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Lifetime PCB 153 bioaccumulation and pharmacokinetics in pilot whales: Bayesian population PBPK modeling and Markov chain Monte Carlo simulations.
MedLine Citation:
PMID:  24080004     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Physiologically based pharmacokinetic (PBPK) models for wild animal populations such as marine mammals typically have a high degree of model uncertainty and variability due to the scarcity of information and the embryonic nature of this field. Parameters values used in marine mammals models are usually taken from other mammalian species (e.g. rats or mice) and might not be entirely suitable to properly explain the kinetics of pollutants in marine mammals. Therefore, several parameters for a PBPK model for the bioaccumulation and pharmacokinetics of PCB 153 in long-finned pilot whales were estimated in the present study using the Bayesian approach executed with Markov chain Monte Carlo (MCMC) simulations. This method uses 'prior' information of the parameters, either from the literature or from previous model runs. The advantage is that this method uses such 'prior' parameters to calculate probability distributions to determine 'posterior' values that best explain the field observations. Those field observations or datasets were PCB 153 concentrations in blubber of long-finned pilot whales from Sandy Cape and Stanley, Tasmania, Australia. The model predictions showed an overall decrease in PCB 153 levels in blubber over the lifetime of the pilot whales. All parameters from the Sandy Cape model were updated using the Stanley dataset, except for the concentration of PCB 153 in the milk. The model presented here is a promising and preliminary start to PBPK modeling in long-finned pilot whales that would provide a basis for non-invasive studies in these protected marine mammals.
Authors:
Liesbeth Weijs; Anthony C Roach; Raymond S H Yang; Robin McDougall; Michael Lyons; Conrad Housand; Detlef Tibax; Therese Manning; John Chapman; Katelyn Edge; Adrian Covaci; Ronny Blust
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-9-27
Journal Detail:
Title:  Chemosphere     Volume:  -     ISSN:  1879-1298     ISO Abbreviation:  Chemosphere     Publication Date:  2013 Sep 
Date Detail:
Created Date:  2013-10-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0320657     Medline TA:  Chemosphere     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium; Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium. Electronic address: liesbeth.weijs@ua.ac.be.
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