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Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous Anastomosis
[Image: see text] The vascular system in living tissues is a highly organized system that consists of vessels with various diameters for nutrient delivery and waste transport. In recent years, many vessel construction methods have been developed for building vascularized on-chip tissue models. These...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249001/ https://www.ncbi.nlm.nih.gov/pubmed/36693007 http://dx.doi.org/10.1021/acsami.2c19453 |
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author | Zhou, Yuyuan Wu, Yue Paul, Ratul Qin, Xiaochen Liu, Yaling |
author_facet | Zhou, Yuyuan Wu, Yue Paul, Ratul Qin, Xiaochen Liu, Yaling |
author_sort | Zhou, Yuyuan |
collection | PubMed |
description | [Image: see text] The vascular system in living tissues is a highly organized system that consists of vessels with various diameters for nutrient delivery and waste transport. In recent years, many vessel construction methods have been developed for building vascularized on-chip tissue models. These methods usually focused on constructing vessels at a single scale. In this work, a method that can build a hierarchical and perfusable vessel networks was developed. By providing flow stimuli and proper HUVEC concentration, spontaneous anastomosis between endothelialized lumens and the self-assembled capillary network was induced; thus, a perfusable network containing vessels at different scales was achieved. With this simple method, an in vivo-like hierarchical vessel-supported tumor model was prepared and its application in anticancer drug testing was demonstrated. The tumor growth rate was predicted by combining computational fluid dynamics simulation and a tumor growth mathematical model to understand the vessel perfusability effect on tumor growth rate in the hierarchical vessel network. Compared to the tumor model without capillary vessels, the hierarchical vessel-supported tumor shows a significantly higher growth rate and drug delivery efficiency. |
format | Online Article Text |
id | pubmed-10249001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102490012023-06-09 Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous Anastomosis Zhou, Yuyuan Wu, Yue Paul, Ratul Qin, Xiaochen Liu, Yaling ACS Appl Mater Interfaces [Image: see text] The vascular system in living tissues is a highly organized system that consists of vessels with various diameters for nutrient delivery and waste transport. In recent years, many vessel construction methods have been developed for building vascularized on-chip tissue models. These methods usually focused on constructing vessels at a single scale. In this work, a method that can build a hierarchical and perfusable vessel networks was developed. By providing flow stimuli and proper HUVEC concentration, spontaneous anastomosis between endothelialized lumens and the self-assembled capillary network was induced; thus, a perfusable network containing vessels at different scales was achieved. With this simple method, an in vivo-like hierarchical vessel-supported tumor model was prepared and its application in anticancer drug testing was demonstrated. The tumor growth rate was predicted by combining computational fluid dynamics simulation and a tumor growth mathematical model to understand the vessel perfusability effect on tumor growth rate in the hierarchical vessel network. Compared to the tumor model without capillary vessels, the hierarchical vessel-supported tumor shows a significantly higher growth rate and drug delivery efficiency. American Chemical Society 2023-01-24 /pmc/articles/PMC10249001/ /pubmed/36693007 http://dx.doi.org/10.1021/acsami.2c19453 Text en © 2023 American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Zhou, Yuyuan Wu, Yue Paul, Ratul Qin, Xiaochen Liu, Yaling Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous Anastomosis |
title | Hierarchical Vessel
Network-Supported Tumor Model-on-a-Chip
Constructed by Induced Spontaneous Anastomosis |
title_full | Hierarchical Vessel
Network-Supported Tumor Model-on-a-Chip
Constructed by Induced Spontaneous Anastomosis |
title_fullStr | Hierarchical Vessel
Network-Supported Tumor Model-on-a-Chip
Constructed by Induced Spontaneous Anastomosis |
title_full_unstemmed | Hierarchical Vessel
Network-Supported Tumor Model-on-a-Chip
Constructed by Induced Spontaneous Anastomosis |
title_short | Hierarchical Vessel
Network-Supported Tumor Model-on-a-Chip
Constructed by Induced Spontaneous Anastomosis |
title_sort | hierarchical vessel
network-supported tumor model-on-a-chip
constructed by induced spontaneous anastomosis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249001/ https://www.ncbi.nlm.nih.gov/pubmed/36693007 http://dx.doi.org/10.1021/acsami.2c19453 |
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