Page 143 - The Toxicology of Fishes
P. 143

Toxicokinetics in Fishes                                                    123


                        The principal advantage of a PBTK model is that it provides descriptions of the chemical concentration
                       time course in specific tissues of interest. This provides a direct link to studies of toxic effect and in
                       particular to observations for a specific site of action. As an example, numerous studies have suggested
                       that TCDD is highly toxic to fish in early life stages. In wild fish, this exposure occurs following maternal
                       transfer of accumulated residues to the developing ovaries. A PBTK model for the maternal transfer of
                       TCDD was therefore developed to support studies of TCDD embryotoxicity in brook trout (Nichols et
                       al., 1998). A second important use of PBTK models is to evaluate competing assumptions about factors
                       that control chemical uptake and disposition. Nichols et al. (2004a,b), for example, used a PBTK model
                       to investigate factors that control dietary uptake of hydrophobic organic compounds. Based on these
                       studies, it was concluded that a log K -dependent kinetic limitation prevents the gut tissues and contents
                                                   ow
                       from attaining an internal equilibrium. The nature of this limitation remains unknown, but it does not
                       appear to be related to diffusion across the gastrointestinal epithelium. PBTK models can also be used
                       to estimate important kinetic parameters that may be difficult or impossible to determine otherwise.
                       Several examples of this approach appear in the preceding text, including the use of models to solve for
                       biliary elimination rate constants (Bungay et al., 1976; Zaharko et al., 1972),  dermal permeability
                       constants (Nichols et al., 1996), and metabolic rate constants (Law et al., 1991).
                        The utility of PBTK models for fish was demonstrated particularly well by a linked toxicokinetic and
                       toxicodynamic model for paraoxon in rainbow trout (Abbas and Hayton, 1997). Paraoxon is produced
                       in mammals by oxidative metabolism of the insecticide parathion and is a potent inhibitor of acetylcho-
                       linesterase (AChE) and carboxylesterase (CaE). The activation of parathion to paraoxon is thought to
                       be insignificant in trout; however, paraoxon can be formed in aquatic environments by nonenzymatic
                       conversion of parathion and may be available for uptake by fish directly from water. The toxicokinetic
                       portion of this model accurately simulated the uptake of paraoxon from water and its distribution to
                       selected tissues. This information was then combined with experimentally determined rates of AChE
                       and CaE synthesis and degradation, as well as biomolecular inhibition rate constants determined in
                       previous studies with rodents. The linked model successfully reproduced the observed time course of
                       AChE inhibition in each of the tissues examined and confirmed the role of CaE in detoxification of
                       paraoxon by sequestration of active compound (Figure 3.30).
                        Another use of PBTK models is to evaluate the potential for variability among individuals of a single
                       species to impact chemical uptake and disposition. A simple approach to this question was provided by
                       Lien et al. (2001), who simulated the kinetics of three chlorinated ethanes in lake trout using physiological
                       data from individual animals. Simulations for each animal were then plotted to represent the range of
                       anticipated outcomes. Alternatively, statistical distributions for individual model inputs can be character-
                       ized and used in a repeated sampling (Monte Carlo) design to generate a distribution of predicted outcomes.
                       The principal advantage of the former approach is that it explicitly treats the possible interdependence of
                       model parameters. The Monte Carlo approach can be adapted to deal with parameter interdependence.
                       In practice, however, this is difficult because the necessary information is generally lacking.
                        Mammalian PBTK modeling efforts are largely driven by the needs of human health risk assessment
                       and in particular by the need to extrapolate data from laboratory test animals to humans. In this context,
                       it is necessary to consider factors such as aging, health status, and dietary habits that could result in
                       increased vulnerability among a subset of the human population. For fish and other ecological receptors,
                       the principal driving force behind PBTK model development is the need to identify species that, for
                       toxicokinetic or other reasons, may be particularly vulnerable. Simultaneous exposure by multiple routes
                       is common in the environment. PBTK modeling is useful in this regard as it enables modeling of multiple
                       chemical fluxes at all relevant exchange surfaces.
                        The principal disadvantage of using a PBTK modeling approach is that considerable effort is required
                       to develop models for new species and chemicals. Future applications of the PBTK modeling approach
                       will depend on the systematic collection of necessary biological and chemical information, as well as
                       the development of methods for estimating critical parameters when data for a compound and species
                       are limited or absent altogether. Quantitative structure–activity relationship (QSAR) approaches hold
                       particular promise as a means of obtaining tissue partitioning estimates, and perhaps also metabolic rate
                       predictions (McKim and Nichols, 1994; Parham and Portier, 1998; Parham et al., 1997; Poulin and
                       Krishnan, 1996b; Verhaar et al., 1997).
   138   139   140   141   142   143   144   145   146   147   148