Literature DB >> 17548463

Data-based mathematical modeling of vectorial transport across double-transfected polarized cells.

Kilian Bartholomé1, Maria Rius, Katrin Letschert, Daniela Keller, Jens Timmer, Dietrich Keppler.   

Abstract

Vectorial transport of endogenous small molecules, toxins, and drugs across polarized epithelial cells contributes to their half-life in the organism and to detoxification. To study vectorial transport in a quantitative manner, an in vitro model was used that includes polarized MDCKII cells stably expressing the recombinant human uptake transporter OATP1B3 in their basolateral membrane and the recombinant ATP-driven efflux pump ABCC2 in their apical membrane. These double-transfected cells enabled mathematical modeling of the vectorial transport of the anionic prototype substance bromosulfophthalein (BSP) that has frequently been used to examine hepatobiliary transport. Time-dependent analyses of (3)H-labeled BSP in the basolateral, intracellular, and apical compartments of cells cultured on filter membranes and efflux experiments in cells preloaded with BSP were performed. A mathematical model was fitted to the experimental data. Data-based modeling was optimized by including endogenous transport processes in addition to the recombinant transport proteins. The predominant contributions to the overall vectorial transport of BSP were mediated by OATP1B3 (44%) and ABCC2 (28%). Model comparison predicted a previously unrecognized endogenous basolateral efflux process as a negative contribution to total vectorial transport, amounting to 19%, which is in line with the detection of the basolateral efflux pump Abcc4 in MDCKII cells. Rate-determining steps in the vectorial transport were identified by calculating control coefficients. Data-based mathematical modeling of vectorial transport of BSP as a model substance resulted in a quantitative description of this process and its components. The same systems biology approach may be applied to other cellular systems and to different substances.

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Year:  2007        PMID: 17548463     DOI: 10.1124/dmd.107.015636

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  4 in total

Review 1.  Membrane transporters in drug development.

Authors:  Kathleen M Giacomini; Shiew-Mei Huang; Donald J Tweedie; Leslie Z Benet; Kim L R Brouwer; Xiaoyan Chu; Amber Dahlin; Raymond Evers; Volker Fischer; Kathleen M Hillgren; Keith A Hoffmaster; Toshihisa Ishikawa; Dietrich Keppler; Richard B Kim; Caroline A Lee; Mikko Niemi; Joseph W Polli; Yuichi Sugiyama; Peter W Swaan; Joseph A Ware; Stephen H Wright; Sook Wah Yee; Maciej J Zamek-Gliszczynski; Lei Zhang
Journal:  Nat Rev Drug Discov       Date:  2010-03       Impact factor: 84.694

2.  In silico and in vitro modeling of hepatocyte drug transport processes: importance of ABCC2 expression levels in the disposition of carboxydichlorofluroscein.

Authors:  Katharine Howe; G Gordon Gibson; Tanya Coleman; Nick Plant
Journal:  Drug Metab Dispos       Date:  2008-11-20       Impact factor: 3.922

3.  A systems biology approach to dynamic modeling and inter-subject variability of statin pharmacokinetics in human hepatocytes.

Authors:  Joachim Bucher; Stephan Riedmaier; Anke Schnabel; Katrin Marcus; Gabriele Vacun; Thomas S Weiss; Wolfgang E Thasler; Andreas K Nüssler; Ulrich M Zanger; Matthias Reuss
Journal:  BMC Syst Biol       Date:  2011-05-06

4.  Fitting the elementary rate constants of the P-gp transporter network in the hMDR1-MDCK confluent cell monolayer using a particle swarm algorithm.

Authors:  Deep Agnani; Poulomi Acharya; Esteban Martinez; Thuy Thanh Tran; Feby Abraham; Frank Tobin; Harma Ellens; Joe Bentz
Journal:  PLoS One       Date:  2011-10-18       Impact factor: 3.240

  4 in total

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