Using a pharmacokinetic model to interpret biomonitoring data of PBDEs in the Australian population
Gyalpo, T, Toms, L-M, Mueller, J, Scheringer, M, & Hungerbuhler, K (2012) Using a pharmacokinetic model to interpret biomonitoring data of PBDEs in the Australian population. In Mueller, Jochen & Gaus, Caroline (Eds.) International Symposium of Halogenated Persistent Organic Pollutants, 26-31 August 2012, Cairns, Australia.
From human biomonitoring data that are increasingly collected in the United States, Australia, and in other countries from large-scale field studies, we obtain snap-shots of concentration levels of various persistent organic pollutants (POPs) within a cross section of the population at different times. Not only can we observe the trends within this population with time, but we can also gain information going beyond the obvious time trends. By combining the biomonitoring data with pharmacokinetic modeling, we can re-construct the time-variant exposure to individual POPs, determine their intrinsic elimination half-lives in the human body, and predict future levels of POPs in the population.
Different approaches have been employed to extract information from human biomonitoring data. Pharmacokinetic (PK) models were combined with longitudinal data1, with single2 or multiple3 average concentrations of a cross-sectional data (CSD), or finally with multiple CSD with or without empirical exposure data4. In the latter study, for the first time, the authors based their modeling outputs on two sets of CSD and empirical exposure data, which made it possible that their model outputs were further constrained due to the extensive body of empirical measurements.
Here we use a PK model to analyze recent levels of PBDE concentrations measured in the Australian population. In this study, we are able to base our model results on four sets5-7 of CSD; we focus on two PBDE congeners that have been shown3,5,8-9 to differ in intake rates and half-lives with BDE-47 being associated with high intake rates and a short half-life and BDE-153 with lower intake rates and a longer half-life. By fitting the model to PBDE levels measured in different age groups in different years, we determine the level of intake of BDE-47 and BDE-153, as well as the half-lives of these two chemicals in the Australian population.
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|Item Type:||Conference Paper|
|Additional Information:||This conference paper was published in Volume 74 of The Organohalogen Compounds Database, pages 1063-1066.|
|Keywords:||biomonitoring, PBDEs, Australia|
|Subjects:||Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Monitoring (050206)|
|Divisions:||Current > Schools > School of Clinical Sciences
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2012 Please consult the authors.|
|Deposited On:||07 Mar 2013 00:20|
|Last Modified:||01 Apr 2013 16:58|
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