Compartmental modelling of the pharmacokinetics of a breast cancer resistance protein

A mathematical model for the pharmacokinetics of Hoechst 33342 following administration into a culture medium containing a population of transfected cells (HEK293 hBCRP) with a potent breast cancer resistance protein inhibitor, Fumitremorgin C (FTC), present is described. FTC is reported to almost completely annul resistance mediated by BCRP in vitro. This non-linear compartmental model has seven macroscopic sub-units, with 14 rate parameters. It describes the relationship between the concentration of Hoechst 33342 and FTC, initially spiked in the medium, and the observed change in fluorescence due to Hoechst 33342 binding to DNA. Structural identifiability analysis has been performed using two methods, one based on the similarity transformation/exhaustive modelling approach and the other based on the differential algebra approach. The analyses demonstrated that all models derived are uniquely identifiable for the experiments/observations available. A kinetic modelling software package, namely FACSIMILE (MPCA Software, UK), was used for parameter fitting and to obtain numerical solutions for the system equations. Model fits gave very good agreement with in vitro data provided by AstraZeneca across a variety of experimental scenarios.

[1]  Eric Walter,et al.  Identifiability of parametric models , 1987 .

[2]  H. Rabitz,et al.  Similarity transformation approach to identifiability analysis of nonlinear compartmental models. , 1989, Mathematical biosciences.

[3]  R G Miller,et al.  Hoechst 33342 dye uptake as a probe of membrane permeability changes in mammalian cells. , 1981, Proceedings of the National Academy of Sciences of the United States of America.

[4]  L. Doyle,et al.  Fumitremorgin C reverses multidrug resistance in cells transfected with the breast cancer resistance protein. , 2000, Cancer research.

[5]  T. Jovin,et al.  Analysis and sorting of living cells according to deoxyribonucleic acid content. , 1977, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[6]  J. Jacquez Compartmental analysis in biology and medicine , 1985 .

[7]  M. Dean,et al.  The multidrug resistance transporter ABCG2 (breast cancer resistance protein 1) effluxes Hoechst 33342 and is overexpressed in hematopoietic stem cells. , 2002, Clinical cancer research : an official journal of the American Association for Cancer Research.

[8]  J. Gauthier,et al.  New Results on Identifiability of Nonlinear Systems , 2004 .

[9]  Nicolette Meshkat,et al.  An algorithm for finding globally identifiable parameter combinations of nonlinear ODE models using Gröbner Bases. , 2009, Mathematical biosciences.

[10]  Jorge E Jiménez-Hornero,et al.  Structural identifiability of a model for the acetic acid fermentation process. , 2008, Mathematical biosciences.

[11]  S. Latt,et al.  Spectral studies on 33258 Hoechst and related bisbenzimidazole dyes useful for fluorescent detection of deoxyribonucleic acid synthesis. , 1976, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[12]  Keith R. Godfrey,et al.  Identifiability of uncontrolled nonlinear rational systems , 2002, Autom..

[13]  T. Glad,et al.  An Algebraic Approach to Linear and Nonlinear Control , 1993 .

[14]  Arild Thowsen,et al.  Structural identifiability , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.

[15]  M Baker,et al.  Kinetic determinants of hepatic clearance: Plasma protein binding and hepatic uptake , 2007, Xenobiotica; the fate of foreign compounds in biological systems.

[16]  L. Doyle,et al.  A multidrug resistance transporter from human MCF-7 breast cancer cells. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Paul J Smith,et al.  Exploration of the intercellular heterogeneity of topotecan uptake into human breast cancer cells through compartmental modelling. , 2008, Mathematical biosciences.

[18]  Peter J H Webborn,et al.  Prediction of the Pharmacokinetics of Atorvastatin, Cerivastatin, and Indomethacin Using Kinetic Models Applied to Isolated Rat Hepatocytes , 2008, Drug Metabolism and Disposition.

[19]  M. J. Chapman,et al.  The structural identifiability of the susceptible infected recovered model with seasonal forcing. , 2005, Mathematical biosciences.

[20]  B. Torok-Storb,et al.  The ABCG2 transporter is an efficient Hoechst 33342 efflux pump and is preferentially expressed by immature human hematopoietic progenitors. , 2002, Blood.

[21]  Lennart Ljung,et al.  On global identifiability for arbitrary model parametrizations , 1994, Autom..

[22]  H. Pohjanpalo System identifiability based on the power series expansion of the solution , 1978 .

[23]  J. DiStefano,et al.  Identifiability of Model Parameter , 1985 .