title: PopGen: A virtual human population generator.
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.
authors.affiliation: Health & Safety Laboratory, Buxton, Derbyshire, UK.
authors.forename: Kevin
authors.initials: K
authors.lastname: McNally
authors.affiliation: TDL Ltd, Buxton, Derbyshire, UK.
authors.forename: Richard
authors.initials: R
authors.lastname: Cotton
authors.affiliation: Health & Safety Laboratory, Buxton, Derbyshire, UK.
authors.forename: Alex
authors.initials: A
authors.lastname: Hogg
authors.affiliation: Health & Safety Laboratory, Buxton, Derbyshire, UK. Electronic address: george.Loizou@hsl.gsi.gov.uk.
authors.forename: George
authors.initials: G
authors.lastname: Loizou
mesh_terms: D023401:Animal Use Alternatives; D000818:Animals; D015415:Biomarkers / Q000097:blood; D003198:Computer Simulation; D004305:Dose-Response Relationship, Drug; D004781:Environmental Exposure / Q000009:adverse effects*; D005260:Female; D057166:High-Throughput Screening Assays / Q000379:methods; D006801:Humans; D020407:Internet; D008297:Male; D008954:Models, Biological; D018570:Risk Assessment / Q000379:methods; D014584:User-Computer Interface
chemical_list: D015415:Biomarkers
keywords: PBPK; Population variability; QIVIVE; Reverse dosimetry; Virtual human population generator