谷歌浏览器插件
订阅小程序
在清言上使用

A Novel Lipopeptide-Functionalized Metal-Organic Framework for Periodontitis Therapy Through the Htra1/FAK/YAP Pathway.

Xuechun Wang,Qing Wang,Jian Wang,Xuan Wang, Linling Yin, Changping Wang, Guangjian Fan, Jinsong Pan

BIOMATERIALS RESEARCH(2024)

引用 0|浏览0
暂无评分
摘要
Periodontitis is a chronic inflammatory disease characterized by plaque accumulation, resulting in immune microenvironment disorders and resorption of alveolar bone. To promote bone healing under inflammatory environments, a functional biomaterial based on disease pathophysiology is designed. A novel fatty acid C10-modified polypeptide, C10-KR8, 10-KR8, is discovered to have excellent abilities in modulating macrophage repolarization and promoting bone regeneration in periodontitis. To build a multifunctional material localized drug delivery system, C10-KR8@ZIF-8 10-KR8@ZIF-8 (C10-KR8-loaded 10-KR8-loaded zeolitic imidazolate framework-8) nanoparticles are constructed to sustainedly release the C10-KR8 10-KR8 peptide and Zn elements. By synergistic effects of providing a dynamic immuno-modulatory environment and promoting osteogenesis under pathological conditions, the obtained pH-responsive nanoparticles display excellent bone regeneration capability. Furthermore, coimmunoprecipitation/liquid chromatography-tandem mass spectrometry analysis and proteomics analysis revealed that the C10-KR8 10-KR8 peptide directly interacts with the high-temperature requirement protein A1 (Htra1), and C10-KR8@ZIF-8 10-KR8@ZIF-8 nanoparticles promote the osteogenic differentiation of bone mesenchymal stem cells by activating the focal adhesion kinase (FAK)/phosphatidylinositide 3-kinase (PI3K)/AKT pathway and enhancing the nuclear localization of Yes-associated protein (YAP). Taken together, this study demonstrates C10-KR8 10-KR8 peptide regulate osteoimmunology and bone regeneration by Htra1/FAK/YAP pathway and that ZIF-8-based peptide loading platform is a promising strategy for periodontitis.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要