Quantitative Systems Pharmacology Approaches Applied to Microphysiological Systems (MPS): Data Interpretation and Multi-MPS Integration

Our goal in developing Microphysiological Systems (MPS) technology is to provide an improved approach for more predictive preclinical drug discovery via a highly integrated experimental/computational paradigm. Success will require quantitative characterization of MPSs and mechanistic analysis of exp...

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Bibliographic Details
Main Authors: Large, E. M., Hughes, D. J., Stokes, C. L., Yu, Jiajie, Cilfone, Nicholas A., Sarkar, Ujjal, Tannenbaum, Steven R, Lauffenburger, Douglas A, Griffith, Linda G, Cirit, Murat, Wishnok, John S.
Other Authors: Massachusetts Institute of Technology. Center for Gynepathology Research
Format: Article
Language:en_US
Published: Nature Publishing Group 2017
Online Access:http://hdl.handle.net/1721.1/107165
https://orcid.org/0000-0001-6975-5047
https://orcid.org/0000-0002-2325-552X
https://orcid.org/0000-0002-1801-5548
Description
Summary:Our goal in developing Microphysiological Systems (MPS) technology is to provide an improved approach for more predictive preclinical drug discovery via a highly integrated experimental/computational paradigm. Success will require quantitative characterization of MPSs and mechanistic analysis of experimental findings sufficient to translate resulting insights from in vitro to in vivo. We describe herein a systems pharmacology approach to MPS development and utilization that incorporates more mechanistic detail than traditional pharmacokinetic/pharmacodynamic (PK/PD) models. A series of studies illustrates diverse facets of our approach. First, we demonstrate two case studies: a PK data analysis and an inflammation response––focused on a single MPS, the liver/immune MPS. Building on the single MPS modeling, a theoretical investigation of a four-MPS interactome then provides a quantitative way to consider several pharmacological concepts such as absorption, distribution, metabolism, and excretion in the design of multi-MPS interactome operation and experiments.