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旧体系的新视角:PCL/PEG 共混物中蛋白质-PEG 共定位与蛋白质释放的关系。

A new insight for an old system: protein-PEG colocalization in relation to protein release from PCL/PEG blends.

机构信息

School of Materials Science and Engineering, Nanyang Technological University, Block N4.1-02-06, Nanyang Avenue, Singapore 639798.

出版信息

Mol Pharm. 2011 Dec 5;8(6):2173-82. doi: 10.1021/mp200513b. Epub 2011 Nov 11.

DOI:10.1021/mp200513b
PMID:22034836
Abstract

Quantification of protein-polymer colocalization in a phase-separated polymer blend gives important insights into the protein release mechanism. Here, we report on the first visualization of protein-poly(ethylene glycol) (protein-PEG) colocalization in poly(ε-caprolactone)/poly(ethylene glycol) (PCL/PEG) blend films using a combined application of confocal Raman mapping and confocal laser scanning microscopy (CLSM) imaging. The degree of protein-PEG colocalization was further quantified via a novel image processing technique. This technique also allowed us to characterize the 3-D protein distribution within the films. Our results showed that the proteins were homogeneously distributed within the film matrix, independent of PEG content. However, the degree of protein-PEG colocalization was inversely proportional to PEG content, ranging from 65 to 94%. This quantitative data on protein-PEG colocalization was used along with in vitro PEG leaching profile to construct a predictive model for overall protein release. Our prediction matched well with the experimental protein release profile, which is characterized by an initial burst release and a subsequent slower diffusional release. More importantly, the success of this predictive model has highlighted the influence of protein-PEG colocalization on the protein release mechanism.

摘要

在相分离聚合物共混物中定量蛋白质-聚合物共定位,可深入了解蛋白质释放机制。在这里,我们报告了使用共焦拉曼映射和共焦激光扫描显微镜(CLSM)成像的组合首次可视化聚(ε-己内酯)/聚(乙二醇)(PCL/PEG)共混膜中蛋白质-聚乙二醇(protein-PEG)共定位的情况。通过一种新的图像处理技术进一步量化了蛋白质-PEG 共定位的程度。该技术还使我们能够表征薄膜内的三维蛋白质分布。我们的结果表明,蛋白质在薄膜基质中均匀分布,与 PEG 含量无关。然而,蛋白质-PEG 共定位的程度与 PEG 含量成反比,范围为 65%至 94%。该蛋白质-PEG 共定位的定量数据与体外 PEG 浸出曲线一起用于构建整体蛋白质释放的预测模型。我们的预测与实验蛋白质释放曲线吻合良好,其特征是初始突释和随后较慢的扩散释放。更重要的是,该预测模型的成功突出了蛋白质-PEG 共定位对蛋白质释放机制的影响。

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