journal article·2021-12

Targeted hot ion therapy of infected wound by glycol chitosan and polydopamine grafted Cu-SiO2 nanoparticles

Qing Xu, Feng Jiang, Geyong Guo, Endian Wang, Muhammad Rizwan Younis, Zhaowenbin Zhang, Feiyang Zhang, Zhiguang Huan, Chen Fan, Chen Yang, Hao Shen, Jiang Chang

Nano Today· Volume 41
Publisher page

Abstract

Abstract Quick and effective elimination of drug-resistant bacteria and simultaneous repairing the infectious tissue remain challenging in clinics. In this study, multifunctional glycol chitosan and polydopamine coated copper-doped mesoporous silica (MCS@PDA@GCS) nanoparticles with near-infrared (NIR) photothermal conversion ability and bacteria-targeting property are prepared. When infection occurred, the environment becomes acidic, and MCS@PDA@GCS nanoparticles with pH-sensitive could be accumulated on the surface of the bacteria. The NIR light-induced heating and Cu ions released from MCS@PDA@GCS nanoparticles created a distinct “hot ions effect”, showing high-efficiency, quick and long-term inhibition of bacteria (methicillin-resistant Staphylococcus aureus (MRSA) and Escherichia coli (E. coli)) as well as biofilm. In addition, the MCS@PDA@GCS nanoparticles with “mild hot ions effect” could induce macrophages polarization into a pro-inflammatory M1 phenotype, resulting in the clearance of infection through the immune-antibacterial effect. Moreover, the “mild hot ions effect” endows MCS@PDA@GCS nanoparticles with remarkable bioactivity, which stimulates the migration and angiogenesis of endothelial cells. The in vivo results confirmed that MCS@PDA@GCS nanoparticles with laser irradiation could efficiently remove bacteria and significantly promote wounds closure, epithelization and angiogenesis during infectious wound healing process.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Wound Healing and Treatments · Bone Tissue Engineering Materials · Nanoplatforms for cancer theranostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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