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dc.contributor.authorLarge, Emma M.
dc.contributor.authorVenkataramanan, Raman
dc.contributor.authorHughes, David J.
dc.contributor.authorStokes, Cynthia L.
dc.contributor.authorChen, Wen Li
dc.contributor.authorEdington, Collin D
dc.contributor.authorSuter, Emily C
dc.contributor.authorYu, Jiajie
dc.contributor.authorVelazquez, Jeremy J.
dc.contributor.authorVelazquez, Jason G
dc.contributor.authorShockley, Michael J
dc.contributor.authorTrumper, David L
dc.contributor.authorCarrier, Rebecca
dc.contributor.authorCirit, Murat
dc.contributor.authorGriffith, Linda G
dc.contributor.authorLauffenburger, Douglas A
dc.date.accessioned2018-09-04T14:32:28Z
dc.date.available2018-09-04T14:32:28Z
dc.date.issued2017-07
dc.date.submitted2017-06
dc.identifier.issn00063592
dc.identifier.urihttp://hdl.handle.net/1721.1/117606
dc.description.abstractA 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.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (grant UH3TR00069)en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (grant Microphysiological Systems Program (W911NF-12-2-00))en_US
dc.publisherWileyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/BIT.26370en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceWileyen_US
dc.titleIntegrated gut/liver microphysiological systems elucidates inflammatory inter-tissue crosstalken_US
dc.typeArticleen_US
dc.identifier.citationChen, Wen L.K., Collin Edington, Emily Suter, Jiajie Yu, Jeremy J. Velazquez, Jason G. Velazquez, Michael Shockley, et al. “Integrated Gut/liver Microphysiological Systems Elucidates Inflammatory Inter-Tissue Crosstalk.” Biotechnology and Bioengineering 114, no. 11 (July 27, 2017): 2648–2659.en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorChen, Wen Li
dc.contributor.mitauthorEdington, Collin D
dc.contributor.mitauthorSuter, Emily C
dc.contributor.mitauthorYu, Jiajie
dc.contributor.mitauthorVelazquez, Jeremy J.
dc.contributor.mitauthorVelazquez, Jason G
dc.contributor.mitauthorShockley, Michael J
dc.contributor.mitauthorTrumper, David L
dc.contributor.mitauthorCarrier, Rebecca
dc.contributor.mitauthorCirit, Murat
dc.contributor.mitauthorGriffith, Linda G
dc.contributor.mitauthorLauffenburger, Douglas A
dc.relation.journalBiotechnology and Bioengineeringen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-08-30T17:30:34Z
dspace.orderedauthorsChen, Wen L.K.; Edington, Collin; Suter, Emily; Yu, Jiajie; Velazquez, Jeremy J.; Velazquez, Jason G.; Shockley, Michael; Large, Emma M.; Venkataramanan, Raman; Hughes, David J.; Stokes, Cynthia L.; Trumper, David L.; Carrier, Rebecca L.; Cirit, Murat; Griffith, Linda G.; Lauffenburger, Douglas A.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1137-0413
dc.identifier.orcidhttps://orcid.org/0000-0002-5248-871X
dc.identifier.orcidhttps://orcid.org/0000-0001-6975-5047
dc.identifier.orcidhttps://orcid.org/0000-0001-5358-5450
dc.identifier.orcidhttps://orcid.org/0000-0002-1801-5548
dc.identifier.orcidhttps://orcid.org/0000-0002-0050-989X
mit.licensePUBLISHER_CCen_US


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