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Program - Society of Toxicology

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50 th Anniversary Annual Meeting and ToxExpo<br />

<strong>Program</strong> Description (Continued)<br />

Thursday<br />

Abstract # Abstract #<br />

system combined with complex genetic susceptibilities are considered<br />

crucial. In case <strong>of</strong> systemic hypersensitivity to drugs, i.e. drug allergy,<br />

immune responses to non-self drug-modified antigens may be intermingled<br />

with responses to self-antigens. Immune responses against self-antigens are<br />

hallmark <strong>of</strong> autoimmune diseases; however, a low level <strong>of</strong> self-reactivity<br />

is present in healthy individuals and is considered important for immunological<br />

homeostasis. The distinction between allergic and autoimmune<br />

responses induced by chemicals may be a very fine line, reflecting the<br />

relative antigenicity <strong>of</strong> the novel- and self-proteins involved. Importantly,<br />

development <strong>of</strong> allergic or autoimmune clinical phenomena, including<br />

nature and type, may depend on individual susceptibilities (i.e. genetic<br />

polymorphisms), or coinciding environmental triggers (e.g. microbial<br />

interactions). The complex etiology and lack <strong>of</strong> mechanistic knowledge is a<br />

challenge for risk assessment as at present no single model is available that<br />

may predict chemical-induced autoimmunity and systemic allergy. Hazard<br />

and risk assessment <strong>of</strong> these phenomena will likely require a more holistic<br />

translational approach. Exploring the similarities and differences between<br />

chemical-induced autoimmunity and systemic allergy is an important step<br />

to establish a methodological framework to identify chemicals with the<br />

potential to induce these immune system toxicities. Therefore we will focus<br />

on the complex relationship between chemical-induced autoimmunity and<br />

systemic allergy and the identification <strong>of</strong> methods, mechanistic commonalities<br />

and strategies that would be useful for risk assessment.<br />

#2682 9:00 AUTOIMMUNITY VERSUS SYSTEMIC<br />

HYPERSENSITIVITY: COMMONALITIES<br />

USEFUL FOR IMMUNOTOXICITY<br />

TESTING. ​R. Pieters 1 and D. Germolec 2 . 1 IRAS,<br />

Utrecht University, Utrecht, Netherlands and<br />

2<br />

<strong>Toxicology</strong> Branch, National <strong>Toxicology</strong> <strong>Program</strong>,<br />

NIEHS, Research Triangle Park, NC.<br />

9:00 INTRODUCTION. ​Raymond Pieters<br />

#2683 9:05 AUTOIMMUNITY AND AUTOIMMUNE<br />

DISEASE. ​N. Rose. Johns Hopkins University,<br />

Baltimore, MD. Sponsor: R. Pieters.<br />

#2684 9:37 AUTOIMMUNITY VS. ALLERGY: A<br />

CRITICAL NEED IN SAFETY TESTING. ​R.<br />

R. Dietert. Microbiology and Immunology, Cornell<br />

University, Ithaca, NY.<br />

#2685 10:09 MECHANISMS UNDERLYING<br />

HEXACHLOROBENZENE-INDUCED<br />

IMMUNOTOXICITY: COMPARISON WITH<br />

IDIOSYNCRATIC DRUG REACTIONS. ​J.<br />

Ezendam 1 and R. Pieters 2 . 1 National Institute for<br />

Public Health and the Environment, Bilthoven,<br />

Netherlands and 2 Institute for Risk Assessment<br />

Sciences, Utrecht, Netherlands.<br />

#2686 10:41 AUTOIMMUNITY IN IDIOSYNCRATIC<br />

DRUG REACTIONS. ​J. Uetrecht. University <strong>of</strong><br />

Toronto, Toronto, ON, Canada.<br />

#2687 11:13 TRICHLOROETHYLENE-INDUCED<br />

AUTOIMMUNITY; DEPENDENCE<br />

ON METABOLISM AND GENETIC<br />

SUSCEPTIBILITY. ​K. Gilbert 1,2 . 1 Microbiology<br />

and Immunology, Arkansas Children’s Hospital<br />

Research Institute, Little Rock, AR and 2 University<br />

<strong>of</strong> Arkansas for Medical Sciences, Little Rock, AR.<br />

Thursday Morning, March 10<br />

9:00 AM to 11:45 AM<br />

Room 145<br />

Integration <strong>of</strong> Toxicological and Epidemiological Evidence<br />

to Understand Human Risk<br />

Workshop Session: PBPK Model Use in Risk Assessment:<br />

Why Being Published Is Not Enough<br />

Chairperson(s): Paul Schlosser, U.S. EPA, Research Triangle Park, NC,<br />

and Eva McLanahan, U.S. EPA, Research Triangle Park, NC.<br />

Sponsor:<br />

Biological Modeling Specialty Section<br />

Endorsed by:<br />

Mixtures Specialty Section<br />

Risk Assessment Specialty Section<br />

While publication <strong>of</strong> a physiologically-based pharmacokinetic (PBPK)<br />

model in a peer-review journal is a mark <strong>of</strong> good science, evaluation <strong>of</strong><br />

published models and the supporting computer code can identify issues<br />

or shortcomings that can be barriers to their use in risk assessment. The<br />

quality <strong>of</strong> human health risk assessments must be sustained, including use<br />

<strong>of</strong> appropriate PBPK models and other quantitative tools for dose-response<br />

evaluation and interspecies extrapolation. A published model can be modified<br />

to address assessment-specific issues, and having clear criteria can<br />

reduce the number <strong>of</strong> review and revision iterations and hence the time<br />

needed to bring a model to application. As probabilistic (population) PBPK<br />

models are being implemented, parameter choices to fully characterize<br />

population variability become critical. Thus a thorough but efficient process<br />

for the review and implementation <strong>of</strong> PBPK models is necessary. While<br />

a typical process and set <strong>of</strong> criteria were created specifically for PBPK<br />

models, the principles may be applied to other types <strong>of</strong> computational<br />

models (e.g., dose-response) as they are developed. We have convened a<br />

panel <strong>of</strong> experts in biologically-based modeling and relevant quantitative<br />

methods to not only describe and discuss model evaluation and criteria, but<br />

also issues and choices that arise in model application and assuring reasonable<br />

certainty, as well as computational tools now available for improving<br />

model quality. Addressing issues identified during the review and application<br />

<strong>of</strong> PBPK models for human health risk assessments provides an<br />

opportunity to improve the science <strong>of</strong> PBPK modeling as a whole. Attendees<br />

will obtain knowledge to improve their models for use in risk assessment,<br />

evaluate when and how a model can be applied with a fair degree <strong>of</strong><br />

certainty, and better understand the constraints and requirements that may<br />

otherwise limit use <strong>of</strong> a PBPK model. Finally, we will conclude with a panel<br />

discussion and dialogue on the criteria, processes, methods, and choices that<br />

can best assure the use <strong>of</strong> quality PBPK models in future risk assessments.<br />

#2688 9:00 PBPK MODEL USE IN RISK ASSESSMENT:<br />

WHY BEING PUBLISHED IS NOT ENOUGH. ​<br />

E. D. McLanahan. ORD/NCEA, U.S. EPA, Research<br />

Triangle Park, NC.<br />

9:00 INTRODUCTION. ​Eva McLanahan<br />

#2689 9:05 A PROCESS FOR THE EVALUATION AND<br />

IMPLEMENTATION OF PBPK MODELS IN<br />

HUMAN HEALTH RISK ASSESSMENTS. ​H.<br />

A. El-Masri. NHEERL, U.S. EPA, Research Triangle<br />

Park, NC.<br />

#2690 9:37 APPLICATION-SPECIFIC<br />

CONSIDERATIONS IN EVALUATION<br />

OF PHYSIOLOGICALLY-BASED<br />

PHARMACOKINETIC (PBPK) MODELS. ​L.<br />

M. Sweeney. TERA, Cincinnati, OH.<br />

356<br />

Education-Career Development Sessions<br />

Exhibitor Hosted Sessions<br />

Featured Sessions<br />

Historical Highlights<br />

Informational Sessions<br />

Platform Sessions

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