Literature DB >> 27019345

Metformin and cimetidine: Physiologically based pharmacokinetic modelling to investigate transporter mediated drug-drug interactions.

H J Burt1, S Neuhoff2, L Almond3, L Gaohua4, M D Harwood5, M Jamei6, A Rostami-Hodjegan7, G T Tucker8, K Rowland-Yeo9.   

Abstract

Metformin is used as a probe for OCT2 mediated transport when investigating possible DDIs with new chemical entities. The aim of the current study was to investigate the ability of physiologically-based pharmacokinetic (PBPK) models to simulate the effects of OCT and MATE inhibition by cimetidine on metformin kinetics. PBPK models were developed, incorporating mechanistic kidney and liver sub-models for metformin (OCT and MATE substrate) and a mechanistic kidney sub-model for cimetidine. The models were used to simulate inhibition of the MATE1, MATE2-K, OCT1 and OCT2 mediated transport of metformin by cimetidine. Assuming competitive inhibition and using cimetidine Ki values determined in vitro, the predicted metformin AUC ratio was 1.0 compared to an observed value of 1.46. The observed AUC ratio could only be recovered with this model when the cimetidine Ki for OCT2 was decreased 1000-fold or the Ki's for both OCT1 and OCT2 were decreased 500-fold. An alternative description of metformin renal transport by OCT1 and OCT2, incorporating electrochemical modulation of the rate of metformin uptake together with 8-18-fold decreases in cimetidine Ki's for OCTs and MATEs, allowed recovery of the extent of the observed effect of cimetidine on metformin AUC. While the final PBPK model has limitations, it demonstrates the benefit of allowing for the complexities of passive permeability combined with active cellular uptake modulated by an electrochemical gradient and active efflux.
Copyright © 2016 Simcyp Limited. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drug transporters; Drug–drug interactions; IVIVE; PBPK

Mesh:

Substances:

Year:  2016        PMID: 27019345     DOI: 10.1016/j.ejps.2016.03.020

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  34 in total

1.  Correlation between Apparent Substrate Affinity and OCT2 Transport Turnover.

Authors:  Alyscia Cory Severance; Philip J Sandoval; Stephen H Wright
Journal:  J Pharmacol Exp Ther       Date:  2017-06-14       Impact factor: 4.030

Review 2.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part I: In Vitro Systems and Physiological Data.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  AAPS J       Date:  2016-06-30       Impact factor: 4.009

3.  Physiologically Based Pharmacokinetic Modeling of Transporter-Mediated Hepatic Clearance and Liver Partitioning of OATP and OCT Substrates in Cynomolgus Monkeys.

Authors:  Bridget L Morse; Jamus G MacGuire; Anthony M Marino; Yue Zhao; Maxine Fox; Yueping Zhang; Hong Shen; W Griffith Humphreys; Punit Marathe; Yurong Lai
Journal:  AAPS J       Date:  2017-10-10       Impact factor: 4.009

4.  Physiologically Based Pharmacokinetic (PBPK) Modeling of Pitavastatin and Atorvastatin to Predict Drug-Drug Interactions (DDIs).

Authors:  Peng Duan; Ping Zhao; Lei Zhang
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-08       Impact factor: 2.441

5.  Physiologically Based Pharmacokinetic Modelling and Prediction of Metformin Pharmacokinetics in Renal/Hepatic-Impaired Young Adults and Elderly Populations.

Authors:  Su-Jin Rhee; Hyewon Chung; SoJeong Yi; Kyung-Sang Yu; Jae-Yong Chung
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-12       Impact factor: 2.441

6.  Prediction of the Effects of Renal Impairment on Clearance for Organic Cation Drugs that Undergo Renal Secretion: A Simulation-Based Study.

Authors:  Kristin E Follman; Marilyn E Morris
Journal:  Drug Metab Dispos       Date:  2018-02-28       Impact factor: 3.922

7.  Advancing Predictions of Tissue and Intracellular Drug Concentrations Using In Vitro, Imaging and Physiologically Based Pharmacokinetic Modeling Approaches.

Authors:  Yingying Guo; Xiaoyan Chu; Neil J Parrott; Kim L R Brouwer; Vicky Hsu; Swati Nagar; Pär Matsson; Pradeep Sharma; Jan Snoeys; Yuichi Sugiyama; Daniel Tatosian; Jashvant D Unadkat; Shiew-Mei Huang; Aleksandra Galetin
Journal:  Clin Pharmacol Ther       Date:  2018-09-12       Impact factor: 6.875

Review 8.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-08-09       Impact factor: 4.009

9.  The Importance of Incorporating OCT2 Plasma Membrane Expression and Membrane Potential in IVIVE of Metformin Renal Secretory Clearance.

Authors:  Vineet Kumar; Jia Yin; Sarah Billington; Bhagwat Prasad; Colin D A Brown; Joanne Wang; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2018-08-09       Impact factor: 3.922

10.  Hepatic Transporter Alterations by Nuclear Receptor Agonist T0901317 in Sandwich-Cultured Human Hepatocytes: Proteomic Analysis and PBPK Modeling to Evaluate Drug-Drug Interaction Risk.

Authors:  Katsuaki Ito; Noora Sjöstedt; Melina M Malinen; Cen Guo; Kim L R Brouwer
Journal:  J Pharmacol Exp Ther       Date:  2020-03-03       Impact factor: 4.030

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.