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PRINCIPLES OF TOXICOLOGY

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448 RISK ASSESSMENT<br />

• Estimating Exposures to Dioxin-like Compounds (USEPA 1994)<br />

• Superfund Exposure Assessment Manual (USEPA 1988a)<br />

• Selection Criteria for Mathematical Models Used in Exposure Assessments (USEPA 1988b)<br />

• Standard Scenarios for Estimating Exposure to Chemical Substances During Use of Consumer<br />

Products (USEPA 1986a)<br />

• Pesticide Assessment Guidelines, Subdivisions K and U (USEPA 1984, 1986b)<br />

• Methods for Assessing Exposure to Chemical Substances, Volumes 1–13 (USEPA 1983–<br />

1989)<br />

Once doses have been estimated for all exposure pathways, they can be directly compared to toxicity<br />

constants such as USEPA reference doses (RfDs) and Agency for Toxic Substances and Disease<br />

Registry minimal risk levels (MRLs) to assess noncancer risks, or alternatively, multiplied by cancer<br />

slope factors to obtain an estimate of cancer risk. Another word of caution is in order, however. Toxicity<br />

constants, including cancer slope factors, may be specific for particular exposure routes (MRLs vary<br />

by exposure route and exposure duration) since target organ dose, and for some chemicals the target<br />

organ itself, can be exposure route-dependent. As mechanistic data play a greater role in the risk<br />

assessment process, it is also likely that multiorgan carcinogens will have organ-specific cancer slope<br />

factors in recognition of organ-specific cancer mechanisms and dose–response curves.<br />

While the administered dose and absorbed dose are common dose measures, they do not reflect the<br />

amount of the chemical or its metabolite(s) that ultimately produce the toxic response (except in cases<br />

where chemicals exert their action locally, as in the case of strong acids or bases that produce<br />

dermatotoxicity on contact). The toxic response is more closely linked to the dose in the target tissue<br />

of interest (see Figure 18.2 for a schematic showing the relationships between exposure and various<br />

dose measures). For example, solvent-induced neurobehavioral toxicity may be a function of peak<br />

brain concentration of the parent compound, whereas liver toxicity from the same chemical may be<br />

related to the hepatic tissue concentration of one or more metabolites over time [called the area under<br />

the tissue concentration–time curve (AUC)]. The identification of such internal dose measures that are<br />

mechanistically linked to various toxicities holds promise for improving the risk assessment process.<br />

Figure 18.2 The relationship between exposure and various measures of dose. [From Exposure Factors Handbook,<br />

Vol. 1, General Factors, USEPA (1997).]

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