Multiorgan Microphysiological Systems for Drug Development: Strategies, Advances, and Challenges.
Multiorgan Microphysiological Systems for Drug Development: Strategies, Advances, and Challenges.
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DOI:
10.1002/adhm.201701000
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发表时间:
2018-01
影响因子:
10
通讯作者:
Shuler ML
中科院分区:
文献类型:
--
作者:
Wang YI;Carmona C;Hickman JJ;Shuler ML
Traditional cell culture and animal models utilized for preclinical drug screening have led to high attrition rates of drug candidates in clinical trials due to their low predictive power for human response. Alternative models using human cells to build in vitro biomimetics of the human body with physiologically relevant organ-organ interactions hold great potential to act as “human surrogates” and provide more accurate prediction of drug effects in humans. This review is a comprehensive investigation into the development of tissue-engineered human cell-based microscale multi-organ models, or multi-organ microphysiological systems for drug testing. The evolution from traditional models to macro- and microscale multi-organ systems are discussed in regards to the rationale for recent global efforts in multi-organ microphysiological systems. Current advances in integrating cell culture and on-chip analytical technologies, as well as proof-of-concept applications for these multi-organ microsystems are discussed. Major challenges for the field, such as reproducibility and physiological relevance, are discussed with comparisons of the strengths and weaknesses of various systems to solve these challenges. Conclusions focus on the current development stage of multi-organ microphysiological systems and new trends in the field. Multi-organ microphysiological (MOM) systems are in vitro microscale cell culture analog of the human body (Body-on-a-chip). Tissue engineered single organ models are interconnected to reproduce complex multi-organ interactions. Such biomimetics of the human body can potentially serve as “human surrogates” to simulate human responses to drugs, providing pharmacokinetic and pharmacodynamic information.
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影响因子:
7.3
作者:
Benson K;Cramer S;Galla HJ
通讯作者:
Galla HJ
DOI:
10.1113/expphysiol.1981.sp002529
发表时间:
1981-01-01
影响因子:
--
作者:
BARKER, G;SIMMONS, NL
通讯作者:
SIMMONS, NL
DOI:
10.1602/neurorx.2.4.554
发表时间:
2005-10-01
期刊:
NeuroRx : the journal of the American Society for Experimental NeuroTherapeutics
影响因子:
--
作者:
Alavijeh, Mohammad S;Chishty, Mansoor;Palmer, Alan M
通讯作者:
Palmer, Alan M
影响因子:
3.2
作者:
Bricks, Thibault;Paullier, Patrick;Leclerc, Eric
通讯作者:
Leclerc, Eric
影响因子:
1.7
作者:
Bianconi, Eva;Piovesan, Allison;Canaider, Silvia
通讯作者:
Canaider, Silvia