Advanced bioelectronic scaffolds with electrostimulation for enhanced muscle regeneration
Year: 2026
Type: article
Abstract: Tissue engineering scaffolds are essential for facilitating tissue regeneration, and electrical stimulation has emerged as a powerful complementary strategy to accelerate this process. However, the functionality and performance of current scaffold systems remain suboptimal, limiting their therapeutic potential. In this study, a novel graphene-boron nitride-poly(lactic-co-glycolic acid) (GR-BN-PLGA) scaffold was fabricated using 3D printing technology for the repair of abdominal wall hernias in rats. The scaffold was constructed using two materials with distinct electrical properties, conductive GR-PLGA and insulating BN-PLGA, through a layered printing process. By integrating electrodes and microneedles, the scaffold was designed to establish a centrally directed electric field in the abdominal defect area, enabling effective electrical stimulation therapy. The results demonstrated that the combined application of the scaffold and electrical stimulation significantly upregulated the expression of α-smooth muscle actin, type I collagen, and Cell Proliferation Marker Protein Ki-67, thereby facilitating tissue remodeling. Meanwhile, the lower expression levels of proliferating cell nuclear antigen and connective tissue growth factor effectively suppressed excessive proliferation and fibrosis, aiding in the formation of stable and functional regenerated tissue. The synergistic application of conductive scaffolds and electrical stimulation provides a novel strategy for tissue repair and highlights its tremendous potential in accelerating tissue regeneration and promoting the formation of functional tissues.
Source: Biochemical Engineering Journal
Institutions: Zhejiang University, Sir Run Run Shaw Hospital, Zhejiang Lab
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,820
Awards: G2244832824, G304152131, G5491401481
OpenAlex ID: W7127072261
