Statistical analysis of Fisher et al. PBPK model of trichloroethylene kinetics

Two physiologically based pharmacokinetic models for trichloroethylene (TCE ) in mice and humans were calibrated with new toxicokinetic data sets. Cali bration is an important step in model development, essential to a legitimat e use of models for research or regulatory purposes. A Bayesian statistical framework was used to combine prior information about the model parameters with the data likelihood to yield posterior parameter distributions for mi ce, these distributions represent uncertainty. For humans, the use of a pop ulation statistical model yielded estimates of both variability and uncerta inty in human toxicokinetics of TCE. After adjustment of the models by Mark ov chain Monte Carlo sampling, the mouse model agreed with a large part of the data. Yet, some data on secondary metabolites were not fit well. The po sterior parameter distributions obtained for mice were quite narrow(coeffic ient of variation [CV] of about 10 or 20%), but these CVs might be underest imated because of the incomplete fit of the model. The data fit, for humans , was better than for mice. Yet, some improvement of the model is needed to correctly describe trichloroethanol concentrations over long time periods. Posterior uncertainties about the population means corresponded to 10-20% CV. In terms of human population variability, volumes and flows varied acro ss subject by approximately 20% CV. The variability was somewhat higher for partition coefficients (between 30 and 40%) and much higher for the metabo lic parameters (standard deviations representing about a factor of 2). Fina lly, the analysis points to differences between human males and females in the toxicokinetics of TCE. The significance of these differences in terms o f risk remains to be investigated.