Nanobioactive blood-derived shear-thinning biomaterial for tissue engineering applications
Source abstract
Abstract
The conventional technique for successful bone grafts, involving the use of a patienťs own tissue (autografts), is challenged by limited availability and donor site morbidity. While allografts and xenografts offer alternatives, they come with the risk of rejection. This underscores the pressing need for tailor-made artificial bone graft materials. In this context, injectable hydrogels are emerging as a promising solution for bone regeneration, especially in complex maxillofacial reconstruction cases. These hydrogels can seamlessly adapt to irregular shapes and conservatively fill defects. Our study introduces a shear-thinning biomaterial by blending silicate nanoplatelets (SNs) enriched with human blood-derived plasma rich in growth factors (PRGF) for personalized applications. Notably, our investigations unveil that injectable hydrogel formulations comprising 7.5% PRGF yield sustained protein and growth factor release, affording precise control over critical growth factors essential for tissue regeneration. Moreover, our hydrogel exhibits exceptional biocompatibility in vitro and in vivo and demonstrates hemostatic properties. The hydrogel also presents a robust angiogenic potential and an inherent capacity to promote bone differentiation, proven through Alizarin Red staining, gene expression, and immunostaining assessments of bone-related biomarkers. Given these impressive attributes, our hydrogel stands out as a leading candidate for maxillofacial bone regeneration application. Beyond this, our findings hold immense potential in revolutionizing the field of regenerative medicine, offering an influential platform for crafting precise and effective therapeutic strategies.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Periodontal Regeneration and Treatments · Electrospun Nanofibers in Biomedical Applications · Hemostasis and retained surgical items
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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