In assessing the distribution and metabolism of toxic compounds in the
body, measurements are not always feasible for ethical or technical r
easons. Computer modeling offers a reasonable alternative, but the var
iability and complexity of biological systems pose unique challenges i
n model building and adjustment. Recent tools from population pharmaco
kinetics, Bayesian statistical inference, and physiological modeling c
an be brought together to solve these problems. As an example, we mode
led the distribution and metabolism of benzene in humans. We derive st
atistical distributions for the parameters of a physiological model of
benzene, on the basis of existing data. The model adequately fits bot
h prior physiological information and experimental data. An estimate o
f the relationship between benzene exposure (up to 10 ppm) and fractio
n metabolized in the bone marrow is obtained and is shown to be linear
for the subjects studied. Our median population estimate for the frac
tion of benzene metabolized, independent of exposure levels, is 52% (9
0% confidence interval, 47-67%). At levels approaching occupational in
halation exposure (continuous 1 ppm exposure), the estimated quantity
metabolized in the bone marrow ranges from 2 to 40 mg/day.