Literature DB >> 11976018

The influence of first pass metabolism on the development and validation of an IVIVC for metoprolol extended release tablets.

Nattee Sirisuth1, Natalie D Eddington.   

Abstract

To investigate the influence of alpha-hydroxymetoprolol (AHM) and 4-(2-hydroxy-3-isopropylaminopropoxy)-phenylacetic acid (ACMB), both derived from its first pass metabolism of metoprolol, an in vitro in vivo correlation incorporating first pass metabolite data for metoprolol extended release formulations was developed. Three different releasing formulations (slow (S), moderate (M) and fast (F), 100 mg) of metoprolol were evaluated in a previously reported clinical study. The non-first pass effect (Non-FPE) in vitro in vivo correlation (IVIVC) was developed using a fraction of metoprolol dissolved and a fraction of total drug (metoprolol + metabolites) as the absorption data for various combinations of formulations (S/M/F, M/F, S/M, and S/F). Direct convolution approaches predicting metoprolol concentrations and indirect convolution predicting total drug concentrations (metoprolol + metabolites) were used to determine in vivo behavior. The Non-FPE IVIVC using the S/M/F formulations displayed the strongest relationship (r2 > 0.92). The IVIVC using the indirect approach was predictive of both the C(max) (prediction errors (PE) 4.77, 3.94 and 6.14%) and AUC (10.7, 11.0 and 11.3%) for metoprolol, AHM and ACMB. Poor predictability (PE > 40% for C(max) and AUC) was observed for metoprolol when using the direct methods. The predictability of the IVIVC using the indirect approach as compared to the direct method displays the influence of first pass metabolism on the development and evaluation of an IVIVC for a drug that displays a high extraction ratio. In addition, the indirect IVIVC allows for not only predicting the in vivo performance of the parent drug but also the metabolites formed via the first pass effect.

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Year:  2002        PMID: 11976018     DOI: 10.1016/s0939-6411(01)00248-x

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  5 in total

1.  Improving of the accuracy of in vitro-in vivo linear correlation using kinetic models for ultra sustained release theophylline tablets.

Authors:  E Karasulu; S Aktogu; H Y Karasulu; A Aydogdu; I Tuglular; G Ertan
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2003 Oct-Dec       Impact factor: 2.441

2.  Prediction of modified release pharmacokinetics and pharmacodynamics from in vitro, immediate release, and intravenous data.

Authors:  Viera Lukacova; Walter S Woltosz; Michael B Bolger
Journal:  AAPS J       Date:  2009-05-09       Impact factor: 4.009

3.  Development of Extended-Release Mini-Tablets Containing Metoprolol Supported by Design of Experiments and Physiologically Based Biopharmaceutics Modeling.

Authors:  Michele Georges Issa; Natalia Vieira de Souza; Bruna Wenyi Chuang Jou; Marcelo Dutra Duque; Humberto Gomes Ferraz
Journal:  Pharmaceutics       Date:  2022-04-19       Impact factor: 6.525

Review 4.  Population-based mechanistic prediction of oral drug absorption.

Authors:  Masoud Jamei; David Turner; Jiansong Yang; Sibylle Neuhoff; Sebastian Polak; Amin Rostami-Hodjegan; Geoffrey Tucker
Journal:  AAPS J       Date:  2009-04-21       Impact factor: 4.009

5.  Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks.

Authors:  Aleksander Mendyk; Paweł K Tuszyński; Sebastian Polak; Renata Jachowicz
Journal:  Drug Des Devel Ther       Date:  2013-03-27       Impact factor: 4.162

  5 in total

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