A Human Neural Tube Model Using 4D Self-Folding Smart Scaffolds

Area of Science:

• Developmental Biology
• Biotechnology
• Regenerative Medicine

Background:

• The human brain develops from the neural tube, a complex process involving precise molecular and cellular regulation.
• Existing models often fail to fully capture the intricate architecture and developmental dynamics of the human neural tube.

Purpose of the Study:

• To develop a novel 4D-neural tube (4D-NT) model using stem cell technology and 4D bioprinting.
• To mimic the self-folding and cellular architecture of the developing human neural tube.
• To create a platform for studying human neural development and associated diseases.

Main Methods:

• Utilized 4D bioprinting to create a self-folding scaffold capable of mimicking neural tube formation.
• Populated the scaffold with induced pluripotent stem cell (iPSC)-derived neuroprogenitors.
• Investigated the self-folding mechanism driven by differential swelling properties of bilayer films.
• Analyzed neuroprogenitor induction and recapitulated disease models using patient-derived iPSCs.

Main Results:

• Successfully generated a 4D-NT model that self-folds upon hydration, mimicking neural tube cellular architecture.
• Demonstrated highly efficient induction of neuroprogenitors on the 4D-NT, reflecting the complexity of neural development.
• Validated the 4D-NT platform by recapitulating known observations in microcephaly models using WDR62-mutated iPSCs.

Conclusions:

• The 4D-NT platform effectively models the spatial and structural complexity of the developing human neural tube.
• This advanced model serves as a valuable tool for understanding human neural development and diseases like microcephaly.
• The combination of stem cells and 4D bioprinting offers a promising approach for future regenerative medicine applications.