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Nano Biomedicine and Engineering 2022, 14(1): 71-80 https://doi.org/10.5101/nbe.v14i1.p71-80
Research Article | Open Access | Issue | Published: 10 May 2022

Preparation of Liposomes Coated Superparamagnetic Iron Oxide Nanoparticles for Targeting and Imaging Brain Glioma

Show Author's Information Weijia Chen1,2,  Yingtian Xu1,2,  Dicheng Yang1,  Ping Wang1,  Yan Xu1( ),  Jun Zhu1,  Daxiang Cui3
National Engineering Research Center for Nanotechnology, Shanghai, China
School of Material Sciences and Engineering, Shanghai Jiao Tong University, Shanghai, China
Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
Keywords:
Magnetic resonance imaging, Iron oxide nanoparticles, Tumor penetrating peptide, Brain glioma imaging
Cite this article:
Chen W, Xu Y, Yang D, et al. Preparation of Liposomes Coated Superparamagnetic Iron Oxide Nanoparticles for Targeting and Imaging Brain Glioma. Nano Biomedicine and Engineering, 2022, 14(1): 71-80. https://doi.org/10.5101/nbe.v14i1.p71-80
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Abstract Full text About this article

Effective and specific diagnostic imaging of brain glioma remains a challenge. Magnetic nanoparticles are actively being developed as contrast agents for diagnosis of tumor. In this work, we developed the targeted magnetic nanoparticles as T1-positive magnetic resonance imaging (MRI) contrast agents. Zn-doped Fe3O4 NPs were synthesized by solvothermal method, coated with liposome and conjugated to a tumor-penetrating peptide (RGERPPR). The effect of zinc doping on the magnetic properties of Fe3O4 nanoparticles was studied. Zn0.4Fe2.6O4-PEG nanoparticles exhibited T1 MR contrast enhancement. Cytotoxicity assay indicated that nanoparticles have good biocompatibility and low toxicity. And the in vitro cellular uptake assays on U87 cells confirmed that the conjugation of RGERPPR increased the uptake of the Zn0.4Fe2.6O4 NPs. In vivo MR imaging showed the contrast enhance of U87 brain glioma in rat model after injection.


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About this article

Preparation of Liposomes Coated Superparamagnetic Iron Oxide Nanoparticles for Targeting and Imaging Brain Glioma

Show Author's information Weijia Chen1,2, Yingtian Xu1,2, Dicheng Yang1, Ping Wang1, Yan Xu1( ), Jun Zhu1, Daxiang Cui3
National Engineering Research Center for Nanotechnology, Shanghai, China
School of Material Sciences and Engineering, Shanghai Jiao Tong University, Shanghai, China
Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

Abstract

Effective and specific diagnostic imaging of brain glioma remains a challenge. Magnetic nanoparticles are actively being developed as contrast agents for diagnosis of tumor. In this work, we developed the targeted magnetic nanoparticles as T1-positive magnetic resonance imaging (MRI) contrast agents. Zn-doped Fe3O4 NPs were synthesized by solvothermal method, coated with liposome and conjugated to a tumor-penetrating peptide (RGERPPR). The effect of zinc doping on the magnetic properties of Fe3O4 nanoparticles was studied. Zn0.4Fe2.6O4-PEG nanoparticles exhibited T1 MR contrast enhancement. Cytotoxicity assay indicated that nanoparticles have good biocompatibility and low toxicity. And the in vitro cellular uptake assays on U87 cells confirmed that the conjugation of RGERPPR increased the uptake of the Zn0.4Fe2.6O4 NPs. In vivo MR imaging showed the contrast enhance of U87 brain glioma in rat model after injection.

Keywords: Magnetic resonance imaging, Iron oxide nanoparticles, Tumor penetrating peptide, Brain glioma imaging

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Publication history

Received: 09 October 2021
Accepted: 08 May 2022
Published: 10 May 2022
Issue date: March 2022

Copyright

© Weijia Chen, Yingtian Xu, Dicheng Yang, Ping Wang, Yan Xu, Jun Zhu, and Daxiang Cui.

Acknowledgements

Acknowledgements

This project was financially supported by the National Key R & D Program of China (2016YFA0201200), National Science Foundation for Young Scientists of China (21807069), Shanghai Outstanding Technology Leader (19XD1431900) and Shanghai Rising-Star Program (19QB1403900) and Shanghai Biopharmaceutical Support Program (19441910700).

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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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