Literature DB >> 20214657

Use of In Vitro-In Vivo Correlation (IVIVC) to facilitate the development of polymer-based controlled release injectable formulation.

Amitava Mitra1, Yunhui Wu.   

Abstract

In Vitro-In Vivo Correlation (IVIVC) is being increasingly used to predict bioperformance of dosage forms without conducting animal and/or human studies which are not only time-consuming and expensive but also might be considered ethically undesirable. The main aim of IVIVC methods is to develop in vitro drug release methods which are simple, robust, reproducible, inexpensive, in compliance with compendial and regulatory requirements and finally can be used in lieu of in vivo studies to direct formulation selection. This review provides a summary of currently marketed polymeric depot products and the patents related to these drug delivery systems in addition to currently available in vitro release methods used to study drug release from injectable controlled release drug delivery systems, currently available IVIVC methods and some examples of successful IVIVC for small molecules, peptides and proteins formulated in controlled release formulations administered subcutaneously or intramuscularly.

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Year:  2010        PMID: 20214657     DOI: 10.2174/187221110791185024

Source DB:  PubMed          Journal:  Recent Pat Drug Deliv Formul        ISSN: 1872-2113


  3 in total

1.  Microengineering methods for cell-based microarrays and high-throughput drug-screening applications.

Authors:  Feng Xu; JinHui Wu; ShuQi Wang; Naside Gozde Durmus; Umut Atakan Gurkan; Utkan Demirci
Journal:  Biofabrication       Date:  2011-07-01       Impact factor: 9.954

2.  Development of novel risperidone implants using blends of polycaprolactones and in vitro in vivo correlation studies.

Authors:  Aerrolla Navitha; Satheesh Jogala; Chinnala Krishnamohan; Jithan Aukunuru
Journal:  J Adv Pharm Technol Res       Date:  2014-04

3.  Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks.

Authors:  Aleksander Mendyk; Paweł K Tuszyński; Sebastian Polak; Renata Jachowicz
Journal:  Drug Des Devel Ther       Date:  2013-03-27       Impact factor: 4.162

  3 in total

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