Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results
We developed a physiologically based pharmacokinetic model of PCB 153 in women, and predict its transfer via lactation to infants. The model is the first human, population-scale lactational model for PCB 153. Data in the literature provided estimates for model development and for performance assessm...
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ftosti:oai:osti.gov:971673 2023-07-30T04:04:31+02:00 Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results Redding, Laurel E. Sohn, Michael D. McKone, Thomas E. Wang, Shu-Li Hsieh, Dennis P. H. Yang, Raymond S. H. 2010-03-08 application/pdf http://www.osti.gov/servlets/purl/971673 https://www.osti.gov/biblio/971673 https://doi.org/10.1289/ehp.11519 unknown http://www.osti.gov/servlets/purl/971673 https://www.osti.gov/biblio/971673 https://doi.org/10.1289/ehp.11519 doi:10.1289/ehp.11519 54 BODY BURDEN DOSIMETRY LACTATION LIPIDS MILK PERFORMANCE SIMULATION STATISTICS 2010 ftosti https://doi.org/10.1289/ehp.11519 2023-07-11T08:48:02Z We developed a physiologically based pharmacokinetic model of PCB 153 in women, and predict its transfer via lactation to infants. The model is the first human, population-scale lactational model for PCB 153. Data in the literature provided estimates for model development and for performance assessment. Physiological parameters were taken from a cohort in Taiwan and from reference values in the literature. We estimated partition coefficients based on chemical structure and the lipid content in various body tissues. Using exposure data in Japan, we predicted acquired body burden of PCB 153 at an average childbearing age of 25 years and compare predictions to measurements from studies in multiple countries. Forward-model predictions agree well with human biomonitoring measurements, as represented by summary statistics and uncertainty estimates. The model successfully describes the range of possible PCB 153 dispositions in maternal milk, suggesting a promising option for back estimating doses for various populations. One example of reverse dosimetry modeling was attempted using our PBPK model for possible exposure scenarios in Canadian Inuits who had the highest level of PCB 153 in their milk in the world. Other/Unknown Material inuits SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Environmental Health Perspectives 116 12 1629 1635 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 BODY BURDEN DOSIMETRY LACTATION LIPIDS MILK PERFORMANCE SIMULATION STATISTICS |
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54 BODY BURDEN DOSIMETRY LACTATION LIPIDS MILK PERFORMANCE SIMULATION STATISTICS Redding, Laurel E. Sohn, Michael D. McKone, Thomas E. Wang, Shu-Li Hsieh, Dennis P. H. Yang, Raymond S. H. Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results |
topic_facet |
54 BODY BURDEN DOSIMETRY LACTATION LIPIDS MILK PERFORMANCE SIMULATION STATISTICS |
description |
We developed a physiologically based pharmacokinetic model of PCB 153 in women, and predict its transfer via lactation to infants. The model is the first human, population-scale lactational model for PCB 153. Data in the literature provided estimates for model development and for performance assessment. Physiological parameters were taken from a cohort in Taiwan and from reference values in the literature. We estimated partition coefficients based on chemical structure and the lipid content in various body tissues. Using exposure data in Japan, we predicted acquired body burden of PCB 153 at an average childbearing age of 25 years and compare predictions to measurements from studies in multiple countries. Forward-model predictions agree well with human biomonitoring measurements, as represented by summary statistics and uncertainty estimates. The model successfully describes the range of possible PCB 153 dispositions in maternal milk, suggesting a promising option for back estimating doses for various populations. One example of reverse dosimetry modeling was attempted using our PBPK model for possible exposure scenarios in Canadian Inuits who had the highest level of PCB 153 in their milk in the world. |
author |
Redding, Laurel E. Sohn, Michael D. McKone, Thomas E. Wang, Shu-Li Hsieh, Dennis P. H. Yang, Raymond S. H. |
author_facet |
Redding, Laurel E. Sohn, Michael D. McKone, Thomas E. Wang, Shu-Li Hsieh, Dennis P. H. Yang, Raymond S. H. |
author_sort |
Redding, Laurel E. |
title |
Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results |
title_short |
Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results |
title_full |
Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results |
title_fullStr |
Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results |
title_full_unstemmed |
Population Physiologically-Based Pharmacokinetic Modeling for the Human Lactational Transfer of PCB 153 with Consideration of Worldwide Human Biomonitoring Results |
title_sort |
population physiologically-based pharmacokinetic modeling for the human lactational transfer of pcb 153 with consideration of worldwide human biomonitoring results |
publishDate |
2010 |
url |
http://www.osti.gov/servlets/purl/971673 https://www.osti.gov/biblio/971673 https://doi.org/10.1289/ehp.11519 |
genre |
inuits |
genre_facet |
inuits |
op_relation |
http://www.osti.gov/servlets/purl/971673 https://www.osti.gov/biblio/971673 https://doi.org/10.1289/ehp.11519 doi:10.1289/ehp.11519 |
op_doi |
https://doi.org/10.1289/ehp.11519 |
container_title |
Environmental Health Perspectives |
container_volume |
116 |
container_issue |
12 |
container_start_page |
1629 |
op_container_end_page |
1635 |
_version_ |
1772816037119524864 |