Open Access
Combination of active targeting, enzyme-triggered release and fluorescent dye into gold nanoclusters for endomicroscopy-guided photothermal/photodynamic therapy to pancreatic ductal adenocarcinoma
Hui Li
1
,
Md Monowar Aziz
2
,
Yunxiang Deng
1
,
Meiying Zeng
1
,
Yan Tang
1
,
Weihong Zhu
3, 4, 5
,
Yingsheng Cheng
1
2
3
Shanghai Key Laboratory of Functional Materials Chemistry
|
4
Key Laboratory for Advanced Materials and Institute of Fine Chemicals
Publication type: Journal Article
Publication date: 2017-09-01
scimago Q1
wos Q1
SJR: 2.998
CiteScore: 28.5
Impact factor: 12.9
ISSN: 01429612, 18785905
PubMed ID:
28582716
Ceramics and Composites
Biophysics
Bioengineering
Biomaterials
Mechanics of Materials
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most devastating malignancies in patients, and there is an urgent need for an effective treatment method. Herein, we report a novel gold nanocluster-based platform for confocal laser endomicroscopy-guided photothermal therapy (PTT)/photodynamic therapy (PDT) for PDAC, which consists of four components: the PTT-carrier gold nanocluster, an active targeting ligand U11 peptide, a Cathepsin E (CTSE)-sensitive PDT therapy prodrug, and a CTSE-sensitive imaging agent (cyanine dye Cy5.5). Due to the strong coupling among cross-linked gold nanoparticles (AuNPs), the surface plasmon resonance peak of nanoclusters shifts to the near-infrared (NIR) region, thus making the nanoclusters useful in the effective PTT therapy. In the system, the labeling of nanoclusters with U11 peptide can distinctly increase their affinity and accelerate their uptake by pancreatic cancer cells. Cell apoptosis staining demonstrates that, upon incorporation of the uPAR-targeted unit, the antitumor efficacy of CTSE-sensitive nanocluster AuS-U11 is significantly enhanced with respect to that of the non-targeted nanocluster AuS-PEG and the insensitive nanocluster AuC-PEG. In vivo and ex vivo optical imaging confirms the high accumulation of AuS-U11 in the in situ pancreatic tumor model. Therapeutic studies further show that the combination of active targeting for tumor tissue, enzyme-triggered drug release of 5-ALA and fluorescent dye Cy5.5 in nanoclusters AuS-U11 could achieve optimal therapeutic efficacy with endomicroscopy-guided photothermal/photodynamic therapy with minimal side effects. As a consequence, the delicate gold nanocluster concept provides a promising strategy to enhance the therapy efficiency in the most challenging PDAC treatment.
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Total citations:
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Li H. et al. Combination of active targeting, enzyme-triggered release and fluorescent dye into gold nanoclusters for endomicroscopy-guided photothermal/photodynamic therapy to pancreatic ductal adenocarcinoma // Biomaterials. 2017. Vol. 139. pp. 30-38.
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Li H., Aziz M. M., Deng Y., Zeng M., Tang Y., Zhu W., Cheng Y. Combination of active targeting, enzyme-triggered release and fluorescent dye into gold nanoclusters for endomicroscopy-guided photothermal/photodynamic therapy to pancreatic ductal adenocarcinoma // Biomaterials. 2017. Vol. 139. pp. 30-38.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.biomaterials.2017.05.030
UR - https://doi.org/10.1016/j.biomaterials.2017.05.030
TI - Combination of active targeting, enzyme-triggered release and fluorescent dye into gold nanoclusters for endomicroscopy-guided photothermal/photodynamic therapy to pancreatic ductal adenocarcinoma
T2 - Biomaterials
AU - Li, Hui
AU - Aziz, Md Monowar
AU - Deng, Yunxiang
AU - Zeng, Meiying
AU - Tang, Yan
AU - Zhu, Weihong
AU - Cheng, Yingsheng
PY - 2017
DA - 2017/09/01
PB - Elsevier
SP - 30-38
VL - 139
PMID - 28582716
SN - 0142-9612
SN - 1878-5905
ER -
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@article{2017_Li,
author = {Hui Li and Md Monowar Aziz and Yunxiang Deng and Meiying Zeng and Yan Tang and Weihong Zhu and Yingsheng Cheng},
title = {Combination of active targeting, enzyme-triggered release and fluorescent dye into gold nanoclusters for endomicroscopy-guided photothermal/photodynamic therapy to pancreatic ductal adenocarcinoma},
journal = {Biomaterials},
year = {2017},
volume = {139},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.biomaterials.2017.05.030},
pages = {30--38},
doi = {10.1016/j.biomaterials.2017.05.030}
}