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Program - Society of Toxicology

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44 th Annual Meeting<br />

and ToxExpo<br />

<strong>Program</strong> Description<br />

Wednesday Afternoon, March 9<br />

1:30 PM to 4:30 PM<br />

Room RO6<br />

WORKSHOP SESSION: SKIN MODEL SELECTION FOR SAFETY<br />

ASSESSMENT OF TOPICAL DRUG PRODUCTS: REGULATORY<br />

AND INDUSTRY PERSPECTIVES<br />

Chairperson(s): Guilin Gary Qiao, U.S. FDA, Rockville, MD and Abby<br />

Jacobs, U.S. FDA, Rockville, MD.<br />

Endorsed by:<br />

Regulatory and Safety Evaluation SS<br />

Risk Assessment SS<br />

Student Advisory Committee<br />

Improper skin model selection in drug R&D and regulatory approval may<br />

under- or over-estimate systemic toxicity risk <strong>of</strong> a topical drug, resulting in<br />

significant resource and public health costs. Comparison and careful selection<br />

<strong>of</strong> in vitro versus in vivo, animal versus human, healthy versus diseased skin<br />

models under various exposure conditions during topical drug development and<br />

approval are critical. However, our knowledge base in chemical dermal absorption<br />

is mainly built on the healthy skin absorption data. For this reason, the<br />

regulatory evaluation <strong>of</strong> drug safety pr<strong>of</strong>ile has been largely based on healthy<br />

skin study data submitted by drug sponsors, especially in the animal drug sector.<br />

FDA, per its general guidelines, requires target animal safety pr<strong>of</strong>iles to be<br />

tested in healthy subjects for veterinary drug products including topical drugs to<br />

be applied to diseased skin. Human dermal drug safety testing employs a wider<br />

range <strong>of</strong> animal models for various purposes. The question is weather the<br />

healthy skin data can predict what happens in patients with compromised skin<br />

and weather our testing methods are reflecting the most recent progresses in this<br />

filed. Data have suggested diseased or damaged skin can compromise skin<br />

barrier function, and thus enhance systemic as well as local toxicity risk. Those<br />

issues deserve closer research and regulatory attention. Through this workshop,<br />

impact <strong>of</strong> compromised skin barrier function by skin diseases or by other exposure<br />

variables on systemic versus local, short term versus long term risk are<br />

addressed from academic research, industrial R&D, and regulatory approval<br />

perspectives. Comparative skin histology, skin biology, skin barrier function<br />

assessment, dermal absorption, cutaneous drug disposition, and government<br />

guidelines for safety testing <strong>of</strong> human and animal dermal drugs are to be<br />

discussed with research data. Inputs from the scientific community on those<br />

issues are helpful for future government guideline revisions.<br />

#1690 1:30 SKIN MODEL SELECTION FOR SAFETY<br />

ASSESSMENT OF TOPICAL DRUG PRODUCTS:<br />

REGULATORY AND INDUSTRY<br />

PERSPECTIVES. G. G. Qiao. CVM and CDER, U.S.<br />

FDA, Rockville, MD.<br />

#1691 1:40 COMPARATIVE MODEL SELECTION<br />

BETWEEN SPECIES AND ABNORMAL SKIN:<br />

MORPHOLOGY, DERMAL DRUG DELIVERY,<br />

AND OVERALL BARRIER FUNCTION. N. A.<br />

Monteiro-Riviere. Center for Chemical <strong>Toxicology</strong><br />

Research and Pharmacokinetics, North Carolina State<br />

University, Raleigh, NC.<br />

#1692 2:20 SKIN MODEL SELECTION IN TOPICAL DRUG<br />

R&D AND REGULATORY APPROVAL:<br />

CHALLENGES AND SOLUTIONS IN DRUG<br />

SAFETY ASSESSMENT. G. G. Qiao 1 and A. C.<br />

Jacobs 2 . 1 CVM, U.S. FDA, Rockville, MD and 2 CDER,<br />

U.S. FDA, Rockville, MD.<br />

#1693 3:00 TEST METHODS AND MODELS USED IN THE<br />

DEVELOPMENT OF TOPICALLY-APPLIED<br />

PRODUCTS. J. F. Nash. Central Product Safety,<br />

Procter & Gamble Company, Cincinnati, OH.<br />

#1694 3:40 GUIDANCE AND ANIMAL MODEL SELECTION<br />

FOR SAFETY ASSESSMENTS FOR DERMAL<br />

DRUG PRODUCT DEVELOPMENT AND<br />

APPROVAL. A. Jacobs 1 and G. Qiao 2 . 1 CDER U.S.<br />

FDA, Rockville, MD and 2 CVM U.S. FDA, Rockville,<br />

MD.<br />

Abstracts 1695-1699 moved forward to follow 1642.<br />

Wednesday Afternoon, March 9<br />

1:30 PM to 4:30 PM<br />

Room RO1<br />

PLATFORM SESSION: BIOINFORMATICS: APPLICATIONS TO<br />

TOXICOLOGY<br />

Chairperson(s): Kyle Kolaja, Iconix, Mountain View, CA and John Schlager,<br />

Wright Patterson, AFB, Wright-Patterson AFB, OH.<br />

#1700 1:30 SUPPORT VECTOR MACHINE ALGORITHM<br />

FOR THE PREDICTION OF GENE FUNCTION<br />

USING A LARGE CHEMOGENOMIC<br />

REFERENCE DATABASE. G. Natsoulis, M. Fielden,<br />

W. Hu, S. Dunlea, B. Eynon and K. Kolaja.<br />

Chemogenomics and <strong>Toxicology</strong>, Iconix<br />

Pharmaceuticals Inc., Mountain View, CA.<br />

#1701 1:50 A MULTIVARIATE DATA ANALYSIS<br />

TECHNIQUE FROM THE SYNTHESIS OF A<br />

PRIORI KNOWLEDGE AND EMBEDDED<br />

STATISTICAL STRUCTURE. P. Wilson. Air Force<br />

Research Laboratory, Wright-Patterson AFB, OH.<br />

Sponsor: J. Schlager.<br />

#1702 2:10 PROBING ALTERATIONS OF THE<br />

MITOCHONDRIAL MEMBRANE PROTEOME IN<br />

A MURINE MODEL OF PARKINSON’S DISEASE<br />

USING LIQUID CHROMATOGRAPHY-TANDEM<br />

MASS SPECTROMETRY. D. R. Cawthon 1 , J. A.<br />

Gantt 2 , M. B. Goshe 2 , Z. A. Xu 1 , W. Slikker 1 and S. F.<br />

Ali 1 . 1 Neurotoxicology, U.S. FDA/NCTR, Jefferson, AR<br />

and 2 Molecular and Structural Biochemistry, NC State<br />

University, Raleigh, NC.<br />

#1703 2:30 NOVEL NETWORK ANALYSIS FOR<br />

TOXICOLOGY USING KEYMOLNET. H. Sato, M.<br />

Fukuda, M. Shigetaka, N. Iwasaki, Y. Inoue, Y.<br />

Kikushima, K. Nakanishi, M. Ogura, Y. Wakamatsu, H.<br />

Kuriki, Y. Mizoguchi, R. Taniguchi, T. Nanba, Y. Ozeki,<br />

A. Nogi and A. Itai. Bioinformatics, Institute <strong>of</strong><br />

Medicinal Molecular Design, Inc. (IMMD), Tokyo,<br />

Japan. Sponsor: Y. Aoki.<br />

#1704 2:50 BIOINFORMATICS METHODS FOR LIVER<br />

CANCER ANALYSIS USING CROSS SPECIES<br />

MAPPING BASED ON RAT GENE EXPRESSION<br />

PROFILING. W. Tong 1 , H. Fang 2 , R. Perkins 2 , L. Shi 1 ,<br />

S. H. Yim 3 , J. M. Ward 3 and Y. P. Dragan 1 . 1 Systems<br />

<strong>Toxicology</strong>, National Center for Toxicolological<br />

Research, Jefferson, AR, 2 Division <strong>of</strong> Bioinformatics,<br />

Z-Tech, NCTR, Jefferson, AR and 3 Center for Cancer<br />

Research, National Cancer Institiute, Bethesda, MD.<br />

WEDNESDAY<br />

up-to-date information at www.toxicology.org 179

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