Cited by 171

Integrated gut/liver microphysiological systems elucidates inflammatory inter‐tissue crosstalk

Chen, Wen L.K., Edington, Collin, Suter, Emily, Yu, Jiajie, Velazquez, Jeremy J., Velazquez, Jason G., Shockley, Michael, Large, Emma M. +8 more·2017·Biotechnology and Bioengineering

Abstract

A capability for analyzing complex cellular communication among tissues is important in drug discovery and development, and in vitro technologies for doing so are required for human applications. A prominent instance is communication between the gut and the liver, whereby perturbations of one tissue can influence behavior of the other. Here, we present a study on human gut‐liver tissue interactions under normal and inflammatory contexts, via an integrative multi‐organ platform comprising human liver (hepatocytes and Kupffer cells), and intestinal (enterocytes, goblet cells, and dendritic cells) models. Our results demonstrated long‐term (>2 weeks) maintenance of intestinal (e.g., barrier integrity) and hepatic (e.g., albumin) functions in baseline interaction. Gene expression data comparing liver in interaction with gut, versus isolation, revealed modulation of bile acid metabolism. Intestinal FGF19 secretion and associated inhibition of hepatic CYP7A1 expression provided evidence of physiologically relevant gut‐liver crosstalk. Moreover, significant non‐linear modulation of cytokine responses was observed under inflammatory gut‐liver interaction; for example, production of CXCR3 ligands (CXCL9,10,11) was synergistically enhanced. RNA‐seq analysis revealed significant upregulation of IFNα/β/γ signaling during inflammatory gut‐liver crosstalk, with these pathways implicated in the synergistic CXCR3 chemokine production. Exacerbated inflammatory response in gut‐liver interaction also negatively affected tissue‐specific functions (e.g., liver metabolism). These findings illustrate how an integrated multi‐tissue platform can generate insights useful for understanding complex pathophysiological processes such as inflammatory organ crosstalk. Biotechnol. Bioeng. 2017;114: 2648–2659. © 2017 Wiley Periodicals, Inc.

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  • Reported GLA-MPSs showed better predictive capabilities of organ-to-organ interaction compared to normal static cell-culture models.

    “They showed better predictive capabilities of organ to organ interaction, compared to normal static cell-culture models.”

    From Gut-liver-axis microphysiological system for studying cellular fluidic shear stress and inter-tissue interaction (2022) · cites this paper as [8]

    The Results section on bile-acid synthesis reports gut–liver crosstalk in the integrated system, including higher FGF19 in interacting than isolated tissue controls. But those controls were single-tissue MPSs on the same platform, not conventional static cell cultures. The paper does not establish that the system has better predictive capability than static models. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • A number of MPSs as an in vitro GLA model (GLA-MPS) have been reported, such as GLA for metabolism and inflammation axes.

    “Thus far, a number of MPSs as an in vitro GLA model (GLA-MPS) have been reported, such as GLA for metabolism and inflammation axess.3,7- 11”

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Authors
Chen, W. L. K., Edington, C., Suter, E., Yu, J., Velazquez, J. J., Velazquez, J. G., Shockley, M., Large, E. M., Venkataramanan, R., Hughes, D. J., Stokes, C. L., Trumper, D. L., Carrier, R. L., Cirit, M., Griffith, L. G., & Lauffenburger, D. A.
Affiliations
  • Department of Biological Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge Massachusetts, 02139
  • CN Bio Innovations Welwyn Garden City Hertfordshire UK
  • Department of Pharmaceutical Sciences School of Pharmacy University of Pittsburgh Pittsburgh Pennsylvania
  • Stokes Consulting Redwood City California
  • Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts
  • Department of Chemical Engineering Northeastern University Boston Massachusetts
Venue
Biotechnology and Bioengineering
Publisher
Wiley
Published
2017-07-27
Volume
114
Issue
11
Pages
2648-2659
ISSN
  • 0006-3592
  • 1097-0290
Cited by
171
References
10
Language
en
Funders
  • National Institutes of Health (UH3TR000696)
  • Defense Advanced Research Projects Agency (Microphysiological Systems Program (W911NF‐12‐2‐00))

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