Establishing quasi-steady state operations of microphysiological systems (MPS) using tissue-specific metabolic dependencies.
Establishing quasi-steady state operations of microphysiological systems (MPS) using tissue-specific metabolic dependencies.
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DOI:
10.1038/s41598-018-25971-y
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发表时间:
2018-05-22
影响因子:
4.6
通讯作者:
Cirit M
中科院分区:
文献类型:
--
作者:
Maass C;Dallas M;LaBarge ME;Shockley M;Valdez J;Geishecker E;Stokes CL;Griffith LG;Cirit M
Microphysiological systems (MPS), consisting of tissue constructs, biomaterials, and culture media, aim to recapitulate relevant organ functions in vitro. MPS components are housed in fluidic hardware with operational protocols, such as periodic complete media replacement. Such batch-like operations provide relevant nutrients and remove waste products but also reset cell-secreted mediators (e.g. cytokines, hormones) and potentially limit exposure to drugs (and metabolites). While each component plays an essential role for tissue functionality, MPS-specific nutrient needs are not yet well-characterized nor utilized to operate MPSs at more physiologically-relevant conditions. MPS-specific nutrient needs for gut (immortalized cancer cells), liver (human primary hepatocytes) and cardiac (iPSC-derived cardiomyocytes) MPSs were experimentally quantified. In a long-term study of the gut MPS (10 days), this knowledge was used to design operational protocols to maintain glucose and lactate at desired levels. This quasi-steady state operation was experimentally validated by monitoring glucose and lactate as well as MPS functionality. In a theoretical study, nutrient needs of an integrated multi-MPS platform (gut, liver, cardiac MPSs) were computationally simulated to identify long-term quasi-steady state operations. This integrative experimental and computational approach demonstrates the utilization of quantitative multi-scale characterization of MPSs and incorporating MPS-specific information to establish more physiologically-relevant experimental operations.
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影响因子:
64.8
作者:
Birsoy, Kivanc;Possemato, Richard;Lorbeer, Franziska K.;Bayraktar, Erol C.;Thiru, Prathapan;Yucel, Burcu;Wang, Tim;Chen, Walter W.;Clish, Clary B.;Sabatini, David M.
通讯作者:
Sabatini, David M.
DOI:
10.14573/altex.1603161
发表时间:
2016
期刊:
ALTEX
影响因子:
--
作者:
Marx U;Andersson TB;Bahinski A;Beilmann M;Beken S;Cassee FR;Cirit M;Daneshian M;Fitzpatrick S;Frey O;Gaertner C;Giese C;Griffith L;Hartung T;Heringa MB;Hoeng J;de Jong WH;Kojima H;Kuehnl J;Leist M;Luch A;Maschmeyer I;Sakharov D;Sips AJ;Steger-Hartmann T;Tagle DA;Tonevitsky A;Tralau T;Tsyb S;van de Stolpe A;Vandebriel R;Vulto P;Wang J;Wiest J;Rodenburg M;Roth A
通讯作者:
Roth A
影响因子:
3.8
作者:
Doherty, Kimberly R.;Wappel, Robert L.;Bacus, Sarah
通讯作者:
Bacus, Sarah
影响因子:
4.6
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
通讯作者:
Griffith LG
影响因子:
2.9
作者:
Meadows, Adam L.;Kong, Becky;Clark, Douglas S.
通讯作者:
Clark, Douglas S.