Literature DB >> 15734300

Caco-2 permeability of weakly basic drugs predicted with the double-sink PAMPA pKa(flux) method.

Alex Avdeef1, Per Artursson, Sibylle Neuhoff, Lucia Lazorova, Johan Gråsjö, Staffan Tavelin.   

Abstract

The aim of this study was to analyze pH-dependent permeability of cationic drugs in Caco-2 cell monolayers using the pK(a)(flux) method and to correlate the results with those obtained in PAMPA (parallel artificial membrane permeability assay). The pH-dependent permeability of verapamil and propranolol was studied in Caco-2 cell monolayers. The data were subsequently processed using software developed for the PAMPA pK(a)(flux) method. Literature values for an additional nine cationic drugs were also analyzed. Double-Sink PAMPA data were also obtained for the same cationic drugs, to compare with the Caco-2 data. The Algorithm Builder program was then used to develop a predictive model of Caco-2 permeability based on PAMPA permeability and calculated Abraham molecular descriptors. From the relationship between permeability and pH it was shown that in PAMPA only the uncharged form of the drugs permeated across the membrane barrier, while charged and ionized forms of the drugs were significantly permeable in Caco-2. The charged-form permeability, P(i), was therefore determined and subsequently subtracted from all permeability coefficients in Caco-2 prior to the comparison with PAMPA. The resulting intrinsic permeability coefficients (P(o)) obtained in Caco-2 were successfully related to those derived from the PAMPA model. In this study we have shown that permeability coefficients obtained in PAMPA can predict the passive transcellular permeability in Caco-2.

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Year:  2005        PMID: 15734300     DOI: 10.1016/j.ejps.2004.11.011

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  46 in total

Review 1.  Coexistence of passive and carrier-mediated processes in drug transport.

Authors:  Kiyohiko Sugano; Manfred Kansy; Per Artursson; Alex Avdeef; Stefanie Bendels; Li Di; Gerhard F Ecker; Bernard Faller; Holger Fischer; Grégori Gerebtzoff; Hans Lennernaes; Frank Senner
Journal:  Nat Rev Drug Discov       Date:  2010-08       Impact factor: 84.694

2.  Highly predictive and interpretable models for PAMPA permeability.

Authors:  Hongmao Sun; Kimloan Nguyen; Edward Kerns; Zhengyin Yan; Kyeong Ri Yu; Pranav Shah; Ajit Jadhav; Xin Xu
Journal:  Bioorg Med Chem       Date:  2016-12-31       Impact factor: 3.641

3.  A cell-based molecular transport simulator for pharmacokinetic prediction and cheminformatic exploration.

Authors:  Xinyuan Zhang; Kerby Shedden; Gus R Rosania
Journal:  Mol Pharm       Date:  2006 Nov-Dec       Impact factor: 4.939

4.  Predicting effect of food on extent of drug absorption based on physicochemical properties.

Authors:  Chong-Hui Gu; Hua Li; Jaquan Levons; Kimberley Lentz; Rajesh B Gandhi; Krishnaswamy Raghavan; Ronald L Smith
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

5.  Continuous Intestinal Absorption Model Based on the Convection-Diffusion Equation.

Authors:  Swati Nagar; Richard C Korzekwa; Ken Korzekwa
Journal:  Mol Pharm       Date:  2017-07-31       Impact factor: 4.939

6.  An atomistic model of passive membrane permeability: application to a series of FDA approved drugs.

Authors:  Chakrapani Kalyanaraman; Matthew P Jacobson
Journal:  J Comput Aided Mol Des       Date:  2007-11-08       Impact factor: 3.686

7.  A general approach to the apparent permeability index.

Authors:  Pasquale Palumbo; Umberto Picchini; Benoît Beck; Jan van Gelder; Nathalie Delbar; Andrea DeGaetano
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-03-20       Impact factor: 2.745

8.  A novel design of artificial membrane for improving the PAMPA model.

Authors:  Xiaoxi Chen; Anthony Murawski; Karishma Patel; Charles L Crespi; Praveen V Balimane
Journal:  Pharm Res       Date:  2008-01-10       Impact factor: 4.200

9.  In silico prediction of drug permeability across buccal mucosa.

Authors:  Amit Kokate; Xiaoling Li; Paul J Williams; Parminder Singh; Bhaskara R Jasti
Journal:  Pharm Res       Date:  2009-01-30       Impact factor: 4.200

Review 10.  Physiologically based pharmacokinetic modelling of drug penetration across the blood-brain barrier--towards a mechanistic IVIVE-based approach.

Authors:  Kathryn Ball; François Bouzom; Jean-Michel Scherrmann; Bernard Walther; Xavier Declèves
Journal:  AAPS J       Date:  2013-06-20       Impact factor: 4.009

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