Literature DB >> 25256703

Development of in vitro-in vivo correlation for extended-release niacin after administration of hypromellose-based matrix formulations to healthy volunteers.

Filippos Kesisoglou1, Stefaan Rossenu2, Colm Farrell3, Michiel Van Den Heuvel2, Marita Prohn2, Shaun Fitzpatrick4, Pieter-Jan De Kam5, Ryan Vargo6.   

Abstract

Development of in vitro-in vivo correlations (IVIVCs) for extended-release (ER) products is commonly pursued during pharmaceutical development to increase product understanding, set release specifications, and support biowaivers. This manuscript details the development of Level C and Level A IVIVCs for ER formulations of niacin, a highly variable and extensively metabolized compound. Three ER formulations were screened in a cross-over study against immediate-release niacin. A Multiple Level C IVIVC was established for both niacin and its primary metabolite nicotinuric acid (NUA) as well as total niacin metabolites urinary excretion. For NUA, but not for niacin, Level A IVIVC models with acceptable prediction errors were achievable via a modified IVIVC rather than a traditional deconvolution/convolution approach. Hence, this is in contradiction with current regulatory guidelines that suggest that when a Multiple Level C IVIVC is established, Level A models should also be readily achievable. We demonstrate that for a highly variable, highly metabolized compound such as niacin, development of a Level A IVIVC model fully validated according to agency guidelines may be challenging. However, Multiple Level C models are achievable and could be used to guide release specifications and formulation/manufacturing changes.
© 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

Entities:  

Keywords:  controlled release; dissolution; in vitro/in vivo correlations (IVIVC); mathematical model; pharmacokinetics

Mesh:

Substances:

Year:  2014        PMID: 25256703     DOI: 10.1002/jps.24179

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


  6 in total

1.  Characterising Drug Release from Immediate-Release Formulations of a Poorly Soluble Compound, Basmisanil, Through Absorption Modelling and Dissolution Testing.

Authors:  Cordula Stillhart; Neil J Parrott; Marc Lindenberg; Pascal Chalus; Darren Bentley; Anikó Szepes
Journal:  AAPS J       Date:  2017-02-24       Impact factor: 4.009

2.  Nicotinic acid timed to feeding reverses tissue lipid accumulation and improves glucose control in obese Zucker rats[S].

Authors:  Tobias Kroon; Tania Baccega; Arne Olsén; Johan Gabrielsson; Nicholas D Oakes
Journal:  J Lipid Res       Date:  2016-11-15       Impact factor: 5.922

3.  Applications of Clinically Relevant Dissolution Testing: Workshop Summary Report.

Authors:  Sandra Suarez-Sharp; Michael Cohen; Filippos Kesisoglou; Andreas Abend; Patrick Marroum; Poonam Delvadia; Evangelos Kotzagiorgis; Min Li; Anna Nordmark; Nagesh Bandi; Erik Sjögren; Andrew Babiskin; Tycho Heimbach; Shinichi Kijima; Haritha Mandula; Kimberly Raines; Paul Seo; Xinyuan Zhang
Journal:  AAPS J       Date:  2018-08-27       Impact factor: 4.009

4.  Dosing profile profoundly influences nicotinic acid's ability to improve metabolic control in rats.

Authors:  Tobias Kroon; Ann Kjellstedt; Pia Thalén; Johan Gabrielsson; Nicholas D Oakes
Journal:  J Lipid Res       Date:  2015-07-13       Impact factor: 5.922

Review 5.  Leveraging model-informed approaches for drug discovery and development in the cardiovascular space.

Authors:  Marissa F Dockendorf; Ryan C Vargo; Ferdous Gheyas; Anne S Y Chain; Manash S Chatterjee; Larissa A Wenning
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-01-20       Impact factor: 2.745

6.  Biorelevant In Vitro Release Testing and In Vivo Study of Extended-Release Niacin Hydrophilic Matrix Tablets.

Authors:  Bartłomiej Milanowski; Arkadiusz Hejduk; Marek A Bawiec; Emilia Jakubowska; Agnieszka Urbańska; Anna Wiśniewska; Grzegorz Garbacz; Janina Lulek
Journal:  AAPS PharmSciTech       Date:  2020-01-27       Impact factor: 3.246

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.