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Preliminary Program - American Association of Pharmaceutical ...

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70<br />

2009 AAPS Annual Meeting and Exposition<br />

AAPS Pharmacokinetics, Pharmacodynamics and Drug Metabolism (PPDM) <strong>Program</strong>ming<br />

Moderators<br />

Tycho Heimbach, Ph.D., M.S.<br />

Novartis<br />

Jennifer J. Sheng, Ph.D.<br />

AstraZeneca<br />

Minimizing the Guesswork <strong>of</strong> Early Human<br />

Dose Predictions: Application <strong>of</strong> PK Prediction<br />

Methodologies Including PBPK (Part 1)<br />

Steven C. Sutton, Ph.D., R.Ph.<br />

Simulation Consultation Services<br />

Minimizing the Guesswork <strong>of</strong> Early Human<br />

Dose Predictions: Application <strong>of</strong> PK Prediction<br />

Methodologies Including PBPK (Part 2)<br />

Natilie Hosea, Ph.D.<br />

Pfizer, Inc.<br />

7:00 am – 8:15 am<br />

Today, Tomorrow, and Beyond:<br />

Approaches and Challenges in Modeling<br />

Pharmacodynamic Effects with Long<br />

Time Delays<br />

Sunrise Session<br />

This session will provide a comprehensive summary<br />

<strong>of</strong> empirical, semi-mechanistic, and mechanistic<br />

approaches for modeling long time delays in<br />

exposure-response relationships and discuss their<br />

advantages and limitations. Modeling & simulation<br />

activities are widely applied in various stages <strong>of</strong> drug<br />

development, and quantitative model-based drug<br />

development is strongly promoted by U.S. Food and<br />

Drug Administration (FDA) and many pharmaceutical<br />

companies. Establishment <strong>of</strong> exposure-response<br />

relationships and their prospective application<br />

in drug development is <strong>of</strong>tentimes hampered by<br />

long time delays between drug concentration-time<br />

pr<strong>of</strong>iles and effect-time pr<strong>of</strong>iles in the order <strong>of</strong><br />

days, weeks or even months. The development <strong>of</strong><br />

small molecule NCEs as well as biologics may be<br />

complicated by these time delays between exposure<br />

and response. Examples <strong>of</strong> safety as well as efficacy<br />

endpoints include myelosuppression and/or the<br />

antiproliferative effect <strong>of</strong> cancer chemotherapy, the<br />

interaction with processes such as erythropoiesis<br />

and granulocytopoiesis, and the inhibition <strong>of</strong><br />

cytokine signaling leading to clinical disease<br />

improvement. Different approaches to model this<br />

kind <strong>of</strong> delayed effects have emerged in recent<br />

years, for example transit compartment and cell<br />

lifespan models. This sunrise session intends to<br />

provide a comprehensive overview on the available<br />

modeling approaches for delayed PD responses<br />

and will discuss their advantages, disadvantages<br />

and limitations.<br />

Moderators<br />

Nageshwar Budha, Ph.D.<br />

Genentech, Inc.<br />

Bernd Meibohm, Ph.D.<br />

University <strong>of</strong> Tennessee Health Science Center<br />

Empirical and Semi-mechanistic Modeling<br />

Approaches for Long Time Delays in<br />

Concentration Response Pr<strong>of</strong>iles<br />

Lena Friberg, Ph.D.<br />

Uppsala University<br />

Mechanistic Approaches for Modeling Long<br />

Time Delays in Drug Response<br />

Juan Jose Perez Ruixo, Ph.D.<br />

Amgen Inc.<br />

7:00 am – 8:15 am<br />

Pharmacogenetics: Methods and<br />

Clinical Applications<br />

Sunrise Session<br />

This session will introduce the building tools<br />

and technologies that are currently used in<br />

pharmacogenomics (PGx) testing in laboratory<br />

diagnostics, drug therapy, and drug and biomarkers<br />

discovery. The clinical application <strong>of</strong> molecular<br />

diagnostics and relevant SNPs and gene expression<br />

technology used in PGx will be discussed to<br />

illustrate that patient outcome can be optimized and<br />

adverse drug reactions can be minimized through<br />

a combination <strong>of</strong> genetic testing and serum drug<br />

therapeutic level monitoring.<br />

Moderator<br />

Lawrence Fleckenstein, Pharm.D.<br />

University <strong>of</strong> Iowa<br />

Building Tools <strong>of</strong> Pharmacogenetics<br />

Majid Moridani, Pharm.D., Ph.D.<br />

Texas Tech Health Sciences Center<br />

The Application <strong>of</strong> Pharmacogenetics in<br />

Clinical Medicine and Drug Discovery<br />

Gilbert Burckart, Pharm.D., invited<br />

U.S. Food and Drug Administration<br />

WEDNESDAY MORNING SYMPOSIA<br />

Funded by a Grant from<br />

8:30 am – 11:00 am<br />

Pharmacoproteomics: Targeted Absolute<br />

Quantitative Proteomics in ADME<br />

Symposium<br />

Proteins are intimately responsible for modulating<br />

drug disposition, as binding proteins, enzymes <strong>of</strong><br />

metabolism and uptake/efflux transporters. Novel<br />

protein therapeutics are also an increasing fraction<br />

<strong>of</strong> new drugs and endogenous proteins are being<br />

identified as biomarkers <strong>of</strong> disease. Proteins are<br />

<strong>of</strong>ten measured in drug development and discovery<br />

though most quantitative measurements <strong>of</strong> specific<br />

proteins are done using semi-quantitative western<br />

blotting or with ELISA assays. Western blots are<br />

tedious, not very reproducible between or within<br />

labs, are relative quantification, and have a limited<br />

dynamic range. ELISA assays require significant<br />

validation and are <strong>of</strong>ten non-specific. Most limiting<br />

is the requirement <strong>of</strong> a specific antibody that<br />

<strong>of</strong>ten precludes successful quantitation, since<br />

many proteins have resisted extensive efforts to<br />

develop specific antibodies. Moreover, <strong>of</strong>ten a<br />

specific antibody developed for one species will not<br />

be applicable to another, thus necessitating the<br />

laborious development <strong>of</strong> additional antibodies.<br />

Clearly, improved methods to quantify specific<br />

targeted proteins are desirable, and if available,<br />

would benefit drug discovery and development.<br />

Recent reports have demonstrated the ability<br />

<strong>of</strong> LC-MS/MS to quantify proteins in complex<br />

biological matrixes. Targeted absolute quantitative<br />

proteomics (TAQP) is the use <strong>of</strong> LC-MS to quantify<br />

unique peptides characteristic <strong>of</strong> a specific protein.<br />

TAQP is a novel technology to quantify proteins<br />

and should create a new research field, i.e.,<br />

“Pharmacoproteomics” defined as targeted absolute<br />

quantitative proteomics based pharmacokinetics,<br />

pharmacodynamics, toxicokinetics and<br />

toxocodynamics. This symposium will introduce<br />

TAQP and contrast it to other methods for absolute<br />

and relative protein quantitation and global protein<br />

quantification, provide rationale and examples<br />

for the use <strong>of</strong> the method in understanding drug<br />

metabolism, provide rationale, application, and<br />

examples for the use <strong>of</strong> the method in studying drug<br />

transport, and describe how TAQP may be employed<br />

for following protein therapeutics and biomarkers<br />

relevant to disease and drug effects. The speakers<br />

will integrate the use and applicability <strong>of</strong> TAQP to<br />

drug development and pharmacoproteomics.<br />

Moderators<br />

Tetsuya Terasaki, Ph.D.<br />

Tohoku University<br />

Philip C. Smith, Ph.D.<br />

University <strong>of</strong> North Carolina at Chapel Hill<br />

Emerging Techniques in Quantitative<br />

Proteomics for Biomedical Research<br />

Christie Hunter, Ph.D.<br />

Applied Biosystems<br />

Prediction <strong>of</strong> In Vivo ADME Based on the<br />

Transporter Protein Quantification<br />

Tetsuya Terasaki, Ph.D.<br />

Tohoku University<br />

Improved Extrapolation <strong>of</strong> Hepatobiliary<br />

Secretion via Transporter Quantification<br />

Yurong Lai, Ph.D.<br />

Pfizer, Inc.<br />

Quantitative Proteomics <strong>of</strong> Glucuronidation<br />

Philip C. Smith, Ph.D.<br />

University <strong>of</strong> North Carolina at Chapel Hill

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