Assessing drug distribution in tissues expressing P-glycoprotein through physiologically based pharmacokinetic modeling: model structure and parameters determination
Theoretical Biology and Medical Modelling
Assessing drug distribution in tissues expressing P-glycoprotein through physiologically based pharmacokinetic modeling: model structure and parameters determination
Frdrique Fenneteau 2
Jacques Turgeon 2
Lucie Couture 1 2
Vronique Michaud 2
Jun Li 0 3
Fahima Nekka 0 2
0 Centre de Recherche Mathematiques, Universite de Montreal , Montreal, Quebec , Canada
1 Charles River Laboratories Preclinical Services Montreal Inc. , Montreal, Quebec , Canada
2 Faculte de Pharmacie, Universite de Montreal , Montreal, Quebec , Canada
3 Pharsight , Montreal, Quebec , Canada
Background: The expression and activity of P-glycoproteins due to genetic or environmental factors may have a significant impact on drug disposition, drug effectiveness or drug toxicity. Hence, characterization of drug disposition over a wide range of conditions of these membrane transporters activities is required to better characterize drug pharmacokinetics and pharmacodynamics. This work aims to improve our understanding of the impact of P-gp activity modulation on tissue distribution of P-gp substrate. Methods: A PBPK model was developed in order to examine activity and expression of P-gp transporters in mouse brain and heart. Drug distribution in these tissues was first represented by a wellstirred (WS) model and then refined by a mechanistic transport-based (MTB) model that includes P-gp mediated transport of the drug. To estimate transport-related parameters, we developed an original three-step procedure that allowed extrapolation of in vitro measurements of drug permeability to the in vivo situation. The model simulations were compared to a limited set of data in order to assess the model ability to reproduce the important information of drug distributions in the considered tissues. Results: This PBPK model brings insights into the mechanism of drug distribution in non eliminating tissues expressing P-gp. The MTB model accounts for the main transport mechanisms involved in drug distribution in heart and brain. It points out to the protective role of P-gp at the blood-brain barrier and represents thus a noticeable improvement over the WS model. Conclusion: Being built prior to in vivo data, this approach brings an interesting alternative to fitting procedures, and could be adapted to different drugs and transporters. The physiological based model is novel and unique and brought effective information on drug transporters.
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Background
The most studied ATP binding cassette (ABC) membrane
transporters is the P-glycoprotein (P-gp), which is a
multidrug resistance (MDR) protein encoded by the
ATP-binding cassette B1 (ABCB1) gene. The important
role of P-gp in drug absorption and excretion in
intestine, kidney and liver, has been revealed through
reduction of absorption of orally administered drugs and
promotion of urinary and biliary excretion [1, 2].
Furthermore, P-gp transporters have a regulator function
by limiting penetration of drugs in brain, heart, placenta,
ovaries, and testes tissues. This has been shown in vivo on
wild type (WT), mdr1a(-) and mdr1a/1b(-/-) knockout
(KO) mice, which are mice lacking genes encoding for
drug-transporting P-gp [3]. Indeed, higher levels of
radioactivity were measured in various tissues of simple
or double mutated mice compared to WT mice, after IV
or oral administration of different P-gp substrates [3-8].
It has been demonstrated that modulation of the
expression and/or activity of these transporters due to
genetic or environmental factors may have a significant
impact on drug disposition, drug effectiveness or drug
toxicity [9-11]. Hence, characterization of drug
disposition over a wide range of conditions of ABC membrane
transporters activities is required to better characterize
drug pharmacokinetics and pharmacodynamics.
Among pharmacokinetic modeling approaches, the
physiologically based pharmacokinetic (PBPK) approach is
now progressively used at various stages of drug discovery
and development. PBPK models are developed to predict
xenobiotic disposition throughout a mammalian body.
By characterizing the kinetic processes of the drug, it is
possible to predict its distribution inside tissues, organs
and fluids of the body. The whole-body PBPK model
involving tissues and organs connected via the vascular
system mimics the anatomical structure of the mammal
being studied. Generally, tissue distribution of drugs can
be represented either by the perfusion rate limited (also
called well-stirred) model, or the permeability rate
limited model. The former assumes an instantaneous
and homogenous drug distribution in tissues, whereas
the latter represents the tissue as two or three well-stirred
compartments which are separated by a capillary and/or
cellular membrane where a permeability rate limited
transfer occurs [12]. However, the membrane
permeability may not be the only factor contributing towards
limitation of drug distribution within a tissue. The influx
or efflux activity of ABC transporters can be another
important factor involved in drug distribution and
should be considered as such in PBPK modeling.
In drug research and development, predicting drug
disposition prior to in vivo studies is a major challenge [13]. Within
this context, the hypothesis-driven strategy adopted here is
to build a data-independent model that minimizes recourse
to data fitting and exploits in vitro data information. Indeed,
the spirit of PBPK modeling is deeply rooted in the
independence of the model building on the output data
representing the process to be described. It is based on the
integration within a whole entity of drug specific
characteristics with a structural mode which can be more or less
detailed in terms of tissues and organs to be included. As
relevant knowledge of the physiological, morphological,
and physicochemical data becomes available, the possibility
exists for efficient use of limited data in order to reasonably
describe the pharmacokinetics of specific compounds under
a variety of conditions [14]. With this in mind, the
wholebody PBPK model developed herein aims to shed light,
prior to in vivo experiments, on drug distribution in tissues
expressing P-gp transporters. For this purpose, we adopt a
step by step procedure which led us to the final PBPK model
applied to mice, which accounts for the P-gp-mediated
efflux transport in heart, and brain tissues. We first use the
WS model to represent the drug distribution in each tissue.
Then, to account for both passive and active transports, a
mechanistic transport-based (MTB) model is developed for
heart and brain. In order to estimate transport-related
parameters all the while minimizing data fitting, we
developed a method to extrapolate in vitro measurements
of drug permeability of P-gp substrates through endothelial
cells monolayers to the in vivo situation. This allowed the
estimation of those parameters related to apparent passive
and active transport of the drug throug (...truncated)