Issue 4, 2017

Redox-responsive dextran based theranostic nanoparticles for near-infrared/magnetic resonance imaging and magnetically targeted photodynamic therapy

Abstract

Photodynamic therapy (PDT) is a site-specific treatment of cancer using much lower optical power densities with minimal nonspecific damage to normal tissues. To improve the therapeutic efficiency of PDT, we fabricated a multifunctional theranostic nanoparticle system (DSSCe6@Fe3O4 NPs) by loading Fe3O4 nanoparticles in redox-responsive chlorin e6 (Ce6)-conjugated dextran nanoparticles for near-infrared (NIR)/magnetic resonance (MR) dual-modality imaging and magnetic targeting. The obtained DSSCe6@Fe3O4 NPs demonstrated a uniform nanospherical morphology consisting of Fe3O4 clusters. The fluorescence signal of Ce6 of this theranostic system could turn “ON” from a self-quenching state in a reductive intracellular environment. T2-Weighted MR imaging revealed a high transverse relaxivity (r2) measured to be 194.4 S−1 mM−1, confirming that it was also a distinctive contrast agent in T2-weighted MR imaging. Confocal images and flow cytometry results showed that the cellular uptake of DSSCe6@Fe3O4 NPs was enhanced effectively under an extra magnetic field, which resulted in promoted PDT therapeutic efficiency. In vivo MR imaging showed that DSSCe6@Fe3O4 NPs effectively accumulated in tumors under an extra magnetic field. These results illustrated that the DSSCe6@Fe3O4 NPs could be a promising theranostic system for both NIR/MR imaging-guided PDT precision therapy.

Graphical abstract: Redox-responsive dextran based theranostic nanoparticles for near-infrared/magnetic resonance imaging and magnetically targeted photodynamic therapy

Supplementary files

Article information

Article type
Paper
Submitted
23 Nov 2016
Accepted
15 Feb 2017
First published
03 Mar 2017

Biomater. Sci., 2017,5, 762-771

Redox-responsive dextran based theranostic nanoparticles for near-infrared/magnetic resonance imaging and magnetically targeted photodynamic therapy

Z. Ding, P. Liu, D. Hu, Z. Sheng, H. Yi, G. Gao, Y. Wu, P. Zhang, S. Ling and L. Cai, Biomater. Sci., 2017, 5, 762 DOI: 10.1039/C6BM00846A

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