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Title: Geometric control of vascular networks to enhance engineered tissue integration and function
Authors: Baranski, Jan D *
Chaturvedi, Ritika R *
Stevens, Kelly R *
Eyckmans, Jeroen
Carvalho, Brian
Solorzano, Ricardo D
Yang, Michael T
Miller, Jordan S
Bhatia, Sangeeta N
Chen, Christopher S # ×
Issue Date: May-2013
Publisher: National Academy of Sciences
Series Title: Proceedings of the National Academy of Sciences of the United States of America vol:110 issue:19 pages:7586-91
Article number: 10.1073/pnas.1217796110
Abstract: Tissue vascularization and integration with host circulation remains a key barrier to the translation of engineered tissues into clinically relevant therapies. Here, we used a microtissue molding approach to demonstrate that constructs containing highly aligned "cords" of endothelial cells triggered the formation of new capillaries along the length of the patterned cords. These vessels became perfused with host blood as early as 3 d post implantation and became progressively more mature through 28 d. Immunohistochemical analysis showed that the neovessels were composed of human and mouse endothelial cells and exhibited a mature phenotype, as indicated by the presence of alpha-smooth muscle actin-positive pericytes. Implantation of cords with a prescribed geometry demonstrated that they provided a template that defined the neovascular architecture in vivo. To explore the utility of this geometric control, we implanted primary rat and human hepatocyte constructs containing randomly organized endothelial networks vs. ordered cords. We found substantially enhanced hepatic survival and function in the constructs containing ordered cords following transplantation in mice. These findings demonstrate the importance of multicellular architecture in tissue integration and function, and our approach provides a unique strategy to engineer vascular architecture.
URI: 
ISSN: 0027-8424
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
* (joint) first author
× corresponding author
# (joint) last author

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