Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10162284 | Journal of Pharmaceutical Sciences | 2014 | 11 Pages |
Abstract
Development of in vitro-in vivo correlations (IVIVCs) for extendedârelease (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 crossâover study against immediateârelease 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 J Pharm Sci 103:3713-3723, 2014
Keywords
Related Topics
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Pharmacology, Toxicology and Pharmaceutical Science
Drug Discovery
Authors
Filippos Kesisoglou, Stefaan Rossenu, Colm Farrell, Michiel Van Den Heuvel, Marita Prohn, Shaun Fitzpatrick, PieterâJan De Kam, Ryan Vargo,