Literature DB >> 27837682

A superparamagnetic polymersome with extremely high T2 relaxivity for MRI and cancer-targeted drug delivery.

Qiuming Liu1, Liwen Song2, Shuai Chen3, Jingyi Gao3, Peiyu Zhao2, Jianzhong Du4.   

Abstract

Improving the relaxivity of magnetic resonance imaging (MRI) contrast agents is an important challenge for cancer theranostics. Herein we report the design, synthesis, characterization, theoretical analysis and in vivo tests of a superparamagnetic polymersome as a new MRI contrast agent with extremely high T2 relaxivity (611.6 mM-1s-1). First, a noncytotoxic cancer-targeting polymersome is synthesized based on a biodegradable diblock copolymer, folic acid-poly(l-glutamic acid)-block-poly(ε-caprolactone) [FA-PGA-b-PCL]. Then, ultra-small superparamagnetic iron oxide nanoparticles (SPIONs) are in situ generated in the hydrophilic PGA coronas of polymersomes to afford magnetic polymersomes. The in vivo MRI assay revealed prominent negative contrast enhancement of magnetic polymersomes at a very low Fe dose of 0.011 mmol/kg. Moreover, this cancer-targeting magnetic polymersome can effectively encapsulate and deliver anticancer drug to inhibit the tumor growth, demonstrating promising theranostic applications in biomedicine. Copyright Â
© 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antitumor drug delivery; MRI; Polymer vesicle; Polymersome; Self-assembly; Superparamagnetic iron oxide nanoparticles

Mesh:

Substances:

Year:  2016        PMID: 27837682     DOI: 10.1016/j.biomaterials.2016.10.027

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  17 in total

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Review 5.  Development of Polymer-Assisted Nanoparticles and Nanogels for Cancer Therapy: An Update.

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Journal:  Nanotheranostics       Date:  2018-05-15

Review 8.  Luminophore and Magnetic Multicore Nanoassemblies for Dual-Mode MRI and Fluorescence Imaging.

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Authors:  Ran Zhao; Sujuan Du; Ying Liu; Cong Lv; Yongli Song; Xinchun Chen; Bing Zhang; Dan Li; Shan Gao; Wei Cui; Maksim V Plikus; Xiaohua Hou; Kaichun Wu; Zhanju Liu; Zhihua Liu; Yingzi Cong; Yuan Li; Zhengquan Yu
Journal:  Theranostics       Date:  2020-02-18       Impact factor: 11.556

10.  Size-Dependent Properties of Magnetosensitive Polymersomes: Computer Modelling.

Authors:  Aleksandr Ryzhkov; Yuriy Raikher
Journal:  Sensors (Basel)       Date:  2019-11-29       Impact factor: 3.576

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