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2014 ; 60
(4
): 1426-34
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Engineering liver
#MMPMID24668880
Griffith LG
; Wells A
; Stolz DB
Hepatology
2014[Oct]; 60
(4
): 1426-34
PMID24668880
show ga
Interest in "engineering liver" arises from multiple communities: therapeutic
replacement; mechanistic models of human processes; and drug safety and efficacy
studies. An explosion of micro- and nanofabrication, biomaterials, microfluidic,
and other technologies potentially affords unprecedented opportunity to create
microphysiological models of the human liver, but engineering design principles
for how to deploy these tools effectively toward specific applications, including
how to define the essential constraints of any given application (available
sources of cells, acceptable cost, and user-friendliness), are still emerging.
Arguably less appreciated is the parallel growth in computational systems biology
approaches toward these same problems-particularly in parsing complex disease
processes from clinical material, building models of response networks, and in
how to interpret the growing compendium of data on drug efficacy and toxicology
in patient populations. Here, we provide insight into how the complementary paths
of engineering liver-experimental and computational-are beginning to interplay
toward greater illumination of human disease states and technologies for drug
development.
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