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Supporting data for "Localized In-Situ Heating and Self-Regulated Delivery of Antioxidant Nanoparticles in Dynamic Hydrogels for Treating Periodontitis"

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posted on 2025-05-06, 03:34 authored by Shanyu ZhangShanyu Zhang

Periodontitis is a chronic inflammatory disease characterized by excessive reactive oxygen species (ROS) production and tissue destruction, primarily driven by Porphyromonas gingivalis in plaque biofilms. Conventional mechanical treatments face limitations in addressing deep periodontal lesions, while current local drug delivery systems (LDDs) struggle with unregulated and short-term drug release, failing to sustain anti-inflammatory effects. Herein, we propose a multifunctional hydrogel nanoplatform (PP Hydrogel) composed of polydopamine (PDA)-modified Prussian blue nanoparticles (PP NPs) embedded in a hyaluronic acid (HA)-based supramolecular hydrogel. PP NPs serve as antioxidant nanozymes with enhanced stability and photothermal responsiveness, while the supramolecular hydrogel, formed via cyclodextrin-adamantane host–guest interactions, provides an injectable and stimuli-responsive drug carrier. Under near-infrared (NIR) irradiation, the internal nanoparticles convert light energy into heat, inducing in situ self-regulated thermal disruption of the hydrogel network and triggering controlled drug release. Additionally, NIR irradiation enhances the enzymatic activity of PP NPs, facilitating ROS scavenging and immune modulation. Through this synergistic mechanism, PP Hydrogel alleviates oxidative stress, suppresses inflammation, and promotes periodontal tissue regeneration. Altogether, this smart hydrogel system offers a promising strategy for precise and sustained periodontitis treatment, overcoming the challenges associated with traditional therapies.

My dataset is about the characterization of particle size and morphology of nanoparticles, as well as the chemical structure and morphology of hydrogels. It also includes the rheological properties of composite hydrogels and their responsive characterization under near-infrared (NIR). Additionally, the dataset includes characterization of antioxidant and anti-inflammatory properties.

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