Suppr超能文献

通过纳米颗粒促进的芬顿反应进行癌症治疗

Cancer Treatment through Nanoparticle-Facilitated Fenton Reaction.

作者信息

Ranji-Burachaloo Hadi, Gurr Paul A, Dunstan Dave E, Qiao Greg G

出版信息

ACS Nano. 2018 Dec 26;12(12):11819-11837. doi: 10.1021/acsnano.8b07635. Epub 2018 Nov 28.

Abstract

Currently, cancer is the second largest cause of death worldwide and has reached critical levels. In spite of all the efforts, common treatments including chemotherapy, photodynamic therapy, and photothermal therapy suffer from various problems which limit their efficiency and performance. For this reason, different strategies are being explored which improve the efficiency of these traditional therapeutic methods or treat the tumor cells directly. One such strategy utilizing the Fenton reaction has been investigated by many groups for the possible treatment of cancer cells. This approach is based on the knowledge that high levels of hydrogen peroxide exist within cancer cells and can be used to catalyze the Fenton reaction, leading to cancer-killing reactive oxygen species. Analysis of the current literature has shown that, due to the diverse morphologies, different sizes, various chemical properties, and the tunable structure of nanoparticles, nanotechnology offers the most promising method to facilitate the Fenton reaction with cancer therapy. This review aims to highlight the use of the Fenton reaction using different nanoparticles to improve traditional cancer therapies and the emerging Fenton-based therapy, highlighting the obstacles, challenges, and promising developments in each of these areas.

摘要

目前,癌症是全球第二大死因,且已达到危急程度。尽管付出了诸多努力,但包括化疗、光动力疗法和光热疗法在内的常规治疗存在各种问题,这些问题限制了它们的效率和性能。因此,人们正在探索不同的策略,以提高这些传统治疗方法的效率或直接治疗肿瘤细胞。许多研究小组对利用芬顿反应的一种此类策略进行了研究,以探讨其治疗癌细胞的可能性。这种方法基于这样的认识:癌细胞内存在高水平的过氧化氢,可用于催化芬顿反应,从而产生具有抗癌作用的活性氧。对当前文献的分析表明,由于纳米颗粒具有多样的形态、不同的尺寸、各异的化学性质以及可调控的结构,纳米技术为促进芬顿反应与癌症治疗的结合提供了最具前景的方法。本综述旨在强调使用不同纳米颗粒的芬顿反应在改善传统癌症治疗以及新兴的基于芬顿反应的治疗方面的应用,突出这些领域各自面临的障碍、挑战和有前景的发展方向。

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