体内
金属有机骨架
癌症治疗
化学
活性氧
水溶液中的金属离子
癌症
纳米技术
材料科学
离子
组合化学
有机化学
医学
生物化学
内科学
吸附
生物技术
生物
作者
Dongdong Wang,Jiajia Zhou,Ruhui Chen,Ruohong Shi,Changlai Wang,Jian Lu,Gaozheng Zhao,Guoliang Xia,Shu Zhou,Zhenbang Liu,Haibao Wang,Zhen Guo,Qianwang Chen
标识
DOI:10.1021/acs.chemmater.6b05215
摘要
Integrated theranostic agents can provide comprehensive and efficient tools for simultaneous cancer diagnosis and therapy; however, limitations on efficiency and safety offer great room for improvement. Artesunate (AS), as an iron-dependent drug, has been investigated in cancer therapy, depending on free-radical generation for its action, which may reduce side effects commonly associated with conventional chemotherapy agents with low selectivity to target tumors. However, rapid clearance of its free form and limited availability of Fe ion in tumor sites become the main bottlenecks in cancer therapy. Herein, core–shell Mn3[Co(CN)6]2@MIL-100(Fe) metal-organic frameworks (CS-MOFs) nanocube was designed using a layer-by-layer method, which holds great potential for synchronous co-delivery of AS and ferric ions for cancer therapy. Moreover, the heterogeneous hybrid CS-MOFs show single- and two-photon fluorescence, together with T2 and enhanced T1 magnetic resonance imaging ability. pH-responsive degradation of CS-MOFs enables on-demand Fe(III) and AS release in the tumor microenvironment. The intracellular ferric ions will further be reduced to ferrous ion that catalyze AS to generate carbon-centered free radicals and reactive oxygen species (ROS). The potential of this alternative antitumor modality under multimodality imaging is demonstrated both in vitro and in vivo. In addition, compared with free AS alone, the nanodrug system CS-MOFs@AS shows significantly enhanced tumor delivery specificity and negligible long-term toxicity. In vivo therapy results indicate that the antitumor efficacy of CS-MOFs@AS was 5.79 times greater than that of free AS, making it a promising Fe2+-mediated drugs delivery system.
科研通智能强力驱动
Strongly Powered by AbleSci AI