Boosting(机器学习)
化学
癌症研究
医学
药理学
计算机科学
机器学习
作者
Xiaoxi Zhao,Qiyong Zhong,Naibijiang Abudouaini,Yan Zhao,Jibin Zhang,Guozhu Tan,Guifeng Miao,Xiaowu Wang,Jianqiang Liu,Ying‐Xian Pan,Xiaorui Wang
出处
期刊:Biomacromolecules
[American Chemical Society]
日期:2025-04-08
卷期号:26 (5): 3065-3083
被引量:1
标识
DOI:10.1021/acs.biomac.5c00140
摘要
Photodynamic therapy (PDT) has emerged as a promising modality for cancer treatment, but its clinical application is constrained by unexpected phototoxicity arising from nonspecific photosensitizer activation and their "always-on" nature. Herein, we developed a switchable nanophotosensitizer, poly(cation-π) nanoparticles (NP), which achieves supramolecular assembly through cation-π interactions. By coupling choline cationic moieties with aromatic photosensitizers (ZnPc), the polymer facilitates self-assembly driven by cation-π interactions for NP engineering. Surprisingly, the photoactivity of ZnPc was completely quenched upon complexation via cation-π interactions, thereby significantly avoiding skin phototoxicity. Upon targeting tumor cells, NP undergoes a GSH-responsive degradation process that weakens cation-π interactions, leading to spontaneous restoration of photoactivity and amplifying tumor immunogenic pyroptosis. In vivo studies demonstrated that NP achieved a high tumor inhibition rate of 84% while effectively avoiding skin phototoxicity. This work provides a novel perspective for enhancing the safety and efficacy of PDT-based tumor treatment.
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