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3D Bioprinted Neural Tissues: Emerging Strategies for Regeneration and Disease Modeling
Taekyung Choi1, Jinseok Park1, Suvin Lee1
1Department of Smart Health Science and Technology, Kangwon National University (KNU), Chuncheon-si 24341, Republic of Korea.
Pharmaceutics
|September 27, 2025
Summary
Three-dimensional bioprinting advances neural tissue engineering by creating complex neural constructs. This review compares bioinks and printing methods, highlighting strategies for Schwann cell modulation and axonal guidance.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Neuroscience
Background:
- Three-dimensional (3D) bioprinting is a key technology in regenerative medicine.
- It can replicate the complex structures of the central and peripheral nervous systems.
- Bioprinting enables the creation of engineered tissues mimicking neural microenvironments.
Purpose of the Study:
- To provide a comprehensive review of current bioprinting strategies for neural tissue engineering.
- To compare natural, synthetic, and hybrid polymer-based bioinks.
- To highlight gradient-based modulation of Schwann cell behavior and axonal pathfinding.
Main Methods:
- Review of current literature on 3D bioprinting for neural tissue engineering.
- Comparison of different bioink materials (natural, synthetic, hybrid).
- Analysis of printing modalities (extrusion, inkjet, electrohydrodynamic jet printing).
Main Results:
- Bioprinting strategies can replicate neural microenvironments and guide cell behavior.
- Mechanically and chemically patterned constructs modulate Schwann cell behavior and axonal pathfinding.
- Various printing modalities offer control over spatial organization and microenvironmental cues.
Conclusions:
- 3D bioprinting holds significant potential for neural tissue engineering and treating neurological disorders.
- Key translational challenges include host tissue integration and bioink standardization.
- Emerging directions like AI-guided biofabrication and organ-on-chip integration promise enhanced therapeutic potential.
