2010
DOI: 10.1016/j.taap.2009.10.019
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A physiologically based pharmacokinetic model for developmental exposure to BDE-47 in rats

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Cited by 43 publications
(34 citation statements)
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“…This type of modelling, of course, is restricted to PBDE exposure at the level of the whole body. In order to allow more refined kinetic modelling for developmental exposure Emond et al (2010) developed a PBPK model for BDE-47 in the rat. Next to an absorption compartment the PBPK model consisted of the following eight compartments: brain, liver, adipose tissue, kidney, placenta, the fetus, the blood and a remaining compartment ("rest of the body").…”
Section: Physiologically Based Pharmacokinetic (Pbpk) Modellingmentioning
confidence: 99%
“…This type of modelling, of course, is restricted to PBDE exposure at the level of the whole body. In order to allow more refined kinetic modelling for developmental exposure Emond et al (2010) developed a PBPK model for BDE-47 in the rat. Next to an absorption compartment the PBPK model consisted of the following eight compartments: brain, liver, adipose tissue, kidney, placenta, the fetus, the blood and a remaining compartment ("rest of the body").…”
Section: Physiologically Based Pharmacokinetic (Pbpk) Modellingmentioning
confidence: 99%
“…An existing PBPK model developed for the rat did not accurately describe the urinary elimination of BDE-47 in mice (Emond et al 2010). As such, this model was used as the basis for the model applied in the current study, but was modified to evaluate two transporters (i.e., m-MUP and P-gp) in the excretion of BDE-47 in mice.…”
Section: Methodsmentioning
confidence: 99%
“…When comparing the disposition and elimination of BDE-47 in rats and mice, Sanders et al (2006a) noted that internal dose and excretion patterns were different. Emond et al (2010) recently described the kinetic behavior of BDE-47 in rats using a physiologically based pharmacokinetic (PBPK) model. The distribution of BDE-47 is dose dependent in rats and driven by the compound’s high lipophilicity.…”
Section: Introductionmentioning
confidence: 99%
“…Sensitivity analyses can be "local" or "global". During a local sensitivity analysis (LSA), the model predictions are judged against pre-defined changes of for example 1%, 2% or 5% in each separate parameter value and expressed in, for instance, area under the curve (AUC) of the model values [52]. In a global sensitivity analysis (GSA), however, all model parameters vary in pre-defined ranges and their relative influence on the model output is assessed [53].…”
Section: Equationsmentioning
confidence: 99%