Literature DB >> 14727847

Scale-up effects on dissolution and bioavailability of propranolol hydrochloride and metoprolol tartrate tablet formulations.

N D Eddington1, G S Rekhi, L J Lesko, L L Augsburger.   

Abstract

This study evaluated the effects of batch size on the in vitro dissolution and the in vivo bioavailability of immediate release formulations of propranolol hydrochloride and metoprolol tartrate. The formulations were manufactured as small and large batches (6 kg and 60 kg for propranolol; 14 kg and 66 kg for metoprolol), and dissolution was performed using USP Apparatus I at 100 rpm and pH 1.2. Two panels of 14 subjects each were randomly assigned to receive the small and large batches of either propranolol or metoprolol in an open, randomized single-dose study. Blood samples were collected over a 24-hour (propranolol) or 18-hour (metoprolol) period and analyzed by validated methods. As determined by the f2 metric (similarity factor), the dissolution of the small and large batches of propranolol and metoprolol was similar. The mean Cmax and AUC(inf) for the small batch of propranolol were 79.0 microg/L and 536 microg/L/hr, and for the large batch they were 83.5 microg/L and 575 microg/L/hr. Cmax and AUC(inf) for the small batch of metoprolol were found to be 95.5 microg/L and 507 microg/L/hr and for the large batch, 95.1 microg/L and 495 microg/L/hr. The 90% confidence intervals for the small and large batches were within the 80% to 120% range for lnCmax, and lnAUC(inf) for both the propranolol and metoprolol formulations. These results suggest that the scale-up process does not significantly affect the bioavailability of highly soluble, highly permeable drugs and in vitro dissolution tests may be useful in predicting in vivo behavior.

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Year:  2000        PMID: 14727847      PMCID: PMC2784825          DOI: 10.1208/pt010214

Source DB:  PubMed          Journal:  AAPS PharmSciTech        ISSN: 1530-9932            Impact factor:   3.246


  4 in total

1.  Evaluation of in vitro release rate and in vivo absorption characteristics of four metoprolol tartrate immediate-release tablet formulations.

Authors:  G S Rekhi; N D Eddington; M J Fossler; P Schwartz; L J Lesko; L L Augsburger
Journal:  Pharm Dev Technol       Date:  1997-02       Impact factor: 3.133

2.  Scaleup of immediate release oral solid dosage forms.

Authors:  J P Skelly; G A Van Buskirk; D R Savello; G L Amidon; H M Arbit; S Dighe; M B Fawzi; M A Gonzalez; A W Malick; H Malinowski
Journal:  Pharm Res       Date:  1993-02       Impact factor: 4.200

3.  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

4.  Identification of formulation and manufacturing variables that influence in vitro dissolution and in vivo bioavailability of propranolol hydrochloride tablets.

Authors:  N D Eddington; M Ashraf; L L Augsburger; J L Leslie; M J Fossler; L J Lesko; V P Shah; G S Rekhi
Journal:  Pharm Dev Technol       Date:  1998-11       Impact factor: 3.133

  4 in total
  4 in total

1.  Dissolution variability: comparison of commercial dosage forms with US Pharmacopeia Lot P Prednisone reference standard tablets--a technical note.

Authors:  Pallavi Nithyanandan; Walter W Hauck; Jimmy Munoz; Gang Deng; William Brown; Ronald G Manning; Samir Wahab
Journal:  AAPS PharmSciTech       Date:  2008-02-08       Impact factor: 3.246

2.  Physiologically based pharmacokinetic modelling to predict the pharmacokinetics of metoprolol in different CYP2D6 genotypes.

Authors:  Choong-Min Lee; Pureum Kang; Chang-Keun Cho; Hye-Jung Park; Yun Jeong Lee; Jung-Woo Bae; Chang-Ik Choi; Hyung Sik Kim; Choon-Gon Jang; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-06-28       Impact factor: 4.946

3.  In vitro-in vivo correlation evaluation of generic alfuzosin modified release tablets.

Authors:  Utpal Kumar Sanki; Badal Kumar Mandal
Journal:  ISRN Toxicol       Date:  2012-11-20

4.  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

  4 in total

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