Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation
Joint Authors
Cotton, Richard
Cocker, John
Rick, David
Bartels, Mike
Loizou, George
McNally, Kevin
Jones, Kate
Price, Paul
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-08
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Pharmacy, Health & Medical Sciences
Medicine
Abstract EN
There are numerous biomonitoring programs, both recent and ongoing, to evaluate environmental exposure of humans to chemicals.
Due to the lack of exposure and kinetic data, the correlation of biomarker levels with exposure concentrations leads to difficulty in utilizing biomonitoring data for biological guidance values.
Exposure reconstruction or reverse dosimetry is the retrospective interpretation of external exposure consistent with biomonitoring data.
We investigated the integration of physiologically based pharmacokinetic modelling, global sensitivity analysis, Bayesian inference, and Markov chain Monte Carlo simulation to obtain a population estimate of inhalation exposure to m-xylene.
We used exhaled breath and venous blood m-xylene and urinary 3-methylhippuric acid measurements from a controlled human volunteer study in order to evaluate the ability of our computational framework to predict known inhalation exposures.
We also investigated the importance of model structure and dimensionality with respect to its ability to reconstruct exposure.
American Psychological Association (APA)
McNally, Kevin& Cotton, Richard& Cocker, John& Jones, Kate& Bartels, Mike& Rick, David…[et al.]. 2012. Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation. Journal of Toxicology،Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-496588
Modern Language Association (MLA)
McNally, Kevin…[et al.]. Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation. Journal of Toxicology No. 2012 (2012), pp.1-18.
https://search.emarefa.net/detail/BIM-496588
American Medical Association (AMA)
McNally, Kevin& Cotton, Richard& Cocker, John& Jones, Kate& Bartels, Mike& Rick, David…[et al.]. Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation. Journal of Toxicology. 2012. Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-496588
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496588