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The Toxicologist - Society of Toxicology

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1 BIODEGRADABLE MATERIALS FOR TISSUE<br />

ENGINEERING: APPLICATIONS AND SAFETY<br />

ASSESSMENT.<br />

R. P. Brown 1 and R. W. Hutchinson 2 . 1 U.S. FDA, Silver Spring, MD and 2 Johnson<br />

& Johnson, <strong>The</strong> Woodlands, TX.<br />

<strong>The</strong> incorporation <strong>of</strong> biodegradable materials as a fundamental component in tissue<br />

regeneration strategies began in the early 1980’s and continues today. <strong>The</strong> function<br />

<strong>of</strong> a biodegradable material is to act as a temporary support matrix for transplanted<br />

or host cells so as to restore, maintain, or improve tissue. In order for this<br />

function to be achieved, biodegradable materials must undergo a number <strong>of</strong> critical<br />

examinations to define their properties. For example, degradation rate, degradation<br />

products, and the tissue response to these products must all be characterized. In this<br />

presentation we will introduce a number <strong>of</strong> natural and synthetic biodegradable<br />

materials that are commonly considered in regenerative medicine, as well as some<br />

recently developed novel materials. <strong>The</strong> techniques utilized to describe their physical<br />

properties and the relationship between physical properties and tissue response<br />

will be examined, and advanced techniques for material characterization and toxicological<br />

effects will be considered. Finally, the application <strong>of</strong> these biodegradable<br />

materials in tissue engineering strategies will be described.<br />

2 BEST PRACTICES FOR DEVELOPING,<br />

CHARACTERIZING, AND APPLYING<br />

PHYSIOLOGICALLY BASED PHARMACOKINETIC<br />

MODELS IN RISK ASSESSMENT.<br />

B. Meek 1 and J. C. Lipscomb 2 . 1 University <strong>of</strong> Ottowa, Ottowa, ON, Canada and<br />

2 U.S. EPA, Cincinnatti, OH.<br />

This course is aimed at increasing confidence in the evaluation and application <strong>of</strong><br />

PBPK models in quantitative health risk assessments, through systematic consideration<br />

<strong>of</strong> relevant criteria for their development and documentation, based on guidance.<br />

<strong>The</strong>se principles (Best Practices for PBPK Modeling Applied to Health Risk<br />

Assessment) have been recently collected and expanded upon in guidance published<br />

by the WHO International Programme on Chemical Safety (2010), and<br />

have been the subject <strong>of</strong> several other peer-reviewed publications. <strong>The</strong> course comprises<br />

lectures describing the link between mode <strong>of</strong> action, dose-response characterization<br />

and risk assessment, and the role <strong>of</strong> PBPK models in reducing and characterizing<br />

uncertainty and variability. <strong>The</strong> course will present principles for the<br />

development, characterization, and communication and criteria for evaluation <strong>of</strong><br />

PBPK models for risk assessment applications. A novel inclusion will be a projected<br />

demonstration <strong>of</strong> real-time changes in model outcome that depend on choice <strong>of</strong><br />

model parameter values (e.g., breathing rate, metabolic activity). <strong>The</strong> demonstration<br />

<strong>of</strong> user-friendly model development s<strong>of</strong>tware will be demonstrated in the final<br />

lecture. This will show the impact <strong>of</strong> choices for parameter values, and models will<br />

be exercised and the results interpreted to produce quantitative values to be used in<br />

place <strong>of</strong> uncertainty factors in health risk assessments.<br />

3 CURRENT NON-CLINICAL STRATEGIES AND<br />

METHODS FOR EVALUATING DRUG-INDUCED<br />

CARDIOVASCULAR TOXICITY.<br />

H. Wang 1 and D. J. Murphy 2 . 1 Genentech Inc., South San Francisco, CA and<br />

2 GlaxoSmithKline Pharmaceuticals, King <strong>of</strong> Prussia, PA.<br />

Cardiovascular (CV) toxicity is among the major causes <strong>of</strong> withdrawal <strong>of</strong> drugs or<br />

restriction in their labeling and has had an impact on public health and the rising<br />

cost <strong>of</strong> developing new drugs. Early identification and characterization <strong>of</strong> CV liabilities,<br />

better understanding <strong>of</strong> the predictive values <strong>of</strong> nonclinical models, and an<br />

integrated and iterative approach during drug development could greatly facilitate<br />

the development <strong>of</strong> safe and effective medicines for patients. This course will describe<br />

the current in vitro and in vivo methods for evaluation <strong>of</strong> functional and<br />

structural CV liabilities, and discuss the strategies that can be applied at early stages<br />

<strong>of</strong> drug development to help reduce attrition and to avoid unanticipated liabilities<br />

at later development stages in either animal studies or in the clinic. Study design<br />

and data interpretation will be discussed, as well as the advantages, limitations, and<br />

future directions <strong>of</strong> current methods involving both functional and structural assessments.<br />

Specific topics such as integration <strong>of</strong> functional CV endpoints into repeat-dose<br />

toxicity studies, methods for identification and characterization <strong>of</strong> cardiac<br />

arrhythmia, and special considerations for testing oncology and diabetes drugs<br />

and biologics will be covered. In addition, case study examples will be provided to<br />

highlight how these data can be used to inform decisions at different stages <strong>of</strong> development.<br />

A regulatory perspective on the challenges and gaps <strong>of</strong> CV safety evaluations<br />

and opportunities available to improve the overall CV safety assessment par-<br />

adigm will also be presented. Overall, this course will provide participants with a<br />

broad overview <strong>of</strong> the types <strong>of</strong> drug-induced CV liabilities, the current nonclinical<br />

strategies and methodologies for early detection <strong>of</strong> CV liabilities, and a regulatory<br />

perspective on the impact <strong>of</strong> CV toxicity on the drug-development process.<br />

4 DEALING WITH THE DATA DELUGE: A LIVE DATA<br />

DISCOVERY AND ANALYSIS COURSE.<br />

M. E. Gillespie 1 and S. M. Bello 2 . 1 Saint Johns University, Jamaica, NY and<br />

2 Jackson Laboratory, Bar Harbor, ME.<br />

Using web-based resources and tools to gain novel scientific insights and advance<br />

your research is a significant step for all researchers. As the pace <strong>of</strong> science accelerates,<br />

experimental technologies continue to evolve and the quantity <strong>of</strong> data increases.<br />

With the evolution in biological research comes an increasing reliance on<br />

database resources and computational analysis tools to parse and integrate this<br />

growing mass <strong>of</strong> biological data. <strong>The</strong> field <strong>of</strong> toxicology is not exempt from these<br />

challenges. In this course, a diverse group <strong>of</strong> data resources have joined their efforts<br />

to present a unique series <strong>of</strong> hands-on tutorials. <strong>The</strong> tutorials follow a hypothetical<br />

researcher through the various stages <strong>of</strong> experimental design and data analysis,<br />

demonstrating how the different workshop resources can be used to facilitate all<br />

steps <strong>of</strong> the research process. Participants will identify orthologous biological information<br />

across different species; identify biological trends (pathway, function, phenotype,<br />

xenobiotic interactions) within a submitted data set; investigate an individual<br />

data set with on-line resources, identifying supplementary information available<br />

across multiple data sets; and gain hands on experience with formatting and submitting<br />

data to a diverse set <strong>of</strong> on-line data resources.<br />

Today toxicologists must select appropriate model organisms, manage abundant<br />

high-throughput data, understand legacy data, and develop pathway-based understanding<br />

<strong>of</strong> environmental factors influencing biological systems. Mastery <strong>of</strong> these<br />

concepts improves toxicity prediction while providing insights into environmentally<br />

influenced diseases and phenotypes. A clear understanding <strong>of</strong> the diverse online<br />

data resource aims and limitations equips the researcher with the best combination<br />

<strong>of</strong> resources to effectively address their questions.<br />

5 EPIGENETICS IN TOXICOLOGY: INTRODUCTION,<br />

MECHANISTIC UNDERSTANDING, AND<br />

APPLICATIONS IN SAFETY ASSESSMENT.<br />

M. S. Mitra 1 and T. Sussan 2 . 1 Washington University School <strong>of</strong> Medicine, Saint<br />

Louis, MO and 2 Johns Hopkins University Bloomberg School <strong>of</strong> Public Health,<br />

Baltimore, MD.<br />

Epigenetics refers to molecular mechanisms that cause heritable changes in gene expression<br />

without altering the DNA sequence. <strong>The</strong> most widely studied epigenetic<br />

mechanisms encompass DNA methylation, histone modifications, and gene regulation<br />

by non-coding RNAs, such as microRNAs. Typically these mechanisms are required<br />

for normal cellular development and differentiation; however, perturbations<br />

in them can lead to diseases, notably cancer. Increasing evidence suggests that environmental<br />

factors such as diet, stress, and exposure to radiation and xenobiotics can<br />

induce heritable changes in the epigenetic status, potentially affecting the health <strong>of</strong><br />

the present and future generations. Importantly, the long-term and life-threatening<br />

consequences <strong>of</strong> environment/chemical-induced changes in epigenetics makes this<br />

field a critical area for future exploration by toxicologists. <strong>The</strong> course will begin by<br />

introducing the fundamental concepts <strong>of</strong> epigenetics and reviewing the various underlying<br />

mechanisms. Methods to assess epigenetic changes will be discussed, followed<br />

by a discussion <strong>of</strong> the role <strong>of</strong> DNA cytosine methylation in the regulation <strong>of</strong><br />

carcinogen-inducible CYP450 genes. Mechanistic understanding <strong>of</strong> the role <strong>of</strong><br />

microRNAs in the regulation <strong>of</strong> cellular toxicity and the influence <strong>of</strong> environment<br />

on epigenetics that cause developmental defects will also be presented. Finally, the<br />

future <strong>of</strong> epigenetics in toxicology and its potential applications for safety assessment<br />

will be discussed. Students as well as toxicologists working in academia, federal<br />

and pharmaceutical industries, and researchers interested in mechanistic toxicology<br />

will benefit from taking this course.<br />

6 PROTECTING HUMAN HEALTH: USE OF<br />

TOXICOLOGICAL AND EPIDEMIOLOGICAL DATA IN<br />

DETERMINING SAFE LEVELS FOR HUMAN<br />

EXPOSURE.<br />

E. P. Hayes 1 and T. Gordon 2 . 1 EP Hayes <strong>Toxicology</strong> Services LLC, Longmont, CO<br />

and 2 New York University School <strong>of</strong> Medicine, Tuxedo, NY.<br />

Toxicological and epidemiological data are essential to risk assessment processes<br />

used to determine acceptable levels <strong>of</strong> exposure, both for the general public who<br />

may be exposed to pollutants via ambient air and/or drinking water, for workers<br />

SOT 2011 ANNUAL MEETING 1

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