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The Toxicologist - Society of Toxicology

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893 UNVEILING ASSOCIATIONS BETWEEN LACTATIONAL<br />

EXPOSURE TO POLYCHLORINATED BIPHENYLS<br />

(PCBS ) AND INFANT NEURODEVELOPMENT: USE OF<br />

PBPK MODELING VS TRADITIONAL EXPOSURE<br />

METRICS.<br />

M. Verner 1 , P. Plusquellec 2 , G. Muckle 2 , P. Ayotte 2 , Dewailly 2 , S. W.<br />

Jacobson 3 , J. L. Jacobson 3 , M. Charbonneau 4 and S. Haddad 1 . 1 Université du<br />

Québec à Montréal, Montréal, QC, Canada, 2 Université Laval, Québec, QC,<br />

Canada, 3 Wayne State University School <strong>of</strong> Medicin, Detroit, MI and 4 INRS-Institut<br />

Armand-Frappier, Laval, QC, Canada.<br />

Traditional approaches to assess lactational exposure to PCBs in epidemiologic<br />

studies rely on levels measured in biologic specimens. Because <strong>of</strong> the multiple concurrent<br />

toxicokinetic processes involved in postnatal exposure, such metrics are unlikely<br />

to embody the complete infant internal exposure pr<strong>of</strong>ile. We conducted this<br />

study to compare exposure estimates generated by different approaches and their<br />

sensitivity in screening for associations with neurodevelopmental outcomes in<br />

northern Québec Inuit infants. Postnatal exposure was calculated using published<br />

metrics based on samples <strong>of</strong> breast milk (1 month postpartum) and infant blood (at<br />

6 months <strong>of</strong> age) and through PBPK modeling <strong>of</strong> mother-infant lactational transfer.<br />

PCB-153 was used as a proxy <strong>of</strong> exposure to a mixture <strong>of</strong> PCBs. As expected,<br />

breast milk levels were found to be more highly correlated with cord blood levels<br />

than with infant blood levels at 6 months and are, therefore, surrogates <strong>of</strong> prenatal<br />

exposure. When breast milk levels were multiplied by the duration <strong>of</strong> breast-feeding,<br />

estimates were highly correlated with infant blood levels (Pearson r = 0.78).<br />

However, PBPK-simulated concentrations were even better predictors <strong>of</strong> infant levels<br />

(Pearson r = 0.86). Using PBPK-simulated monthly area under the curve, associations<br />

were found between PCB-153 levels during specific periods and two neurodevelopmental<br />

outcomes (mean novelty preference at 6 months and non-elicited<br />

activity at 11 months). <strong>The</strong>se associations fell short <strong>of</strong> significance with traditional<br />

exposure metrics. <strong>The</strong> results <strong>of</strong> this study provide evidence that complete toxicokinetic<br />

pr<strong>of</strong>iles estimated by PBPK modeling are better suited than point estimates to<br />

assess the neurodevelopmental effects <strong>of</strong> lactational exposure to PCBs.<br />

895 USING IN VITRO PHARMACOKINETIC AND<br />

PHARMACODYNAMIC DATA TO REFINE THE<br />

PHARMACOKINETIC MODEL FOR CARBARYL IN<br />

THE RAT.<br />

M. Yoon 1 , G. Kedderis 2 , Y. Tan 1 and H. Clewell 1 . 1 <strong>The</strong> Hamner Institutes,<br />

Research Triangle Park, NC and 2 Consultant, Chapel Hill, NC.<br />

<strong>The</strong>re is increasing interest in applying in vitro data and pharmacokinetic (PK)<br />

modeling to improve risk assessments <strong>of</strong> chemicals in humans. Carbaryl is a widely<br />

used anti-cholinesterase (ChE) insecticide with significant human exposure. In the<br />

present study, parameters for metabolism and ChE inhibition <strong>of</strong> carbaryl were determined<br />

in vitro to refine the previously developed rat physiologically based pharmacokinetic<br />

(PBPK) model. Metabolism was determined in freshly isolated hepatocytes<br />

from adult male Sprague Dawley rats. Carbaryl disappearance followed<br />

Michaelis-Menten kinetics with Vmax <strong>of</strong> 1.3 nmol/min/10 6 cells and apparent KM<br />

50 - 80μM. Interactions between carbaryl and ChEs were determined in brain, red<br />

blood cells (RBCs), and plasma. Bimolecular inhibition rate constants (Ki) were 2 -<br />

12μM -1 h -1 for acetylcholinesterase (AchE) suggesting differing degrees <strong>of</strong> sensitivity<br />

<strong>of</strong> AChEs in RBCs, brain, and plasma. <strong>The</strong> Ki for butyrylcholinesterase (BChE) in<br />

plasma was lower than AChE. <strong>The</strong> rates <strong>of</strong> regeneration <strong>of</strong> the carbamylated ChEs<br />

were 0.5 - 2h -1 indicating similar rates <strong>of</strong> recovery for AchE and BChE. <strong>The</strong>se in<br />

vitro PK and pharmacodynamic data were extrapolated to whole animal to refine<br />

the description <strong>of</strong> the metabolism and ChE inhibition dynamics <strong>of</strong> carbaryl in the<br />

model. Predicted tissue carbaryl concentrations and ChE inhibition pr<strong>of</strong>iles in<br />

brain and blood were in better agreement with the observed data compared to the<br />

previous modeling, in which the metabolic and ChE inhibition parameters were all<br />

estimated from in vivo kinetic data. <strong>The</strong> refined rat model will be scaled up to a<br />

human model with data from in vitro studies using human tissues. <strong>The</strong> ultimate<br />

goal is to demonstrate a process for developing a human PBPK model for risk assessment<br />

based on an animal PBPK model augmented with in vitro to in vivo extrapolation<br />

approaches using human tissues. <strong>The</strong> resulting model will be used as a<br />

template for developing models for other N-methyl carbamates to support a cumulative<br />

risk assessment and interpret biomonitoring data on this class <strong>of</strong> pesticides.<br />

894 A BBDR-HPT AXIS MODEL FOR THE LACTATING RAT<br />

AND NURSING PUP: EVALUATION OF IODIDE<br />

DEFICIENCY.<br />

S. Li 1 , M. Gilbert 2 , T. Zoeller 3 , K. Cr<strong>of</strong>ton 4 , E. McLanahan 5 , D. Mattie 6 , B.<br />

Blount 7 , L. Valentin-Blasini 7 , K. Kurunthachalam 8 , T. Kunisue 8 and J. W.<br />

Fisher 1 . 1 College <strong>of</strong> Public Health, University <strong>of</strong> Georgia, Athens GA, GA,<br />

2<br />

<strong>Toxicology</strong> Assessment Division, U.S. EPA, Research Triangle Park, NC, 3 Biology<br />

Department, University <strong>of</strong> Massachusetts, Amherst, MA, 4 Integrated Systems<br />

<strong>Toxicology</strong> Division, U.S. EPA, Research Triangle Park, NC, 5 National Center for<br />

Environmental Assessment, U.S. EPA, Research Triangle Park, NC, 6 RHPB,<br />

USAF/AFRL 711 HPW, Wright-Patterson AFB, OH, 7 CCEHIP/NCEH, CDC,<br />

Atlanta, GA and 8 Wadsworth Center, NYS Department <strong>of</strong> Health, Albany, NY.<br />

A biologically based dose response (BBDR) model for the lactating rat and pup hypothalamic-pituitary-thyroid<br />

(HPT) axis is being developed to advance understanding<br />

<strong>of</strong> thyroid hormone disruptions and developmental neurotoxicity (DNT).<br />

<strong>The</strong> model for the lactating rat and pup quantify the compensatory mechanisms<br />

that govern the relationships between serum and brain thyroid hormone (TH) concentrations<br />

in the lactating dam and the nursing neonate, recognizing that these relationships<br />

may be affected by the mechanism <strong>of</strong> toxicity <strong>of</strong> different compounds.<br />

Initially, the model will be used to delineate perturbations in the HPT axis caused<br />

by inadequate dietary iodide (ID). Later, environmental toxicants that alter HPT<br />

axis homeostasis will be examined. <strong>The</strong> current model uses the McLanahan et al.<br />

(2009) BBDR-HPT axis model for the adult rat as a foundation, but includes several<br />

new features: 1) formation rates <strong>of</strong> THs, 2) negative feedback loop controlled<br />

by model-predicted brain concentrations <strong>of</strong> T3, 3) extrathyroidal metabolism <strong>of</strong><br />

THs by deiodinase enzymes, 4) regulation <strong>of</strong> deiodinase II in the brain, 5) serum<br />

protein binding <strong>of</strong> THs, and 6) maternal excretion <strong>of</strong> TSH and iodide via the milk.<br />

Algebraic equations were developed to describe physiological changes for the dam<br />

and nursing pups. <strong>The</strong> model is calibrated to predict perturbations in the HPT axis<br />

caused by ID and to ascertain the pup HPT axis tolerance to maternal ID during<br />

the nursing period. (Support: U.S. EPA STAR Cooperative Agreement R832134<br />

and AFRL through the Henry Jackson Foundation for the Advancement <strong>of</strong><br />

Military Medicine Contract 185137. This abstract does not necessarily reflect EPA<br />

policy.)<br />

896 LINKING REAL-WORLD PHYSIOLOGY AND<br />

EXPOSURES TO PHARMACODYNAMIC ENDPOINTS:<br />

A CASE STUDY USING CHLORPYRIFOS.<br />

P. M. Hinderliter 1 , P. S. Price 2 , K. D. Schnelle 3 , M. J. Bartels 2 , C. Timchalk 1<br />

and T. S. Poet 1 . 1 Battelle, Pacific Northwest Division, Richland, WA, 2 <strong>The</strong> Dow<br />

Chemical Company, Midland, MI and 3 Dow AgroSciences, LLC, Indianapolis, IN.<br />

Physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) models<br />

are important tools in risk assessment, allowing for the evaluation <strong>of</strong> the predicted<br />

effects <strong>of</strong> chemical exposures on humans that occur as the result <strong>of</strong> real world exposures.<br />

In a case study using the pesticide chlorpyrifos, dietary doses from two dietary<br />

exposure models (CARES and LifeLine) were linked to a PBPK/PD model<br />

that evaluates potential effects <strong>of</strong> chlorpyrifos exposure on brain cholinesterase.<br />

Sensitivity analysis identified the key model parameters that strongly impact predicted<br />

brain cholinesterase inhibition: cardiac output, liver blood flow, and blood<br />

and liver PON1 metabolism (which accounts for deactivation <strong>of</strong> the active moiety,<br />

chlorpyrifos-oxon). Variation in human physiology was characterized by modeling<br />

differences in organ size and perfusion based on demographic data <strong>of</strong> height and<br />

body weight in adults and children. Variation in metabolism was modeled based on<br />

published data on interindividual variation in P450 and PON1 levels in humans by<br />

extrapolating from measured variability <strong>of</strong> the same enzymes on similar substrates.<br />

<strong>The</strong> impact <strong>of</strong> variation in activity levels was characterized by varying cardiac output<br />

to reflect a range <strong>of</strong> activity levels from sedentary to active (0.9 to 1.4x base levels).<br />

<strong>The</strong>se tools and approaches provide a means <strong>of</strong> refining interspecies and interindividual<br />

uncertainty factors typically used when extrapolating from animal<br />

models to humans and from typical (i.e., average or centric) to sensitive individuals.<br />

Brain cholinesterase inhibition was predicted from modeling 5 consecutive days <strong>of</strong><br />

dietary exposure in 1000 adults and children. This analysis predicted no significant<br />

impact from these exposures (with inhibition

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