Occupational exposure Limits (OELs) for individual substances are establish
ed on the basis of the available toxicological information at the time of t
heir promulgation, expert interpretation of these data in light of industri
al use, and the framework in which they sit. In the United Kingdom, the est
ablishment of specific OELs includes the application of uncertainty factors
to a defined starting point, usually the NOAEL from a suitable animal stud
y. The magnitude of the uncertainty factors is generally determined through
expert judgment including a knowledge of workplace conditions and manageme
nt of exposure. PBPK modeling may help in this process by informing on issu
es relating to extrapolation between and within species. This study was the
refore designed to consider how PBPK( modeling could contribute to the esta
blishment of OELs, PBPK models were developed for chloroform (mouse and hum
an) and carbon tetrachloride (rat and human). These substances were chosen
for examination because of the extent of their toxicological databases and
availability of existing PBPK models. The models were exercised to predict
the rate (chloroform) or extent (carbon tetrachloride) of metabolism of the
se substances, in both rodents and humans. Monte Carlo analysis was used to
investigate the influence of variability within the human and animal model
populations. The ratio of the rates/extent of metabolism predicted for hum
ans compared to animals was compared to the uncertainty factors involved in
setting the OES, Predictions obtained from the PBPK( models indicated that
average rat and mouse metabolism of carbon tetrachloride and chloroform, r
espectively, are much greater than that of the average human. Application o
f Monte Carlo analysis indicated that even those people who have the fastes
t rates or most extensive amounts of metabolism in the population are unlik
ely to generate the levels of metabolite of these substances necessary to p
roduce overt toxicity in rodents. This study highlights the value that the
use of PBPK modeling may add to help inform and improve toxicological aspec
ts of a regulatory process. (C) 2000 Academic Press.