Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies

Microphysiological systems (MPSs) are in vitro models that capture facets of in vivo organ function through use of specialized culture microenvironments, including 3D matrices and microperfusion. Here, we report an approach to co-culture multiple different MPSs linked together physiologically on re-...

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Κύριοι συγγραφείς: Edington, Collin D, Chen, Wen Li, Geishecker, Emily R, Kassis, Timothy, Soenksen Martinez, Luis Ruben, Bhushan, Brij M, Maass, Christian Alexander, Tsamandouras, Nikolaos, Valdez Macias, Jorge Luis, Cook, Christi Dionne, Yu, Jiajie, Suter, Emily C, Shockley, Michael J, Velazquez, Jason G, Velazquez, Jeremy J., Stockdale, Linda, Papps, Julia P, Lee, Iris, Vann, Nicholas W., Contreras Gamboa, Mario e, LaBarge, Matthew E, Zhong, Zhe, Wang, Xin, Boyer, Laurie Ann, Lauffenburger, Douglas A, Carrier, Rebecca, Communal, Catherine, Tannenbaum, Steven R, Trumper, David L, Cirit, Murat, Griffith, Linda G
Άλλοι συγγραφείς: Massachusetts Institute of Technology. Department of Biological Engineering
Μορφή: Άρθρο
Έκδοση: Nature Publishing Group 2018
Διαθέσιμο Online:http://hdl.handle.net/1721.1/115178
https://orcid.org/0000-0002-5248-871X
https://orcid.org/0000-0003-1137-0413
https://orcid.org/0000-0001-8851-1224
https://orcid.org/0000-0001-7890-7209
https://orcid.org/0000-0003-3227-4631
https://orcid.org/0000-0002-6673-087X
https://orcid.org/0000-0001-8272-6419
https://orcid.org/0000-0001-6975-5047
https://orcid.org/0000-0003-3491-4962
https://orcid.org/0000-0002-0050-989X
https://orcid.org/0000-0001-5358-5450
https://orcid.org/0000-0002-1801-5548
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author Edington, Collin D
Chen, Wen Li
Geishecker, Emily R
Kassis, Timothy
Soenksen Martinez, Luis Ruben
Bhushan, Brij M
Maass, Christian Alexander
Tsamandouras, Nikolaos
Valdez Macias, Jorge Luis
Cook, Christi Dionne
Yu, Jiajie
Suter, Emily C
Shockley, Michael J
Velazquez, Jason G
Velazquez, Jeremy J.
Stockdale, Linda
Papps, Julia P
Lee, Iris
Vann, Nicholas W.
Contreras Gamboa, Mario e
LaBarge, Matthew E
Zhong, Zhe
Wang, Xin
Boyer, Laurie Ann
Lauffenburger, Douglas A
Carrier, Rebecca
Communal, Catherine
Tannenbaum, Steven R
Trumper, David L
Cirit, Murat
Griffith, Linda G
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Edington, Collin D
Chen, Wen Li
Geishecker, Emily R
Kassis, Timothy
Soenksen Martinez, Luis Ruben
Bhushan, Brij M
Maass, Christian Alexander
Tsamandouras, Nikolaos
Valdez Macias, Jorge Luis
Cook, Christi Dionne
Yu, Jiajie
Suter, Emily C
Shockley, Michael J
Velazquez, Jason G
Velazquez, Jeremy J.
Stockdale, Linda
Papps, Julia P
Lee, Iris
Vann, Nicholas W.
Contreras Gamboa, Mario e
LaBarge, Matthew E
Zhong, Zhe
Wang, Xin
Boyer, Laurie Ann
Lauffenburger, Douglas A
Carrier, Rebecca
Communal, Catherine
Tannenbaum, Steven R
Trumper, David L
Cirit, Murat
Griffith, Linda G
author_sort Edington, Collin D
collection MIT
description Microphysiological systems (MPSs) are in vitro models that capture facets of in vivo organ function through use of specialized culture microenvironments, including 3D matrices and microperfusion. Here, we report an approach to co-culture multiple different MPSs linked together physiologically on re-useable, open-system microfluidic platforms that are compatible with the quantitative study of a range of compounds, including lipophilic drugs. We describe three different platform designs - "4-way", "7-way", and "10-way" - each accommodating a mixing chamber and up to 4, 7, or 10 MPSs. Platforms accommodate multiple different MPS flow configurations, each with internal re-circulation to enhance molecular exchange, and feature on-board pneumatically-driven pumps with independently programmable flow rates to provide precise control over both intra- and inter-MPS flow partitioning and drug distribution. We first developed a 4-MPS system, showing accurate prediction of secreted liver protein distribution and 2-week maintenance of phenotypic markers. We then developed 7-MPS and 10-MPS platforms, demonstrating reliable, robust operation and maintenance of MPS phenotypic function for 3 weeks (7-way) and 4 weeks (10-way) of continuous interaction, as well as PK analysis of diclofenac metabolism. This study illustrates several generalizable design and operational principles for implementing multi-MPS "physiome-on-a-chip" approaches in drug discovery.
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spelling mit-1721.1/1151782022-09-30T14:03:59Z Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies Edington, Collin D Chen, Wen Li Geishecker, Emily R Kassis, Timothy Soenksen Martinez, Luis Ruben Bhushan, Brij M Maass, Christian Alexander Tsamandouras, Nikolaos Valdez Macias, Jorge Luis Cook, Christi Dionne Yu, Jiajie Suter, Emily C Shockley, Michael J Velazquez, Jason G Velazquez, Jeremy J. Stockdale, Linda Papps, Julia P Lee, Iris Vann, Nicholas W. Contreras Gamboa, Mario e LaBarge, Matthew E Zhong, Zhe Wang, Xin Boyer, Laurie Ann Lauffenburger, Douglas A Carrier, Rebecca Communal, Catherine Tannenbaum, Steven R Trumper, David L Cirit, Murat Griffith, Linda G Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Biology Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Research Laboratory of Electronics Edington, Collin D Chen, Wen Li Geishecker, Emily R Kassis, Timothy Soenksen Martinez, Luis Ruben Bhushan, Brij M Maass, Christian Alexander Tsamandouras, Nikolaos Valdez Macias, Jorge Luis Cook, Christi Dionne Yu, Jiajie Suter, Emily C Shockley, Michael J Velazquez, Jason G Velazquez, Jeremy J. Stockdale, Linda Papps, Julia P Lee, Iris Vann, Nicholas W. Contreras Gamboa, Mario e LaBarge, Matthew E Zhong, Zhe Wang, Xin Boyer, Laurie Ann Lauffenburger, Douglas A Carrier, Rebecca Communal, Catherine Tannenbaum, Steven R Trumper, David L Cirit, Murat Griffith, Linda G Microphysiological systems (MPSs) are in vitro models that capture facets of in vivo organ function through use of specialized culture microenvironments, including 3D matrices and microperfusion. Here, we report an approach to co-culture multiple different MPSs linked together physiologically on re-useable, open-system microfluidic platforms that are compatible with the quantitative study of a range of compounds, including lipophilic drugs. We describe three different platform designs - "4-way", "7-way", and "10-way" - each accommodating a mixing chamber and up to 4, 7, or 10 MPSs. Platforms accommodate multiple different MPS flow configurations, each with internal re-circulation to enhance molecular exchange, and feature on-board pneumatically-driven pumps with independently programmable flow rates to provide precise control over both intra- and inter-MPS flow partitioning and drug distribution. We first developed a 4-MPS system, showing accurate prediction of secreted liver protein distribution and 2-week maintenance of phenotypic markers. We then developed 7-MPS and 10-MPS platforms, demonstrating reliable, robust operation and maintenance of MPS phenotypic function for 3 weeks (7-way) and 4 weeks (10-way) of continuous interaction, as well as PK analysis of diclofenac metabolism. This study illustrates several generalizable design and operational principles for implementing multi-MPS "physiome-on-a-chip" approaches in drug discovery. United States. Army Research Office (Grant W911NF-12-2-0039) 2018-05-02T17:51:41Z 2018-05-02T17:51:41Z 2018-03 2017-11 2018-04-27T17:16:22Z Article http://purl.org/eprint/type/JournalArticle 2045-2322 http://hdl.handle.net/1721.1/115178 Edington, Collin D. et al. “Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies.” Scientific Reports 8, 1 (March 2018) © 2018 The Author(s) https://orcid.org/0000-0002-5248-871X https://orcid.org/0000-0003-1137-0413 https://orcid.org/0000-0001-8851-1224 https://orcid.org/0000-0001-7890-7209 https://orcid.org/0000-0003-3227-4631 https://orcid.org/0000-0002-6673-087X https://orcid.org/0000-0001-8272-6419 https://orcid.org/0000-0001-6975-5047 https://orcid.org/0000-0003-3491-4962 https://orcid.org/0000-0002-0050-989X https://orcid.org/0000-0001-5358-5450 https://orcid.org/0000-0002-1801-5548 http://dx.doi.org/10.1038/s41598-018-22749-0 Scientific Reports Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ application/pdf Nature Publishing Group Scientific Reports
spellingShingle Edington, Collin D
Chen, Wen Li
Geishecker, Emily R
Kassis, Timothy
Soenksen Martinez, Luis Ruben
Bhushan, Brij M
Maass, Christian Alexander
Tsamandouras, Nikolaos
Valdez Macias, Jorge Luis
Cook, Christi Dionne
Yu, Jiajie
Suter, Emily C
Shockley, Michael J
Velazquez, Jason G
Velazquez, Jeremy J.
Stockdale, Linda
Papps, Julia P
Lee, Iris
Vann, Nicholas W.
Contreras Gamboa, Mario e
LaBarge, Matthew E
Zhong, Zhe
Wang, Xin
Boyer, Laurie Ann
Lauffenburger, Douglas A
Carrier, Rebecca
Communal, Catherine
Tannenbaum, Steven R
Trumper, David L
Cirit, Murat
Griffith, Linda G
Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
title Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
title_full Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
title_fullStr Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
title_full_unstemmed Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
title_short Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
title_sort interconnected microphysiological systems for quantitative biology and pharmacology studies
url http://hdl.handle.net/1721.1/115178
https://orcid.org/0000-0002-5248-871X
https://orcid.org/0000-0003-1137-0413
https://orcid.org/0000-0001-8851-1224
https://orcid.org/0000-0001-7890-7209
https://orcid.org/0000-0003-3227-4631
https://orcid.org/0000-0002-6673-087X
https://orcid.org/0000-0001-8272-6419
https://orcid.org/0000-0001-6975-5047
https://orcid.org/0000-0003-3491-4962
https://orcid.org/0000-0002-0050-989X
https://orcid.org/0000-0001-5358-5450
https://orcid.org/0000-0002-1801-5548
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