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探索透明质酸分子量与活性靶向效率之间的关系以设计透明质酸修饰的纳米颗粒。

Exploring the relationship of hyaluronic acid molecular weight and active targeting efficiency for designing hyaluronic acid-modified nanoparticles.

作者信息

Zhong Lu, Liu Yanying, Xu Lu, Li Qingsong, Zhao Dongyang, Li Zhenbao, Zhang Huicong, Zhang Haotian, Kan Qiming, Sun Jin, He Zhonggui

机构信息

Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China.

School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China.

出版信息

Asian J Pharm Sci. 2019 Sep;14(5):521-530. doi: 10.1016/j.ajps.2018.11.002. Epub 2018 Dec 6.

Abstract

Although it is reported that the targeting ability of hyaluronic acid (HA)-based nanoparticles (NPs) is molecular weight (MW) dependent, the influence of HA MW on targeting efficiency of HA-functionalized NPs and the underlying mechanism remain elusive. In this study, we constituted three HA-functionalized Dox-loaded NPs (Dox/HCVs) different HA MWs (7, 63, and 102 kDa) and attempted to illustrate the effects of HA MW on the targeting efficiency. The three Dox/HCVs had similar physiochemical and pharmaceutical characteristics, but showed different affinity to CD44 receptor. Furthermore, Dox/HCV-63 exerted the best targeting effect and the highest cytotoxicity compared with Dox/HCV-7 and Dox/HCV-102. It was interesting to found that both the HA-CD44 binding affinity and induced CD44 clustering by HA-based NPs were HA MW-dependent, the two of which determine the apparent targeting efficacy of Dox/HCV NPs in the conflicting directions. Those results laid a good foundation for rationally designing HA-based NPs in cancer therapy.

摘要

尽管有报道称基于透明质酸(HA)的纳米颗粒(NPs)的靶向能力依赖于分子量(MW),但HA分子量对HA功能化NPs靶向效率的影响及其潜在机制仍不清楚。在本研究中,我们构建了三种具有不同HA分子量(7、63和102 kDa)的HA功能化载多柔比星NPs(Dox/HCVs),并试图阐明HA分子量对靶向效率的影响。这三种Dox/HCVs具有相似的物理化学和药学特性,但对CD44受体表现出不同的亲和力。此外,与Dox/HCV-7和Dox/HCV-102相比,Dox/HCV-63表现出最佳的靶向效果和最高的细胞毒性。有趣的是,发现基于HA的NPs的HA-CD44结合亲和力和诱导的CD44聚集均依赖于HA分子量,二者在相反方向上决定了Dox/HCV NPs的表观靶向疗效。这些结果为合理设计用于癌症治疗的基于HA的NPs奠定了良好基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff71/7032078/367b5bfa222e/fx1.jpg

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