Literature DB >> 14725354

Quantitative biopharmaceutics classification system: the central role of dose/solubility ratio.

Eleni Rinaki1, Georgia Valsami, Panos Macheras.   

Abstract

PURPOSE: To develop a quantitative biopharmaceutics drug classification system (QBCS) based on fundamental parameters controlling rate and extent of absorption.
METHODS: A simple absorption model that considers transit flow, dissolution, and permeation processes stochastically was used to illustrate the primary importance of dose/solubility ratio and permeability on drug absorption. Simple mean time considerations for dissolution, uptake, and transit were used to identify relationships between the extent of absorption and a drug's dissolution and permeability characteristics.
RESULTS: The QBCS developed relies on a (permeability, dose/ solubility ratio) plane with cutoff points 2 x 10(-6)-10(-5) cm/s for the permeability and 0.5-1 (unitless) for the dose/solubility ratio axes. Permeability estimates, P(app) are derived from Caco-2 studies, and a constant intestinal volume content of 250 ml is used to express the dose/solubility ratio as a dimensionless quantity, q. A physiologic range of 250-500 ml was used to account for variability in the intestinal volume. Drugs are classified into the four quadrants of the plane around the cutoff points according to their P(app), q values, establishing four drug categories. i.e., I (P(app) > 10(-5) cm/s, q < or = 0.5), II (P(app) > 10(-5) cm/s, q > 1), III (P(app) < 2 x 10(-6) cm/s. q < or = 0.5), and IV (P(app) < 2 x 10(-6) cm/s, q > 1). A region for borderline drugs (2 x 10(-6) < P(app) < 10(-5) cm/s, 0.5 < q < 1) was defined too. For category I, complete absorption is anticipated, whereas categories II and III exhibit dose/ solubility ratio-limited and permeability-limited absorption, respectively. For category IV, both permeability and dose/solubility ratio are controlling drug absorption. Semiquantitative predictions of the extent of absorption were pointed out on the basis of mean time considerations for dissolution, uptake, and transit in conjunction with drug's dose/solubility ratio and permeability characteristics. A set of 42 drugs were classified into the four categories, and the predictions of intestinal drug absorption were in accord with the experimental observations.
CONCLUSIONS: The QBCS provides a basis for compound classification into four explicitly defined drug categories using the fundamental biopharmaceutical properties, permeability, and dose/solubility ratio. Semiquantitative predictions for the extent of absorption are essentially based on these drug properties, which either determine or are strongly related to the in vivo kinetics of drug dissolution and intestinal wall permeation.

Mesh:

Year:  2003        PMID: 14725354     DOI: 10.1023/b:pham.0000008037.57884.11

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  35 in total

1.  Absorption potential and its variants.

Authors:  H Boxenbaum
Journal:  Pharm Res       Date:  1999-12       Impact factor: 4.200

2.  Evaluation of human intestinal absorption data and subsequent derivation of a quantitative structure-activity relationship (QSAR) with the Abraham descriptors.

Authors:  Y H Zhao; J Le; M H Abraham; A Hersey; P J Eddershaw; C N Luscombe; D Butina; G Beck; B Sherborne; I Cooper; J A Platts; D Boutina
Journal:  J Pharm Sci       Date:  2001-06       Impact factor: 3.534

3.  Absorption classification of oral drugs based on molecular surface properties.

Authors:  Christel A S Bergström; Melissa Strafford; Lucia Lazorova; Alex Avdeef; Kristina Luthman; Per Artursson
Journal:  J Med Chem       Date:  2003-02-13       Impact factor: 7.446

4.  Drug binding and solubility in milk.

Authors:  P E Macheras; M A Koupparis; S G Antimisiaris
Journal:  Pharm Res       Date:  1990-05       Impact factor: 4.200

5.  Estimation of permeability by passive diffusion through Caco-2 cell monolayers using the drugs' lipophilicity and molecular weight.

Authors:  G Camenisch; J Alsenz; H van de Waterbeemd; G Folkers
Journal:  Eur J Pharm Sci       Date:  1998-10       Impact factor: 4.384

6.  Linear correlation of the fraction of oral dose absorbed of 64 drugs between humans and rats.

Authors:  W L Chiou; A Barve
Journal:  Pharm Res       Date:  1998-11       Impact factor: 4.200

7.  Drug liposome partitioning as a tool for the prediction of human passive intestinal absorption.

Authors:  K Balon; B U Riebesehl; B W Müller
Journal:  Pharm Res       Date:  1999-06       Impact factor: 4.200

8.  Correlation between oral drug absorption in humans and apparent drug permeability coefficients in human intestinal epithelial (Caco-2) cells.

Authors:  P Artursson; J Karlsson
Journal:  Biochem Biophys Res Commun       Date:  1991-03-29       Impact factor: 3.575

9.  Moment analysis for the separation of mean in vivo disintegration, dissolution, absorption, and disposition time of ampicillin products.

Authors:  Y Tanigawara; K Yamaoka; T Nakagawa; T Uno
Journal:  J Pharm Sci       Date:  1982-10       Impact factor: 3.534

10.  Predicting fraction dose absorbed in humans using a macroscopic mass balance approach.

Authors:  P J Sinko; G D Leesman; G L Amidon
Journal:  Pharm Res       Date:  1991-08       Impact factor: 4.200

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  27 in total

Review 1.  Drug delivery to the small intestine.

Authors:  David R Friend
Journal:  Curr Gastroenterol Rep       Date:  2004-10

2.  Elucidating the role of dose in the biopharmaceutics classification of drugs: the concepts of critical dose, effective in vivo solubility, and dose-dependent BCS.

Authors:  Georgia Charkoftaki; Aristides Dokoumetzidis; Georgia Valsami; Panos Macheras
Journal:  Pharm Res       Date:  2012-07-04       Impact factor: 4.200

Review 3.  BDDCS Predictions, Self-Correcting Aspects of BDDCS Assignments, BDDCS Assignment Corrections, and Classification for more than 175 Additional Drugs.

Authors:  Chelsea M Hosey; Rosa Chan; Leslie Z Benet
Journal:  AAPS J       Date:  2015-11-20       Impact factor: 4.009

4.  Identification of biowaivers among Class II drugs: theoretical justification and practical examples.

Authors:  Eleni Rinaki; Aristides Dokoumetzidis; Georgia Valsami; Panos Macheras
Journal:  Pharm Res       Date:  2004-09       Impact factor: 4.200

5.  Applying pattern recognition methods to analyze the molecular properties of a homologous series of nitrogen mustard agents.

Authors:  Ronald Bartzatt; Laura Donigan
Journal:  AAPS PharmSciTech       Date:  2006-04-14       Impact factor: 3.246

6.  Analysis of dissolution data using modified versions of Noyes-Whitney equation and the Weibull function.

Authors:  Aristides Dokoumetzidis; Vasiliki Papadopoulou; Panos Macheras
Journal:  Pharm Res       Date:  2006-01-25       Impact factor: 4.200

Review 7.  Recent progress in the computational prediction of aqueous solubility and absorption.

Authors:  Stephen R Johnson; Weifan Zheng
Journal:  AAPS J       Date:  2006-02-03       Impact factor: 4.009

8.  BDDCS applied to over 900 drugs.

Authors:  Leslie Z Benet; Fabio Broccatelli; Tudor I Oprea
Journal:  AAPS J       Date:  2011-08-05       Impact factor: 4.009

9.  The effect of acetaminophen nanoparticles on liver toxicity in a rat model.

Authors:  Esmaeil Biazar; S Mahdi Rezayat; Naser Montazeri; Khalil Pourshamsian; Reza Zeinali; Azadeh Asefnejad; Mehdi Rahimi; Mohammadmajid Zadehzare; Mehran Mahmoudi; Rohollah Mazinani; Mehdi Ziaei
Journal:  Int J Nanomedicine       Date:  2010-04-07

10.  Effect of the mechanical activation on size reduction of crystalline acetaminophen drug particles.

Authors:  Esmaeil Biazar; Ali Beitollahi; S Mehdi Rezayat; Tahmineh Forati; Azadeh Asefnejad; Mehdi Rahimi; Reza Zeinali; Mahmoud Ardeshir; Farhad Hatamjafari; Ali Sahebalzamani; Majid Heidari
Journal:  Int J Nanomedicine       Date:  2009-12-29
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