A Technique to Estimate In Vivo Dissolution Profiles Without Data from a Solution

Journal Title: The AAPS Journal - Year 2012, Vol 14, Issue 3

Abstract

Dissolution tests are expected to ensure adequate in vivo product performance. Given the recent progress in the ability to predict of human permeability, it is possible to synthesize the plasma drug concentration–time profile from human permeability predictions and the results of the first-in-human trial and use these data to synthesize a pharmacokinetic profile for a solution and provide an initial estimate of the in vivo dissolution profile. This manuscript provides details of such a deconvolution methodology in order to provide an initial estimate of in vivo dissolution. Plasma metoprolol concentration–time data from a previously published study examining the pharmacokinetics of three metoprolol formulations (100 mg), slow, moderate, and fast releasing, and an oral solution (50 mg) were used to estimate in vitro dissolution profiles. A one-compartment unit impulse function was used, and the absorption rate was estimated from animal permeability data (synthetic solution method). The results were compared to those obtained using a unit impulse function estimated from the oral solution data. In vivo dissolution profiles estimated from animal permeability data were similar to those estimated from the oral solution data. Ratios of absorption rate constants (synthetic solution method/oral solution) ranged from 1 to 1.3. The synthetic solution method offers a way to estimate in vivo dissolution profile through deconvolution. It is applicable in cases where it is not possible or feasible to obtain data from a solution. It performs best in cases where dissolution is the rate-limiting step in the absorption process.

Authors and Affiliations

Jack A. Cook

Keywords

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  • EP ID EP681231
  • DOI  10.1208/s12248-012-9355-4
  • Views 56
  • Downloads 0

How To Cite

Jack A. Cook (2012). A Technique to Estimate In Vivo Dissolution Profiles Without Data from a Solution. The AAPS Journal, 14(3), -. https://europub.co.uk/articles/-A-681231