Orr Amanda, Kalantarnia Farnoosh, Nazir Shama, Bolandi Behzad, Alderson Dominic, O'Grady Kerrin, Hoorfar Mina, Julian Lisa M, Willerth Stephanie M
Department of Mechanical Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Mechanical Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Adv Drug Deliv Rev. 2025 Mar;218:115524. doi: 10.1016/j.addr.2025.115524. Epub 2025 Feb 1.
The design of neural tissue models with architectural and biochemical relevance to native tissues opens the way for the fundamental study and development of therapies for many disorders with limited treatment options. Here, we systematically review the most recent literature on 3D bioprinted neural models, including their potential for use in drug screening. Neural tissues that model the central nervous system (CNS) from the relevant literature are reviewed with comprehensive summaries of each study, and discussion of the model types, bioinks and additives, cell types used, bioprinted construct shapes and culture time, and the characterization methods used. In this review, we accentuate the lack of standardization among characterization methods to analyze the functionality (including chemical, metabolic and other pathways) and mechanical relevance of the 3D bioprinted constructs, and discuss this as a critical area for future exploration. These gaps must be addressed for this technology to be applied for effective drug screening applications, despite its enormous potential for rapid and efficient drug screening. The future of biomimetic, 3D printed neural tissues is promising and evaluation of the in vivo relevance on multiple levels should be sought to adequately compare model performance and develop viable treatment options for neurodegenerative diseases, or other conditions that affect the CNS.
设计与天然组织具有结构和生化相关性的神经组织模型，为许多治疗选择有限的疾病的基础研究和治疗方法的开发开辟了道路。在此，我们系统地综述了关于3D生物打印神经模型的最新文献，包括其在药物筛选中的应用潜力。我们对相关文献中模拟中枢神经系统（CNS）的神经组织进行了综述，全面总结了每项研究，并讨论了模型类型、生物墨水和添加剂、所用细胞类型、生物打印构建体的形状和培养时间，以及所使用的表征方法。在本综述中，我们强调在分析3D生物打印构建体的功能（包括化学、代谢和其他途径）和机械相关性的表征方法之间缺乏标准化，并将此作为未来探索的关键领域进行讨论。尽管这项技术在快速高效药物筛选方面具有巨大潜力，但要将其应用于有效的药物筛选应用，必须解决这些差距。仿生3D打印神经组织的未来充满希望，应寻求在多个层面评估其体内相关性，以充分比较模型性能，并为神经退行性疾病或其他影响中枢神经系统的疾病开发可行的治疗方案。
