Development of a dynamic physiologically based mechanistic kidney model to predict renal clearance

W Huang, N Isoherranen - CPT: pharmacometrics & systems …, 2018 - Wiley Online Library
Renal clearance is usually predicted via empirical approaches including quantitative
structure activity relationship and allometric scaling. Recently, mechanistic prediction …

[HTML][HTML] Towards quantitation of the effects of renal impairment and probenecid inhibition on kidney uptake and efflux transporters, using physiologically based …

V Hsu, M de LT Vieira, P Zhao, L Zhang… - Clinical …, 2014 - Springer
Abstract Background and Objectives The kidney is a major drug-eliminating organ. Renal
impairment or concomitant use of transporter inhibitors may decrease active secretion and …

Digoxin pharmacokinetics: role of renal failure in dosage regimen design

JR Koup, WJ Jusko, CM Elwood… - Clinical Pharmacology & …, 1975 - Wiley Online Library
Radioimmunoassayed serum concentration and urinary excretion data for digoxin from
azotemic patients were characterized using a 2‐compartment open model. Urinary excretion …

Dealing with the complex drug–drug interactions: towards mechanistic models

MV Varma, KS Pang, N Isoherranen… - … & drug disposition, 2015 - Wiley Online Library
Unmanageable severe adverse events caused by drug‐drug interactions (DDIs), leading to
market withdrawals or restrictions in the clinical usage, are increasingly avoided with the …

Physiologically‐based pharmacokinetic modelling of creatinine‐drug interactions in the chronic kidney disease population

H Takita, D Scotcher, R Chinnadurai… - CPT …, 2020 - Wiley Online Library
Elevated serum creatinine (SCr) caused by the inhibition of renal transporter (s) may be
misinterpreted as kidney injury. The interpretation is more complicated in patients with …

Utility of quantitative proteomics for enhancing the predictive ability of physiologically based pharmacokinetic models across disease states

S Sharma, D Suresh Ahire… - The Journal of Clinical …, 2020 - Wiley Online Library
Disease states such as liver cirrhosis and chronic kidney disease can lead to altered
pharmacokinetics (PK) of drugs by influencing drug absorption, blood flow to organs, plasma …

Physiologically based and population PK modeling in optimizing drug development: a predict–learn–confirm analysis

A Suri, S Chapel, C Lu… - Clinical Pharmacology & …, 2015 - Wiley Online Library
Physiologically based pharmacokinetic (PBPK) modeling and classical population
pharmacokinetic (PK) model‐based simulations are increasingly used to answer various …

Physiologically‐based pharmacokinetic modeling in renal and hepatic impairment populations: a pharmaceutical industry perspective

T Heimbach, Y Chen, J Chen, V Dixit… - Clinical …, 2021 - Wiley Online Library
The predictive performance of physiologically‐based pharmacokinetics (PBPK) models for
pharmacokinetics (PK) in renal impairment (RI) and hepatic impairment (HI) populations was …

Application of a physiologically based pharmacokinetic model informed by a top-down approach for the prediction of pharmacokinetics in chronic kidney disease …

H Sayama, H Takubo, H Komura, M Kogayu, M Iwaki - The AAPS journal, 2014 - Springer
Quantitative prediction of the impact of chronic kidney disease (CKD) on drug disposition
has become important for the optimal design of clinical studies in patients. In this study …

Variability in P-glycoprotein inhibitory potency (IC50) using various in vitro experimental systems: implications for universal digoxin drug-drug interaction risk …

J Bentz, MP O'Connor, D Bednarczyk… - Drug metabolism and …, 2013 - ASPET
A P-glycoprotein (P-gp) IC50 working group was established with 23 participating
pharmaceutical and contract research laboratories and one academic institution to assess …