Andy Nong

Incorporating new technologies into toxicity testing and risk assessment: moving from 21st century vision to a data-driven framework.

Based on existing data and previous work, a series of studies is proposed as a basis toward a pragmatic early step in transforming toxicity testing. These studies were assembled into a data-driven framework that invokes successive tiers of testing with margin of exposure (MOE) as the primary metric. The first tier of the framework integrates data from high-throughput in vitro assays, in vitro-to-in vivo extrapolation (IVIVE) pharmacokinetic modeling, and exposure modeling. The in vitro assays are used to separate chemicals based on their relative selectivity in interacting with biological targets and identify the concentration at which these interactions occur. The IVIVE modeling converts in vitro concentrations into external dose for calculation of the point of departure (POD) and comparisons to human exposure estimates to yield a MOE. The second tier involves short-term in vivo studies, expanded pharmacokinetic evaluations, and refined human exposure estimates. The results from the second tier studies provide more accurate estimates of the POD and the MOE. The third tier contains the traditional animal studies currently used to assess chemical safety. In each tier, the POD for selective chemicals is based primarily on endpoints associated with a proposed mode of action, whereas the POD for nonselective chemicals is based on potential biological perturbation. Based on the MOE, a significant percentage of chemicals evaluated in the first 2 tiers could be eliminated from further testing. The framework provides a risk-based and animal-sparing approach to evaluate chemical safety, drawing broadly from previous experience but incorporating technological advances to increase efficiency.

Physiologically Based Pharmacokinetic Modeling of Fetal and Neonatal Manganese Exposure in Humans: Describing Manganese Homeostasis during Development

Concerns for potential vulnerability to manganese (Mn) neurotoxicity during fetal and neonatal development have been raised due to increased needs for Mn for normal growth, different sources of exposure to Mn, and pharmacokinetic differences between the young and adults. A physiologically based pharmacokinetic (PBPK) model for Mn during human gestation and lactation was developed to predict Mn in fetal and neonatal brain using a parallelogram approach based upon extrapolation across life stages in rats and cross-species extrapolation to humans. Based on the rodent modeling, key physiological processes controlling Mn kinetics during gestation and lactation were incorporated, including alterations in Mn uptake, excretion, tissue-specific distributions, and placental and lactational transfer of Mn. Parameters for Mn kinetics were estimated based on human Mn data for milk, placenta, and fetal/neonatal tissues, along with allometric scaling from the human adult model. The model was evaluated by comparison with published Mn levels in cord blood, milk, and infant blood. Maternal Mn homeostasis during pregnancy and lactation, placenta and milk Mn, and fetal/neonatal tissue Mn were simulated for normal dietary intake and with inhalation exposure to environmental Mn. Model predictions indicate similar or lower internal exposures to Mn in the brains of fetus/neonate compared with the adult at or above typical environmental air Mn concentrations. This PBPK approach can assess expected Mn tissue concentration during early life and compares contributions of different Mn sources, such as breast or cow milk, formula, food, drinking water, and inhalation, with tissue concentration.

Evaluating placental transfer and tissue concentrations of manganese in the pregnant rat and fetuses after inhalation exposures with a PBPK model.

A Physiologically Based Pharmaco Kinetic (PBPK) model, based on a published description of manganese (Mn) kinetics in adult rats, has been developed to describe Mn uptake and tissue distribution in the pregnant dam and fetus during dietary and inhalation exposures. This extension incorporated key physiological processes controlling Mn pharmacokinetics during pregnancy and fetal development. After calibration against tissue Mn concentrations observed during late gestation, the model accurately simulated Mn tissue distribution in the dam and fetus following both diet and inhalation exposures to the pregnant rat. Maternal to fetal transfer of Mn through placenta was described using two pathways: a saturable active transport with high affinity and a simple diffusion. The active transport dominates at basal and lower Mn exposure, whereas at higher Mn exposure, the relative contribution of the diffusion pathway increases. To simulate fetal tissue Mn, tissue-binding parameters and preferential influx/efflux rates in fetal brain were adjusted from the adult model based on differential developmental processes and varying tissue demands for Mn in early life. Model simulations were consistent with observed tissue Mn concentrations in fetal tissues, including brain for diet alone and for combined diet and inhalation. Simulations of Mn in placenta and other maternal tissues in late gestation correlated well with measured tissue concentrations. This model, together with our published models for Mn kinetics during lactation and postnatal development, will help to address concerns about Mn neurotoxicity in potentially sensitive human subpopulation, such as infants and children by providing an estimate of Mn exposure in the population of interest.

Pharmacokinetic Modeling of Manganese in the Rat IV: Assessing Factors that Contribute to Brain Accumulation During Inhalation Exposure

A recently published physiologically based pharmacokinetic (PBPK) model successfully accounted for steady-state tissue manganese (Mn) concentration seen with normal dietary intakes and for biphasic, whole-body time-course profiles observed with tracer (54Mn) dosing. In this present study, PBPK modeling was used to evaluate Mn kinetics and brain concentrations in rats exposed to Mn both in their diet and by inhalation. Three published studies were used: (1) rats fed on diets ranging from 2 to 100 ppm, (2) rats on 125 ppm in diet and exposed via inhalation at 0.0 to 3.00 mg Mn/m3 each day for 14 d, and (3) rats to 0.1 or 0.5 mg Mn/m3 for 6 h/d, 5 d/wk over a 90-d period. The original model structure with well-mixed and “deep” compartments for each tissue could not describe rapid increases in tissue concentrations and rapid declines seen in high concentration inhalation studies. A second structure was developed that included (1) saturable, high-affinity binding of Mn in all tissues and (2) asymmetric diffusion from blood into brain (i.e., transport into and out of specific brain regions such as the striatum was described with different diffusion constants). This second model was consistent with liver and striatum experimental data. Preferential increases in some brain regions were predicted for exposures above 0.2 mg/m3 and had a rapid (i.e., 1 or 2 wk) return to steady-state levels. Multi-dose-route PBPK models for Mn based on this alternative model structure can be readily scaled to evaluate tissue Mn kinetics in other species and for human populations. Once validated across test animals, these PBPK models will be useful in tissue-dose based risk assessment with manganese.

Biomonitoring Equivalents for bisphenol A (BPA)

Recent efforts worldwide have resulted in a growing database of measured concentrations of chemicals in blood and urine samples taken from the general population. However, few tools exist to assist in the interpretation of the measured values in a health risk context. Biomonitoring Equivalents (BEs) are defined as the concentration or range of concentrations of a chemical or its metabolite in a biological medium (blood, urine, or other medium) that is consistent with an existing health-based exposure guideline. BE values are derived by integrating available data on pharmacokinetics with existing chemical risk assessments. This study reviews available health-based exposure guidance values for bisphenol A (BPA) from Health Canada, the United States Environmental Protection Agency (USEPA) and the European Food Safety Authority (EFSA). BE values were derived based on data on BPA urinary excretion in humans. The BE value corresponding to the oral provisional tolerable daily intake (pTDI) of 25 microg/kg-d from Health Canada is 1mg/L (1.3mg/g creatinine); value corresponding to the US EPA reference dose (RfD) and EFSA tolerable daily intake (TDI) estimates (both of which are equal to 50 microg/kg-d) is 2mg/L (2.6 mg/g creatinine). These values are estimates of the 24-h average urinary BPA concentrations that are consistent with steady-state exposure at the respective exposure guidance values. These BE values may be used as screening tools for evaluation of central tendency measures of population biomonitoring data for BPA in a risk assessment context and can assist in prioritization of the potential need for additional risk assessment efforts for BPA relative to other chemicals.

Manganese Tissue Dosimetry in Rats and Monkeys: Accounting for Dietary and Inhaled Mn with Physiologically based Pharmacokinetic Modeling

Manganese (Mn) is an essential nutrient required for normal tissue growth and function. Following exposures to high concentrations of inhaled Mn, there is preferential accumulation of Mn in certain brain regions such as the striatum and globus pallidus. The goal of this research was to complete a physiologically based pharmacokinetic (PBPK) model for Mn in rats and scale the model to describe Mn tissue accumulation in nonhuman primates exposed to Mn by inhalation and diet. The model structure includes saturable tissue binding with association and dissociation rate constants, asymmetric tissue permeation flux rate constants to specific tissues, and inducible biliary excretion. The rat PBPK model described tissue time-course studies for various dietary Mn intakes and accounted for inhalation studies of both 14-day and 90-day duration. In monkeys, model parameters were first calibrated using steady-state tissue Mn concentrations from rhesus monkeys fed a diet containing 133 ppm Mn. The model was then applied to simulate 65 exposure days of weekly (6 h/day; 5 days/week) inhalation exposures to soluble MnSO(4) at 0.03 to 1.5 mg Mn/m(3). Sensitivity analysis showed that Mn tissue concentrations in the models have dose-dependencies in (1) biliary excretion of free Mn from liver, (2) saturable tissue binding in all tissues, and (3) differential influx/efflux rates for tissues that preferentially accumulate Mn. This multispecies PBPK model is consistent with the available experimental kinetic data, indicating preferential increases in some brain regions with exposures above 0.2 mg/m(3) and fairly rapid return to steady-state levels (within several weeks rather than months) after cessation of exposure. PBPK models that account for preferential Mn tissue accumulation from both oral and inhalation exposures will be essential to support tissue dosimetry-based human risk assessments for Mn.

Analysis of Manganese Tracer Kinetics and Target Tissue Dosimetry in Monkeys and Humans with Multi-Route Physiologically Based Pharmacokinetic Models

Manganese (Mn) is an essential nutrient with the capacity for toxicity from excessive exposure. Accumulation of Mn in the striatum, globus pallidus, and other midbrain regions is associated with neurotoxicity following high-dose Mn inhalation. Physiologically based pharmacokinetic (PBPK) models for ingested and inhaled Mn in rats and nonhuman primates were previously developed. The models contained saturable Mn tissue-binding capacities, preferential fluxes of Mn in specific tissues, and homeostatic control processes such as inducible biliary excretion of Mn. In this study, a nonhuman primate model was scaled to humans and was further extended to include iv, ip, and sc exposure routes so that past studies regarding radiolabeled carrier-free (54)MnCl(2) tracer kinetics could be evaluated. Simulation results accurately recapitulated the biphasic elimination behavior for all exposure routes. The PBPK models also provided consistent cross-species descriptions of Mn tracer kinetics across multiple exposure routes. These results indicate that PBPK models can accurately simulate the overall kinetic behavior of Mn and predict conditions where exposures will increase free Mn in various tissues throughout the body. Simulations with the human model indicate that globus pallidus Mn concentrations are unaffected by air concentrations < 10 μg/m(3) Mn. The use of this human Mn PBPK model can become a key component of future human health risk assessment of Mn, allowing the consideration of various exposure routes, natural tissue background levels, and homeostatic controls to explore exposure conditions that lead to increased target tissue levels resulting from Mn overexposure.

Biomonitoring Equivalents for inorganic arsenic

This paper presents Biomonitoring Equivalents (BEs) for inorganic arsenic. Biomonitoring Equivalents (BEs) are defined as the concentration or range of concentrations of a chemical or its metabolite in a biological medium (blood, urine, or other medium) that is consistent with an existing health-based exposure guideline, and are derived by integrating available data on pharmacokinetics with existing chemical risk assessments. This study reviews available health-based exposure guidance values for arsenic based on recent evaluations from the United States Environmental Protection Agency (US EPA), US Agency for Toxic Substances and Disease Registry (ATSDR) and Health Canada (HC). BE values corresponding to the Reference Dose (RfD) or risk-specific doses for cancer endpoints from these agencies were derived based on kinetic data (urinary excretion) from controlled dosing studies in humans. The BE values presented here provide estimates of the sum of inorganic arsenic-derived urinary biomarkers (inorganic arsenic, monomethylated arsenic, and dimethylated arsenic). The BE associated with the United States Environmental Protection Agencys Reference Dose and the Agency for Toxic Substances and Disease Registrys Minimal Risk Level is 6.4 microg arsenic/L urine. The BEs associated with the various cancer risk assessments are significantly lower. These BE values may be used as screening tools for evaluation of biomonitoring data for inorganic arsenic in a public health risk context.

Bayesian Calibration of a Physiologically Based Pharmacokinetic/Pharmacodynamic Model of Carbaryl Cholinesterase Inhibition

Carbaryl, an N-methyl carbamate (NMC), is a common insecticide that reversibly inhibits neuronal cholinesterase activity. The objective of this work was to use a hierarchical Bayesian approach to estimate the parameters in a physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) model from experimental measurements of carbaryl in rats. A PBPK/PD model was developed to describe the tissue dosimetry of carbaryl and its metabolites (1-naphthol and “other hydroxylated metabolites”) and subsequently to predict the carbaryl-induced inhibition of cholinesterase activity, in particular in the brain and blood. In support of the model parameterization, kinetic tracer studies were undertaken to determine total radioactive tissue levels of carbaryl and metabolites in rats exposed by oral or intravenous routes at doses ranging from 0.8 to 9.2 mg/kg body weight. Inhibition of cholinesterase activity in blood and brain was also measured from the exposed rats. Markov Chain Monte Carlo (MCMC) calibration of the rat model parameters was implemented using prior information from literature for physiological parameter distributions together with kinetic and inhibition data on carbaryl. The posterior estimates of the parameters displayed at most a twofold deviation from the mean. Monte Carlo simulations of the PBPK/PD model with the posterior distribution estimates predicted a 95% credible interval of tissue doses for carbaryl and 1-naphthol within the range of observed data. Similar prediction results were achieved for cholinesterase inhibition by carbaryl. This initial model will be used to determine the experimental studies that may provide the highest added value for model refinement. The Bayesian PBPK/PD modeling approach developed here will serve as a prototype for developing mechanism-based risk models for the other NMCs.

Biomonitoring equivalents for DDT/DDE.

Biomonitoring Equivalents (BEs) are defined as the concentration or range of concentrations of a chemical or its metabolite in a biological medium (blood, urine, or other medium) that is consistent with an existing health-based exposure guideline such as a reference dose (RfD) or tolerable daily intake (TDI). BE values can be used as a screening tool for the evaluation of population-based biomonitoring data in the context of existing risk assessments. This study reviews available health based risk assessments and exposure guidance values for DDT (1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane, CAS #50-29-3) and related metabolites and degradation products DDE (1,1-dichloro-2,2-bis(p-chlorophenyl)ethane, CAS #72-55-90) and DDD (1,1-dichloro-2,2-bis(p-chloro-phenyl)ethane) based on both non-cancer and cancer risk assessments from the Food and Agriculture Organization/World Health Organization (FAO/WHO), the United States Environmental Protection Agency (US EPA), and other organizations. Laboratory data on distribution and toxicokinetics of DDT and metabolites and estimates of human elimination half-lives were used to estimate BE values (lipid-adjusted blood, serum, or plasma concentrations) corresponding to the various non-cancer exposure guidance values and cancer risk-specific doses. The BE values based on non-cancer risk assessments range from 5000 to 40,000ng/g lipid for the sum of DDT, DDE, and DDD. The BE values corresponding to a 1E-05 cancer risk level for DDT and DDE based on the US EPA assessment are 300 and 500ng/g lipid, respectively. Sources of uncertainty relating to both the basis for the BE values and their use in evaluation of biomonitoring data are discussed. The BE values derived here can be used as a screening tools for evaluation of population biomonitoring data for DDT and related compounds in the context of the existing risk assessment and can assist in prioritization of the potential need for additional risk assessment efforts for DDT relative to other chemicals.