Suppr超能文献

新型线粒体靶向麦角甾醇过氧化物衍生物作为潜在抗癌药物的设计与合成

Design and synthesis of novel mitochondria-targeted ergosterol peroxide derivatives as potential anti-cancer agents.

作者信息

Wang Lu, Tian Shuang, Deng Siqi, Wu Jiale, Wang Haijun, Guo Xiaoshan, Han Cuicui, Ren Wenkang, Han Yinglong, Zhou Jianwen, Lin Yu, Bu Ming

机构信息

College of Pharmacy, Qiqihar Medical University, Qiqihar 161006, Heilongjiang, PR China.

College of Pharmacy, Hainan University, Haikou 570228, Hainan, PR China.

出版信息

Bioorg Chem. 2024 Dec;153:107862. doi: 10.1016/j.bioorg.2024.107862. Epub 2024 Oct 1.

Abstract

Ergosterol peroxide (EP) is a natural steroid compound that has been reported to have significant antitumor activity. However, its poor water solubility and cellular uptake mean that it has weak efficacy against tumor cells. Herein, we designed and synthesized a series of EP derivatives with mitochondrial targeting properties. Of these, compound 15a showed an IC value of 0.32 μM against MCF-7 cells, which was 67-fold higher than that of the parental EP (IC = 21.46 μM), and was better than cisplatin (IC = 4.23 μM), had a selectivity index of 25.28 (ICMCF-10A/ICMCF-7). Additionally, compound 15a promoted an increase in intracellular reactive oxygen species levels and a decrease in mitochondrial membrane potential, and blocked the cell cycle in the G0/G1 phase. In a mouse model of breast cancer, 15a showed 89.85 % tumor inhibition at a dose of 20 mg/kg, which is similar to the therapeutic effect of the cisplatin. On the basis of these results, 15a could be considered for further preclinical evaluation for cancer therapy.

摘要

过氧化麦角甾醇(EP)是一种天然甾体化合物,据报道具有显著的抗肿瘤活性。然而,其较差的水溶性和细胞摄取能力意味着它对肿瘤细胞的疗效较弱。在此,我们设计并合成了一系列具有线粒体靶向特性的EP衍生物。其中,化合物15a对MCF-7细胞的IC值为0.32 μM,比亲本EP(IC = 21.46 μM)高67倍,且优于顺铂(IC = 4.23 μM),选择性指数为25.28(ICMCF-10A/ICMCF-7)。此外,化合物15a促进细胞内活性氧水平升高和线粒体膜电位降低,并使细胞周期阻滞在G0/G1期。在乳腺癌小鼠模型中,15a在剂量为20 mg/kg时显示出89.85%的肿瘤抑制率,这与顺铂的治疗效果相似。基于这些结果,15a可考虑进一步进行癌症治疗的临床前评估。

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