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Prussian blue/serum albumin/indocyanine green as a multifunctional nanotheranostic agent for bimodal imaging guided laser mediated combinatorial phototherapy

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Abstract
Developing novel nanotheranostic agent using only clinically approved materials is highly desirable and challenging. In this study, we combined three clinically approved materials, Prussian blue (PB), serum albumin (BSA), and indocyanine green (ICG), by a simple and biocompatible method to prepare a multifunctional theranostic PB-BSA-ICG nanoparticle. The multifunctional nanoparticle system could provide dual mode magnetic resonance (MR) and near infrared (NIR) fluorescence imaging as well as combined photothermal and photodynamic (PTT-PDT) therapy in response to a single NIR laser. This nanoparticle showed an excellent stability in physiological solutions and could suppress the photo-instability of ICG. In the absence of light, the nanoparticles showed no cytotoxicity, but significant cell death was induced through combined PTT-PDT effect after irradiation with NIR laser light. A high tumor accumulation and minimal nonspecific uptake by other major organs of PB-BSA-ICG nanoparticle were observed in vivo, analyzed by T1-weighted MR and NIR fluorescence bimodal imaging in tumor xenograft mice after intravenous injection. The nanoparticles efficiently suppressed the tumor growth through combinatorial phototherapy with no tumor recurrence upon a single NIR laser irradiation. These results demonstrated that PB-BSA-ICG is potentially an interesting nanotheranostic agent for imaging guided cancer therapy by overcoming the limitations of each technology and enhancing the therapeutic efficiency as well as reducing side effects. © 2016 Elsevier B.V.
Author(s)
Sahu, AbhishekLee, Jong HyunLee, Hye GyeongJeong, Yong YeonTae, Gi Yoong
Issued Date
2016-08
Type
Article
DOI
10.1016/j.jconrel.2016.06.031
URI
https://scholar.gist.ac.kr/handle/local/14146
Publisher
ELSEVIER SCIENCE BV
Citation
JOURNAL OF CONTROLLED RELEASE, v.236, pp.90 - 99
ISSN
0168-3659
Appears in Collections:
Department of Materials Science and Engineering > 1. Journal Articles
Graduate School of AI Policy and Strategy > 1. Journal Articles
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