Literature DB >> 22954170

An improved model to predict physiologically based model parameters and their inter-individual variability from anthropometry.

Sieto Bosgra1, Jan van Eijkeren, Peter Bos, Marco Zeilmaker, Wout Slob.   

Abstract

We developed a population physiology model, physB, which provides a statistical description of the physiological characteristics in the human population, in terms of the physiological parameters that are needed in physiologically based pharmacokinetic modelling. The model predicts individual organ weights, blood flows and some respiratory parameters from anthropometric properties (body height and weight, age and gender). It draws on two existing models, PK-Pop and P(3)M, but various changes and improvements were made. The conceptual differences among the three models are discussed and they are quantitatively compared by running all three models for various specific combinations of anthropometric properties.

Entities:  

Mesh:

Year:  2012        PMID: 22954170     DOI: 10.3109/10408444.2012.709225

Source DB:  PubMed          Journal:  Crit Rev Toxicol        ISSN: 1040-8444            Impact factor:   5.635


  28 in total

1.  To Apply Microdosing or Not? Recommendations to Single Out Compounds with Non-Linear Pharmacokinetics.

Authors:  Sieto Bosgra; Maria L H Vlaming; Wouter H J Vaes
Journal:  Clin Pharmacokinet       Date:  2016-01       Impact factor: 6.447

2.  Ethnic-specific in vitro-in vivo extrapolation and physiologically based pharmacokinetic approaches to predict cytochrome P450-mediated pharmacokinetics in the Chinese population: opportunities and challenges.

Authors:  Guo-Fu Li; Guo Yu; Hong-Xia Liu; Qing-Shan Zheng
Journal:  Clin Pharmacokinet       Date:  2014-02       Impact factor: 6.447

3.  Predicting Drug-Drug Interactions Between Rifampicin and Long-Acting Cabotegravir and Rilpivirine Using Physiologically Based Pharmacokinetic Modeling.

Authors:  Rajith K R Rajoli; Paul Curley; Justin Chiong; David Back; Charles Flexner; Andrew Owen; Marco Siccardi
Journal:  J Infect Dis       Date:  2019-05-05       Impact factor: 5.226

4.  Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.

Authors:  Caroline L Ring; Robert G Pearce; R Woodrow Setzer; Barbara A Wetmore; John F Wambaugh
Journal:  Environ Int       Date:  2017-06-16       Impact factor: 9.621

Review 5.  Similarities and differences in gastrointestinal physiology between neonates and adults: a physiologically based pharmacokinetic modeling perspective.

Authors:  Guo Yu; Qing-Shan Zheng; Guo-Fu Li
Journal:  AAPS J       Date:  2014-09-03       Impact factor: 4.009

6.  Predicting Pharmacokinetics of a Tenofovir Alafenamide Subcutaneous Implant Using Physiologically Based Pharmacokinetic Modelling.

Authors:  Rajith K R Rajoli; Zach R Demkovich; Charles Flexner; Andrew Owen; Marco Siccardi
Journal:  Antimicrob Agents Chemother       Date:  2020-07-22       Impact factor: 5.191

7.  Physiologically based pharmacokinetic modelling prediction of the effects of dose adjustment in drug-drug interactions between levonorgestrel contraceptive implants and efavirenz-based ART.

Authors:  Owain Roberts; Rajith K R Rajoli; David J Back; Andrew Owen; Kristin M Darin; Courtney V Fletcher; Mohammed Lamorde; Kimberly K Scarsi; Marco Siccardi
Journal:  J Antimicrob Chemother       Date:  2018-04-01       Impact factor: 5.790

8.  Efavirenz Is Predicted To Accumulate in Brain Tissue: an In Silico, In Vitro, and In Vivo Investigation.

Authors:  Paul Curley; Rajith K R Rajoli; Darren M Moss; Neill J Liptrott; Scott Letendre; Andrew Owen; Marco Siccardi
Journal:  Antimicrob Agents Chemother       Date:  2016-12-27       Impact factor: 5.191

9.  Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization.

Authors:  John F Wambaugh; Barbara A Wetmore; Caroline L Ring; Chantel I Nicolas; Robert G Pearce; Gregory S Honda; Roger Dinallo; Derek Angus; Jon Gilbert; Teresa Sierra; Akshay Badrinarayanan; Bradley Snodgrass; Adam Brockman; Chris Strock; R Woodrow Setzer; Russell S Thomas
Journal:  Toxicol Sci       Date:  2019-12-01       Impact factor: 4.849

10.  Physiologically Based Pharmacokinetic Modeling to Predict Drug-Drug Interactions with Efavirenz Involving Simultaneous Inducing and Inhibitory Effects on Cytochromes.

Authors:  Catia Marzolini; Rajith Rajoli; Manuel Battegay; Luigia Elzi; David Back; Marco Siccardi
Journal:  Clin Pharmacokinet       Date:  2017-04       Impact factor: 6.447

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.