Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises
peer reviewed Physiologically based pharmacokinetic (PBPK) modeling in marine mammals is a challenge because of the lack of parameter information and the ban on exposure experiments. To minimize uncertainty and variability, parameter estimation methods are required for the development of reliable PB...
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Online Access: | https://orbi.uliege.be/handle/2268/149301 https://doi.org/10.1021/es400386a |
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ftorbi:oai:orbi.ulg.ac.be:2268/149301 2024-11-10T14:39:19+00:00 Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises Weijs, Liesbeth Yang, Raymond S.H. Das, Krishna Covaci, Adrian Blust, Ronny MARE - Centre Interfacultaire de Recherches en Océanologie - ULiège 2013 https://orbi.uliege.be/handle/2268/149301 https://doi.org/10.1021/es400386a en eng American Chemical Society urn:issn:0013-936X urn:issn:1520-5851 https://orbi.uliege.be/handle/2268/149301 info:hdl:2268/149301 doi:10.1021/es400386a info:pmid:23560461 restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess Environmental Science and Technology, 47, 4365-4374 (2013) marine mammals pollutants harbour porpoise DDT Phocoena phocoena PBPK physiologically based pharmacokinetic modeling Black Sea Life sciences Aquatic sciences & oceanology Sciences du vivant Sciences aquatiques & océanologie journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2013 ftorbi https://doi.org/10.1021/es400386a 2024-10-21T15:24:54Z peer reviewed Physiologically based pharmacokinetic (PBPK) modeling in marine mammals is a challenge because of the lack of parameter information and the ban on exposure experiments. To minimize uncertainty and variability, parameter estimation methods are required for the development of reliable PBPK models. The present study is the first to develop PBPK models for the lifetime bioaccumulation of p,p′-DDT, p,p′-DDE, and p,p′- DDD in harbor porpoises. In addition, this study is also the first to apply the Bayesian approach executed with Markov chain Monte Carlo simulations using two data sets of harbor porpoises from the Black and North Seas. Parameters from the literature were used as priors for the first “model update” using the Black Sea data set, the resulting posterior parameters were then used as priors for the second “model update” using the North Sea data set. As such, PBPK models with parameters specific for harbor porpoises could be strengthened with more robust probability distributions. As the science and biomonitoring effort progress in this area, more data sets will become available to further strengthen and update the parameters in the PBPK models for harbor porpoises as a species anywhere in the world. Further, such an approach could very well be extended to other protected marine mammals. Article in Journal/Newspaper Harbour porpoise Phocoena phocoena University of Liège: ORBi (Open Repository and Bibliography) Environmental Science & Technology 47 9 4365 4374 |
institution |
Open Polar |
collection |
University of Liège: ORBi (Open Repository and Bibliography) |
op_collection_id |
ftorbi |
language |
English |
topic |
marine mammals pollutants harbour porpoise DDT Phocoena phocoena PBPK physiologically based pharmacokinetic modeling Black Sea Life sciences Aquatic sciences & oceanology Sciences du vivant Sciences aquatiques & océanologie |
spellingShingle |
marine mammals pollutants harbour porpoise DDT Phocoena phocoena PBPK physiologically based pharmacokinetic modeling Black Sea Life sciences Aquatic sciences & oceanology Sciences du vivant Sciences aquatiques & océanologie Weijs, Liesbeth Yang, Raymond S.H. Das, Krishna Covaci, Adrian Blust, Ronny Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises |
topic_facet |
marine mammals pollutants harbour porpoise DDT Phocoena phocoena PBPK physiologically based pharmacokinetic modeling Black Sea Life sciences Aquatic sciences & oceanology Sciences du vivant Sciences aquatiques & océanologie |
description |
peer reviewed Physiologically based pharmacokinetic (PBPK) modeling in marine mammals is a challenge because of the lack of parameter information and the ban on exposure experiments. To minimize uncertainty and variability, parameter estimation methods are required for the development of reliable PBPK models. The present study is the first to develop PBPK models for the lifetime bioaccumulation of p,p′-DDT, p,p′-DDE, and p,p′- DDD in harbor porpoises. In addition, this study is also the first to apply the Bayesian approach executed with Markov chain Monte Carlo simulations using two data sets of harbor porpoises from the Black and North Seas. Parameters from the literature were used as priors for the first “model update” using the Black Sea data set, the resulting posterior parameters were then used as priors for the second “model update” using the North Sea data set. As such, PBPK models with parameters specific for harbor porpoises could be strengthened with more robust probability distributions. As the science and biomonitoring effort progress in this area, more data sets will become available to further strengthen and update the parameters in the PBPK models for harbor porpoises as a species anywhere in the world. Further, such an approach could very well be extended to other protected marine mammals. |
author2 |
MARE - Centre Interfacultaire de Recherches en Océanologie - ULiège |
format |
Article in Journal/Newspaper |
author |
Weijs, Liesbeth Yang, Raymond S.H. Das, Krishna Covaci, Adrian Blust, Ronny |
author_facet |
Weijs, Liesbeth Yang, Raymond S.H. Das, Krishna Covaci, Adrian Blust, Ronny |
author_sort |
Weijs, Liesbeth |
title |
Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises |
title_short |
Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises |
title_full |
Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises |
title_fullStr |
Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises |
title_full_unstemmed |
Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises |
title_sort |
application of bayesian population physiologically based pharmacokinetic (pbpk) modeling and markov chain monte carlo simulations to pesticide kinetics studies in protected marine mammals: ddt, dde, and ddd in harbor porpoises |
publisher |
American Chemical Society |
publishDate |
2013 |
url |
https://orbi.uliege.be/handle/2268/149301 https://doi.org/10.1021/es400386a |
genre |
Harbour porpoise Phocoena phocoena |
genre_facet |
Harbour porpoise Phocoena phocoena |
op_source |
Environmental Science and Technology, 47, 4365-4374 (2013) |
op_relation |
urn:issn:0013-936X urn:issn:1520-5851 https://orbi.uliege.be/handle/2268/149301 info:hdl:2268/149301 doi:10.1021/es400386a info:pmid:23560461 |
op_rights |
restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1021/es400386a |
container_title |
Environmental Science & Technology |
container_volume |
47 |
container_issue |
9 |
container_start_page |
4365 |
op_container_end_page |
4374 |
_version_ |
1815350516190806016 |