Peroxynitrite-Responsive Near-Infrared Fluorescent Imaging Guided Synergistic Chemo-Photodynamic Therapy via Biomimetic Metal–Organic Frameworks

过氧亚硝酸盐 光动力疗法 姜黄素 荧光 生物物理学 材料科学 生物相容性 荧光寿命成像显微镜 肿瘤微环境 纳米技术 癌细胞 化学 癌症研究 癌症 生物化学 医学 生物 超氧化物 肿瘤细胞 物理 有机化学 量子力学 内科学 冶金
作者
Fangfang Yu,Tingya Wang,Sheng Wang,Liu Liu,Tengfei Liu,Wenyan Yao,Hongjie Xiong,Jiang Xiao,Xiaohui Liu,Hui Jiang,Xuemei Wang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
标识
DOI:10.1021/acsami.4c07389
摘要

Peroxynitrite (ONOO–) plays a crucial role in maintaining cellular redox homeostasis and regulating diffusive processes, cellular transport, and signal transduction. Extensive studies have revealed that increased ONOO– levels during tumor progression are associated with heightened levels of oxidative stress. However, current methods lack noninvasive visualization, immediate reporting, and highly sensitive fluorescence sensing. In light of this, we have designed a biomimetic fluorescent nanoplatform, named Z-C-T@CM, for peroxynitrite-responsive near-infrared fluorescent imaging guided cancer treatment. The nanoplatform comprises tetrakis(4-carboxyphenyl) porphyrin (TCPP) and curcumin (CCM) encapsulated within a zeolitic imidazolate framework-8 (ZIF-8), which is coated with a mouse breast cancer cell membrane for enhanced biocompatibility and targeting, while evading immune clearance. In vitro experimental results demonstrate that the as-prepared nanoplatform exhibits enhanced near-infrared fluorescence emission upon exposure to ONOO–, indicating a significant potential for noninvasive in vivo imaging of ONOO– during tumor progression. Additionally, Z-C-T@CM readily degrades in the tumor microenvironment, releasing TCPP and CCM, enabling a synergistic chemo-photodynamic therapy with near-infrared illumination. Further investigations indicate that Z-C-T@CM efficiently stimulates a tumor immune response and facilitates therapeutic efficiency. Collectively, this work introduces a novel noninvasive strategy for ONOO– detection, shedding new light on the integration of cancer diagnosis and efficient treatment.

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