib.

Yasuhiro Tsume1, Susumu Takeuchi2, Kazuki Matsui3, Gregory E Amidon1, Gordon L Amidon4.   

Abstract

USP apparatus I and II are gold standard methodologies for determining the in vitro dissolution profiles of test drugs. However, it is difficult to use in vitro dissolution results to predict in vivo dissolution, particularly the pH-dependent solubility of weak acid and base drugs, because the USP apparatus contains one vessel with a fixed pH for the test drug, limiting insight into in vivo drug dissolution of weak acid and weak base drugs. This discrepancy underscores the need to develop new in vitro dissolution methodology that better predicts in vivo response to assure the therapeutic efficacy and safety of oral drug products. Thus, the development of the in vivo predictive dissolution (IPD) methodology is necessitated. The major goals of in vitro dissolution are to ensure the performance of oral drug products and the support of drug formulation design, including bioequivalence (BE). Orally administered anticancer drugs, such as dasatinib and erlotinib (tyrosine kinase inhibitors), are used to treat various types of cancer. These drugs are weak bases that exhibit pH-dependent and high solubility in the acidic stomach and low solubility in the small intestine (>pH 6.0). Therefore, these drugs supersaturate and/or precipitate when they move from the stomach to the small intestine. Also of importance, gastric acidity for cancer patients may be altered with aging (reduction of gastric fluid secretion) and/or co-administration of acid-reducing agents. These may result in changes to the dissolution profiles of weak base and the reduction of drug absorption and efficacy. In vitro dissolution methodologies that assess the impact of these physiological changes in the GI condition are expected to better predict in vivo dissolution of oral medications for patients and, hence, better assess efficacy, toxicity and safety concerns. The objective of this present study is to determine the initial conditions for a mini-Gastrointestinal Simulator (mGIS) to assess in vivo dissolution of BCS class IIb drugs, dasatinib as a model drug, including the different gastric condition. The maximum dissolution of dasatinib with USP dissolution apparatus II was less than 1% in pH 6.5 SIF, while the one with mGIS (pH 1.2 SGF/pH 6.5 SIF) reached almost 100%. The supersaturation and precipitation of dasatinib were observed in the in vitro dissolution studies with mGIS but not with USP apparatus II. Additionally, dasatinib dissolution with mGIS was reduced to less than 10% when the gastric pH was elevated, suggesting the co-administration of acid reducing agents will decrease the oral bioavailability of dasatinib. Accurate prediction of in vivo drug dissolution would be beneficial for assuring product safety and efficacy for patients. To this end, we have created a new in vitro dissolution system, mGIS, to predict the in vivo dissolution phenomena of a weak base drug, dasatinib. The experimental results when combined with in silico simulation suggest that the mGIS predicted the in vivo dissolution well due to the elevation of gastric pH. Thus, mGIS might be suitable to predict in vivo dissolution of weak basic drugs. This mGIS methodology is expected to significantly advance the prediction of in vivo drug dissolution. It is also expected to assist in optimizing product development and drug formulation design in support of Quality by Design (QbD) initiatives.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dissolution; Drug–drug interactions; GIS; GastroPlus; In vivo predictive dissolution methodology

Mesh:

Substances:

Year:  2015        PMID: 25978875     DOI: 10.1016/j.ejps.2015.05.013

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  10 in total

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Review 2.  Physiologically Based Pharmacokinetics Modeling in Biopharmaceutics: Case Studies for Establishing the Bioequivalence Safe Space for Innovator and Generic Drugs.

Authors:  Di Wu; Maitri Sanghavi; Sivacharan Kollipara; Tausif Ahmed; Anuj K Saini; Tycho Heimbach
Journal:  Pharm Res       Date:  2022-07-15       Impact factor: 4.580

Review 3.  Current State and Challenges of Physiologically Based Biopharmaceutics Modeling (PBBM) in Oral Drug Product Development.

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Journal:  Pharm Res       Date:  2022-09-08       Impact factor: 4.580

Review 4.  Formulation predictive dissolution (fPD) testing to advance oral drug product development: An introduction to the US FDA funded '21st Century BA/BE' project.

Authors:  Bart Hens; Patrick D Sinko; Nicholas Job; Meagan Dean; Jozef Al-Gousous; Niloufar Salehi; Robert M Ziff; Yasuhiro Tsume; Marival Bermejo; Paulo Paixão; James G Brasseur; Alex Yu; Arjang Talattof; Gail Benninghoff; Peter Langguth; Hans Lennernäs; William L Hasler; Luca Marciani; Joseph Dickens; Kerby Shedden; Duxin Sun; Gregory E Amidon; Gordon L Amidon
Journal:  Int J Pharm       Date:  2018-06-23       Impact factor: 5.875

5.  In Vivo Predictive Dissolution and Simulation Workshop Report: Facilitating the Development of Oral Drug Formulation and the Prediction of Oral Bioperformance.

Authors:  Yasuhiro Tsume; Sanjaykumar Patel; Nikoletta Fotaki; Christel Bergstrӧm; Gordon L Amidon; James G Brasseur; Deanna M Mudie; Duxin Sun; Marival Bermejo; Ping Gao; Wei Zhu; David C Sperry; Maria Vertzoni; Neil Parrott; Robert Lionberger; Atsushi Kambayashi; Andre Hermans; Xujin Lu; Gregory E Amidon
Journal:  AAPS J       Date:  2018-09-06       Impact factor: 4.009

Review 6.  Biorelevant test for supersaturable formulation.

Authors:  Enxian Lu; Shoufeng Li; Zhongqin Wang
Journal:  Asian J Pharm Sci       Date:  2016-12-08       Impact factor: 6.598

7.  Selection of In Vivo Predictive Dissolution Media Using Drug Substance and Physiological Properties.

Authors:  Deanna M Mudie; Nasim Samiei; Derrick J Marshall; Gregory E Amidon; Christel A S Bergström
Journal:  AAPS J       Date:  2020-01-27       Impact factor: 4.009

Review 8.  Therapeutic Drug Monitoring and Individualized Medicine of Dasatinib: Focus on Clinical Pharmacokinetics and Pharmacodynamics.

Authors:  Shiyu He; Jialu Bian; Qianhang Shao; Ying Zhang; Xu Hao; Xingxian Luo; Yufei Feng; Lin Huang
Journal:  Front Pharmacol       Date:  2021-12-06       Impact factor: 5.810

9.  Dasatinib Nanoemulsion and Nanocrystal for Enhanced Oral Drug Delivery.

Authors:  Chuanqi Wang; Manting Wang; Peng Chen; Jiexin Wang; Yuan Le
Journal:  Pharmaceutics       Date:  2022-01-15       Impact factor: 6.321

10.  Linking the Gastrointestinal Behavior of Ibuprofen with the Systemic Exposure between and within Humans-Part 1: Fasted State Conditions.

Authors:  Marival Bermejo; Paulo Paixão; Bart Hens; Yasuhiro Tsume; Mark J Koenigsknecht; Jason R Baker; William L Hasler; Robert Lionberger; Jianghong Fan; Joseph Dickens; Kerby Shedden; Bo Wen; Jeffrey Wysocki; Raimar Löbenberg; Allen Lee; Ann Frances; Gregory E Amidon; Alex Yu; Niloufar Salehi; Arjang Talattof; Gail Benninghoff; Duxin Sun; Gislaine Kuminek; Katie L Cavanagh; Naír Rodríguez-Hornedo; Gordon L Amidon
Journal:  Mol Pharm       Date:  2018-11-12       Impact factor: 4.939

  10 in total

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