Roy J. Carver Department of Biomedical Engineering, College of Engineering, The University of Iowa, Iowa City, Iowa.
Institute for Vision Research, Department of Ophthalmology and Visual Sciences, Roy J. Carver College of Medicine, The University of Iowa, Iowa City, Iowa.
J Ocul Pharmacol Ther. 2020 Jan/Feb;36(1):42-55. doi: 10.1089/jop.2018.0146. Epub 2019 Aug 16.
Widely used approaches for retinal disease modeling and therapeutic testing can be augmented by using tissue-engineered scaffolds with a precise 3-dimensional structure. However, the materials currently used for these scaffolds are poorly matched to the biochemical and mechanical properties of the retina. Here, we create biopolymer-based scaffolds with a structure that is amenable to retinal tissue engineering and modeling. Optimal two-photon polymerization (TPP) settings, including laser power and scanning speed, are identified for 4 methacrylated biopolymer formulations: collagen, gelatin, hyaluronic acid (HA), and a 50/50 mixture of gelatin/HA, each with methylene blue as a photoinitiator. For select formulations, fabrication accuracy and swelling are determined and biocompatibility is evaluated by using human induced pluripotent stem cells and rat postnatal retinal cells. TPP is feasible for each biopolymer formulation, but it is the most reliable for mixtures containing gelatin and the least reliable for HA alone. The mean size of microscaffold pores is within several microns of the intended value but the overall structure size is several times greater than the modeled volume. The addition of HA to gelatin scaffolds increases cell viability and promotes neuronal phenotype, including Tuj-1 expression and characteristic morphology. We successfully determined a useful range of TPP settings for 4 methacrylated biopolymer formulations. When crosslinked, these extracellular matrix-derived molecules support the growth and attachment of retinal cells. We anticipate that when combined with existing patient-specific approaches, this technique will enable more efficient and accurate retinal disease modeling and therapeutic testing than current techniques allow.
广泛使用的视网膜疾病建模和治疗测试方法可以通过使用具有精确三维结构的组织工程支架来增强。然而,目前用于这些支架的材料与视网膜的生化和机械性能不匹配。在这里,我们创建了具有适合视网膜组织工程和建模的结构的基于生物聚合物的支架。确定了适用于 4 种甲基丙烯酰化生物聚合物配方(胶原、明胶、透明质酸 (HA) 以及明胶/HA 50/50 混合物)的最佳双光子聚合 (TPP) 设置,包括激光功率和扫描速度,每种配方都使用亚甲蓝作为光引发剂。对于选定的配方,确定了制造精度和溶胀,并通过使用人诱导多能干细胞和大鼠出生后视网膜细胞评估生物相容性。TPP 对每种生物聚合物配方都是可行的,但对于含有明胶的混合物最可靠,而对于单独的 HA 最不可靠。微支架孔的平均尺寸与预期值相差几个微米,但整体结构尺寸是模型体积的几倍。向明胶支架中添加 HA 会增加细胞活力并促进神经元表型,包括 Tuj-1 表达和特征形态。我们成功确定了 4 种甲基丙烯酰化生物聚合物配方的有用 TPP 设置范围。交联后,这些细胞外基质衍生的分子支持视网膜细胞的生长和附着。我们预计,当与现有的基于患者的方法结合使用时,这项技术将比当前技术更有效地促进视网膜疾病建模和治疗测试,比当前技术更准确。