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Oxygen Vacancies Enhanced CeO<sub>2</sub>:Gd Nanoparticles for Sensing a Tumor Vascular Microenvironment by Magnetic Resonance Imaging

By Chulun Shao (6037181), Aijun Shen (4257868), Meng Zhang (154027), Xianfu Meng (1504264), Chaolin Song (6037184), Yanyan Liu (171941), Xiaolong Gao (384686), Peijun Wang (175683) and Wenbo Bu (1781482)


The specific characteristics of the tumor vascular microenvironment such as microvascular permeability and water diffusion have been demonstrated to play essential roles in the evaluation of infiltration of tumors. However, at present, there are few contrast agents (CAs) for magnetic resonance imaging to enhance the sensitivity for acquiring this vital information. Herein, we develop Gd-doped (CeO<sub>2</sub>:Gd) nanoparticles as CAs to detect the tumor vascular microenvironment with high sensitivity. The lattice oxygen vacancies on the surface of CeO<sub>2</sub>:Gd nanoparticles could bind considerable water molecules to improve the <i>r</i><sub>1</sub> value, achieving an excellent dynamic contrast-enhanced perfusion weighted imaging performance for the measurement of microvascular permeability. Diffusion limiting of water molecules by oxygen vacancies of CeO<sub>2</sub>:Gd nanoparticles further enhances the diffusion-weighted magnetic resonance imaging signal <i>in vitro</i> and <i>in vivo</i>. Excitingly, the strategy is not only essential for obtaining tumor vascular microenvironment information but also offers a way for further research in the design of magnetic resonance CAs

Topics: Biophysics, Biochemistry, Medicine, Cell Biology, Pharmacology, Biotechnology, Immunology, Cancer, Computational Biology, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, sensitivity, vacancy, r 1 value, microvascular permeability, Magnetic Resonance Imaging, tumor, water molecules, microenvironment, CeO 2, information, CA, lattice oxygen vacancies, Oxygen Vacancies Enhanced CeO 2, Gd nanoparticles, Tumor Vascular Microenvironment, resonance imaging signal
Year: 2018
DOI identifier: 10.1021/acsnano.8b07387.s001
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Provided by: FigShare
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