Literature DB >> 10514357

Role of P-glycoprotein-mediated secretion in absorptive drug permeability: An approach using passive membrane permeability and affinity to P-glycoprotein.

S Döppenschmitt1, H Spahn-Langguth, C G Regårdh, P Langguth.   

Abstract

It has been shown in vivo and in vitro that P-glycoprotein (P-gp) may be able to influence the permeability of its substrates across biological membranes. However, the quantitative contribution of the secretion process mediated by P-gp on the overall permeability of membranes has not been determined yet. In particular, observations need to be clarified in which substrates showing high affinity to P-glycoprotein, e.g., verapamil, apparently do not seem to be greatly influenced by P-gp in their permeability and consequently also with respect to their extent of GI-absorption after oral administration, whereas weaker substrates of P-gp, e.g., talinolol, have clearly shown P-gp-related absorption phenomena such as nonlinear intestinal permeability and bioavailability. Experiments with Caco-2 cell monolayers and mathematical simulations based on a mechanistic permeation model should aid in clarifying the underlying mechanism for these observations and quantifying the influence of passive membrane permeability and affinity to P-gp to the overall transmembrane drug flux. In addition, the concentration range of drug at which P-glycoprotein-mediated transport across the biological membrane is relevant should be examined. The permeability of various drugs in Caco-2 monolayers was determined experimentally and modeled using a combination of passive absorptive membrane permeability and a Michaelis-Menten-type transport process in the secretory direction. The passive permeabilities were experimentally obtained for the apical and basolateral membrane by efflux experiments using Caco-2 monolayers in the presence of a P-gp inhibitor. The Michaelis-Menten parameters were determined by a newly developed radioligand-binding assay for the quantification of drug affinity to P-gp. The model was able to accurately simulate the permeability of P-glycoprotein substrates, with differing passive membrane permeabilities and P-glycoprotein affinities. Using the outlined approach, permeability vs donor-concentration profiles were calculated, and the relative contribution of passive and active transport processes to the overall membrane permeability was evaluated. A model is presented to quantitatively describe and predict direction-dependent drug fluxes in Caco-2 monolayers by knowing the affinity of a compound to the exsorptive transporter P-gp and its passive membrane permeability. It was shown that a combination of high P-gp affinity with good passive membrane permeability, e.g., in the case of verapamil, will readily compensate for the P-gp-mediated reduction of intestinal permeability, resulting in a narrow range in which the permeability depends on the apical drug concentration. On the other hand, the permeability of compounds with low passive membrane permeability (e. g., talinolol) might be affected over a wide concentration range despite low affinity to P-gp.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10514357     DOI: 10.1021/js980378j

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  27 in total

Review 1.  Coexistence of passive and carrier-mediated processes in drug transport.

Authors:  Kiyohiko Sugano; Manfred Kansy; Per Artursson; Alex Avdeef; Stefanie Bendels; Li Di; Gerhard F Ecker; Bernard Faller; Holger Fischer; Grégori Gerebtzoff; Hans Lennernaes; Frank Senner
Journal:  Nat Rev Drug Discov       Date:  2010-08       Impact factor: 84.694

2.  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

3.  Simulations of the nonlinear dose dependence for substrates of influx and efflux transporters in the human intestine.

Authors:  Michael B Bolger; Viera Lukacova; Walter S Woltosz
Journal:  AAPS J       Date:  2009-05-12       Impact factor: 4.009

4.  Effect of five novel 5-substituted tetrandrine derivatives on P-glycoprotein-mediated inhibition and transport in Caco-2 cells.

Authors:  Zhonglian Cao; Dan Li; Li Liu; Ping Yang
Journal:  Oncol Lett       Date:  2018-09-24       Impact factor: 2.967

5.  Quantitative visualization of passive transport across bilayer lipid membranes.

Authors:  John M A Grime; Martin A Edwards; Nicola C Rudd; Patrick R Unwin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-11       Impact factor: 11.205

6.  Influence of passive permeability on apparent P-glycoprotein kinetics.

Authors:  K A Lentz; J W Polli; S A Wring; J E Humphreys; J E Polli
Journal:  Pharm Res       Date:  2000-12       Impact factor: 4.200

7.  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

8.  Characterization and application of a vinblastine-selected CACO-2 cell line for evaluation of p-glycoprotein.

Authors:  Dennis A Laska; Jack O Houchins; Susan E Pratt; Jeffery Horn; Xialong Xia; Brenda R Hanssen; Daniel C Williams; Anne H Dantzig; Terry Lindstrom
Journal:  In Vitro Cell Dev Biol Anim       Date:  2002 Jul-Aug       Impact factor: 2.416

9.  Pharmacokinetic interaction between oral lovastatin and verapamil in healthy subjects: role of P-glycoprotein inhibition by lovastatin.

Authors:  Dong-Hyun Choi; Joong-Hwa Chung; Jun-Shik Choi
Journal:  Eur J Clin Pharmacol       Date:  2009-12-12       Impact factor: 2.953

10.  In silico model for P-glycoprotein substrate prediction: insights from molecular dynamics and in vitro studies.

Authors:  Rameshwar Prajapati; Udghosh Singh; Abhijeet Patil; Kailas S Khomane; Pravin Bagul; Arvind K Bansal; Abhay T Sangamwar
Journal:  J Comput Aided Mol Des       Date:  2013-04-24       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.