five

Microenvironment-Responsive Multifunctional Enzyme-Linked Hydrogel for Diabetic Bone Defects Regeneration

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE308985
下载链接
链接失效反馈
官方服务:
资源简介:
Diabetes mellitus (DM) bone defects face impaired healing due to hyperglycemia, chronic inflammation, and dysregulated bone remodeling, yet existing therapies lack comprehensive strategies targeting these interconnected issues. To address this, a glucose/ROS-responsive multifunctional hydrogel (AAT-ZCG) was designed, integrating tannic acid (TA)-mediated dynamic borate ester bonds and a cascade nanozyme comprising cerium-zoledronic acid-glucose oxidase (ZCG). The hydrogel enables stimuli-responsive release of TA and ZCG within DM microenvironments, depleting glucose via glucose oxidase-mediated catalysis and mitigating inflammation through cerium-mediated ROS scavenging. Moreover, ZCG modulates macrophage polarization, stimulates angiogenesis and enhances osteogenesis. Acidic byproducts trigger ZCG degradation, releasing zoledronic acid to inhibit excessive osteoclast activation. Transcriptomic analysis revealed upregulated forkhead box O1 transcription factor, a key regulator of bone metabolism and inflammation. This all-in-one platform concurrently addresses pivotal mediators in DM bone defects, overcoming limitations of single-target approaches. By consolidating multifunctional responses, AAT-ZCG provides a concise yet effective strategy for DM bone defect regeneration. RNA was extracted from BMSCs used for osteogenic differentiation experiments in vitro from the control and AAT-ZCG groups. All samples underwent quality control. RNA-seq were performed by a sequencing company (Chi Biotech, Shenzhen, Guangdong, China), which also delivered the initial analysis report. Statistical significance was set at P < 0.05, with a fold change of >2 or <0.5 determining significantly differentially expressed genes (DEGs). These DEGs and different metabolites were then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses.
创建时间:
2025-09-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作