The Applications of Glutathione-Capped Gold Nanoclusters in Cancer Nanotheranostics
Chunlei Zhang 1, 2*, Amin Zhang 1, Tianliang Li 1, Daxiang Cui 1, 2*
1 Institute of Nano Biomedicine and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China.
2 National Center for Translational Medicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China.
Presented: 2018 Chinese Conference on Oncology. Shenyang, China, Aug. 17-19, 2018; Published: Oct. 18, 2018
Citation: Chunlei Zhang, Amin Zhang, Tianliang Li, and Daxiang Cui, The Applications of Glutathione-Capped Gold Nanoclusters in Cancer Nanotheranostics. Nano Biomed. Eng., 2018, Special Issue: 323.
Among the thiolate protected gold nanoclusters (GNCs), chiral glutathione (i.e. GSH; γ-Glu-Cys-Gly), a naturally occurring and readily available tripeptide, has been commonly used as a monolayer thiolate ligand for GNCs synthesis. Moreover, GSH-capped GNCs are finding increasing acceptance in various biomedical fields, such as molecular imaging, cancer therapy, and gene delivery. In recent years, X-ray/CT imaging and in vivo fluorescence imaging demonstrated that GSH-capped GNCs were renal-clearable. We have developed several methods to self-assembly of GSH-capped GNCs into larger colloidal supernanostructure for the applications of cancer nanotheranostics, including: 1) the applications of GNCs assemblies induced by the gadolinium ions for in vivo X-ray CT/MR imaging of lung tumor-bearing mice, 2) GNCs assemblies induced by PEG and chemotherapeutics for lung cancer targeted near-infrared ﬂuorescence imaging and chemo-photodynamic therapy, and 3) the complexes of GNCs-engineered assemblies and folic acid coming from water-evaporation-induced self-assembly to mimic pathogenic cellular invasion. In all, the promising prospect of GNCs renders them as multifunctional cancer nanotheranostics with speciﬁcity, efﬁcacy, and safety.
Keywords: Glutathione, Gold nanoclusters, Nanotheranostics, Self-assembly
Copyright© Chunlei Zhang, Amin Zhang, Tianliang Li, and Daxiang Cui. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.