Suppr超能文献

通过多酚纳米颗粒靶向破坏肿瘤血管以改善脑癌治疗。

Targeted disruption of tumor vasculature via polyphenol nanoparticles to improve brain cancer treatment.

作者信息

Liu Fuyao, Peng Bin, Li Miao, Ma Junning, Deng Gang, Zhang Shenqi, Sheu Wendy C, Zou Pan, Wu Haoan, Liu Jun, Chen Ann T, Mohammed Farrah S, Zhou Jiangbing

机构信息

Department of Neurosurgery, Yale University, New Haven, CT 06510, USA.

Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA.

出版信息

Cell Rep Phys Sci. 2022 Jan 19;3(1). doi: 10.1016/j.xcrp.2021.100691. Epub 2021 Dec 13.

Abstract

Despite being effective for many other solid tumors, traditional anti-angiogenic therapy has been shown to be insufficient for the treatment of malignant glioma. Here, we report the development of polyphenol nanoparticles (NPs), which not only inhibit the formation of new vessels but also enable targeted disruption of the existing tumor vasculature. The NPs are synthesized through a combinatory iron-coordination and polymer-stabilization approach, which allows for high drug loading and intrinsic tumor vessel targeting. We study a lead NP consisting of quercetin and find that the NP after intravenous administration preferentially binds to VEGFR2, which is overexpressed in tumor vasculature. We demonstrate that the binding is mediated by quercetin, and the interaction of NPs with VEGFR2 leads to disruption of the existing tumor vasculature and inhibition of new vessel development. As a result, systemic treatment with the NPs effectively inhibits tumor growth and increases drug delivery to tumors.

摘要

尽管传统的抗血管生成疗法对许多其他实体瘤有效,但已证明其对恶性胶质瘤的治疗并不充分。在此,我们报告了多酚纳米颗粒(NPs)的研发情况,该纳米颗粒不仅能抑制新血管的形成,还能靶向破坏现有的肿瘤血管系统。这些纳米颗粒是通过铁配位和聚合物稳定相结合的方法合成的,这种方法能够实现高药物负载量以及内在的肿瘤血管靶向性。我们研究了一种由槲皮素组成的先导纳米颗粒,发现静脉注射后该纳米颗粒优先与肿瘤血管中过度表达的血管内皮生长因子受体2(VEGFR2)结合。我们证明这种结合是由槲皮素介导的,并且纳米颗粒与VEGFR2的相互作用导致现有的肿瘤血管系统被破坏以及新血管生成受到抑制。结果,用这些纳米颗粒进行全身治疗可有效抑制肿瘤生长并增加药物向肿瘤的递送。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b88e/8863382/8cf06af8b66d/nihms-1773198-f0002.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