Suppr超能文献

贝沙罗汀的有机锡(IV)羧酸盐衍生物:合成、表征、抗氧化/促氧化活性及高细胞毒性

Organotin(IV) carboxylates-derivatives of bexarotene: synthesis, characterization, anti/prooxidant activity, and high cytotoxicity.

作者信息

Burmistrova D A, Pomortseva N P, Berberova N T, Almyasheva N R, Kiskin M A, Poddel'sky A I, Vashurin A S, Smolyaninov I V

机构信息

Chemistry Department, Astrakhan State Technical University, Tatisheva Str. 16/1, 414056, Astrakhan, Russia.

Gause Institute of New Antibiotics, 11/1 Bolshaya Pirogovskaya Str., 119021, Moscow, Russia.

出版信息

J Biol Inorg Chem. 2025 Aug;30(4-5):411-424. doi: 10.1007/s00775-025-02117-w. Epub 2025 Jun 4.

Abstract

New organotin(IV) mono- and bis-carboxylate complexes derivatives of Bexarotene (bex), viz. RSn(bex) (where R = Ph (1); Cy (2); nBu (3)), and RSn(bex) (where R = Et (4), tBu (5), Ph (6)) were synthesized. Compounds were fully characterized using spectroscopic techniques. The molecular structure for the PhSn(bex) (1) in crystalline form was established by single-crystal X-ray diffraction. Electrochemical properties of tin complexes and bexarotene were investigated by cyclic voltammetry. The target compounds are characterized by the high oxidation potentials in the mixture of aprotic solvents. The anti/prooxidant activity of the complexes and bexarotene in the lipid peroxidation process and in the reaction of the DNA oxidative damage was studied in vitro. Excellent cell growth inhibition against A549, HCT 116 and MCF-7 cancer cells was observed for triorganotin (IV) carboxylates with IC values mostly under the submicromolar concentration range and there are more effective than bexarotene or cisplatin.

摘要

合成了贝沙罗汀(bex)的新型有机锡(IV)单羧酸酯和双羧酸酯配合物衍生物,即RSn(bex)(其中R = Ph(1);Cy(2);nBu(3))和RSn(bex)(其中R = Et(4),tBu(5),Ph(6))。使用光谱技术对化合物进行了全面表征。通过单晶X射线衍射确定了晶体形式的PhSn(bex)(1)的分子结构。通过循环伏安法研究了锡配合物和贝沙罗汀的电化学性质。目标化合物的特征是在非质子溶剂混合物中具有高氧化电位。在体外研究了配合物和贝沙罗汀在脂质过氧化过程和DNA氧化损伤反应中的抗氧化/促氧化活性。观察到三有机锡(IV)羧酸盐对A549、HCT 116和MCF-7癌细胞具有优异的细胞生长抑制作用,IC值大多在亚微摩尔浓度范围内,且比贝沙罗汀或顺铂更有效。

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