TOXICOLOGICAL PROFILE FOR CHROMIUM - Davidborowski.com
TOXICOLOGICAL PROFILE FOR CHROMIUM - Davidborowski.com TOXICOLOGICAL PROFILE FOR CHROMIUM - Davidborowski.com
CHROMIUM 1542. HEALTH EFFECTS2.3.5 Physiologically based Pharmacokinetic (PBPK)/Pharmacodynamic (PD) ModelsPhysiologically based pharmacokinetic (PBPK) models use mathematical descriptions of the uptake anddisposition of chemical substances to quantitatively describe the relationships among critical biologicalprocesses (Krishnan et al. 1994). PBPK models are also called biologically based tissue dosimetrymodels. PBPK models are increasingly used in risk assessments, primarily to predict the concentration ofpotentially toxic moieties of a chemical that will be delivered to any given target tissue following variouscombinations of route, dose level, and test species (Clewell and Andersen 1985). Physiologically basedpharmacodynamic (PBPD) models use mathematical descriptions of the dose-response function toquantitatively describe the relationship between target tissue dose and toxic end points.PBPK/PD models refine our understanding of complex quantitative dose behaviors by helping todelineate and characterize the relationships between: (1) the external/exposure concentration and targettissue dose of the toxic moiety, and (2) the target tissue dose and observed responses (Andersen et al.1987; Andersen and Krishnan 1994). These models are biologically and mechanistically based and canbe used to extrapolate the pharmacokinetic behavior of chemical substances from high to low dose, fromroute to route, between species, and between subpopulations within a species. The biological basis ofPBPK models results in more meaningful extrapolations than those generated with the more conventionaluse of uncertainty factors.The PBPK model for a chemical substance is developed in four interconnected steps: (1) modelrepresentation, (2) model parametrization, (3) model simulation, and (4) model validation (Krishnan andAndersen 1994). In the early 1990s, validated PBPK models were developed for a number oftoxicologically important chemical substances, both volatile and nonvolatile (Krishnan and Andersen1994; Leung 1993). PBPK models for a particular substance require estimates of the chemical substancespecificphysicochemical parameters, and species-specific physiological and biological parameters. Thenumerical estimates of these model parameters are incorporated within a set of differential and algebraicequations that describe the pharmacokinetic processes. Solving these differential and algebraic equationsprovides the predictions of tissue dose. Computers then provide process simulations based on thesesolutions.The structure and mathematical expressions used in PBPK models significantly simplify the truecomplexities of biological systems. If the uptake and disposition of the chemical substance(s) isadequately described, however, this simplification is desirable because data are often unavailable for
CHROMIUM 1552. HEALTH EFFECTSmany biological processes. A simplified scheme reduces the magnitude of cumulative uncertainty. Theadequacy of the model is, therefore, of great importance, and model validation is essential to the use ofPBPK models in risk assessment.PBPK models improve the pharmacokinetic extrapolations used in risk assessments that identify themaximal (i.e., the safe) levels for human exposure to chemical substances (Andersen and Krishnan 1994).PBPK models provide a scientifically sound means to predict the target tissue dose of chemicals inhumans who are exposed to environmental levels (for example, levels that might occur at hazardous wastesites) based on the results of studies where doses were higher or were administered in different species.Figure 2-3 shows a conceptualized representation of a PBPK model.If PBPK models for chromium exist, the overall results and individual models are discussed in thissection in terms of their use in risk assessment, tissue dosimetry, and dose, route, and speciesextrapolations.PBPK models for chromium are discussed below.2.3.5.1 Summary of PBPK Models.One PBPK model for chromium has been published. The O’Flaherty model (O’Flaherty 1993a, 1996)simulates the absorption, distribution, metabolism, elimination, and excretion of chromium(III) andchromium(VI) compounds in the rat. Two kinetic models describing the distribution and clearance ofchromium(III) compounds in humans are described at the end of this section.2.3.5.2 Chromium PBPK Model Comparison.The O’Flaherty model is the only PBPK model available for chromium.
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<strong>CHROMIUM</strong> 1542. HEALTH EFFECTS2.3.5 Physiologically based Pharmacokinetic (PBPK)/Pharmacodynamic (PD) ModelsPhysiologically based pharmacokinetic (PBPK) models use mathematical descriptions of the uptake anddisposition of chemical substances to quantitatively describe the relationships among critical biologicalprocesses (Krishnan et al. 1994). PBPK models are also called biologically based tissue dosimetrymodels. PBPK models are increasingly used in risk assessments, primarily to predict the concentration ofpotentially toxic moieties of a chemical that will be delivered to any given target tissue following various<strong>com</strong>binations of route, dose level, and test species (Clewell and Andersen 1985). Physiologically basedpharmacodynamic (PBPD) models use mathematical descriptions of the dose-response function toquantitatively describe the relationship between target tissue dose and toxic end points.PBPK/PD models refine our understanding of <strong>com</strong>plex quantitative dose behaviors by helping todelineate and characterize the relationships between: (1) the external/exposure concentration and targettissue dose of the toxic moiety, and (2) the target tissue dose and observed responses (Andersen et al.1987; Andersen and Krishnan 1994). These models are biologically and mechanistically based and canbe used to extrapolate the pharmacokinetic behavior of chemical substances from high to low dose, fromroute to route, between species, and between subpopulations within a species. The biological basis ofPBPK models results in more meaningful extrapolations than those generated with the more conventionaluse of uncertainty factors.The PBPK model for a chemical substance is developed in four interconnected steps: (1) modelrepresentation, (2) model parametrization, (3) model simulation, and (4) model validation (Krishnan andAndersen 1994). In the early 1990s, validated PBPK models were developed for a number oftoxicologically important chemical substances, both volatile and nonvolatile (Krishnan and Andersen1994; Leung 1993). PBPK models for a particular substance require estimates of the chemical substancespecificphysicochemical parameters, and species-specific physiological and biological parameters. Thenumerical estimates of these model parameters are incorporated within a set of differential and algebraicequations that describe the pharmacokinetic processes. Solving these differential and algebraic equationsprovides the predictions of tissue dose. Computers then provide process simulations based on thesesolutions.The structure and mathematical expressions used in PBPK models significantly simplify the true<strong>com</strong>plexities of biological systems. If the uptake and disposition of the chemical substance(s) isadequately described, however, this simplification is desirable because data are often unavailable for