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Microgel-Extracellular Matrix Composite Support for the Embedded 3D Printing of Human Neural Constructs
Published on: May 5, 2023
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Microgel-Extracellular Matrix Composite Support for the Embedded 3D Printing of Human Neural Constructs.
Janko Kajtez1, Carmen Radeke2, Johan Ulrik Lind2
1Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), University of Copenhagen; janko.kajtez@sund.ku.dk.
Journal of Visualized Experiments : Jove
|May 22, 2023
Summary
This study introduces self-healing annealable particle-extracellular matrix (SHAPE) composites for 3D biofabrication. SHAPE composites enable precise printing of human neural constructs with enhanced cell function and axonal outgrowth.
Area of Science:
- Biomaterials Science
- Tissue Engineering
- Neuroscience
Background:
- 3D bioprinting of soft tissues is advancing, but current granular support media lack crucial cell-instructive functions.
- Existing hydrogel microparticle formulations are limited in biomaterial choice and cost-effectiveness for large-scale production.
Purpose of the Study:
- To develop a novel methodology for creating biofunctional granular support media for 3D bioprinting.
- To demonstrate the precise biofabrication of human neural constructs using this new approach.
Main Methods:
- Fabrication of alginate microparticles as the granular phase and combination with a collagen-based continuous phase to form SHAPE composites.
- 3D printing of human neural stem cells within the SHAPE composite support material.
- Annealing the support material to allow cell differentiation, axonal outgrowth, and interconnection.
Main Results:
- The developed SHAPE composites enable high-fidelity 3D printing with programmable biofunctional environments.
- Printed human neural stem cells successfully differentiated into neurons within the constructs.
- The collagen continuous phase facilitated axonal outgrowth and network formation over weeks.
Conclusions:
- SHAPE composites offer a versatile platform for advanced 3D bioprinting of neural tissues.
- This methodology overcomes limitations of previous granular support media, providing cell-adhesive and instructive properties.
- The study provides a framework for characterizing 3D-printed neural constructs using advanced imaging techniques.

