Literature DB >> 30543888

Novel extended in vitro-in vivo correlation model for the development of extended-release formulations for baclofen: From formulation composition to in vivo pharmacokinetics.

Tae Hwan Kim1, Jürgen B Bulitta2, Do-Hyung Kim3, Soyoung Shin4, Beom Soo Shin5.   

Abstract

In vitro-in vivo correlation (IVIVC), a predictive mathematical model between the in vitro dissolution and the in vivo pharmacokinetics has been utilized for the development of new extended release (ER) formulations. The aim of the present study was to extend the IVIVC approach, which correlates among the formulation composition, the in vitro dissolution, and the plasma drug concentration, to predict plasma drug concentrations from a given composition of the formulation, and vice versa, using baclofen as a model drug. Baclofen ER tablets with different dissolution rates were prepared by varying the composition of hydroxypropyl methylcellulose (HPMC). First, the HPMC compositions and the corresponding in vitro dissolutions parameters were correlated, and then the in vitro dissolution parameters were correlated with the in vivo dissolution parameters extracted from the pharmacokinetic profiles of the baclofen ER formulations via population pharmacokinetic modeling. The final extended IVIVC model linked the composition of the formulation, the in vitro dissolution, and the in vivo plasma concentration profile and was successfully applied for the prediction of in vivo pharmacokinetics from the amount of HPMC in baclofen ER formulations. The present approach holds great promise for designing optimal compositions of ER formulations to present desired plasma concentration profile.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Baclofen; Extended-release formulation; Hydroxypropyl methylcellulose; In vitro-in vivo correlation; Population pharmacokinetic model

Mesh:

Substances:

Year:  2018        PMID: 30543888     DOI: 10.1016/j.ijpharm.2018.12.007

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  5 in total

1.  Development of a Population Pharmacokinetics-Based in vitro-in vivo Correlation Model for Drugs with Site-Dependent Absorption: the Acyclovir Case Study.

Authors:  Soyoung Shin; Tae Hwan Kim; Da Young Lee; Seung Eun Chung; Jong Bong Lee; Do-Hyung Kim; Beom Soo Shin
Journal:  AAPS J       Date:  2020-01-14       Impact factor: 4.009

2.  Development of a Two-Compartment System In vitro Dissolution Test and Correlation with In vivo Pharmacokinetic Studies for Celecoxib.

Authors:  Shan Jiang; Guoqing Zhang; Lei Wang; Ye Zeng; Wenjie Liu; Zeneng Cheng
Journal:  AAPS PharmSciTech       Date:  2020-01-07       Impact factor: 3.246

3.  Alleviating the Influence of Circadian Rhythms and Drug Properties to the Release of Paliperidone Gel Matrix Tablets with Compression Coating Technology and Microenvironment Shaping.

Authors:  Zherui Zhang; Shumin Chen; Man Wen; Haibing He; Yu Zhang; Tian Yin; Jingxin Gou; Xing Tang
Journal:  AAPS PharmSciTech       Date:  2022-08-16       Impact factor: 4.026

4.  Establishment of Level a In Vitro-In Vivo Correlation (IVIVC) via Extended DoE-IVIVC Model: A Donepezil Case Study.

Authors:  Da Young Lee; Soyoung Shin; Tae Hwan Kim; Beom Soo Shin
Journal:  Pharmaceutics       Date:  2022-06-09       Impact factor: 6.525

5.  3D-Printed Gastroretentive Sustained Release Drug Delivery System by Applying Design of Experiment Approach.

Authors:  Hyeon Myeong Jeong; Kwon-Yeon Weon; Beom Soo Shin; Soyoung Shin
Journal:  Molecules       Date:  2020-05-16       Impact factor: 4.411

  5 in total

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