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New Tools in ADME Prediction: Quantitative Omics, Liquid Biopsies and Modeling

Monday April 06, 2020

2:00 pm - 3:30 pm Eastern Time (ET)

Room 15 A

DMDD TOX

Chair :

Bhagwat Prasad
University of Washington

Andrew Rowland
Flinders University



Characterization of variability in drug disposition is important for clinical study design and individualized drug treatment. As variability in drug disposition cannot be completely described by genetics, characterization of phenotypic variability is critical. This has fostered the development of plasma-derived exosomes as liquid biopsy and endogenous biomarkers for the prediction of drug metabolism and transport. Integration of metabolomics and proteomics data into physiologically-based pharmacokinetic models also supports data translational for better prediction of drug disposition. This symposium will provide an update on various non-invasive and in silico approaches to drive the prediction of in vivo drug disposition.

Speakers

Andrew Rowland - Flinders University

Exosomes for Prediction of Interindividual Variability in DMEs: How are they Different from Small Molecule Biomarkers?

Aleksandra Galetin - University of Manchester

Modelling and Simulation to Support Qualification of Endogenous Transporter Biomarkers

Emi Kimoto - Pfizer

Utility of Drug Transporter Proteomics to Drive Translational ADME: Modeling of Transporter-mediated Disposition in Non-alcoholic Steatohepatitis (NASH)

Sara Shum - University of Washington

Predicting Renal Clearance of Morphine and Morphine-6-glucuronide using the "Organ-on-a-Chip" Technology and Physiologically-based Pharmacokinetic Modeling