Literature DB >> 17637167

Evaluation and suggested improvements of the Biopharmaceutics Classification System (BCS).

Urban Fagerholm1.   

Abstract

This review has evaluated the Biopharmaceutics Classification System (BCS) and improvements have been proposed. The BCS has a very strict solubility/dissolution limit, a generous P(e)-limit (> or = 14-times higher rate constant limit for dissolution than for permeation), and is stricter for drugs with a long half-life (t(1/2)). Available human in-vivo, in-vitro, and in-silico P(e)-methods cannot classify P(e) for moderately to highly permeable substances sufficiently well, and in-vitro data often underpredict the in-vivo dissolution potential and rate. Good in-vivo dissolution and absorption can be expected for most high P(e) drug products. It has not been possible to find a highly permeable product with a Dose number (D(o)) < 385 (< 2400 in the fed state) that is clearly incompletely absorbed, and near complete uptake has been shown for a drug product with a D(o) of 660000. The potential implication of these findings is that many true BCS Class I drug products are incorrectly classified. This could be a reason for the limited use of this system. On this basis, it has been suggested that: the limit for high for solubility/dissolution is decreased (to > 40 and > 95% dissolved within 30 min and 3 h, respectively); the limit for high P(e) is increased (to >P(e) of metoprolol); accurate P(e)-models or in-vivo fraction absorbed data are used; solubility/dissolution tests are performed using real or validated simulated gastrointestinal fluids; in-vitro/in-vivo dissolution relationships are established; the t(1/2) is considered; and the rate-limiting step for in-vivo absorption is determined. A major change could be to reduce the BCS into two classes: permeation-rate (Class I) or dissolution-rate (Class II) limited absorption. It is believed that this could give a better balance and increase the number of biowaivers.

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Year:  2007        PMID: 17637167     DOI: 10.1211/jpp.59.6.0001

Source DB:  PubMed          Journal:  J Pharm Pharmacol        ISSN: 0022-3573            Impact factor:   3.765


  6 in total

1.  The use of BDDCS in classifying the permeability of marketed drugs.

Authors:  Leslie Z Benet; Gordon L Amidon; Dirk M Barends; Hans Lennernäs; James E Polli; Vinod P Shah; Salomon A Stavchansky; Lawrence X Yu
Journal:  Pharm Res       Date:  2008-01-31       Impact factor: 4.200

2.  Application of absorption modeling to predict bioequivalence outcome of two batches of etoricoxib tablets.

Authors:  Amitava Mitra; Filippos Kesisoglou; Peter Dogterom
Journal:  AAPS PharmSciTech       Date:  2014-09-03       Impact factor: 3.246

3.  Imbuing aqueous solubility to amphotericin B and nystatin with a vitamin.

Authors:  Timothy P Day; Diptesh Sil; Nikunj M Shukla; Asokan Anbanandam; Victor W Day; Sunil A David
Journal:  Mol Pharm       Date:  2010-12-17       Impact factor: 4.939

4.  Exploratory Study on Lercanidipine Hydrochloride Polymorphism: pH-Dependent Solubility Behavior and Simulation of its Impact on Pharmacokinetics.

Authors:  Ilia Alekseevich Repin; Raimar Loebenberg; John DiBella; António C L Conceição; Manuel E Minas da Piedade; Humberto G Ferraz; Michele G Issa; Nadia A Bou-Chacra; Catharine F M Ermida; Gabriel L B de Araujo
Journal:  AAPS PharmSciTech       Date:  2021-01-21       Impact factor: 3.246

5.  The role of permeability in drug ADME/PK, interactions and toxicity--presentation of a permeability-based classification system (PCS) for prediction of ADME/PK in humans.

Authors:  Urban Fagerholm
Journal:  Pharm Res       Date:  2007-08-21       Impact factor: 4.200

6.  A Physiologically Based Pharmacokinetic Model for Studying the Biowaiver Risk of Biopharmaceutics Classification System Class I Drugs With Rapid Elimination: Dexketoprofen Trometamol Case Study.

Authors:  Xian Zhang; Xuxiao Ye; Kuan Hu; Wenping Li; Wenqian Li; Qingqing Xiao; Lin Chen; Jin Yang
Journal:  Front Pharmacol       Date:  2022-02-10       Impact factor: 5.810

  6 in total

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