Literature DB >> 23876857

PopGen: A virtual human population generator.

Kevin McNally1, Richard Cotton2, Alex Hogg1, George Loizou3.   

Abstract

The risk assessment of environmental chemicals and drugs is moving towards a paradigm shift in approach which seeks the full replacement animal testing with high throughput, mechanistic, in vitro systems. This new vision will be reliant on the measurement in vitro, of concentration-dependent responses where prolonged excessive perturbations of specific biochemical pathways are likely to lead to adverse health effects in an intact organism. Such an approach requires a framework, into which disparate data generated using in vitro, in silico and in chemico systems, can be integrated and utilised for quantitative in vitro-to-in vivo extrapolation (QIVIVE), ultimately to the human population level. Physiologically based pharmacokinetic (PBPK) models are ideally suited for this and are obligatory in order to translate in vitro concentration-response relationships to an exposure or dose, route and duration regime in people. In this report we describe PopGen, a virtual human population generator which is a user friendly, open access web-based application for the prediction of realistic anatomical, physiological and phase 1 metabolic variation in a wide range of healthy human populations. We demonstrate how PopGen can be used for QIVIVE by providing input to a PBPK model, at an appropriate level of detail, to reconstruct exposure from human biomonitoring data. We discuss how the process of exposure reconstruction from blood biomarkers, in general, is analogous to exposure or dose reconstruction from concentration-response measurements made in proposed in vitro cell based systems which are assumed to be surrogates for target organs.
Copyright © 2013. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  PBPK; Population variability; QIVIVE; Reverse dosimetry; Virtual human population generator

Mesh:

Substances:

Year:  2013        PMID: 23876857     DOI: 10.1016/j.tox.2013.07.009

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  13 in total

1.  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 2.  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

3.  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

4.  Methods for evaluating variability in human health dose-response characterization.

Authors:  Daniel A Axelrad; R Woodrow Setzer; Thomas F Bateson; Michael DeVito; Rebecca C Dzubow; Julie W Fitzpatrick; Alicia M Frame; Karen A Hogan; Keith Houck; Michael Stewart
Journal:  Hum Ecol Risk Assess       Date:  2019-11-06       Impact factor: 5.190

5.  Incorporation of stochastic variability in mechanistic population pharmacokinetic models: handling the physiological constraints using normal transformations.

Authors:  Nikolaos Tsamandouras; Thierry Wendling; Amin Rostami-Hodjegan; Aleksandra Galetin; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-05-26       Impact factor: 2.745

Review 6.  Animal-Free Chemical Safety Assessment.

Authors:  George D Loizou
Journal:  Front Pharmacol       Date:  2016-07-21       Impact factor: 5.810

7.  Development of a Whole-Body Physiologically Based Pharmacokinetic Approach to Assess the Pharmacokinetics of Drugs in Elderly Individuals.

Authors:  Jan-Frederik Schlender; Michaela Meyer; Kirstin Thelen; Markus Krauss; Stefan Willmann; Thomas Eissing; Ulrich Jaehde
Journal:  Clin Pharmacokinet       Date:  2016-12       Impact factor: 6.447

8.  Population physiologically-based pharmacokinetic model incorporating lymphatic uptake for a subcutaneously administered pegylated peptide.

Authors:  Elliot Offman; Colin Phipps; Andrea N Edginton
Journal:  In Silico Pharmacol       Date:  2016-03-01

9.  A probabilistic model of human variability in physiology for future application to dose reconstruction and QIVIVE.

Authors:  Kevin McNally; George D Loizou
Journal:  Front Pharmacol       Date:  2015-10-12       Impact factor: 5.810

10.  A Computational Workflow for Probabilistic Quantitative in Vitro to in Vivo Extrapolation.

Authors:  Kevin McNally; Alex Hogg; George Loizou
Journal:  Front Pharmacol       Date:  2018-05-18       Impact factor: 5.810

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