A 3D biomimetic liver sinusoid construct for predicting physiology and toxicity Approximately 90% of drug candidates entering Phase 1 clinical trials fail, and one of the main reasons for drug failure is unexpected toxicity. The liver plays a centra role in the human body, contributing to homeostasis and important functions such as biotransformation and metabolism of drugs. The liver is also the most common target for drug-induced toxicity. Existing in vitro models and in vivo animal models have limited predictive power for human liver toxicity. The goal of this project is to construct a microfluidic liver modul which mimics the functions and responses of the human liver, with readouts designed to indicate both normal liver function and toxic responses. This human liver model is expected to be the essential elimination organ for modeling human exposure, provide improved predictions of drug induced liver toxicity, and also serve as a disease model for drug discovery. Our approach will be to develop a 3D microfluidic system with human hepatocyte, kupffer, stellate and endothelial cells, to mimic the liver acinus - the smallest functional unit of the liver. A uniue feature of the model will be the oxygenation of the media, and the establishment of an oxygen gradient, which is believed to account for important metabolic, gene expression and functional heterogeneity of the hepatocytes in the sinusoidal space of normal human liver. Hepatocytes in the oxygen rich zone are efficient in oxidative metabolism, fatty acid oxidation, gluconeogenesis, bile acid extraction, ammonia detoxification to urea and glutathione-conjugation while hepatocytes in the oxygen depleted zone are efficient in glycolysis, liponeogenesis and Cytochrome P-450 biotransformation. Another unique feature of the model will be the incorporation of 'sentinel' biosensor cells, a small fraction of cells with engineered biosensors that indicate changes in cellular functions. When combined with other fluorescent probes, standard biochemical and mass spectroscopy readouts, the model will provide a real-time High Content Analysis (HCA) profile to monitor organ function and response. The selection and validation of readouts and performance of the model will be evaluated based on a panel of reference drugs with available clinical data. To facilitate that comparison, a database of drugs with clinical data, and data from other in vitro and in vivo studies will be constructed. The ultimate goal of this project is to develop a microfluidic model of human liver function that will integrate with a series of other human organ modules, to create a microphysiology platform that reproduces human clinical trial results and provides improved predictivity of exposure, safety and efficacy for drug development. The liver plays a central role in human drug interactions, both within the liver and in other organs, as a result of drug metabolism. The performance of the liver module is central to the performance of the microphysiology platform. We believe the design proposed here will optimally recapitulate human liver function on that platform.

Public Health Relevance

The liver plays a central role in human drug interactions and is also the most common target for drug-induced toxicity, resulting in costly, late stage drug failures. The goal of this project is to construct a microfluidic liver module which mimics the functions and responses of the human liver, with readouts designed to indicate both normal liver function and toxic responses. This module will be designed to integrate with other organ models forming a human microphysiology platform to improve drug efficacy and safety testing.

Agency
National Institute of Health (NIH)
Institute
National Center for Advancing Translational Sciences (NCATS)
Type
Exploratory/Developmental Cooperative Agreement Phase II (UH3)
Project #
3UH3TR000503-04S1
Application #
9105648
Study Section
Program Officer
Tagle, Danilo A
Project Start
2015-09-01
Project End
2016-06-30
Budget Start
2015-09-01
Budget End
2016-06-30
Support Year
4
Fiscal Year
2015
Total Cost
$231,000
Indirect Cost
$81,000
Name
University of Pittsburgh
Department
Biology
Type
Schools of Medicine
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Beckwitt, Colin H; Clark, Amanda M; Wheeler, Sarah et al. (2018) Liver 'organ on a chip'. Exp Cell Res 363:15-25
Li, Xiang; George, Subin M; Vernetti, Lawrence et al. (2018) A glass-based, continuously zonated and vascularized human liver acinus microphysiological system (vLAMPS) designed for experimental modeling of diseases and ADME/TOX. Lab Chip 18:2614-2631
Jia, Shanhang; Miedel, Mark T; Ngo, Marilyn et al. (2018) Clinically Observed Estrogen Receptor Alpha Mutations within the Ligand-Binding Domain Confer Distinguishable Phenotypes. Oncology 94:176-189
Ramani, Sasirekha; Crawford, Sue E; Blutt, Sarah E et al. (2018) Human organoid cultures: transformative new tools for human virus studies. Curr Opin Virol 29:79-86
Kang, Inhae; Chu, Charleen T; Kaufman, Brett A (2018) The mitochondrial transcription factor TFAM in neurodegeneration: emerging evidence and mechanisms. FEBS Lett 592:793-811
Gough, Albert; Stern, Andrew M; Maier, John et al. (2017) Biologically Relevant Heterogeneity: Metrics and Practical Insights. SLAS Discov 22:213-237
Soto-Gutierrez, Alejandro; Gough, Albert; Vernetti, Lawrence A et al. (2017) Pre-clinical and clinical investigations of metabolic zonation in liver diseases: The potential of microphysiology systems. Exp Biol Med (Maywood) 242:1605-1616
Vernetti, Lawrence A; Vogt, Andreas; Gough, Albert et al. (2017) Evolution of Experimental Models of the Liver to Predict Human Drug Hepatotoxicity and Efficacy. Clin Liver Dis 21:197-214
Watson, David E; Hunziker, Rosemarie; Wikswo, John P (2017) Fitting tissue chips and microphysiological systems into the grand scheme of medicine, biology, pharmacology, and toxicology. Exp Biol Med (Maywood) 242:1559-1572
Cyr, Kevin J; Avaldi, Omero M; Wikswo, John P (2017) Circadian hormone control in a human-on-a-chip: In vitro biology's ignored component? Exp Biol Med (Maywood) 242:1714-1731

Showing the most recent 10 out of 27 publications