Suppr超能文献

用于克服多药耐药性的三苯基鏻修饰的线粒体靶向紫杉醇纳米晶体

Triphenylphosphonium-modified mitochondria-targeted paclitaxel nanocrystals for overcoming multidrug resistance.

作者信息

Han Xue, Su Ruijuan, Huang Xiuqing, Wang Yingli, Kuang Xiao, Zhou Shuang, Liu Hongzhuo

机构信息

Shenyang Pharmaceutical University, Shenyang 110016, China.

出版信息

Asian J Pharm Sci. 2019 Sep;14(5):569-580. doi: 10.1016/j.ajps.2018.06.006. Epub 2018 Sep 18.

Abstract

Mitochondria are currently known as novel targets for treating cancer, especially for tumors displaying multidrug resistance (MDR). This present study aimed to develop a mitochondria-targeted delivery system by using triphenylphosphonium cation (TPP)-conjugated Brij 98 as the functional stabilizer to modify paclitaxel (PTX) nanocrystals (NCs) against drug-resistant cancer cells. Evaluations were performed on 2D monolayer and 3D multicellular spheroids (MCs) of MCF-7 cells and MCF-7/ADR cells. In comparison with free PTX and the non-targeted PTX NCs, the targeted PTX NCs showed the strongest cytotoxicity against both 2D MCF-7 and MCF-7/ADR cells, which was correlated with decreased mitochondrial membrane potential. The targeted PTX NCs exhibited deeper penetration on MCF-7 MCs and more significant growth inhibition on both MCF-7 and MCF-7/ADR MCs. The proposed strategy indicated that the TPP-modified NCs represent a potentially viable approach for targeted chemotherapeutic molecules to mitochondria. This strategy might provide promising therapeutic outcomes to overcome MDR.

摘要

线粒体目前被认为是治疗癌症的新靶点,尤其是对于表现出多药耐药性(MDR)的肿瘤。本研究旨在开发一种线粒体靶向递送系统,通过使用三苯基膦阳离子(TPP)共轭的Brij 98作为功能稳定剂来修饰紫杉醇(PTX)纳米晶体(NCs),以对抗耐药癌细胞。对MCF-7细胞和MCF-7/ADR细胞的二维单层和三维多细胞球体(MCs)进行了评估。与游离PTX和非靶向PTX NCs相比,靶向PTX NCs对二维MCF-7和MCF-7/ADR细胞均表现出最强的细胞毒性,这与线粒体膜电位降低相关。靶向PTX NCs在MCF-7 MCs上表现出更深的渗透,对MCF-7和MCF-7/ADR MCs均表现出更显著的生长抑制。所提出的策略表明,TPP修饰的NCs代表了一种将化疗分子靶向线粒体的潜在可行方法。该策略可能为克服MDR提供有前景的治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55dd/7032231/4fbbad244173/fx1.jpg

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