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Get Free AccessTargeted and controllable drug release at lesion sites with the aid of visual navigation in real-time is of great significance for precise theranostics of cancers. Benefiting from the marvellous features (e.g. bright emission and phototheranostic effect in aggregates) of aggregation-induced emission (AIE) materials, constructing AIE-based multifunctional nanocarriers that act as all-rounders to integrate multimodalities for precise theranostics is highly desirable. Here, an intelligent nanoplatform (P-TN-Dox@CM) with homologous targeting, controllable drug release, and in vivo dual-modal imaging for precise chemo-photothermal synergistic therapy is proposed. AIE photothermic agent (TN) and anticancer drug (Dox) are encapsulated in thermo-/pH-responsive nanogels (PNA), and the tumor cell membranes are camouflaged onto the surface of nanogels. Active targeting can be realized through homologous effects derived from source tumor cell membranes, which significantly elevates the specific drug delivery to tumor sites. After being engulfed into tumor cells, the nanogels exhibit a burst drug release at low pH. The near-infrared (NIR)-photoinduced local hyperthermia can activate severe cytotoxicity and further accelerate drug release, thus generating enhanced synergistic chemo-photothermal therapy to thoroughly eradicate tumors. Moreover, P-TN-Dox@CM nanogels could achieve NIR-fluorescence/photothermal dual-modal imaging to monitor dynamic distribution of therapeutics in real-time. This work highlights the great potential of smart P-TN-Dox@CM nanogels as a versatile nanoplatform to integrate multimodalities for precise chemo-photothermal synergistic therapy in combating cancers.
Liping Zhang, Ben Zhong Tang, Zheng Zhao, Yu Xiong, Zaiyu Wang, Ben Zhong Tang, Han Yang, Wenjin Wang, Yun Zhao, Wei He, Zijie Qiu, Dong Wang (2023). Multi-stimuli-Responsive and Cell Membrane Camouflaged AIE Nanogels for Precise Chemo-Photothermal Synergistic Therapy of Tumors. , DOI: https://doi.org/10.26434/chemrxiv-2023-rtj79.
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Type
Preprint
Year
2023
Authors
12
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.26434/chemrxiv-2023-rtj79
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