Joung Daeha, Lavoie Nicolas S, Guo Shuang-Zhuang, Park Sung Hyun, Parr Ann M, McAlpine Michael C
Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Department of Physics, Virginia Commonwealth University, Richmond, VA 23284, USA.
Department of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN 55455, USA.
Adv Funct Mater. 2020 Jan 3;30(1). doi: 10.1002/adfm.201906237. Epub 2019 Nov 8.
Neural regeneration devices interface with the nervous system and can provide flexibility in material choice, implantation without the need for additional surgeries, and the ability to serve as guides augmented with physical, biological (e.g., cellular), and biochemical functionalities. Given the complexity and challenges associated with neural regeneration, a 3D printing approach to the design and manufacturing of neural devices could provide next-generation opportunities for advanced neural regeneration via the production of anatomically accurate geometries, spatial distributions of cellular components, and incorporation of therapeutic biomolecules. A 3D printing-based approach offers compatibility with 3D scanning, computer modeling, choice of input material, and increasing control over hierarchical integration. Therefore, a 3D printed implantable platform could ultimately be used to prepare novel biomimetic scaffolds and model complex tissue architectures for clinical implants in order to treat neurological diseases and injuries. Further, the flexibility and specificity offered by 3D printed platforms have the potential to be a significant foundational breakthrough with broad research implications in cell signaling and drug screening for personalized healthcare. This progress report examines recent advances in 3D printing strategies for neural regeneration as well as insight into how these approaches can be improved in future studies.
神经再生装置与神经系统相互作用，在材料选择上具有灵活性，无需额外手术即可植入，并且能够作为具备物理、生物（如细胞）和生化功能的引导物。鉴于神经再生的复杂性和挑战，一种用于神经装置设计和制造的3D打印方法，可通过生成解剖学上精确的几何形状、细胞成分的空间分布以及结合治疗性生物分子，为先进的神经再生提供下一代机遇。基于3D打印的方法与3D扫描、计算机建模、输入材料的选择兼容，并能增强对分层整合的控制。因此，一个3D打印的可植入平台最终可用于制备新型仿生支架，并为临床植入模拟复杂的组织结构，以治疗神经疾病和损伤。此外，3D打印平台所提供的灵活性和特异性，有可能成为一个重大的基础性突破，在细胞信号传导和个性化医疗的药物筛选方面具有广泛的研究意义。本进展报告探讨了神经再生3D打印策略的最新进展，以及对如何在未来研究中改进这些方法的见解。
