4.6 Article

Physical understanding of axonal growth patterns on grooved substrates: groove ridge crossing versus longitudinal alignment

期刊

BIO-DESIGN AND MANUFACTURING
卷 3, 期 4, 页码 348-360

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s42242-020-00089-1

关键词

Grooved substrates; Neuron outgrowth; Axonal outgrowth model; Axonal crossing

资金

  1. National Key Research and Development Program of China [2018YFA0703000]
  2. Key Research and Development Program of Zhejiang Province [2017C01063]
  3. Science Fund for Creative Research Groups of the National Natural Science Foundation of China [51821093]
  4. National Natural Science Foundation of China [U1609207, 11672268]
  5. China Scholarship Council [201906320187]

向作者/读者索取更多资源

Surface topographies such as micrometric edges and grooves have been widely used to improve neuron outgrowth. However, finding the mechanism of neuron-surface interactions on grooved substrates remains a challenge. In this work, PC12 cells and chick forebrain neurons (CFNs) were cultured on grooved and smooth polyacrylonitrile substrates. It was found that CFNs showed a tendency of growing across groove ridges; while PC12 cells were only observed to grow in the longitudinal direction of grooves. To further investigate these observations, a 3D physical model of axonal outgrowth was developed. In this model, axon shafts are simulated as elastic 3D beams, accounting for the axon outgrowth as well as the focal contacts between axons and substrates. Moreover, the bending direction of axon tips during groove ridge crossing is governed by the energy minimization principle. Our physical model predicts that axonal groove ridge crossing is contributed by the bending compliance of axons, caused by lower Young's modulus and smaller diameters. This work will aid the understanding of the mechanisms involved in axonal alignment and elongation of neurons guided by grooved substrates, and the obtained insights can be used to enhance the design of instructive scaffolds for nerve tissue engineering and regeneration applications.

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