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Hyaluronic acid conjugated polydopamine functionalized mesoporous silica nanoparticles for synergistic targeted chemo-photothermal therapy

Abstract

The integration of chemotherapy and photothermal therapy into one nanoplatform has attracted much attention for synergistic tumor treatment, but the practical clinical application were usually limited by their synergistic effects and low selectivity for disease sites. To overcome these limitations, a tumor-specific and pH/NIR dual-responsive multifunctional nanocarrier coated by mussel inspired polydopamine and further conjugated with the targeting molecular hyaluronic acid (HA) were designed and fabricated for synergistic targeted chemo-photothermal therapy. The synthesized versatile nanoplatform displayed strong near-infrared absorption because of the successful formation of polydopamine coating. Furthermore, the nanosystem revealed high storage capacity for drugs and pH/NIR dual-responsive release performance, which could effentively enhance the chemo-photothermal therapy effect. With this smart design, in vitro experimental results confirmed that the drug loaded multifunctional nanoparticles could be efficiently uptake by cancer cells, and exhibited remarkable tumor cell killing efficiency and excellent photothermal property. Meanwhile, significant tumor regression in the tumor-bearing mice model was also observed due to the combination of chemotherapy and photothermal therapy. Thus, this work indicated that the simple multifunctional nanoplatform can be applied as an efficient therapeutic agent for site-specific synergetic chemo-photothermal therapy.

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Supplementary files

Publication details

The article was received on 14 Feb 2019, accepted on 10 Apr 2019 and first published on 08 May 2019


Article type: Paper
DOI: 10.1039/C9NR01385G
Nanoscale, 2019, Accepted Manuscript

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    Hyaluronic acid conjugated polydopamine functionalized mesoporous silica nanoparticles for synergistic targeted chemo-photothermal therapy

    C. Chen, W. Tang, D. Jiang, G. Yang, X. Wang, L. Zhou, W. Zhang and P. Wang, Nanoscale, 2019, Accepted Manuscript , DOI: 10.1039/C9NR01385G

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