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Albumin-templated Biomineralizing Growth of Composite Nanoparticles as Smart Nano-theranostics for Enhanced Radiotherapy of Tumors

Abstract

Hypoxia and dense extracellular matrix within the tumor microenvironment would often lead to the resistance of tumors to radiotherapy. Herein, we use bovine serum albumin (BSA) as a template to induce the growth of both gold (Au) nanoclusters and manganese dioxide (MnO2) via biomineralization. In the obtained BSA-Au-MnO2 composite nanoparticles, Au nanoclusters embedded within BSA not only show strong red fluorescence to facilitate imaging, but also act as a radio-sensitizer by absorbing and depositing X-ray energy within tumors to enhance radiotherapy. Meanwhile, the MnO2 core, which enables the formation of composite nanoparticles by connecting multiple albumins together, is able to modulate the tumor hypoxia by triggering decomposition of tumor endogenous H2O2 into oxygen, so as to reverse hypoxia-associated radiation resistance of tumors. Notably, such BSA-Au-MnO2 composite nanoparticles with larger sizes show prolonged blood circulation and increased tumor accumulation compared to BSA-Au complexes, and would dissociate back into individual BSA-Au complexes once inside the tumor with reduced pH to allow deep interstitial diffusion. As the result, highly effective radiotherapy of tumors is realized with those nanoparticles in a mouse tumor model. Our work thus presents a convenient biomineralization approach to fabricate intelligent multifunctional nanoparticles composed by biocompatible / biodegradable components for enhanced cancer therapy.

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Publication details

The article was received on 20 Jul 2017, accepted on 07 Sep 2017 and first published on 07 Sep 2017


Article type: Paper
DOI: 10.1039/C7NR05316A
Citation: Nanoscale, 2017, Accepted Manuscript
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    Albumin-templated Biomineralizing Growth of Composite Nanoparticles as Smart Nano-theranostics for Enhanced Radiotherapy of Tumors

    J. Chen, Q. Chen, C. Liang, Z. Yang, L. Zhang, X. Yi, Z. Dong, Y. Chao, Y. Chen and Z. Liu, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR05316A

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