Effect of Injection Routes on the Biodistribution, Clearance, and Tumor Uptake of Carbon Dots

Xinglu Huang(National Institutes of Health), Fan Zhang(National Institutes of Health), Lei Zhu(National Institutes of Health), Ki Young Choi(National Institutes of Health), Ning Guo(National Institutes of Health), Jinxia Guo(National Institutes of Health), Kenneth N. Tackett(Clemson University), Parambath Anilkumar(Clemson University), Gang Liu(Xiamen University), Qimeng Quan(National Institutes of Health), Hak Soo Choi(Beth Israel Deaconess Medical Center), Gang Niu(National Institutes of Health), Ya-Ping Sun(Clemson University), Seulki Lee(National Institutes of Health), Xiaoyuan Chen(National Institutes of Health)
ACS Nano
June 3, 2013
Cited by 409Open Access
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Abstract

The emergence of photoluminescent carbon-based nanomaterials has shown exciting potential in the development of benign nanoprobes. However, the in vivo kinetic behaviors of these particles that are necessary for clinical translation are poorly understood to date. In this study, fluorescent carbon dots (C-dots) were synthesized and the effect of three injection routes on their fate in vivo was explored by using both near-infrared fluorescence and positron emission tomography imaging techniques. We found that C-dots are efficiently and rapidly excreted from the body after all three injection routes. The clearance rate of C-dots is ranked as intravenous > intramuscular > subcutaneous. The particles had relatively low retention in the reticuloendothelial system and showed high tumor-to-background contrast. Furthermore, different injection routes also resulted in different blood clearance patterns and tumor uptakes of C-dots. These results satisfy the need for clinical translation and should promote efforts to further investigate the possibility of using carbon-based nanoprobes in a clinical setting. More broadly, we provide a testing blueprint for in vivo behavior of nanoplatforms under various injection routes, an important step forward toward safety and efficacy analysis of nanoparticles.


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