Literature DB >> 14725360

Development of a 7-day, 96-well Caco-2 permeability assay with high-throughput direct UV compound analysis.

Jochem Alsenz1, E Haenel.   

Abstract

PURPOSE: The aim was to replace the traditional 21-day Caco-2 permeability protocol by a more high-throughput assay.
METHODS: Caco-2 cells were seeded at high density in 96-well plates in novel cell culture boxes. After 7 days, drug permeability studies were performed. Samples were analyzed by a new UV detection method.
RESULTS: With increased cell seeding density. functional Caco-2 monolayers with polarized efflux transporters were established after 7 days in 96-well polycarbonate filter plates in standard medium. For faster feeding and to eliminate medium replacement in each individual well, plates were completely submerged in medium in novel cell culture boxes, and only medium outside the plate was exchanged. For high-throughput sample analysis, a novel UV-transparent transport buffer was established that allowed direct quantification of permeated drug from its UV absorption. In vitro permeability studies analyzing 22 passively absorbed drugs in the new model correlated well with reported human permeability values (r2 = 0.8725).
CONCLUSIONS: The new 7-day. 96-well Caco-2 permeability model tight to UV analysis offers considerable time, cost, and resource savings compared to the traditional model. It has a potential for automation and makes it possible to determine the permeability of passively diffusing compounds and to classify them according to the BCS in a truly medium- to high-throughput mode.

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Year:  2003        PMID: 14725360     DOI: 10.1023/b:pham.0000008043.71001.43

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


  23 in total

1.  Evaluation of an accelerated Caco-2 cell permeability model.

Authors:  E Liang; K Chessic; M Yazdanian
Journal:  J Pharm Sci       Date:  2000-03       Impact factor: 3.534

2.  Comparison of human duodenum and Caco-2 gene expression profiles for 12,000 gene sequences tags and correlation with permeability of 26 drugs.

Authors:  Duxin Sun; Hans Lennernas; Lynda S Welage; Jeffery L Barnett; Christopher P Landowski; David Foster; David Fleisher; Kyung-Dall Lee; Gordon L Amidon
Journal:  Pharm Res       Date:  2002-10       Impact factor: 4.200

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.  Evaluation of Biocoat intestinal epithelium differentiation environment (3-day cultured Caco-2 cells) as an absorption screening model with improved productivity.

Authors:  S Chong; S A Dando; R A Morrison
Journal:  Pharm Res       Date:  1997-12       Impact factor: 4.200

5.  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

6.  Improvement of megakaryocytic progenitor culture for toxicological investigations.

Authors:  R Froquet; Y Sibiril; D Parent-Massin
Journal:  Toxicol In Vitro       Date:  2001-12       Impact factor: 3.500

7.  New and better protocols for a short-term Caco-2 cell culture system.

Authors:  Shinji Yamashita; Keisuke Konishi; Yukako Yamazaki; Yoko Taki; Toshiyasu Sakane; Hitoshi Sezaki; Yukihiro Furuyama
Journal:  J Pharm Sci       Date:  2002-03       Impact factor: 3.534

8.  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

9.  Correlation of human jejunal permeability (in vivo) of drugs with experimentally and theoretically derived parameters. A multivariate data analysis approach.

Authors:  S Winiwarter; N M Bonham; F Ax; A Hallberg; H Lennernäs; A Karlén
Journal:  J Med Chem       Date:  1998-12-03       Impact factor: 7.446

10.  The role of surfactants in the reversal of active transport mediated by multidrug resistance proteins.

Authors:  Katrijn Bogman; Françoise Erne-Brand; Jochem Alsenz; Jürgen Drewe
Journal:  J Pharm Sci       Date:  2003-06       Impact factor: 3.534

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  19 in total

Review 1.  Application of method suitability for drug permeability classification.

Authors:  Donna A Volpe
Journal:  AAPS J       Date:  2010-09-02       Impact factor: 4.009

2.  In vitro-in situ permeability and dissolution of fexofenadine with kinetic modeling in the presence of sodium dodecyl sulfate.

Authors:  Evren Gundogdu; V Mangas-Sanjuan; Isabel Gonzalez-Alvarez; Marival Bermejo; Ercument Karasulu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-08-11       Impact factor: 2.441

3.  A novel strategy for physiologically based predictions of human pharmacokinetics.

Authors:  Hannah M Jones; Neil Parrott; Karin Jorga; Thierry Lavé
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

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.  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

Review 6.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

Review 7.  Towards quantitative prediction of oral drug absorption.

Authors:  Jennifer B Dressman; Kirstin Thelen; Ekarat Jantratid
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

8.  Drug discovery and regulatory considerations for improving in silico and in vitro predictions that use Caco-2 as a surrogate for human intestinal permeability measurements.

Authors:  Caroline A Larregieu; Leslie Z Benet
Journal:  AAPS J       Date:  2013-01-24       Impact factor: 4.009

Review 9.  Predicting pharmacokinetics of drugs using physiologically based modeling--application to food effects.

Authors:  N Parrott; V Lukacova; G Fraczkiewicz; M B Bolger
Journal:  AAPS J       Date:  2009-01-29       Impact factor: 4.009

10.  Physiologically based pharmacokinetic modelling to predict single- and multiple-dose human pharmacokinetics of bitopertin.

Authors:  Neil Parrott; Dominik Hainzl; Daniela Alberati; Carsten Hofmann; Richard Robson; Bruno Boutouyrie; Meret Martin-Facklam
Journal:  Clin Pharmacokinet       Date:  2013-08       Impact factor: 6.447

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