Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous Anastomosis.
Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous Anastomosis.
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DOI：
10.1021/acsami.2c19453
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发表时间：
2023-02-08
影响因子：
9.5
通讯作者：
Liu, Yaling
中科院分区：
文献类型：
--
作者：
Zhou, Yuyuan;Wu, Yue;Paul, Ratul;Qin, Xiaochen;Liu, Yaling
活组织中的血管系统是一个高度组织化的系统，由各种直径的血管组成，用于营养物质输送和废物运输。近年来，已经开发了许多血管构建方法来构建血管化的片上组织模型。这些方法通常侧重于建造单一规模的船舶。在这项工作中，开发了一种可以构建分层且可灌注的血管网络的方法。通过提供血流刺激和适当的 HUVEC 浓度，诱导内皮化管腔和自组装毛细血管网络之间的自发吻合；因此，实现了包含不同尺度血管的可灌注网络。通过这种简单的方法，制备了类体内分层血管支持肿瘤模型，并证明了其在抗癌药物测试中的应用。通过结合计算流体动力学模拟和肿瘤生长数学模型来预测肿瘤生长速率，以了解分层血管网络中血管灌注性对肿瘤生长速率的影响。与没有毛细血管的肿瘤模型相比，分层血管支持的肿瘤显示出显着更高的生长速率和药物递送效率。
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.
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影响因子：
19
作者：
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通讯作者：
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影响因子：
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