Literature DB >> 22115405

Modeling and predicting drug pharmacokinetics in patients with renal impairment.

Karen Rowland Yeo1, Mohsen Aarabi, Masoud Jamei, Amin Rostami-Hodjegan.   

Abstract

Current guidance issued by the US FDA to assess the impact of renal impairment on the pharmacokinetics of a drug under development has recently been updated to include evaluation of drugs with nonrenal elimination routes. Renal impairment not only affects elimination of the drug in the kidney, but also the nonrenal route of drugs that are extensively metabolized in the liver. Renal failure may influence hepatic drug metabolism either by inducing or suppressing hepatic enzymes, or by its effects on other variables such as protein binding, hepatic blood flow and accumulation of metabolites. Prior simulation of the potential exposure of individuals with renal impairment may help in the selection of a safe and effective dosage regimen. In this article, we discuss the application of a systems biology approach to simulate drug disposition in subjects with renal impairment.

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Year:  2011        PMID: 22115405     DOI: 10.1586/ecp.10.143

Source DB:  PubMed          Journal:  Expert Rev Clin Pharmacol        ISSN: 1751-2433            Impact factor:   5.045


  53 in total

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4.  A Comprehensive Whole-Body Physiologically Based Pharmacokinetic Model of Dabigatran Etexilate, Dabigatran and Dabigatran Glucuronide in Healthy Adults and Renally Impaired Patients.

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Journal:  Clin Pharmacokinet       Date:  2019-12       Impact factor: 6.447

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Review 6.  Complex Drug-Drug-Gene-Disease Interactions Involving Cytochromes P450: Systematic Review of Published Case Reports and Clinical Perspectives.

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7.  Physiologically Based Pharmacokinetic Model of the CYP2D6 Probe Atomoxetine: Extrapolation to Special Populations and Drug-Drug Interactions.

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Journal:  Drug Metab Dispos       Date:  2017-08-31       Impact factor: 3.922

Review 8.  Towards quantitation of the effects of renal impairment and probenecid inhibition on kidney uptake and efflux transporters, using physiologically based pharmacokinetic modelling and simulations.

Authors:  Vicky Hsu; Manuela de L T Vieira; Ping Zhao; Lei Zhang; Jenny Huimin Zheng; Anna Nordmark; Eva Gil Berglund; Kathleen M Giacomini; Shiew-Mei Huang
Journal:  Clin Pharmacokinet       Date:  2014-03       Impact factor: 6.447

9.  A novel double-tracer technique to characterize absorption, distribution, metabolism and excretion (ADME) of [14C]tofogliflozin after oral administration and concomitant intravenous microdose administration of [13C]tofogliflozin in humans.

Authors:  Dietmar Schwab; Agnes Portron; Zoe Backholer; Berthold Lausecker; Kosuke Kawashima
Journal:  Clin Pharmacokinet       Date:  2013-06       Impact factor: 6.447

10.  Physiologically based pharmacokinetic modelling to predict single- and multiple-dose human pharmacokinetics of bitopertin.

Authors:  Neil Parrott; Dominik Hainzl; Daniela Alberati; Carsten Hofmann; Richard Robson; Bruno Boutouyrie; Meret Martin-Facklam
Journal:  Clin Pharmacokinet       Date:  2013-08       Impact factor: 6.447

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