Literature DB >> 18446521

Use of the Biopharmaceutical Classification System in early drug development.

M Sherry Ku1.   

Abstract

The Biopharmaceutics Classification System (BCS) is not only a useful tool for obtaining waivers for in-vivo bioequivalence studies but also for decision making in the discovery and early development of new drugs. Measurement of solubility and permeability in the discovery/development settings is described. These data can be utilized for the preliminary BCS classification of pipeline compounds. A decision tree is described in the prioritization of salt and polymorph screening studies prior to in vivo studies in animals. For BCS class 1 and 3 compounds, polymorphism is less likely to impact on bioavailability. The polymorph screening study may be postponed after animal studies. The BCS classification can also be used in the design of animal and human formulations. A BCS-based animal formulation development decision tree is presented. A compound is triaged based on a series of decision points into one of the five formulation strategies. Human formulation has different requirements than animal formulation. A comparison between animal and human formulation strategies is presented. In conclusion, for non-BCS 1 compounds, the right-first-time polymorph and formulation selection ensures consistent pharmacokinetic performance and avoids bridging BA/BE studies. It is in line with FDA's initiative to reduce R&D cycle time through quality by design for pharmaceutical products.

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Year:  2008        PMID: 18446521      PMCID: PMC2751465          DOI: 10.1208/s12248-008-9020-0

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  10 in total

Review 1.  Caco-2 monolayers in experimental and theoretical predictions of drug transport.

Authors:  P Artursson; K Palm; K Luthman
Journal:  Adv Drug Deliv Rev       Date:  2001-03-01       Impact factor: 15.470

Review 2.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.

Authors:  C A Lipinski; F Lombardo; B W Dominy; P J Feeney
Journal:  Adv Drug Deliv Rev       Date:  2001-03-01       Impact factor: 15.470

Review 3.  Multivariate pharmaceutical profiling for drug discovery.

Authors:  Edward H Kerns; Li Di
Journal:  Curr Top Med Chem       Date:  2002-01       Impact factor: 3.295

Review 4.  Predicting drug disposition via application of BCS: transport/absorption/ elimination interplay and development of a biopharmaceutics drug disposition classification system.

Authors:  Chi-Yuan Wu; Leslie Z Benet
Journal:  Pharm Res       Date:  2005-01       Impact factor: 4.200

Review 5.  Current industrial practices of assessing permeability and P-glycoprotein interaction.

Authors:  Praveen V Balimane; Yong-Hae Han; Saeho Chong
Journal:  AAPS J       Date:  2006-01-13       Impact factor: 4.009

6.  Drug absorption. I. An in situ rat gut technique yielding realistic absorption rates.

Authors:  J T Doluisio; N F Billups; L W Dittert; E T Sugita; J V Swintosky
Journal:  J Pharm Sci       Date:  1969-10       Impact factor: 3.534

Review 7.  Pharmaceutical solids: a strategic approach to regulatory considerations.

Authors:  S Byrn; R Pfeiffer; M Ganey; C Hoiberg; G Poochikian
Journal:  Pharm Res       Date:  1995-07       Impact factor: 4.200

8.  A high-throughput screening method for the determination of aqueous drug solubility using laser nephelometry in microtiter plates.

Authors:  C D Bevan; R S Lloyd
Journal:  Anal Chem       Date:  2000-04-15       Impact factor: 6.986

9.  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

10.  MDCK (Madin-Darby canine kidney) cells: A tool for membrane permeability screening.

Authors:  J D Irvine; L Takahashi; K Lockhart; J Cheong; J W Tolan; H E Selick; J R Grove
Journal:  J Pharm Sci       Date:  1999-01       Impact factor: 3.534

  10 in total
  16 in total

1.  Summary workshop report: bioequivalence, biopharmaceutics classification system, and beyond.

Authors:  James E Polli; Bertil S I Abrahamsson; Lawrence X Yu; Gordon L Amidon; John M Baldoni; Jack A Cook; Paul Fackler; Kerry Hartauer; Gordon Johnston; Steve L Krill; Robert A Lipper; Waseem A Malick; Vinod P Shah; Duxin Sun; Helen N Winkle; Yunhui Wu; Hua Zhang
Journal:  AAPS J       Date:  2008-08-05       Impact factor: 4.009

2.  Food Effect in Humans: Predicting the Risk Through In Vitro Dissolution and In Vivo Pharmacokinetic Models.

Authors:  Neil Mathias; Yan Xu; Balvinder Vig; Umesh Kestur; Amy Saari; John Crison; Divyakant Desai; Aditya Vanarase; Munir Hussain
Journal:  AAPS J       Date:  2015-05-02       Impact factor: 4.009

Review 3.  Prediction of solubility and permeability class membership: provisional BCS classification of the world's top oral drugs.

Authors:  Arik Dahan; Jonathan M Miller; Gordon L Amidon
Journal:  AAPS J       Date:  2009-10-30       Impact factor: 4.009

Review 4.  Nanocarrier for poorly water-soluble anticancer drugs--barriers of translation and solutions.

Authors:  Mayuri Narvekar; Hui Yi Xue; June Young Eoh; Ho Lun Wong
Journal:  AAPS PharmSciTech       Date:  2014-04-02       Impact factor: 3.246

5.  Synthesis and antimalarial activity of 3,3-spiroanellated 5,6-disubstituted 1,2,4-trioxanes.

Authors:  Ranjani Maurya; Awakash Soni; Devireddy Anand; Makthala Ravi; Kanumuri S R Raju; Isha Taneja; Niraj K Naikade; S K Puri; Sanjeev Kanojiya; Prem P Yadav
Journal:  ACS Med Chem Lett       Date:  2012-12-11       Impact factor: 4.345

Review 6.  Polymeric micelles for multi-drug delivery in cancer.

Authors:  Hyunah Cho; Tsz Chung Lai; Keishiro Tomoda; Glen S Kwon
Journal:  AAPS PharmSciTech       Date:  2014-12-11       Impact factor: 3.246

7.  Comparison of the permeability of metoprolol and labetalol in rat, mouse, and Caco-2 cells: use as a reference standard for BCS classification.

Authors:  Tuba Incecayir; Yasuhiro Tsume; Gordon L Amidon
Journal:  Mol Pharm       Date:  2013-02-04       Impact factor: 4.939

Review 8.  The Precipitation Behavior of Poorly Water-Soluble Drugs with an Emphasis on the Digestion of Lipid Based Formulations.

Authors:  Jamal Khan; Thomas Rades; Ben Boyd
Journal:  Pharm Res       Date:  2015-11-23       Impact factor: 4.200

9.  Coherent anti-Stokes Raman scattering (CARS) microscopy visualizes pharmaceutical tablets during dissolution.

Authors:  Andrew L Fussell; Peter Kleinebudde; Jennifer Herek; Clare J Strachan; Herman L Offerhaus
Journal:  J Vis Exp       Date:  2014-07-04       Impact factor: 1.355

10.  Provisional in-silico biopharmaceutics classification (BCS) to guide oral drug product development.

Authors:  Omri Wolk; Riad Agbaria; Arik Dahan
Journal:  Drug Des Devel Ther       Date:  2014-09-24       Impact factor: 4.162

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