Search from over 60,000 research works

Advanced Search

Physiologically-based pharmacokinetic and toxicokinetic models for estimating human exposure to five toxic elements through oral ingestion

[thumbnail of Open Access]
Preview
1-s2.0-S1382668917303241-main.pdf - Published Version (1MB) | Preview
Available under license: Creative Commons Attribution
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Dede, E., Tindall, M. J., Cherrie, J. W., Hankin, S. and Collins, C. (2018) Physiologically-based pharmacokinetic and toxicokinetic models for estimating human exposure to five toxic elements through oral ingestion. Environmental toxicology and pharmacology, 57. pp. 104-114. ISSN 1872-7077 doi: 10.1016/j.etap.2017.12.003

Abstract/Summary

Biological monitoring and physiologically-based pharmacokinetic (PBPK) modelling are useful complementary tools in quantifying human exposure to elements in the environment. In this work, we used PBPK models to determine the optimal time for collecting biological samples in a longitudinal study to determine if participants who consumed allotment produce had been exposed to arsenic, cadmium, chromium, nickel or lead. There are a number of PBPK models for these elements published in the literature, which vary in size, complexity and application, given the differences in physiochemical properties of the elements, organs involved in metabolism and exposure pathways affected. We selected PBPK models from the literature to simulate the oral ingestion pathway from consumption of allotment produce. Some models required modification by reducing or removing selected compartments whilst still maintaining their original predictability. The performance of the modified models was evaluated by comparing the predicted urinary and blood elemental levels with experimental data and other model simulations published in the literature. Overall, the model predictions were consistent with literature data (r > 0.7, p < 0.05), and were influential in predicting when samples should be collected. Our results demonstrate the use of mathematical modelling in informing and optimising the design of longitudinal studies.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/74623
Item Type Article
Refereed Yes
Divisions Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR)
Interdisciplinary centres and themes > Soil Research Centre
Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Science > School of the Built Environment
Uncontrolled Keywords Allotments, Biomonitoring, Exposure, PBPK model, Toxic elements
Publisher Elsevier
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar