Related Experiment Video
Updated: Mar 13, 2026

Porous Silicon Microparticles for Delivery of siRNA Therapeutics
Published on: January 15, 2015
Dynamic glucose-responsive mesoporous silica nanoparticle coating on trabecular tantalum implants for dual mode drug
Shiqing Ma1, Mengzhen Cui2,3, Kexin Chang2,3
1Department of Stomatology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Abstract:
Implant integration is severely impacted by diabetes mellitus impaired bone formation and chronic inflammation. Pronounced fluctuations in blood glucose levels further hinder therapeutic regulation, rendering static drug-release strategies inadequate. To address this issue, we developed a trabecular tantalum implant with a porous structure mimicking cancellous bone mechanics, coated with phenylboronic acid-modified mesoporous silica nanoparticles loaded with aspirin. This design enables dynamic, glucose-responsive, dual-mode drug delivery; under normoglycemia, aspirin is released slowly to promote osteogenesis, whereas under hyperglycemia, its release is accelerated to suppress inflammation. In vitro, the coating enhanced the osteogenic differentiation of stem cells and promoted M2 macrophage polarization. In a diabetic rat defect model, this system improved osseointegration and reduced inflammatory responses. These findings indicate that we developed a metabolically adaptive implant surface that integrates trabecular tantalum with glucose-responsive nanocarriers. By coupling drug release kinetics with the metabolic status, this strategy addresses the dual obstacles of impaired osteogenesis and inflammation in diabetes and advances the development of smart biomaterials for clinical translation.
Related Concept Videos
Site-Targeted Drug Delivery Systems: Polymeric Carriers
Modified-Release Drug Delivery Systems: Site-Targeted
Transdermal Drug Delivery Systems
Modified-Release Drug Delivery Systems: Stimuli-Activated
Modified-Release Drug Delivery Systems: Rate-Programmed II
Modified-Release Drug Delivery Systems: Rate-Programmed I

