High-resolution combinatorial 3D printing of gelatin-based biomimetic triple-layered conduits for nerve tissue engineering.
High-resolution combinatorial 3D printing of gelatin-based biomimetic triple-layered conduits for nerve tissue engineering.
复制标题
用于神经组织工程的明胶仿生三层导管的高分辨率组合 3D 打印。
DOI:
10.1016/j.ijbiomac.2020.11.010
复制
发表时间:
2020-11
影响因子:
8.2
通讯作者:
Ramalingam Murugan
中科院分区:
文献类型:
--
作者:
Liu Suihong;Sun Liguo;Zhang Haiguang;Hu Qingxi;Wang Yahao;Ramalingam Murugan
Peripheral nerve injury is a common clinical problem often requiring surgical nerve reconstruction. To this end, tissue-engineered conduit has been proved to be crucial for nerve reconstruction. Despite its progress in recent years, the design and fabrication of translational biomimetic nerve conduits is highly challenging. Therefore, this study aims to design and fabricate mechanically-tunable nerve conduits with biomimetic structural features of the human nerve suitable for nerve tissue engineering. Herein, we employed combinatorial approach comprising of electrohydrodynamic (EHD) jet printing, dip-coating, and electrospinning techniques for fabricating triple-layered conduits. The intricate structural details were achieved via high-resolution EHD jet printed PCL filaments with tunable directionality, as the innermost layer; followed by dip coating of gelatin hydrogels to form the middle layer, and lastly, wrapped with electrospun PCL nanofibers as an outer layer of the conduits. The mechanical properties, porosity, and biocompatibility of the fabricated conduits were studied and compared with control. The results of this study confirmed that the combinatorial approach has greater potential to fabricate mechanically-tunable triple-layered conduits with favorable neuronal precursor and vascular cell compatibility.
登录
查看更多内容
影响因子:
3.3
作者:
Xiao-Feng Zhang;Hai-Xia Liu;Lazarus Santiago Ortiz;Zhong-Dang Xiao;Ning-Ping Huang
通讯作者:
Ning-Ping Huang
影响因子:
8
作者:
Zhuang H;Bu S;Hua L;Darabi MA;Cao X;Xing M
通讯作者:
Xing M
影响因子:
3.9
作者:
Liu Sui Hong;Zhang Hai Guang;Li Shuai;Sun Cheng Yan;Hu Qing Xi
通讯作者:
Hu Qing Xi
影响因子:
17.1
作者:
Wang, Ling;Wu, Yaobin;Ma, Peter X.
通讯作者:
Ma, Peter X.
影响因子:
6.1
作者:
Peng C;Zhang Q;Yang Q;Zhu Q
通讯作者:
Zhu Q