Donzanti Michael J, Ferrick Bryan J, Mhatre Omkar, Chernokal Brea, Renteria Diana C, Gleghorn Jason P
Department of Biomedical Engineering, University of Delaware, Newark, Delaware United States 19713.
ACS Biomater Sci Eng. 2025 Jan 13;11(1):239-248. doi: 10.1021/acsbiomaterials.4c01247. Epub 2024 Nov 28.
Generation of tissue models with serially perfused hierarchical vasculature would allow greater control of fluid perfusion throughout the network and enable direct mechanistic investigation of vasculogenesis, angiogenesis, and vascular remodeling. In this work, we have developed a method to produce a closed, serially perfused, multiscale vessel network fully embedded within an acellular hydrogel, where flow through the capillary bed is required prior to fluid exit. We confirmed that the acellular and cellular gel-gel interface was functionally annealed without preventing or biasing cell migration and endothelial self-assembly. Multiscale connectivity of the vessel network was validated via high-resolution microscopy techniques to confirm anastomosis between self-assembled and patterned vessels. Lastly, using a simple acrylic cassette and fluorescently labeled microspheres, the multiscale network was demonstrated to be perfusable. Directed flow from inlet to outlet mandated flow through the capillary bed. This method for producing closed, multiscale vascular networks was developed with the intention of straightforward fabrication and engineering techniques so as to be a low barrier to entry for researchers who wish to investigate mechanistic questions in vascular biology. This ease of use offers a facile extension of these methods for incorporation into organoid culture, organ-on-a-chip (OOC) models, and bioprinted tissues.
生成具有串联灌注分层血管系统的组织模型,将能够更好地控制整个网络中的流体灌注,并能够直接对血管生成、血管新生和血管重塑进行机制研究。在这项工作中,我们开发了一种方法,以产生完全嵌入无细胞水凝胶中的封闭、串联灌注、多尺度血管网络,在流体流出之前需要流经毛细血管床。我们证实,无细胞和细胞凝胶-凝胶界面在功能上是退火的,不会阻止或偏向细胞迁移和内皮细胞自组装。通过高分辨率显微镜技术验证了血管网络的多尺度连通性,以确认自组装血管和图案化血管之间的吻合。最后,使用一个简单的丙烯酸盒和荧光标记的微球,证明了多尺度网络是可灌注的。从入口到出口的定向流动要求流体流经毛细血管床。开发这种产生封闭、多尺度血管网络的方法,旨在采用直接的制造和工程技术,以便为希望研究血管生物学机制问题的研究人员提供较低的进入门槛。这种易用性为将这些方法轻松扩展到类器官培养、芯片器官(OOC)模型和生物打印组织中提供了便利。