Suppr超能文献

喉组织中的环外丙二醛和芳香族DNA加合物

Exocyclic malondialdehyde and aromatic DNA adducts in larynx tissues.

作者信息

Munnia Armelle, Amasio Maria Enrica, Peluso Marco

机构信息

Cancer Risk Factor Branch, Molecular Biology Laboratory, CSPO-Scientific Institute of Tuscany, 50131 Florence, Italy.

出版信息

Free Radic Biol Med. 2004 Sep 15;37(6):850-8. doi: 10.1016/j.freeradbiomed.2004.05.024.

Abstract

Cigarette smoking and alcohol consumption, known to cause free radical generation and lipid peroxidation, are established risk factors for larynx cancer. Malondialdehyde (MDA) is a naturally occurring product of lipid peroxidation, capable of interacting with DNA to form exocyclic MDA-DNA adducts. In the present study, we investigated if the production of MDA-DNA adducts was increased in larynx cancer patients with respect to controls using (32)P-DNA postlabeling techniques. Moreover, we examined the potential effects of cigarette smoking and alcohol consumption on endogenous DNA adducts. We then analyzed the same set of larynx tissues for the presence of (32)P-postlabeled aromatic DNA adducts to determine more about the levels and types of adducts formed in the larynx. We observed that cancer patients tended to have increased levels of MDA and aromatic DNA adducts with respect to controls. In addition, smoking and alcohol were found to influence the formation of endogenous adducts in the larynx tissues. Finally, the amounts of endogenous adducts were found to be comparable to those observed for aromatic DNA adducts in the same set of larynx tissues. These findings imply that endogenous lesions, if not repaired, may contribute to larynx cancer development.

摘要

吸烟和饮酒会导致自由基生成和脂质过氧化,是喉癌已确定的风险因素。丙二醛(MDA)是脂质过氧化的天然产物,能够与DNA相互作用形成环外MDA-DNA加合物。在本研究中,我们使用³²P-DNA后标记技术,调查了喉癌患者相对于对照组,MDA-DNA加合物的生成是否增加。此外,我们研究了吸烟和饮酒对内源性DNA加合物的潜在影响。然后,我们分析了同一组喉组织中³²P后标记芳香族DNA加合物的存在情况,以进一步了解喉中形成的加合物的水平和类型。我们观察到,相对于对照组,癌症患者的MDA和芳香族DNA加合物水平往往有所增加。此外,发现吸烟和饮酒会影响喉组织中内源性加合物的形成。最后,发现同一组喉组织中内源性加合物的量与芳香族DNA加合物的量相当。这些发现表明,如果内源性损伤得不到修复,可能会导致喉癌的发生。

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