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The Toxicologist - Society of Toxicology

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1930 DEVELOPMENT OF A RELATIVE SOURCE<br />

CONTRIBUTION FACTOR FOR DRINKING WATER<br />

CRITERIA: THE CASE OF HEXAHYDRO-1, 3, 5-<br />

TRINITRO-1, 3, 5-TRIAZINE (RDX).<br />

B. Gadagbui 1 , J. Patterson 1 , S. S. Kueberuwa 3 , A. Rak 2 , R. S. Kutzman 2 , G.<br />

Reddy 4 and M. S. Johnson 4 . 1 <strong>Toxicology</strong> Excellence For Risk Assessment, Cincinnati,<br />

OH, 2 Noblis Inc., Alexandria, VA, 3 U.S. Environmental Protection Agency,<br />

Washington, DC and 4 U.S. Army Center for Health Promotion and Preventive<br />

Medicine, Aberdeen Proving Ground, MD.<br />

In protecting human health, the application <strong>of</strong> fate, transport, and exposure data<br />

are essential in the development <strong>of</strong> chemical-specific criteria for drinking water.<br />

<strong>The</strong>re are few environmental regulations, standards, or guidance values for hexahydro-1,3,5-trinitro-1,3,5-triazine<br />

(RDX), but an increasing number <strong>of</strong> states are developing<br />

such for RDX. RDX is a synthetic chemical, which is not known to occur<br />

naturally. It is a military munitions explosive with limited civilian uses. Available<br />

data suggest that RDX is not anticipated to be a national exposure concern. This assessment<br />

presents a relative source contribution (RSC) factor for RDX. An RSC accounts<br />

for all sources and non-occupational exposures from RDX and apportions<br />

these amounts to each source so that an individual’s total dose does not exceed the<br />

reference dose. <strong>The</strong> application <strong>of</strong> the Exposure Decision Tree approach (subtraction<br />

method), recommended by the U.S. EPA, was used. An exposure model identified<br />

the relevant potential sources for highly exposed receptors proximate to an<br />

area where RDX was released. Potentially contaminated media include soil,<br />

groundwater, and surface water. Potential exposure pathways include ingestion <strong>of</strong><br />

soil, water, and contaminated local crops and fish; dermal contact with soil; and<br />

water used in bathing. <strong>The</strong>se pathways are limited to areas that are in close proximity<br />

to current or former military bases where RDX may have been released into the<br />

environment. Given the physical/chemical properties and the available environmental<br />

occurrence data on RDX (from military sites), there are adequate data to<br />

support a chemical-specific RSC for RDX <strong>of</strong> 50% for drinking water. <strong>The</strong> opinions<br />

are those <strong>of</strong> authors and do not necessarily reflect the opinions <strong>of</strong> the U.S. EPA or<br />

the Dept. <strong>of</strong> the Army.<br />

1931 ISSUES IN USING HUMAN VARIABILITY<br />

DISTRIBUTIONS TO ESTIMATE LOW-DOSE RISK.<br />

W. A. Chiu 1 , K. S. Crump 2 and R. Subramaniam 1 . 1 U.S. Environmental<br />

Protection Agency, Washington, DC and 2 Louisiana Tech University, Ruston, LA.<br />

Sponsor: K. Guyton.<br />

Background: A Committee <strong>of</strong> the National Academies <strong>of</strong> Science recommended<br />

using human variability distributions (HVDs) to estimate low-dose risks in certain<br />

situations. In this approach (HVD modeling) log-normal distributions are estimated<br />

from data on pharmacokinetic and pharmacodynamic variables that impact<br />

individual sensitivities to the toxic response. <strong>The</strong>se distributions are combined into<br />

an overall log-normal distribution by assuming the variables act independently and<br />

multiplicatively. This distribution is centered at a point <strong>of</strong> departure (POD) dose<br />

usually estimated from animal data. <strong>The</strong> resulting log-normal distribution is used<br />

to quantify low-dose risk. Objective: To examine the implications <strong>of</strong> various assumptions<br />

in HVD modeling. Methods: Assumptions and data used in HVD<br />

modeling are subjected to rigorous analysis. Results: <strong>The</strong> assumption that the variables<br />

affecting human sensitivity vary log-normally is not scientifically defensible.<br />

Other distributions that are equally consistent with the data provide very different<br />

estimates <strong>of</strong> low-dose risk. HVD modeling <strong>of</strong>ten involves assuming that the threshold<br />

dose, defined by dichotomizing a continuous apical response, has a log-normal<br />

distribution. This assumption is incompatible (except under highly specialized conditions)<br />

with assuming that the apical response itself is log-normal. However, the<br />

two assumptions can lead to very different estimates <strong>of</strong> low-dose risk. <strong>The</strong> assumption<br />

in HVD modeling that risk can be expressed as a function <strong>of</strong> a product <strong>of</strong> independent<br />

variables lacks phenomenological support. An example is provided that<br />

shows that this assumption is generally invalid. Conclusion: In view <strong>of</strong> these problems,<br />

we recommend caution in the use <strong>of</strong> HVD modeling as a general approach to<br />

estimating low-dose risks from human exposures to toxic chemicals. Disclaimer:<br />

<strong>The</strong> views expressed in this poster represent those <strong>of</strong> the authors and do not reflect<br />

the views or policies <strong>of</strong> the U.S. EPA.<br />

1932 PROPOSED MODES OF ACTION FOR<br />

NEUROTOXICITY INDUCED BY VARIOUS<br />

CHLORINATED SOLVENTS.<br />

A. Bale, S. Barone, C. S. Scott and G. S. Cooper. NCEA/ORD, U.S. EPA,<br />

Washington, DC.<br />

Several health assessments <strong>of</strong> chlorinated solvents, including trichloroethylene<br />

(TCE), perchloroethylene (PERC), and dichloromethane (DCM), are underway by<br />

the U.S. EPA’s Integrated Risk Information System (IRIS) Program. <strong>The</strong>se solvents<br />

have been shown to produce similar central nervous system (CNS) effects in animals<br />

and humans. <strong>The</strong> observed neurotoxicological effects for this chemical class<br />

are general CNS effects (e.g., locomotor activity changes and anxiolytic effects), visual<br />

effects, ototoxicity, cognitive deficits, sleep cycle disturbances, imbalance, and<br />

decrements in nerve function. Since neurotoxicological effects are consistent among<br />

the three solvents, we hypothesized that mechanisms producing these neurological<br />

effects may be similar. Available neuropathological and mechanistic studies were<br />

evaluated in order to determine which molecular systems may be involved in production<br />

<strong>of</strong> neurotoxicological outcomes. <strong>The</strong> mechanistic studies indicate that the<br />

chlorinated solvents have several molecular targets which may, in part, explain the<br />

observed neurobehavioral effects. PERC and TCE have been demonstrated to interact<br />

directly with several different classes <strong>of</strong> neuronal receptors by inhibiting excitatory<br />

receptors/channels and potentiating inhibitory receptors/channel function.<br />

Most <strong>of</strong> the mechanistic studies evaluated effects following acute exposure durations.<br />

Given the mechanistic information for TCE, DCM, and PERC, we provide<br />

hypotheses for primary targets (e.g. ion channel targets) that appear to be influential<br />

in producing the resultant neurological effect. As a result there is uncertainty in<br />

extrapolating the acute exposure mechanistic data to chronic neurotoxicological effects<br />

following exposures to chlorinated solvents since the molecular targets may be<br />

affected differently following a chronic exposure. This analysis <strong>of</strong> data from multiple<br />

chlorinated solvents underscores the need for more research to develop a model<br />

<strong>of</strong> low level chronic human exposures to this class <strong>of</strong> compounds. <strong>The</strong>se authors’<br />

views do not necessarily reflect the views or policies <strong>of</strong> the U.S. EPA.<br />

1933 MODELS USED TO SUPPORT EXPOSURE AND RISK<br />

ANALYSES BY THE U.S. ENVIRONMENTAL<br />

PROTECTION AGENCY.<br />

P. R. Williams 1 , B. J. Hubbell 2 , E. Weber 3 , C. Fehrenbacher 4 , D. Hrdy 5 and V.<br />

Zartarian 6 . 1 E Risk Sciences, LLP, Boulder, Co., 2 Office <strong>of</strong> Air Quality Planning and<br />

Standards, U.S. EPA, Research Triangle Park, NC, 3 National Exposure Research<br />

Laboratory, U.S. EPA, Athens, GA, 4 Office <strong>of</strong> Pollution Prevention and Toxics, U.S.<br />

EPA, Washington, DC, 5 Office <strong>of</strong> Pesticide Programs, U.S. EPA, Washington, DC<br />

and 6 National Exposure Research Laboratory, U.S. EPA, Research Triangle Park, NC.<br />

In this presentation, we provide an overview <strong>of</strong> 35 models currently supported and<br />

used by the U.S. EPA to assess exposures to human or ecological receptors. An understanding<br />

<strong>of</strong> these models is important because they are <strong>of</strong>ten used in addition to<br />

or in lieu <strong>of</strong> monitoring data to estimate environmental concentrations and exposures<br />

for use in risk assessments or epidemiology studies and to support regulatory<br />

standards and voluntary programs. Information on each models was obtained from<br />

several sources, including available model documentation (e.g., user manuals, staff<br />

papers, external peer reviews), interviews with model developers, and running <strong>of</strong><br />

the model using real or hypothetical data. <strong>The</strong> models generally represent the first<br />

half <strong>of</strong> the source-to-outcome continuum and include 12 fate/transport models, 5<br />

exposure models, and 8 integrated fate/transport and exposure models. Many <strong>of</strong> the<br />

exposure models also incorporate cancer or non-cancer risk estimates, including<br />

margin <strong>of</strong> exposure (MOE), hazard index, or toxicity equivalency factors. Each<br />

model is summarized with respect to its intended purpose and potential applications,<br />

level <strong>of</strong> analysis and routes <strong>of</strong> exposure, key data inputs and exposure/risk<br />

outputs, temporal and spatial resolution, treatment <strong>of</strong> variability and uncertainty,<br />

degree <strong>of</strong> model evaluation, level <strong>of</strong> internal and external peer review, and interactions<br />

with other models. A discussion is also provided regarding recent and ongoing<br />

efforts to develop integrated modeling approaches and to perform lifecycle evaluations<br />

and retrospective analyses <strong>of</strong> existing U.S. EPA models. <strong>The</strong> information presented<br />

here should provide a useful up-to-date resource to exposure and risk modelers<br />

and practitioners.<br />

1934 RISK ASSESSMENT OF METALS IN CONSUMER<br />

PRODUCTS INTENDED FOR CHILDREN.<br />

M. Wade, E. Sciullo, K. Day, R. Sarala, D. Chand, M. DeGuzman, J. Garcha,<br />

F. Hussain, M. Snider and T. Behrsing. Toxic Substances Control, Cal EPA,<br />

Sacramento, CA.<br />

Recently concerns have been raised about toxic chemicals, especially metals, found<br />

in consumer products (CPs). An example is lead (Pb) in children’s toys and jewelry.<br />

We encountered numerous challenges and uncertainties in attempting to perform<br />

risk assessments on CPs containing toxic metals. Risk assessment protocols, and<br />

toxicity and toxicokinetic (TK) data developed for evaluating chronic exposure are<br />

<strong>of</strong>ten inadequate for assessing short-term exposure to CPs; and, risk assessments for<br />

some CPs were developed years ago. We developed a general framework for CP risk<br />

assessment by evaluating risk and identifying uncertainties on a product-specific<br />

basis. Potential hazards from multi-component CPs designed for children and advertised<br />

as lead-free were evaluated by testing metal content, and extractability in<br />

saline and dilute acid solutions mimicking mouthing and swallowing, respectively.<br />

SOT 2010 ANNUAL MEETING 411

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