Issues in Risk Assessment (1993)

Chapter: 6. INTERSPECIES EXTRAPOLATION

Previous Chapter: 5.3. Preliminary Estimate of Risk
Suggested Citation: "6. INTERSPECIES EXTRAPOLATION." National Research Council. 1993. Issues in Risk Assessment. Washington, DC: The National Academies Press. doi: 10.17226/2078.

TABLE 4 Regression of Upper Bounds on Low Dose Slopes on the Maximum Tolerated Dosea

Regression Parameter

Extrapolation Method

Multistage Model

Model-Free Extrapolation

Intercept ± SE

0.01 ± 0.05

0.11 ± 0.04

Slope ± SE

-1.05 ± 0.03

-1.07 ± 0.02

Correlation

0.944

0.961

Root Mean Square (s)

0.462

0.386

Factor 102s 95% Prediction Intervalb

8.4

5.9

aBased on simple linear regression of log slope on log MDT.

bUpper limit is 102s x MDT; lower limit is 10-2s x MDT.

approximate 95% prediction intervals for the low dose slope encompass a range of about 8 × 8 = 64-fold about the MDT with the LMS model, and a range of about 36-fold for MFX. Given an upper bound on the low dose slope ß, the corresponding 10-6 RSD is simply 10-6/ß.

6.Interspecies Extrapolation

Since mammalian species share many common physiological characteristics it is expected that they may respond in a somewhat similar manner to toxic substances. While many differences exist between species (Oser, 1981), allometric relationships among physiological parameters have suggested different metrics for quantitative interspecies extrapolation: heat loss, for example, appears to be proportional to the surface area of mammals, whereas metabolism is related to body weight to the 3/4 power (Schmidt-Nielsen, 1984). Such considerations have led to suggestions that allometric equations of the form

Suggested Citation: "6. INTERSPECIES EXTRAPOLATION." National Research Council. 1993. Issues in Risk Assessment. Washington, DC: The National Academies Press. doi: 10.17226/2078.
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Next Chapter: 6.1 Extrapolation from Rats to Mice
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