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Program - Society of Toxicology

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50 th Anniversary Annual Meeting and ToxExpo<br />

Continuing Education (Continued)<br />

CE<br />

subject <strong>of</strong> several other peer-reviewed publications. The 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<br />

and characterizing uncertainty and variability. The course will present<br />

principles for the development, characterization, and communication and<br />

criteria for evaluation <strong>of</strong> PBPK models for risk assessment applications.<br />

A novel inclusion will be a projected demonstration <strong>of</strong> real-time changes<br />

in model outcome that depend on choice <strong>of</strong> model parameter values (e.g.,<br />

breathing rate, metabolic activity). The demonstration <strong>of</strong> user-friendly<br />

model development s<strong>of</strong>tware will be demonstrated in the final lecture.<br />

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

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

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

• Toxicokinetics in Risk Assessment, John C. Lipscomb, U.S. EPA,<br />

Cincinnati, OH<br />

• Developing a PBPK Model, Hugh Barton, Pfizer, Inc., Groton, CT<br />

• Characterizing a PBPK Model, Kannan Krishnan, Université de<br />

Montréal, Montréal, Québec, Canada<br />

• Applying PBPK Models in Risk Assessment, George Loizou, Health<br />

and Safety Laboratory, Buxton, United Kingdom<br />

• Case Study 1, Bette Meek, University <strong>of</strong> Ottawa, Ottawa, Ontario,<br />

Canada<br />

• Case Study 2, Jos Bessems, RIVM, Bilthoven, Netherlands<br />

Sunday Morning, March 6<br />

8:15 AM to 12:00 NOON<br />

First and Second Level (See signage at CE Booths for room<br />

locations)<br />

Cardiovascular <strong>Toxicology</strong><br />

Current Nonclinical Strategies and Methods for Evaluating<br />

Drug-Induced Cardiovascular Toxicity<br />

AM03<br />

CE Basic<br />

Chairperson(s): Hong Wang, Genentech Inc., South San Francisco,<br />

CA, and Dennis J. Murphy, GlaxoSmithKline Pharmaceuticals, King <strong>of</strong><br />

Prussia, PA.<br />

Sponsor:<br />

Cardiovascular <strong>Toxicology</strong> Specialty Section<br />

Endorsed by:<br />

Drug Discovery <strong>Toxicology</strong> Specialty Section<br />

Regulatory and Safety Evaluation Specialty Section<br />

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

<strong>of</strong> drugs or restriction in their labeling and has had an impact on public<br />

health and the rising cost <strong>of</strong> developing new drugs. Early identification<br />

and characterization <strong>of</strong> CV liabilities, better understanding <strong>of</strong> the predictive<br />

values <strong>of</strong> nonclinical models, and an integrated and iterative approach<br />

during drug development could greatly facilitate the development <strong>of</strong> safe<br />

and effective medicines for patients. This course will describe the current<br />

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

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

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

liabilities at later development stages in either animal studies<br />

or in the clinic. Study design and data interpretation will be discussed,<br />

as well as the advantages, limitations, and future directions <strong>of</strong> current<br />

methods involving both functional and structural assessments. Specific<br />

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<br />

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

will be provided to highlight how these data can be used to inform decisions<br />

at different stages <strong>of</strong> development. A regulatory perspective on the<br />

challenges and gaps <strong>of</strong> CV safety evaluations and opportunities available<br />

to improve the overall CV safety assessment paradigm will also be<br />

presented. Overall, this course will provide participants with a broad overview<br />

<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<br />

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

process.<br />

• Opening Remarks and Overview <strong>of</strong> Cardiovascular Toxicity,<br />

Dennis J. Murphy, GlaxoSmithKline Pharmaceuticals, King <strong>of</strong> Prussia,<br />

PA<br />

• Early Identification <strong>of</strong> Cardiovascular Functional Liabilities:<br />

Role <strong>of</strong> In Vitro Assays, Derek Leishman, Eli Lilly & Company,<br />

Indianapolis, IN<br />

• Integrated Assessment <strong>of</strong> Cardiovascular Functional Liabilities: In<br />

Vivo Animal Models, R. Dustan Sarazan, Data Sciences International,<br />

St. Paul, MN<br />

• Assessment <strong>of</strong> Cardiovascular Injury: Morphological Evaluations<br />

and Biomarkers, Brian Berridge, GlaxoSmithKline Pharmaceuticals,<br />

Research Triangle Park, NC<br />

• A Regulatory Perspective on Drug-Induced Cardiovascular<br />

Liabilities: Challenges, Gaps, and Opportunities, John Koerner,<br />

U.S. FDA, Silver Spring, MD<br />

Sunday Morning, March 6<br />

8:15 AM to 12:00 NOON<br />

First and Second Level (See signage at CE Booths for room<br />

locations)<br />

Systems Biology<br />

Dealing with the Data Deluge: A Live Data Discovery and<br />

Analysis Course<br />

AM04<br />

CE Basic<br />

Chairperson(s): Marc E. Gillespie, St. Johns University, Jamaica, NY,<br />

and Susan M. Bello, Jackson Laboratory, Bar Harbor, ME.<br />

Sponsor:<br />

Molecular Biology Specialty Section<br />

NOTE: Due to the unique “hands on” nature <strong>of</strong> this course, it is critical<br />

for AM04 course attendees to bring their own laptop computer as well<br />

as their own Internet network connection. The Walter E. Washington<br />

Convention Center <strong>of</strong>fers Internet service for a nominal fee if attendees<br />

prefer to buy connectivity on-site.<br />

Using Web based resources and tools to gain novel scientific insights<br />

and advance your research is a significant step for all researchers. As<br />

the pace <strong>of</strong> science accelerates, experimental technologies continue<br />

to evolve and the quantity <strong>of</strong> data increases. With the evolution in<br />

biological research comes an increasing reliance on database resources<br />

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

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

challenges. In this course, representatives from a diverse group <strong>of</strong> data<br />

resources have joined their efforts to present a unique series <strong>of</strong> handson<br />

tutorials. The tutorials follow a hypothetical researcher through the<br />

various stages <strong>of</strong> experimental design and data analysis, demonstrating<br />

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

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

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

function, phenotype, xenobiotic interactions) within a submitted data<br />

set; investigate an individual data set with on-line resources, identifying<br />

supplementary information available across multiple data sets; and gain<br />

hands on experience with formatting and submitting data to a diverse set<br />

<strong>of</strong> on-line data resources.<br />

90 SOT 50th Anniversary Annual Meeting

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