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Coaxial TP/APR electrospun nanofibers for programmed controlling inflammation and promoting bone regeneration in periodontitis-related alveolar bone defect models

牙周炎 牙槽 纳米纤维 炎症 再生(生物学) 促炎细胞因子 化学 牙科 材料科学 医学 免疫学 细胞生物学 生物 纳米技术
作者
Ze He,Shibo Liu,Zhong‐Ming Li,Jiazhuang Xu,Yao Liu,En Luo
出处
期刊:Materials today bio [Elsevier BV]
卷期号:16: 100438-100438 被引量:26
标识
DOI:10.1016/j.mtbio.2022.100438
摘要

Periodontitis is a pathological dental condition that damages the periodontal tissue and leads to tooth loss. Bone regeneration in periodontitis-related alveolar bone defects remains a challenge for periodontists and tissue engineers because of the complex periodontal microenvironment. The inflammatory microenvironment is associated with poor osteogenesis; therefore, the reduction of inflammation is essential for bone regeneration in periodontitis-related alveolar bone defects. Here, we developed a programmed core-shell nanofibers that allows the sequential and controlled release of tea polyphenols (TP) and AdipoRon (APR) to control inflammation and promote bone regeneration to repair periodontitis-related alveolar bone defects. Core-shell nanofibers with a sequentially controlled release function were synthesized using electrospinning. We investigated the therapeutic effects of the nanofibers in vitro and in a mouse periodontitis model. The results of the release profiles demonstrated that TP was released rapidly in the early stages and APR was continuously released thereafter. In vitro experiments showed that the programmed core-shell nanofibers reduced the levels of proinflammatory cytokines and increased osteogenic differentiation in an inflammatory microenvironment. In vivo experiments, the programmed core-shell nanofibers ameliorated periodontal tissue inflammation and improved alveolar bone regeneration. Our results indicated that the programmed core-shell nanofibers with a sequential-release function provides an ideal strategy for repairing periodontitis-related alveolar bone defects, and its application in the treatment of diseases with spatiotemporal specificity is promising.
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