药品
药物发现
体外
肝病
药理学
计算机科学
计算生物学
医学
内科学
生物信息学
生物
生物化学
作者
Flavio Bonanini,Roelof Dinkelberg,Manuel Caro Torregrosa,Nienke Kortekaas,Tessa M. S. Hagens,Stéphane Treillard,Dorota Kurek,Vincent van Duinen,Paul Vulto,Kristin M. Bircsak
出处
期刊:Biofabrication
[IOP Publishing]
日期:2024-09-30
卷期号:17 (1): 015007-015007
被引量:13
标识
DOI:10.1088/1758-5090/ad818a
摘要
Abstract Drug discovery for complex liver diseases faces alarming attrition rates. The lack of non-clinical models that recapitulate key aspects of liver (patho)-physiology is likely contributing to the inefficiency of developing effective treatments. Of particular notice is the common omission of an organized microvascular component despite its importance in maintaining liver function and its involvement in the development of several pathologies. Increasing the complexity of in vitro models is usually associated with a lack of scalability and robustness which hinders their implementation in drug development pipelines. Here, we describe a comprehensive liver microphysiological system comprising stellates, liver-derived endothelial cells and hepatocytes conceived within a scalable and automated platform. We show that endothelial cells self-organize in a microvascular network when co-cultured with stellates in a hydrogel. In a tri-culture, hepatocytes polarize accordingly, with a basolateral side facing blood vessels and an apical side facing bile-canaliculi-like structures. Stellates interact and surround the hollow microvessels. Steatosis was induced by exogenous administration of fatty acids which could be prevented by co-administration of firsocostat. Administration of TGF- β resulted in an activated stellate cells phenotype which could be prevented by the co-administration of SB-431542. The model was implemented on a microtiter plate format comprising 64 chips which enabled the development of a fully automated, multiplexed fibrosis assay with a robust Z’ factor suitable for high-throughput applications.
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