Quantitative Biofabrication Platform for Collagen‐Based Peripheral Nerve Grafts with Structural and Chemical Guidance

Author:

Wang Heran123ORCID,Hao Yiming4,Guo Kai12,Liu Lianqing12,Xia Bing4,Gao Xue4,Zheng Xiongfei12ORCID,Huang Jinghui4

Affiliation:

1. State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China

2. Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110169 China

3. University of Chinese Academy of Sciences Beijing 100049 China

4. Department of Orthopaedics Xijing Hospital The Fourth Military Medical University Xi'an 710032 China

Abstract

AbstractOwing to its crucial role in the human body, collagen has immense potential as a material for the biofabrication of tissues and organs. However, highly refined fabrication using collagen remains difficult, primarily because of its notably soft properties. A quantitative biofabrication platform to construct collagen‐based peripheral nerve grafts, incorporating bionic structural and chemical guidance cues, is introduced. A viscoelastic model for collagen, which facilitates simulating material relaxation and fabricating collagen‐based neural grafts, achieving a maximum channel density similar to that of the native nerve structure of longitudinal microchannel arrays, is established. For axonal regeneration over considerable distances, a gradient printing control model and quantitative method are developed to realize the high‐precision gradient distribution of nerve growth factor required to obtain nerve grafts through one‐step bioprinting. Experiments verify that the bioprinted graft effectively guides linear axonal growth in vitro and in vivo. This study should advance biofabrication methods for a variety of human tissue‐engineering applications requiring tailored cues.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Pharmaceutical Science,Biomedical Engineering,Biomaterials

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