Literature DB >> 25973928

Application of Physiologically Based Absorption Modeling for Amphetamine Salts Drug Products in Generic Drug Evaluation.

Andrew H Babiskin1, Xinyuan Zhang1.   

Abstract

Amphetamine (AMP) salts-based extended-release (ER) drug products are widely used for the treatment of attention deficit hyperactivity disorder. We developed physiologically based absorption models for mixed AMP salts ER capsules and dextroamphetamine sulfate ER capsules to address specific questions raised during generic drug postmarketing surveillance and bioequivalence (BE) guidance development. The models were verified against several data sets. Virtual BE simulations were conducted to assess BE in various populations other than normal healthy subjects where BE studies are generally conducted for approval. The models were also used to predict pharmacokinetics (PK) for hypothetical formulations having dissolution profiles falling within specification after the development of in vitro-in vivo relation. Finally, we demonstrated how to use the models to test sensitivity of PK metrics to the changes in formulation variables. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  absorption; bioavailability; bioequivalence; clinical trial simulation; modified release; physiological model

Mesh:

Substances:

Year:  2015        PMID: 25973928     DOI: 10.1002/jps.24474

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


  8 in total

1.  Physiologically Based Pharmacokinetic and Absorption Modeling for Osmotic Pump Products.

Authors:  Zhanglin Ni; Arjang Talattof; Jianghong Fan; Eleftheria Tsakalozou; Satish Sharan; Dajun Sun; Hong Wen; Liang Zhao; Xinyuan Zhang
Journal:  AAPS J       Date:  2017-03-29       Impact factor: 4.009

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

3.  A Bayesian population physiologically based pharmacokinetic absorption modeling approach to support generic drug development: application to bupropion hydrochloride oral dosage forms.

Authors:  Nan-Hung Hsieh; Frédéric Y Bois; Eleftheria Tsakalozou; Zhanglin Ni; Miyoung Yoon; Wanjie Sun; Martin Klein; Brad Reisfeld; Weihsueh A Chiu
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-09-22       Impact factor: 2.410

Review 4.  In Silico Modeling and Simulation to Guide Bioequivalence Testing for Oral Drugs in a Virtual Population.

Authors:  Fan Zhang; Ranran Jia; Huitao Gao; Xiaofei Wu; Bo Liu; Hongyun Wang
Journal:  Clin Pharmacokinet       Date:  2021-06-30       Impact factor: 5.577

5.  Application of Physiologically Based Absorption Modeling to Characterize the Pharmacokinetic Profiles of Oral Extended Release Methylphenidate Products in Adults.

Authors:  Xiaoxia Yang; John Duan; Jeffrey Fisher
Journal:  PLoS One       Date:  2016-10-10       Impact factor: 3.240

6.  Integrating In Vitro, Modeling, and In Vivo Approaches to Investigate Warfarin Bioequivalence.

Authors:  X Zhang; H Wen; J Fan; B Vince; T Li; W Gao; M Kinjo; J Brown; W Sun; W Jiang; R Lionberger
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-07-13

7.  Design and evaluation of an extended-release matrix tablet formulation; the combination of hypromellose acetate succinate and hydroxypropylcellulose.

Authors:  Sachiko Fukui; Hideki Yano; Shuichi Yada; Tsuyoshi Mikkaichi; Hidemi Minami
Journal:  Asian J Pharm Sci       Date:  2016-11-18       Impact factor: 6.598

Review 8.  Current trends in drug metabolism and pharmacokinetics.

Authors:  Yuhua Li; Qiang Meng; Mengbi Yang; Dongyang Liu; Xiangyu Hou; Lan Tang; Xin Wang; Yuanfeng Lyu; Xiaoyan Chen; Kexin Liu; Ai-Ming Yu; Zhong Zuo; Huichang Bi
Journal:  Acta Pharm Sin B       Date:  2019-10-18       Impact factor: 11.413

  8 in total

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