Construction and Application of in vitro Alveolar Models Based on 3D Printing Technology

Tiankun Liu , Chang Zhou , Yongchun Shao , Zhuo Xiong , Ding Weng , Yuan Pang , Wei Sun
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引用次数: 1

Abstract

Increasing lung diseases, mutating coronaviruses, and the development of new compounds urgently require biomimetic in vitro lung models for lung pathology, toxicology, and pharmacology. The current construction strategies for lung models mainly include animal models, 2D cell culture, lung-on-a-chip, and lung organoids. However, current models face difficulties in reproducing in vivo-like alveolar size and vesicle-like structures, and are unable to contain multiple cell types. In this study, a strategy for constructing alveolar models based on degradable hydrogel microspheres is proposed. Hydrogel microspheres, 200–250 µm in diameter, were prepared using a self-developed printing technique driven by alternating viscous and inertial forces. Microcapsules were further constructed using a coacervation-based layer-by-layer technique and core liquefaction. Three types of cells were inoculated and co-cultured on hydrogel capsules based on optimized microcapsule surface treatment strategies. Finally, an in vitro three-dimensional endothelial alveolar model with a multicellular composition and vesicle-like structure with a diameter of approximately 230 µm was successfully constructed. Cells in the constructed alveolar model maintained a high survival rate. The LD50 values of glutaraldehyde based on the constructed models were in good agreement with the reference values, validating the potential of the model for future toxicant and drug detection.

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基于3D打印技术的体外肺泡模型构建及应用
肺部疾病的增加、冠状病毒的变异以及新化合物的开发迫切需要体外仿生肺模型来进行肺病理、毒理学和药理学研究。目前肺模型的构建策略主要包括动物模型、二维细胞培养、肺芯片、肺类器官等。然而,目前的模型在复制体内样肺泡大小和囊泡样结构方面存在困难,并且无法包含多种细胞类型。本研究提出了一种基于可降解水凝胶微球构建肺泡模型的策略。采用自行开发的打印技术,在粘性和惯性力交替驱动下制备了直径为200-250µm的水凝胶微球。利用基于凝聚的逐层技术和核心液化进一步构建微胶囊。根据优化后的微胶囊表面处理策略,将3种类型的细胞接种在水凝胶胶囊上共培养。最后,成功构建了直径约230µm、具有多细胞组成和囊泡样结构的体外三维内皮肺泡模型。在构建的肺泡模型中,细胞保持了较高的存活率。基于所构建模型的戊二醛LD50值与参考值吻合较好,验证了该模型在未来毒物和药物检测中的潜力。
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