For the risk to human health posed by chemicals that show threshold toxicit
y there is an increasing need to move away from using the default approache
s, which inherently incorporate uncertainty, towards more biologically defe
nsible risk assessments. However, most chemical databases do not contain da
ta of sufficient quantity or quality that can be used to replace either the
interspecies or interindividual aspects of toxicokinetic and toxicodynamic
uncertainty. The purpose of the current analysis was to evaluate the use o
f alternative, species-specific, pathway-related, "categorical" default val
ues to replace the current interspecies toxicokinetic default uncertainty f
actor of 4.0. The extent of the difference in the internal dose of a compou
nd, for each test species, could then be related to the specific route of m
etabolism in humans. This refinement would allow for different categories o
f defaults to be used, providing that the metabolic fate of a toxicant was
known in humans.
Interspecies differences in metabolism, excretion, and bioavailability have
been compared for probe substrates for four different human xenobiotic-met
abolizing enzymes: CYP1A2 (caffeine, paraxanthine, theobromine, and theophy
lline), CYP3A4 (lidocaine), UDP-glucuronyltransferase (AZT), and esterases
(aspirin).
The results of this analysis showed that there are significant differences
between humans and the four test species in the metabolic fate of the probe
compounds, the enzymes involved, the route of excretion and oral bioavaila
bility - all of which are factors that can influence the extent of the diff
erence between humans and a test species in the internal dose of a toxicant
. The wide variability between both compounds and the individual species su
ggests that the categorical approach for species differences may be of limi
ted use in refining the current default approach. However, future work to i
ncorporate a wider database of compounds that are metabolized extensively b
y any pathway in humans to provide more information on the extent to which
the different test species are not covered by the default of 4.0. Ultimatel
y this work supports the necessity to remove the uncertainty from the risk
assessment process by the generation and use of compound-specific data.