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用于生物医学应用的金纳米壳聚乙二醇化的关键参数:一项体外巨噬细胞研究。

Critical parameters in the pegylation of gold nanoshells for biomedical applications: an in vitro macrophage study.

作者信息

Kah James Chen Yong, Wong Ker Yi, Neoh Koon Gee, Song Jie Han, Fu Jason Wei Ping, Mhaisalkar Subodh, Olivo Malini, Sheppard Colin James Richard

机构信息

Division of Bioengineering, National University of Singapore, Singapore, Singapore.

出版信息

J Drug Target. 2009 Apr;17(3):181-93. doi: 10.1080/10611860802582442.

DOI:10.1080/10611860802582442
PMID:19016072
Abstract

Pegylation of gold nanoshells provides an effective means to reduce their reticuloendothelial system (RES) clearance in body. In this study, we perform a parametric investigation on the factors that would affect the macrophage uptake of gold nanoshells with the aim to optimize their pegylation and minimize their macrophage uptake. We synthesized and pegylated the gold nanoshells using methoxy-poly(ethylene glycol)-thiol and employed an in vitro macrophage assay to examine the effect of surface density of poly(ethylene glycol) (PEG), chain length of the PEG, and size of the gold nanoshells on their macrophage uptake. We have shown that a saturated surface density would minimize macrophage uptake, which could be obtained by experimental titration-based Ellman's reagent. Our results suggest that the chain length of PEG and size of gold nanoshells influence the surface density of PEG. We have also shown that PEG with molecular weight of around 2000Da and a size range larger than 186nm would be appropriate for facilitating a high surface density. Our in vitro macrophage system thus provides a good model to accurately predict the RES response to different pegylation parameters.

摘要

金纳米壳的聚乙二醇化提供了一种有效方法来减少其在体内的网状内皮系统(RES)清除。在本研究中,我们对影响巨噬细胞摄取金纳米壳的因素进行了参数研究,目的是优化其聚乙二醇化并最小化巨噬细胞摄取。我们使用甲氧基聚(乙二醇)-硫醇合成并聚乙二醇化了金纳米壳,并采用体外巨噬细胞试验来研究聚(乙二醇)(PEG)的表面密度、PEG的链长以及金纳米壳的尺寸对其巨噬细胞摄取的影响。我们已经表明,饱和表面密度可使巨噬细胞摄取最小化,这可通过基于实验滴定的埃尔曼试剂获得。我们的结果表明,PEG的链长和金纳米壳的尺寸会影响PEG的表面密度。我们还表明,分子量约为2000Da且尺寸范围大于186nm的PEG适合促进高表面密度。因此,我们的体外巨噬细胞系统提供了一个很好的模型来准确预测RES对不同聚乙二醇化参数的反应。

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