Literature DB >> 10980510

Evaluation of "external" predictability of an in vitro-in vivo correlation for an extended-release formulation containing metoprolol tartrate.

H Mahayni1, G S Rekhi, R S Uppoor, P Marroum, A S Hussain, L L Augsburger, N D Eddington.   

Abstract

The purpose of this study was to examine the external predictability of an in vitro-in vivo correlation (IVIVC) for a metoprolol hydrophilic matrix extended-release formulation, with an acceptable internal predictability, in the presence of a range of formulation/manufacturing changes. In addition, this report evaluated the predictability of the IVIVC for another formulation of metoprolol tartrate differing in its release mechanism. Study 1 examined the scale up of a matrix extended-release tablet from a 3-kg small batch (I) to a 50-kg large batch (II). The second study examined the influence of scale and processing changes [3-kg small batch with fluid bed granulation and drying (III); 80-kg large batch with high shear granulation and microwave drying (IV), and a formulation with an alternate release mechanism formulated as a multiparticulate capsule (V)]. In vitro dissolution of all formulations (I-V) was conducted with a USP apparatus I at pH 6.8 and 150 rpm. Subjects received the metoprolol formulations, and serial blood samples were collected over 48 h and analyzed by a validated HPLC assay using fluorescence detection. A previously developed IVIVC was used to predict plasma profiles. Prediction errors (PE) were <10% for C(max) and area under the curve (AUC) of concentration versus time for I, II, and IV. The C(max) for III was slightly underestimated (11.7%); however, the PE of the AUC was <10%. Formulation V displayed a PE for C(max) > 20% and an AUC within 5% of observed values. The low PEs for C(max) and AUC observed for I-IV strongly suggest that the metoprolol IVIVC is externally valid, predictive of alternate processing methods (IV), scale-up (II, III), and allows the in vitro dissolution data to be used as a surrogate for validation studies. However, the lack of predictability for V supports the contention that IVIVCs are formulation specific. Copyright 2000 Wiley-Liss, Inc. and the American Pharmaceutical Association J Pharm Sci 89: 1354-1361, 2000

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Year:  2000        PMID: 10980510     DOI: 10.1002/1520-6017(200010)89:10<1354::aid-jps13>3.0.co;2-p

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


  6 in total

1.  Use of in vitro-in vivo correlation to predict the pharmacokinetics of several products containing a BCS class 1 drug in extended release matrices.

Authors:  Tahseen Mirza; Srikant A Bykadi; Christopher D Ellison; Yongsheng Yang; Barbara M Davit; Mansoor A Khan
Journal:  Pharm Res       Date:  2012-08-22       Impact factor: 4.200

2.  Examining the Use of a Mechanistic Model to Generate an In Vivo/In Vitro Correlation: Journey Through a Thought Process.

Authors:  Bipin Mistry; Nikunjkumar Patel; Masoud Jamei; Amin Rostami-Hodjegan; Marilyn N Martinez
Journal:  AAPS J       Date:  2016-06-16       Impact factor: 4.009

3.  Evaluating In Vivo-In Vitro Correlation Using a Bayesian Approach.

Authors:  Junshan Qiu; Marilyn Martinez; Ram Tiwari
Journal:  AAPS J       Date:  2016-02-19       Impact factor: 4.009

4.  Bioavailability, bioequivalence, and in vitro-in vivo correlation of oxybutynin transdermal patch in rabbits.

Authors:  Achyut Khire; Pradeep Vavia
Journal:  Drug Deliv Transl Res       Date:  2014-04       Impact factor: 4.617

5.  Prediction of metabolism-induced hepatotoxicity on three-dimensional hepatic cell culture and enzyme microarrays.

Authors:  Kyeong-Nam Yu; Sashi Nadanaciva; Payal Rana; Dong Woo Lee; Bosung Ku; Alexander D Roth; Jonathan S Dordick; Yvonne Will; Moo-Yeal Lee
Journal:  Arch Toxicol       Date:  2017-11-22       Impact factor: 5.153

6.  Sublingual fast dissolving niosomal films for enhanced bioavailability and prolonged effect of metoprolol tartrate.

Authors:  Ayat Allam; Gihan Fetih
Journal:  Drug Des Devel Ther       Date:  2016-08-02       Impact factor: 4.162

  6 in total

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