Bridging the Divide between Neuroprosthetic Design, Tissue Engineering and Neurobiology.
Bridging the Divide between Neuroprosthetic Design, Tissue Engineering and Neurobiology.
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DOI：
10.3389/neuro.16.018.2009
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Murthy SK
中科院分区：
文献类型：
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作者：
Leach JB;Achyuta AK;Murthy SK
神经假体装置在治疗瘫痪和中风等各种疾病方面产生了重大影响。然而，该技术进步的主要障碍是由于复杂的内在宿主反应，如神经胶质增生或神经胶质瘢痕形成，在长期植入（数月至数年）期间维持器械性能的挑战。本综述的目的是汇集神经生物学，组织工程和神经修复学的研究社区，以解决神经修复技术转化为长期临床应用中遇到的主要障碍。本文将当前神经修复技术所面临的具体挑战与神经组织工程和神经生物学领域的最新进展联系起来。在设备的背景下，神经系统接口和中枢神经系统植入物，协同机会的领域进行了讨论，包括平台，目前细胞与多种线索，生物活性因子的控制交付，三维结构和体外模型的神经胶质增生和脑损伤，神经再生策略，神经干/祖细胞生物学。最后，最近从发育神经生物学和癌症生物学领域获得的见解进行了讨论，作为令人兴奋的新的生物学知识的例子，可能会提供新的灵感走向新的技术，以解决与长期神经假体设备性能的复杂性。
Neuroprosthetic devices have made a major impact in the treatment of a variety of disorders such as paralysis and stroke. However, a major impediment in the advancement of this technology is the challenge of maintaining device performance during chronic implantation (months to years) due to complex intrinsic host responses such as gliosis or glial scarring. The objective of this review is to bring together research communities in neurobiology, tissue engineering, and neuroprosthetics to address the major obstacles encountered in the translation of neuroprosthetics technology into long-term clinical use. This article draws connections between specific challenges faced by current neuroprosthetics technology and recent advances in the areas of nerve tissue engineering and neurobiology. Within the context of the device–nervous system interface and central nervous system implants, areas of synergistic opportunity are discussed, including platforms to present cells with multiple cues, controlled delivery of bioactive factors, three-dimensional constructs and in vitro models of gliosis and brain injury, nerve regeneration strategies, and neural stem/progenitor cell biology. Finally, recent insights gained from the fields of developmental neurobiology and cancer biology are discussed as examples of exciting new biological knowledge that may provide fresh inspiration toward novel technologies to address the complexities associated with long-term neuroprosthetic device performance.