State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.
Key Laboratory for Developmental Genes and Human Disease, Ministry of Education, Institute of Life Sciences, Southeast University, Nanjing 210096, China.
Neural Plast. 2018 Dec 9;2018:1021969. doi: 10.1155/2018/1021969. eCollection 2018.
Recent clinical research on neuroengineering is primarily focused on biocompatible materials, which can be used to provide electroactive and topological cues, regulate the microenvironment, and perform other functions. Novel biomaterials for neuroengineering have been received much attention in the field of research, including graphene, photonic crystals, and organ-on-a-chip. Graphene, which has the advantage of high mechanical strength and chemical stability with the unique electrochemical performance for electrical signal detection and transmission, has significant potential as a conductive scaffolding in the field of medicine. Photonic crystal materials, known as a novel concept in nerve substrates, have provided a new avenue for neuroengineering research because of their unique ordered structure and spectral attributes. The "organ-on-a-chip" systems have shown significant prospects for the developments of the solutions to nerve regeneration by mimicking the microenvironment of nerve tissue. This paper presents a review of current progress in the designs of biomaterials and microenvironments and provides case studies in developing nerve system stents upon these biomaterials. In addition, we compose a conductive patterned compounded biomaterial, which could mimic neuronal microenvironment for neuroengineering by concentrating the advantage of such biomaterials.
最近神经工程学的临床研究主要集中在生物相容性材料上,这些材料可以提供电活性和拓扑线索,调节微环境,以及执行其他功能。新型神经工程生物材料在研究领域受到了广泛关注,包括石墨烯、光子晶体和芯片上器官。石墨烯具有机械强度高、化学稳定性好的优点,同时具有独特的电化学性能,可用于电信号检测和传输,因此在医学领域作为导电支架具有很大的潜力。光子晶体材料作为神经基质的新概念,由于其独特的有序结构和光谱特性,为神经工程研究提供了新途径。“芯片上器官”系统通过模拟神经组织的微环境,为解决神经再生问题提供了有前景的解决方案。本文综述了生物材料和微环境设计的最新进展,并提供了基于这些生物材料开发神经系统支架的案例研究。此外,我们还组合了一种导电图案化复合生物材料,该材料可以通过集中这些生物材料的优势来模拟神经元微环境,用于神经工程学。