Title:
Chemical Engineering Principles in Quantitative Systems Pharmacology to Drive Next-Generation Medical Imaging and Drug Therapy
Chemical Engineering Principles in Quantitative Systems Pharmacology to Drive Next-Generation Medical Imaging and Drug Therapy
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Author(s)
Thurber, Greg
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Abstract
Every drug given to a patient must
reach its site of action in therapeutic concentrations, and similarly, molecular imaging agents need to
reach their target so they can bind or react to generate contrast. At the core of this problem is
multiscale transport, from the macroscopic whole animal/person and organ level to the tissue,
cellular, and subcellular distribution. This distribution is driven by kinetic rates determined by the local
physiology (often out of the molecular engineer’s control) and the drug physicochemical/structural
properties. By applying predictive computational simulations of transport, classic chemical
engineering principles emerge from many pressing problems faced in drug development and imaging
agent design. In this presentation, we will cover three specific examples. First, we’ll analyze targeted
therapeutics in cancer, where reaction-diffusion analysis explains some counter-intuitive results
where less potency can result in higher tumor killing (which needs to be incorporated in drug
development). Second, we’ll discuss imaging agent design for Type 1 diabetes, where off-target expression has stymied the development of an imaging agent for early diagnosis. We’ll present an
imaging strategy using kinetic control of delivery rather than thermodynamic (binding) control that
shows promising results for generating specific targeting. Finally, we’ll demonstrate how multi-scale
modeling can help design orally delivered near-infrared fluorescent imaging agents for needle-free
and radiation-free screening of breast cancer and rheumatoid arthritis. This approach highlights the
capability of molecular imaging to overcome the poor specificity of mammography (resulting in billions
of wasted dollars in over-diagnosis) and the potential for curing rheumatoid arthritis.
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Date Issued
2017-09-12
Extent
62:09 minutes
Resource Type
Moving Image
Resource Subtype
Lecture