Suppr超能文献

用于阿霉素控释的pH触发电荷反转聚氨酯胶束

pH-Triggered Charge-Reversal Polyurethane Micelles for Controlled Release of Doxorubicin.

作者信息

He Wanying, Zheng Xu, Zhao Qi, Duan Lijie, Lv Qiang, Gao Guang Hui, Yu Shuangjiang

机构信息

School of Chemical Engineering, School of Chemistry and Life Science, Changchun University of Technology, Changchun, 130012, P. R. China.

Key Laboratory of Polymer Ecomaterials, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China.

出版信息

Macromol Biosci. 2016 Jun;16(6):925-35. doi: 10.1002/mabi.201500358. Epub 2016 Feb 3.

Abstract

A series of pH-triggered charge-reversal polyurethane copolymers (PS-PUs) containing methoxyl-poly(ethylene glycol) (mPEG), carboxylic acid groups, and piperazine groups is presented in this work. The obtained PS-PUs copolymers can form into stable micelles at pH 7.4, which response to a narrow pH change (5.5-7.5) and show a tunable pH-triggered charge-reversal property. Doxorubicin (DOX) is encapsulated into the PS-PU micelles as a model drug. The drug release of DOX-loaded PS-PU micelles shows an obviously stepped-up with reducing the pH. Meanwhile, it is found that the charge-reversal property can improve the cellular uptake behavior and intracellular drug release in both HeLa cells and MCF-7 cells. Additionally, the time-dependent cytotoxicity of the DOX-loaded PS-PU micelles is confirmed by MTT assay. Attributed to the tunable charge-reversal property through changing the molar ratio of piperazine/carboxyl, the PS-PU micelles will be a potential candidate as an intelligent drug delivery system in future studies.

摘要

本研究提出了一系列含有甲氧基聚乙二醇(mPEG)、羧酸基团和哌嗪基团的pH触发电荷反转聚氨酯共聚物(PS-PUs)。所制备的PS-PUs共聚物在pH 7.4时可形成稳定的胶束,对狭窄的pH变化(5.5 - 7.5)有响应,并表现出可调节的pH触发电荷反转特性。将阿霉素(DOX)作为模型药物包封于PS-PU胶束中。载DOX的PS-PU胶束的药物释放随着pH降低呈现明显的加速。同时,发现电荷反转特性可改善HeLa细胞和MCF-7细胞中的细胞摄取行为和细胞内药物释放。此外,通过MTT法证实了载DOX的PS-PU胶束的时间依赖性细胞毒性。由于通过改变哌嗪/羧基的摩尔比可调节电荷反转特性,PS-PU胶束在未来研究中将成为智能药物递送系统的潜在候选者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验