Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 12, Issue 50, Pages 55624-55637Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.0c16872
Keywords
active targeting; platelet cell membrane; NIR-II; photothermal therapy; photoacoustic imaging; multiple tumor models
Funding
- National Key Research and Development Program of China: Scientific and Technological Innovation Cooperation of Mainland and Macao [2017YFE0120000]
- National SAMP
- T Major Project [2018ZX10301201]
- Natural Science Foundation of China [81972900, 81901812, 91859117, 81771906, 81527901, 81827807, 81971638]
- CAS Key Laboratory of Health Informatics [2011DP173015]
- Natural Science Foundation of Shaanxi Province [2019JZ-13]
- Science and Technology Innovation Fund of Shenzhen [JCYJ20190812163614809, JCYJ20170818161918918]
- Shenzhen Key Laboratory of Ultrasound Imaging and Therapy [ZDSYS201802061806314]
- China Postdoctoral Science Foundation [2019M653129]
- Fundamental Research Funds for the Central Universities [GK201802002]
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Cancer phototheranostics in the second nearinfrared window (NIR-II, 1000-1700 nm) has recently attracted much attention owing to its high efficacy and good safety compared with that in the first near-infrared window (NIR-I, 650-950 nm). However, the lack of theranostic nanoagents with activetargeting features limits its further application in cancer precision therapies. Herein, we constructed platelet-camouflaged nanoprobes with active-targeting characteristics for NIR-II cancer phototheranostics. The as-prepared biomimetic nanoprobes can not only escape phagocytosis by macrophages but also specifically bind to CD44 on the surface of most cancer cells. We evaluated the active-targeting performance of biomimetic nanoprobes in pancreatic cancer, breast cancer, and glioma mouse models and achieved NIR-II photoacoustic imaging with a high signal-to-background ratio and photothermal treatment with excellent tumor growth inhibition. Our results show the great potential of platelet-camouflaged nanoprobes with NIR-II active-targeting features for cancer precision diagnosis and efficient therapies.
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