Literature DB >> 24676770

In vitro- in vivo correlation's dissolution limits setting.

B Roudier1, B M Davit, E Beyssac, J-M Cardot.   

Abstract

PURPOSE: In vitro in vivo correlation (IVIVC) is a biopharmaceutical tool recommended for use in formulation development. When validated, IVIVC can be used to set dissolution limits and, based on the dissolution limits, as a surrogate for an in vivo study. The purpose of this paper is to study the various methods used to fix dissolution limits.
METHODS: Fixing dissolution limits is not a straightforward process; various approaches exist. The classical ±10% of dissolution limits was compared to the recommended ±10% of Cmax and AUC and to an innovative back calculation of the 90% CI. Based on simulated values the influence of the calculation method as well as of the variability of the results and pharmacokinetic processes was investigated.
RESULTS: Depending upon the method, the results are different and their comparison leads to possible rules. It appears that the usage of a back calculation of a 90% CI is an accurate and advantageous method when intra-individual variability associated with the drug is low. Those findings are in accordance with the current practice of IVIVC, which is not recommended for highly variable drugs.
CONCLUSIONS: The approach of using a 90% CI allows the intra-subject variability to be taken into account and fixes limits that ensure a greater chance to show acceptable BE, in case of reasonable intra-subject variability, leading to setting broader in vitro dissolution limits compared to classical solutions.

Mesh:

Year:  2014        PMID: 24676770     DOI: 10.1007/s11095-014-1349-8

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  20 in total

1.  Interpretation and optimization of the dissolution specifications for a modified release product with an in vivo-in vitro correlation (IVIVC).

Authors:  Siobhán Hayes; Adrian Dunne; Trevor Smart; John Davis
Journal:  J Pharm Sci       Date:  2004-03       Impact factor: 3.534

2.  In vitro-in vivo correlations: tricks and traps.

Authors:  J-M Cardot; B M Davit
Journal:  AAPS J       Date:  2012-05-01       Impact factor: 4.009

3.  Level A in vitro-in vivo correlation (IVIVC) model with Bayesian approach to formulation series.

Authors:  H Kortejärvi; J Malkki; M Marvola; A Urtti; M Yliperttula; P Pajunen
Journal:  J Pharm Sci       Date:  2006-07       Impact factor: 3.534

4.  In vitro - in vivo correlation: from theory to applications.

Authors:  Jaber Emami
Journal:  J Pharm Pharm Sci       Date:  2006       Impact factor: 2.327

5.  A comparison of the prediction accuracy of two IVIVC modelling techniques.

Authors:  Clare Gaynor; Adrian Dunne; John Davis
Journal:  J Pharm Sci       Date:  2008-08       Impact factor: 3.534

6.  Dynamic dissolution testing to establish in vitro/in vivo correlations for montelukast sodium, a poorly soluble drug.

Authors:  Arthur Okumu; Marie DiMaso; Raimar Löbenberg
Journal:  Pharm Res       Date:  2008-06-17       Impact factor: 4.200

7.  Artificial neural networks applied to the in vitro-in vivo correlation of an extended-release formulation: initial trials and experience.

Authors:  J A Dowell; A Hussain; J Devane; D Young
Journal:  J Pharm Sci       Date:  1999-01       Impact factor: 3.534

8.  Impact of IVIVR on product development.

Authors:  J Devane
Journal:  Adv Exp Med Biol       Date:  1997       Impact factor: 2.622

9.  Use of nonlinear mixed effects modelling in the development of in vitro-in vivo correlations.

Authors:  S Bigora; D Piscitelli; J Dowell; J Butler; C Farrell; J Devane; D Young
Journal:  Adv Exp Med Biol       Date:  1997       Impact factor: 2.622

Review 10.  Perspectives of in vitro dissolution tests in establishing in vivo/in vitro correlations.

Authors:  M Siewert
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1993 Jan-Mar       Impact factor: 2.441

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  4 in total

Review 1.  In vitro-in vivo correlation for complex non-oral drug products: Where do we stand?

Authors:  Jie Shen; Diane J Burgess
Journal:  J Control Release       Date:  2015-09-28       Impact factor: 9.776

2.  Applications of In Vitro-In Vivo Correlations in Generic Drug Development: Case Studies.

Authors:  Paramjeet Kaur; Xiaojian Jiang; John Duan; Ethan Stier
Journal:  AAPS J       Date:  2015-04-22       Impact factor: 4.009

3.  In vitro-in vivo correlation of parenteral risperidone polymeric microspheres.

Authors:  Jie Shen; Stephanie Choi; Wen Qu; Yan Wang; Diane J Burgess
Journal:  J Control Release       Date:  2015-09-28       Impact factor: 9.776

4.  Brain targeting stealth lipomers of combined antiepileptic-anti-inflammatory drugs as alternative therapy for conventional anti-Parkinson's.

Authors:  Iman M Higazy
Journal:  Saudi Pharm J       Date:  2019-11-13       Impact factor: 4.330

  4 in total

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