Electrospun Bio-Scaffolds for Mesenchymal Stem Cell-Mediated Neural Differentiation: Systematic Review of Advances and Future Directions
Articolo
Data di Pubblicazione:
2025
Abstract:
Neural tissue injuries, including spinal cord damage and neurodegenerative diseases, pose
a major clinical challenge due to the central nervous system’s limited regenerative capacity.
Current treatments focus on stabilization and symptom management rather than functional
restoration. Tissue engineering offers new therapeutic perspectives, particularly through
the combination of electrospun nanofibrous scaffolds and mesenchymal stem cells (MSCs).
Electrospun fibers mimic the neural extracellular matrix, providing topographical and
mechanical cues that enhance MSC adhesion, viability, and neural differentiation. MSCs
are multipotent stem cells with robust paracrine and immunomodulatory activity, capable
of supporting regeneration and, under proper stimuli, acquiring neural-like phenotypes.
This systematic review, following the PRISMA 2020 method, analyzes 77 selected articles
from the last ten years to assess the potential of electrospun biopolymer scaffolds for MSC-
mediated neural repair. We critically examine the scaffold’s composition (synthetic and
natural polymers), fiber architecture (alignment and diameter), structural and mechanical
properties (porosity and stiffness), and biofunctionalization strategies. The influence of
MSC tissue sources (bone marrow, adipose, and dental pulp) on neural differentiation
outcomes is also discussed. The results of a literature search show both in vitro and in vivo
enhanced neural marker expression, neurite extension, and functional recovery when MSCs
are seeded onto optimized electrospun scaffolds. Therefore, integrating stem cell therapy
with advanced biomaterials offers a promising route to bridge the gap between neural
injury and functional regeneration.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Ruccolo, Luigi; Evangelista, Aleksandra; Benazzo, Marco; Conti, Bice; Pisani, Silvia
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