Literature DB >> 34272715

Case Study 8: Status of the Structural Mass Action Kinetic Model of P-gp-Mediated Transport Through Confluent Cell Monolayers.

Joe Bentz1, Harma Ellens2.   

Abstract

In the first edition of this book, we presented the basics of explicitly incorporating the lipid biochemistry into a confluent cell monolayer transport model and the novel findings of this model up to 2013, including the use of global optimization to fit the elementary rate constants and the efflux active P-glycoprotein (P-gp) membrane concentrations for the transport of four P-gp substrates across MDCKII-hMDR1-NKI confluent cell monolayers. This chapter is an update on that model, which has been focused primarily on discovering how microvilli morphology regulates the efflux active P-gp and the existence of, as yet, unidentified uptake transporters of P-gp substrates in all of the commonly used P-gp expressing cell lines used in the pharmaceutical industry, thereby adding new players to DDI predictions and IVIVE. The structural mass action kinetic model uses the general mass action reactions for P-gp binding and efflux, with the membrane structural parameters for the confluent cell monolayer to predict drug transport over time. Binding of drug to P-gp occurs within the cytosolic monolayer of the apical membrane, according to (a) the molar partition coefficient of the drug to the cytosolic monolayer and (b) the association rate constant, k1 (M-1 s-1), of the drug from the basolateral or apical outer monolayers into the P-gp binding site. Release of substrate from P-gp back into the cytosolic monolayer occurs with a dissociation rate constant kr (s-1) or, much less frequently, into the apical aqueous chamber with an efflux rate constant k2 (s-1). The model fits the efflux active P-gp concentration, T(0), i.e., the P-gp whose effluxed drug actually reaches the apical aqueous chamber, as opposed to the majority of P-gp whose effluxed drug is reabsorbed back into the same or neighboring microvilli prior to reaching the apical aqueous chamber. Efflux active P-gp largely resides near the tips of the microvilli. We have shown using kinetics and structured illumination microscopy that: (a) efflux active P-gp is controlled by microvilli morphology; (b) there are apical (AT) and basolateral (BT) uptake transporters for P-gp substrates in most, if not all, P-gp expressing cell lines used in the pharmaceutical industry, which exist, but which remain unidentified; (c) the lab-to-lab variability in P-gp IC50 values observed in the P-gp IC50 initiative was due to the conflated inhibition of P-gp and the basolateral digoxin uptake transporters by all 15 P-gp substrates tested in that study; (d) even the IC50 values for P-gp inhibition alone do not obey the Cheng-Prusoff relationship; (e) the fitted elementary rate constants and the molecular dissociation constant Ki for this kinetic model are system independent; and (f) the time dependence of product formation for these confluent cell monolayers is correlated with the P-gp Vmax/Km, when defined by its fitted elementary rate constants and uptake transporter clearances, without any steady-state assumptions.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Confluent cell monolayer structure; P-glycoprotein transport; Structural mass action kinetic model; Structured illumination microscopy; Uptake transporters for P-gp substrates

Year:  2021        PMID: 34272715     DOI: 10.1007/978-1-0716-1554-6_27

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  33 in total

1.  The elementary mass action rate constants of P-gp transport for a confluent monolayer of MDCKII-hMDR1 cells.

Authors:  Thuy Thanh Tran; Aditya Mittal; Tanya Aldinger; Joseph W Polli; Andrew Ayrton; Harma Ellens; Joe Bentz
Journal:  Biophys J       Date:  2004-10-22       Impact factor: 4.033

2.  Permeability, transport, and metabolism of solutes in Caco-2 cell monolayers: a theoretical study.

Authors:  Huadong Sun; K Sandy Pang
Journal:  Drug Metab Dispos       Date:  2007-10-11       Impact factor: 3.922

Review 3.  Modelling of drug disposition kinetics in in vitro intestinal absorption cell models.

Authors:  Aki T Heikkinen; Timo Korjamo; Jukka Mönkkönen
Journal:  Basic Clin Pharmacol Toxicol       Date:  2009-12-22       Impact factor: 4.080

4.  The steady-state Michaelis-Menten analysis of P-glycoprotein mediated transport through a confluent cell monolayer cannot predict the correct Michaelis constant Km.

Authors:  Joe Bentz; Thuy Thanh Tran; Joseph W Polli; Andrew Ayrton; Harma Ellens
Journal:  Pharm Res       Date:  2005-09-22       Impact factor: 4.200

5.  Variability in P-glycoprotein inhibitory potency (IC₅₀) using various in vitro experimental systems: implications for universal digoxin drug-drug interaction risk assessment decision criteria.

Authors:  Joe Bentz; Michael P O'Connor; Dallas Bednarczyk; Joann Coleman; Caroline Lee; Johan Palm; Y Anne Pak; Elke S Perloff; Eric Reyner; Praveen Balimane; Marie Brännström; Xiaoyan Chu; Christoph Funk; Ailan Guo; Imad Hanna; Krisztina Herédi-Szabó; Kate Hillgren; Libin Li; Evelyn Hollnack-Pusch; Masoud Jamei; Xuena Lin; Andrew K Mason; Sibylle Neuhoff; Aarti Patel; Lalitha Podila; Emile Plise; Ganesh Rajaraman; Laurent Salphati; Eric Sands; Mitchell E Taub; Jan-Shiang Taur; Dietmar Weitz; Heleen M Wortelboer; Cindy Q Xia; Guangqing Xiao; Jocelyn Yabut; Tetsuo Yamagata; Lei Zhang; Harma Ellens
Journal:  Drug Metab Dispos       Date:  2013-04-25       Impact factor: 3.922

Review 6.  Mechanistic kinetic modeling generates system-independent P-glycoprotein mediated transport elementary rate constants for inhibition and, in combination with 3D SIM microscopy, elucidates the importance of microvilli morphology on P-glycoprotein mediated efflux activity.

Authors:  Harma Ellens; Zhou Meng; Sylvain J Le Marchand; Joe Bentz
Journal:  Expert Opin Drug Metab Toxicol       Date:  2018-06-07       Impact factor: 4.481

Review 7.  ITC recommendations for transporter kinetic parameter estimation and translational modeling of transport-mediated PK and DDIs in humans.

Authors:  M J Zamek-Gliszczynski; C A Lee; A Poirier; J Bentz; X Chu; H Ellens; T Ishikawa; M Jamei; J C Kalvass; S Nagar; K S Pang; K Korzekwa; P W Swaan; M E Taub; P Zhao; A Galetin
Journal:  Clin Pharmacol Ther       Date:  2013-02-25       Impact factor: 6.875

8.  Kinetic identification of membrane transporters that assist P-glycoprotein-mediated transport of digoxin and loperamide through a confluent monolayer of MDCKII-hMDR1 cells.

Authors:  Poulomi Acharya; Michael P O'Connor; Joseph W Polli; Andrew Ayrton; Harma Ellens; Joe Bentz
Journal:  Drug Metab Dispos       Date:  2007-10-29       Impact factor: 3.922

9.  Derivation of a System-Independent Ki for P-glycoprotein Mediated Digoxin Transport from System-Dependent IC50 Data.

Authors:  Aqsaa Chaudhry; Git Chung; Adam Lynn; Akshata Yalvigi; Colin Brown; Harma Ellens; Michael O'Connor; Caroline Lee; Joe Bentz
Journal:  Drug Metab Dispos       Date:  2018-01-09       Impact factor: 3.922

10.  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

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