@article{1306,
  keywords = {Heart, Liver, MicroRNAs, Skin},
  author = {Kacey Ronaldson-Bouchard and Diogo Teles and Keith Yeager and Daniel Naveed Tavakol and Yimu Zhao and Alan Chramiec and Somnath Tagore and Max Summers and Sophia Stylianos and Manuel Tamargo and Busub Marcus Lee and Susan P. Halligan and Erbil Hasan Abaci and Zongyou Guo and Joanna Jacków and Alberto Pappalardo and Jerry Shih and Rajesh K. Soni and Shivam Sonar and Carrie German and Angela M. Christiano and Andrea Califano and Karen K. Hirschi and Christopher S. Chen and Andrzej Przekwas and Gordana Vunjak-Novakovic},
  title = {A multi-organ chip with matured tissue niches linked by vascular flow},
  abstract = {Engineered tissues can be used to model human pathophysiology and test the efficacy and safety of drugs. Yet, to model whole-body physiology and systemic diseases, engineered tissues with preserved phenotypes need to physiologically communicate. Here we report the development and applicability of a tissue-chip system in which matured human heart, liver, bone and skin tissue niches are linked by recirculating vascular flow to allow for the recapitulation of interdependent organ functions. Each tissue is cultured in its own optimized environment and is separated from the common vascular flow by a selectively permeable endothelial barrier. The interlinked tissues maintained their molecular, structural and functional phenotypes over 4 weeks of culture, recapitulated the pharmacokinetic and pharmacodynamic profiles of doxorubicin in humans, allowed for the identification of early miRNA biomarkers of cardiotoxicity, and increased the predictive values of clinically observed miRNA responses relative to tissues cultured in isolation and to fluidically interlinked tissues in the absence of endothelial barriers. Vascularly linked and phenotypically stable matured human tissues may facilitate the clinical applicability of tissue chips.},
  year = {2022},
  journal = {Nature Biomedical Engineering},
  volume = {6},
  pages = {351-371},
  month = {2022-04},
  issn = {2157-846X},
  doi = {10.1038/s41551-022-00882-6},
  language = {eng},
}