Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies.
Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies.
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DOI:
10.1038/s41598-018-22749-0
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发表时间:
2018-03-14
影响因子:
4.6
通讯作者:
Griffith LG
中科院分区:
文献类型:
--
作者:
Edington CD;Chen WLK;Geishecker E;Kassis T;Soenksen LR;Bhushan BM;Freake D;Kirschner J;Maass C;Tsamandouras N;Valdez J;Cook CD;Parent T;Snyder S;Yu J;Suter E;Shockley M;Velazquez J;Velazquez JJ;Stockdale L;Papps JP;Lee I;Vann N;Gamboa M;LaBarge ME;Zhong Z;Wang X;Boyer LA;Lauffenburger DA;Carrier RL;Communal C;Tannenbaum SR;Stokes CL;Hughes DJ;Rohatgi G;Trumper DL;Cirit M;Griffith LG
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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影响因子:
120.1
作者:
Cook, David;Brown, Dearg;Pangalos, Menelas N.
通讯作者:
Pangalos, Menelas N.
DOI:
10.1038/nrd4539
发表时间:
2015-04
期刊:
Nature reviews. Drug discovery
影响因子:
--
作者:
Esch EW;Bahinski A;Huh D
通讯作者:
Huh D
影响因子:
4.6
作者:
Bang S;Lee SR;Ko J;Son K;Tahk D;Ahn J;Im C;Jeon NL
通讯作者:
Jeon NL
DOI:
10.14573/altex.1406111
发表时间:
2014
期刊:
ALTEX
影响因子:
--
作者:
Alépée N;Bahinski A;Daneshian M;De Wever B;Fritsche E;Goldberg A;Hansmann J;Hartung T;Haycock J;Hogberg H;Hoelting L;Kelm JM;Kadereit S;McVey E;Landsiedel R;Leist M;Lübberstedt M;Noor F;Pellevoisin C;Petersohn D;Pfannenbecker U;Reisinger K;Ramirez T;Rothen-Rutishauser B;Schäfer-Korting M;Zeilinger K;Zurich MG
通讯作者:
Zurich MG
影响因子:
16.1
作者:
Esch, Mandy B.;Smith, Alec S. T.;Prot, Jean-Matthieu;Oleaga, Carlota;Hickman, James J.;Shuler, Michael L.
通讯作者:
Shuler, Michael L.