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Published on: February 25, 2020
Neurite outgrowth at the biomimetic interface
Celinda M Kofron1, Yu-Ting Liu, Cristina Y López-Fagundo
1Department of Molecular Pharmacology, Physiology, and Biotechnology, Center for Biomedical Engineering, Brown University, Box G-B387, Providence, RI 02912, USA.
Topographical cues from cells are sufficient to guide neuronal growth. Biomimetic materials mimicking cell contours, especially those with sharp edges, enhanced directed growth of dorsal root ganglia (DRG) cells.
Area of Science:
- Biomaterials Science
- Neuroscience
- Tissue Engineering
Background:
- Neuronal growth and directed axon guidance are critical for neural tissue engineering.
- The cellular microenvironment provides complex cues that influence neuronal behavior.
- Deconstructing these cues is essential for developing effective neural regeneration strategies.
Purpose of the Study:
- To isolate and investigate the topographical information from cells as a guidance cue for neurons.
- To determine the capacity of biomimetic materials presenting cell-derived topographies to guide neuronal growth.
- To compare the guidance effects of different cell types' topographies and bioinspired designs.
Main Methods:
- Generated replica materials mimicking the topographies of oriented astrocytes (ACs), endothelial cells (ECs), and Schwann cells (SCs).
- Created computer-aided design (CAD) materials inspired by cell contours (bioinspired-CAD) with distinct topographies and anisotropies.
- Assessed the guidance of dorsal root ganglia (DRG) cells and neurites on these engineered materials.
Main Results:
- Both replica and bioinspired-CAD materials with distinct topographies were sufficient to guide neurons.
- Bioinspired-CAD materials with anisotropic features and 90-degree edges induced the most directed DRG cell and neurite response.
- Schwann cell (SC) bioinspired-CAD materials resulted in the strongest DRG alignment, followed by AC and EC bioinspired-CAD materials.
Conclusions:
- The topographical features of anisotropic tissue structures are sufficient to guide neuronal growth.
- Bioinspired designs, particularly those with specific edge geometries, can optimize topographical guidance.
- This research provides insights into feature dimensions, morphology, and guidepost hypotheses for neural engineering.
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