期刊
NANO LETTERS
卷 19, 期 7, 页码 4213-4220出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.8b04411
关键词
Dynamic assembly; iron oxide nanoparticle; pH -sensitive; T1MR imaging; tumor diagnosis
类别
资金
- National Key Research and Development Program of China [2016YFA0203600]
- National Natural Science Foundation of China [31822019, 51703195, 91859116, 81430040, 81571738]
- One Belt and One Road International Cooperation Project from Key Research and Development Program of Zhejiang Province [2019C04024]
- Zhejiang Provincial Natural Science Foundation of China [LGF19C100002]
- Fundamental Research Funds for the Central Universities [2018QNA7020]
- Young Elite Scientists Sponsorship Program by China Association for Science and Technology [YESS20160052]
- Research Center Program of the IBS in Korea [IBS-R006-D1]
- Thousand Talents Program for Distinguished Young Scholars
Smart magnetic resonance (MR) contrast agents, by which MR contrast can be selectively enhanced under acidic tumor microenvironment, are anticipated to significantly improve the diagnostic accuracy. Here, we report pH-sensitive iron oxide nanoparticle assemblies (IONAs) that are cross-linked by small-molecular aldehyde derivative ligands. The dynamic formation and cleavage of hydrazone linkages in neutral and acidic environments, respectively, allow the reversible response of the nanoassemblies to pH variations. At neutral pH, IONAs are structurally robust due to the cross-linking by the strong hydrazone bonds. In acidic tumor microenvironment, the hydrazone bonds are cleaved so that the IONAs are quickly disassembled into a large number of hydrophilic extremely small-sized iron oxide nanoparticles (ESIONs). As a result, significantly enhanced T1MR contrast is achieved, as confirmed by the measurement of r1 values at different pH conditions. Such acidity-targeting MR signal amplification by the pH-sensitive IONAs was further validated in vivo, demonstrating a novel T1 magnetic resonance imaging (MRI) strategy for highly sensitive imaging of acidic tumors.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据