TY - JOUR
T1 - A Novel Multispecies Toxicokinetic Modeling Approach in Support of Chemical Risk Assessment
AU - Mangold-Döring, Annika
AU - Grimard, Chelsea
AU - Green, Derek
AU - Petersen, Stephanie
AU - Nichols, John W.
AU - Hogan, Natacha
AU - Weber, Lynn
AU - Hollert, Henner
AU - Hecker, Markus
AU - Brinkmann, Markus
PY - 2021/6/24
Y1 - 2021/6/24
N2 - Standardized laboratory tests with a limited number of model species are a key component of chemical risk assessments. These surrogate species cannot represent the entire diversity of native species, but there are practical and ethical objections against testing chemicals in a large variety of species. In previous research, we have developed a multispecies toxicokinetic model to extrapolate chemical bioconcentration across species by combining single-species physiologically based toxicokinetic (PBTK) models. This "top-down"approach was limited, however, by the availability of fully parameterized single-species models. Here, we present a "bottom-up"multispecies PBTK model based on available data from 69 freshwater fishes found in Canada. Monte Carlo-like simulations were performed using statistical distributions of model parameters derived from these data to predict steady-state bioconcentration factors (BCFs) for a set of well-studied chemicals. The distributions of predicted BCFs for 1,4-dichlorobenzene and dichlorodiphenyltrichloroethane largely overlapped those of empirical data, although a tendency existed toward overestimation of measured values. When expressed as means, predicted BCFs for 26 of 34 chemicals (82%) deviated by less than 10-fold from measured data, indicating an accuracy similar to that of previously published single-species models. This new model potentially enables more environmentally relevant predictions of bioconcentration in support of chemical risk assessments.
AB - Standardized laboratory tests with a limited number of model species are a key component of chemical risk assessments. These surrogate species cannot represent the entire diversity of native species, but there are practical and ethical objections against testing chemicals in a large variety of species. In previous research, we have developed a multispecies toxicokinetic model to extrapolate chemical bioconcentration across species by combining single-species physiologically based toxicokinetic (PBTK) models. This "top-down"approach was limited, however, by the availability of fully parameterized single-species models. Here, we present a "bottom-up"multispecies PBTK model based on available data from 69 freshwater fishes found in Canada. Monte Carlo-like simulations were performed using statistical distributions of model parameters derived from these data to predict steady-state bioconcentration factors (BCFs) for a set of well-studied chemicals. The distributions of predicted BCFs for 1,4-dichlorobenzene and dichlorodiphenyltrichloroethane largely overlapped those of empirical data, although a tendency existed toward overestimation of measured values. When expressed as means, predicted BCFs for 26 of 34 chemicals (82%) deviated by less than 10-fold from measured data, indicating an accuracy similar to that of previously published single-species models. This new model potentially enables more environmentally relevant predictions of bioconcentration in support of chemical risk assessments.
KW - bioaccumulation
KW - cross-species extrapolation
KW - database development
KW - PBTK model
KW - physiologically based toxicokinetic model
U2 - 10.1021/acs.est.1c02055
DO - 10.1021/acs.est.1c02055
M3 - Article
C2 - 34165962
AN - SCOPUS:85110356513
SN - 0013-936X
VL - 55
SP - 9109
EP - 9118
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 13
ER -