Directional Submicrofiber Hydrogel Composite Scaffolds Supporting Neuron Differentiation and Enabling Neurite Alignment

Cell cultures aiming at tissue regeneration benefit from scaffolds with physiologically relevant elastic moduli to optimally trigger cell attachment, proliferation and promote differentiation, guidance and tissue maturation. Complex scaffolds designed with guiding cues can mimic the anisotropic nature of neural tissues, such as spinal cord or brain, and recall the ability of human neural progenitor cells to differentiate and align. This work introduces a cost-efficient gelatin-based submicron patterned hydrogel-fiber composite with tuned stiffness, able to support cell attachment, differentiation and alignment of neurons derived from human progenitor cells. The enzymatically crosslinked gelatin-based hydrogels were generated with stiffnesses from 8 to 80 kPa, onto which poly(epsilon-caprolactone) (PCL) alignment cues were electrospun such that the fibers had a preferential alignment. The fiber-hydrogel composites with a modulus of about 20 kPa showed the strongest cell attachment and highest cell proliferation, rendering them an ideal differentiation support. Differentiated neurons aligned and bundled their neurites along the aligned PCL filaments, which is unique to this cell type on a fiber-hydrogel composite. This novel scaffold relies on robust and inexpensive technology and is suitable for neural tissue engineering where directional neuron alignment is required, such as in the spinal cord.

Automated summary

This study introduces a cost-effective gelatin-based submicron patterned hydrogel-fiber composite with tunable stiffness, which can support cell attachment, differentiation, and alignment of neurons. The scaffold combines enzymatically crosslinked gelatin-based hydrogels with electrospun poly(epsilon-caprolactone) (PCL) alignment cues to optimize neuron attachment, proliferation, and alignment. This technology is robust, inexpensive, and suitable for neural tissue engineering requiring directional neuron alignment.