Shear‐Stimulated Bioprinting Enables Anisotropic and Multi‐Region Neural Bioconstruct

ABSTRACT Engineering neural tissues with controlled cellular organization remains challenging due to the limited ability of conventional bioprinting to regulate cellular anisotropy. Here, we present a blade‐assisted shear‐stimulated bioprinting strategy for fabricating anisotropic and multi‐region neural bioconstructs. A blade integrated near the nozzle generated a defined shear field during extrusion, inducing directional alignment of human neural progenitor cells (hNPCs) within a GelMA/HA/Matrigel bioink. Rheological and process analyses identified shear conditions that maximized cellular alignment while maintaining high viability. Shear‐stimulated bioconstructs exhibited enhanced cytoskeletal organization, neurite extension, and neuronal maturation compared with conventional extrusion printing. Furthermore, the system enabled fabrication of multi‐region cellular–acellular–cellular (CAC) neural architectures, in which the acellular interfacial region prevented uncontrolled cellular intermixing while promoting directed neurite bridging and enhanced neuronal connectivity. Mechanistic analyses suggested activation of mechanosensitive signaling pathways associated with cytoskeletal remodeling and neurogenesis. Collectively, these findings demonstrate that process‐defined shear stimulation can program cellular organization and multi‐region neural architectures during bioprinting, providing a promising platform for engineering structurally organized neural tissues for in vitro applications.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-09-17
DOI
https://doi.org/10.1002/adfm.78515
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Shear‐Stimulated Bioprinting Enables Anisotropic and Multi‐Region Neural Bioconstruct

Hanjun Hwangbo, Hansang Cho, GeunHyung Kim, Won-Jin Kim et al.
Advanced Functional Materials
3D Printing in Biomedical Research
article

Shear‐Stimulated Bioprinting Enables Anisotropic and Multi‐Region Neural Bioconstruct

Hanjun Hwangbo, Hansang Cho, GeunHyung Kim, Won-Jin Kim, Huyền Ngô
article en

Abstract

ABSTRACT Engineering neural tissues with controlled cellular organization remains challenging due to the limited ability of conventional bioprinting to regulate cellular anisotropy. Here, we present a blade‐assisted shear‐stimulated bioprinting strategy for fabricating anisotropic and multi‐region neural bioconstructs. A blade integrated near the nozzle generated a defined shear field during extrusion, inducing directional alignment of human neural progenitor cells (hNPCs) within a GelMA/HA/Matrigel bioink. Rheological and process analyses identified shear conditions that maximized cellular alignment while maintaining high viability. Shear‐stimulated bioconstructs exhibited enhanced cytoskeletal organization, neurite extension, and neuronal maturation compared with conventional extrusion printing. Furthermore, the system enabled fabrication of multi‐region cellular–acellular–cellular (CAC) neural architectures, in which the acellular interfacial region prevented uncontrolled cellular intermixing while promoting directed neurite bridging and enhanced neuronal connectivity. Mechanistic analyses suggested activation of mechanosensitive signaling pathways associated with cytoskeletal remodeling and neurogenesis. Collectively, these findings demonstrate that process‐defined shear stimulation can program cellular organization and multi‐region neural architectures during bioprinting, providing a promising platform for engineering structurally organized neural tissues for in vitro applications.

Advanced Functional Materials
Sejong University (KR), Sungkyunkwan University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 21%
3D Printing in Biomedical Research
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Shear‐Stimulated Bioprinting Enables Anisotropic and Multi‐Region Neural Bioconstruct — Hanjun Hwangbo, Hansang Cho, et al. · Advanced Functional Materials (2026) | TGRS Research Map | TGRS