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PRINCIPLES OF TOXICOLOGY

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After all, it is commonly assumed in interspecies extrapolation that the target tissue dose required to produce<br />

a biological effect of a given intensity is quantitatively equivalent across species. Therefore, dose–response<br />

curves generated with measures of target tissue dose should be readily extrapolatable across species<br />

since they obviate the need for consideration of interspecies differences in the toxicokinetics of an<br />

administered dose. Unfortunately, dose–response curves of this nature are rare primarily because of<br />

the technical difficulties inherent in internal dose measurement. This is likely to change, however, as<br />

advancements are made in analytical chemistry and physiologically based pharmacokinetic (PBPK)<br />

models find their way into the mainstream. Such models are powerful tools with which to estimate<br />

internal dose measures from an endless variety of exposure scenarios to physiologically diverse<br />

receptors. As such, they are particularly valuable for the purpose of interspecies extrapolation.<br />

Biological monitoring is another means of exposure assessment. When it is conducted to measure<br />

a chemical or its metabolites in the urine, blood, or tissue (including hair and fingernails) of an exposed<br />

individual, the chemical and its metabolites are referred to as biomarkers of exposure. Other potential<br />

biomarkers include DNA and protein adducts, mutations, chromosomal aberrations, genes that have<br />

undergone induction, and a host of other “early” cellular or subcellular events thought to link exposure<br />

and effect. The characterization and quantification of these latter biomarkers is known as molecular<br />

dosimetry. If found to be correlated with susceptibility, exposure, and effect, these biomarkers could<br />

considerably alter conventional approaches to risk assessment. Perhaps the best known example of<br />

such a correlation is urinary aflatoxin-DNA adducts and liver cancer. While molecular dosimetry holds<br />

promise for risk assessment, it is yet to be developed well enough for routine application.<br />

Despite advancements in analytical chemistry, mathematical modeling, and biomonitoring, exposure<br />

assessment remains a challenge. It is important to realize that most exposure assessments result<br />

in estimates rather than definitive values. This stems in part from the fact that site- or situation-specific<br />

values are rarely available for all of the input variables necessary to calculate exposure. Despite the<br />

challenge, efforts should continue toward conducting exposure assessments that reflect realistic<br />

exposures, rather than worst-case scenarios to which no one is exposed. The identification of the dose<br />

metric that best correlates with various toxicities should also be a priority. Since this depends on a<br />

thorough knowledge of a chemical’s mode of action, advancement in exposure assessment is inextricably<br />

linked to advances in toxicology.<br />

18.4 DOSE–RESPONSE ASSESSMENT<br />

In this portion of the risk assessment, the dose–response relationships for the toxicities of concern must<br />

be measured, modeled, or assumed, in order to predict responses to doses estimated in the exposure<br />

assessment. While dose–response relationships could theoretically be obtained for a variety of effects<br />

from each chemical of potential concern, in practice attention is usually centered on the most sensitive<br />

effect of the chemical.<br />

In risk assessment, two fundamentally different types of dose–response relationships are thought<br />

to exist. One is the threshold model, in which all doses below some threshold produce no effect, while<br />

doses above the threshold produce effects that increase in incidence or severity as a function of dose.<br />

The second model has no threshold—any finite, nonzero dose is thought to possess some potential for<br />

producing an adverse effect. The derivation of these two types of dose-response relationships and their<br />

use to provide estimates of risk are very different, as described in the following sections.<br />

Threshold Models<br />

18.4 DOSE–RESPONSE ASSESSMENT 449<br />

It has long been held that for all toxicities other than cancer, there is some dose below which no<br />

observable or statistically measurable response exists. This dose, called the threshold dose, was<br />

graphically depicted in Chapter 1 (see also Figure 18.3). Conceptually, a threshold makes sense for<br />

most toxic effects. The body possesses a variety of detoxification and cell defense and repair

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