Literature DB >> 22528506

A technique to estimate in vivo dissolution profiles without data from a solution.

Jack A Cook1.   

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.

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Year:  2012        PMID: 22528506      PMCID: PMC3385817          DOI: 10.1208/s12248-012-9355-4

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  8 in total

1.  Caco-2 versus Caco-2/HT29-MTX co-cultured cell lines: permeabilities via diffusion, inside- and outside-directed carrier-mediated transport.

Authors:  C Hilgendorf; H Spahn-Langguth; C G Regårdh; E Lipka; G L Amidon; P Langguth
Journal:  J Pharm Sci       Date:  2000-01       Impact factor: 3.534

2.  Comparison of human duodenum and Caco-2 gene expression profiles for 12,000 gene sequences tags and correlation with permeability of 26 drugs.

Authors:  Duxin Sun; Hans Lennernas; Lynda S Welage; Jeffery L Barnett; Christopher P Landowski; David Foster; David Fleisher; Kyung-Dall Lee; Gordon L Amidon
Journal:  Pharm Res       Date:  2002-10       Impact factor: 4.200

3.  Pharmaceutical quality by design: product and process development, understanding, and control.

Authors:  Lawrence X Yu
Journal:  Pharm Res       Date:  2008-01-10       Impact factor: 4.200

Review 4.  Clinical relevance of dissolution testing in quality by design.

Authors:  Paul A Dickinson; Wang Wang Lee; Paul W Stott; Andy I Townsend; John P Smart; Parviz Ghahramani; Tracey Hammett; Linda Billett; Sheena Behn; Ryan C Gibb; Bertil Abrahamsson
Journal:  AAPS J       Date:  2008-08-07       Impact factor: 4.009

5.  Simulation of human intravenous and oral pharmacokinetics of 21 diverse compounds using physiologically based pharmacokinetic modelling.

Authors:  Hannah M Jones; Iain B Gardner; Wendy T Collard; Phil J Stanley; Penny Oxley; Natilie A Hosea; David Plowchalk; Steve Gernhardt; Jing Lin; Maurice Dickins; S Ravi Rahavendran; Barry C Jones; Kenny J Watson; Henry Pertinez; Vikas Kumar; Susan Cole
Journal:  Clin Pharmacokinet       Date:  2011-05       Impact factor: 6.447

6.  Development and internal validation of an in vitro-in vivo correlation for a hydrophilic metoprolol tartrate extended release tablet formulation.

Authors:  N D Eddington; P Marroum; R Uppoor; A Hussain; L Augsburger
Journal:  Pharm Res       Date:  1998-03       Impact factor: 4.200

7.  The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.

Authors:  R S Obach; J G Baxter; T E Liston; B M Silber; B C Jones; F MacIntyre; D J Rance; P Wastall
Journal:  J Pharmacol Exp Ther       Date:  1997-10       Impact factor: 4.030

8.  A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability.

Authors:  G L Amidon; H Lennernäs; V P Shah; J R Crison
Journal:  Pharm Res       Date:  1995-03       Impact factor: 4.200

  8 in total
  1 in total

1.  An In Vitro-In Vivo Simulation Approach for the Prediction of Bioequivalence.

Authors:  Marilena Vlachou; Vangelis Karalis
Journal:  Materials (Basel)       Date:  2021-01-24       Impact factor: 3.623

  1 in total

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