Impact of pregnancy on the pharmacokinetics of dibenzo[def,p]chrysene in mice.

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental contaminants generated during combustion. Dibenzo[def,p]chrysene (DBC) is a high molecular weight PAH classified as a 2B carcinogen by the International Agency for Research on Cancer. DBC crosses the placenta in exposed mice, causing carcinogenicity in offspring. We present pharmacokinetic data of DBC in pregnant and nonpregnant mice. Pregnant (gestational day 17) and nonpregnant female B6129SF1/J mice were exposed to 15mg/kg DBC by oral gavage. Subgroups of mice were sacrificed up to 48h postdosing, and blood, excreta, and tissues were analyzed for DBC and its major diol and tetrol metabolites. Elevated maximum concentrations and areas under the curve of DBC and its metabolites were observed in blood and tissues of pregnant animals compared with naïve mice. Using a physiologically based pharmacokinetic (PBPK) model, we found observed differences in pharmacokinetics could not be attributed solely to changes in tissue volumes and blood flows that occur during pregnancy. Measurement of enzyme activity in naïve and pregnant mice by activity-based protein profiling indicated a 2- to 10-fold reduction in activities of many of the enzymes relevant to PAH metabolism. Incorporating this reduction into the PBPK model improved model predictions. Concentrations of DBC in fetuses were one to two orders of magnitude below maternal blood concentrations, whereas metabolite concentrations closely resembled those observed in maternal blood.

Preliminary physiologically based pharmacokinetic models for benzo[a]pyrene and dibenzo[def,p]chrysene in rodents.

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental contaminants generated as byproducts of natural and anthropogenic combustion processes. Despite significant public health concern, physiologically based pharmacokinetic (PBPK) modeling efforts for PAHs have so far been limited to naphthalene, plus simpler PK models for pyrene, nitropyrene, and benzo[a]pyrene (B[a]P). The dearth of published models is due in part to the high lipophilicity, low volatility, and myriad metabolic pathways for PAHs, all of which present analytical and experimental challenges. Our research efforts have focused upon experimental approaches and initial development of PBPK models for the prototypic PAH, B[a]P, and the more potent, albeit less studied transplacental carcinogen, dibenzo[def,p]chrysene (DBC). For both compounds, model compartments included arterial and venous blood, flow limited lung, liver, richly perfused and poorly perfused tissues, diffusion limited fat, and a two compartment theoretical gut (for oral exposures). Hepatic and pulmonary metabolism was described for both compounds, as were fractional binding in blood and fecal clearance. Partition coefficients for parent PAH along with their diol and tetraol metabolites were estimated using published algorithms and verified experimentally for the hydroxylated metabolites. The preliminary PBPK models were able to describe many, but not all, of the available data sets, comprising multiple routes of exposure (oral, intravenous) and nominal doses spanning several orders of magnitude.

Development and application of a physiologically based pharmacokinetic model for triadimefon and its metabolite triadimenol in rats and humans.

A physiologically based pharmacokinetic (PBPK) model was developed for the conazole fungicide triadimefon and its primary metabolite, triadimenol. Rat tissue:blood partition coefficients and metabolic constants were measured in vitro for both compounds. Pharmacokinetic data for parent and metabolite were collected from several tissues after intravenous administration of triadimefon to male Sprague-Dawley rats. The model adequately simulated peak blood and tissue concentrations but predicted more rapid clearance of both triadimefon and triadimenol from blood and tissues. Reverse metabolism of triadimenol to triadimefon in the liver was explored as a possible explanation of this slow clearance, with significant improvement in model prediction. The amended model was extrapolated to humans using in vitro metabolic constants measured in human hepatic microsomes. Human equivalent doses (HEDs) were calculated for a rat no observable adverse effect level (NOAEL) dose of 3.4mg/kg/day using area under the concentration curve (AUC) in brain and blood for triadimefon and triadimenol as dosimetrics. All dosimetric-based HEDs were 25-30 fold above the human oral reference dose of 0.03mg triadimefon/kg/day, but did not account for intra-human variability or pharmacodynamic differences. Ultimately, derivations of this model will be able to better predict the exposure profile of these and other conazole fungicides in humans.