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Folate-conjugated cross-linked magnetic nanoparticles as potential magnetic resonance probes for in vivocancer imaging
Superparamagnetic iron oxide nanoparticles are widely used as nanoprobes for magnetic resonance imaging (MRI). In this study, a novel type of cross-linked magnetic nanoparticle was developed in an effort to improve the structural stability of amphiphilic polymer-coated iron oxide nanoparticles. Iron...
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Published in: | Journal of materials chemistry. B, Materials for biology and medicine Materials for biology and medicine, 2013-05, Vol.1 (24), p.3035-3043 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Superparamagnetic iron oxide nanoparticles are widely used as nanoprobes for magnetic resonance imaging (MRI). In this study, a novel type of cross-linked magnetic nanoparticle was developed in an effort to improve the structural stability of amphiphilic polymer-coated iron oxide nanoparticles. Iron oxide nanocrystals were coated with a cross-linkable amphiphilic graft copolymer, poly(succinimide) grafted with folate-conjugated polyethylene glycol (PEG) and alkyl chains. The tumor-specific targeting ligand, folate, was included to target and detect cancer cells. The hydrophobic portions of the amphiphilic copolymer on the surfaces of the nanoparticles were cross-linked viaan aminolysis reaction between the succinimide units and a bifunctional primary amine. The folate-conjugated cross-linked magnetic nanoparticles (F-CLMNPs) were 40 nm in diameter and displayed a low cytotoxicity, even at relatively high concentrations. The F-CLMNPs exhibited highly efficient intracellular uptake into KB cells, which overexpress the folate receptor, as determined by fluorescence microscopy, flow cytometry, and Prussian blue staining. In vivoMR images of a mouse bearing a KB cell tumor displayed a 75% drop in the T sub(2) signal in the tumor tissues within 3 hours. These results indicated that the F-CLMNPs accumulated at the tumor site and were highly effective for tumor detection using in vivoMRI techniques. |
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ISSN: | 2050-750X 2050-7518 |
DOI: | 10.1039/c3tb20295j |