Suppr超能文献

酚类褪黑素相关化合物:它们作为抗氧化应激化学保护剂的作用。

Phenolic Melatonin-Related Compounds: Their Role as Chemical Protectors against Oxidative Stress.

作者信息

Galano Annia, Castañeda-Arriaga Romina, Pérez-González Adriana, Tan Dun-Xian, Reiter Russel J

机构信息

Departamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, San Rafael Atlixco 186, Col. Vicentina, Iztapalapa, 09340 Mexico City, Mexico.

Consejo Nacional de Ciencia y Tecnología (CONACYT)-Departamento de Química, División de Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolitana-Iztapalapa, Av. San Rafael Atlixco No. 186, Col. Vicentina, Iztapalapa, 09340 Mexico City, Mexico.

出版信息

Molecules. 2016 Oct 29;21(11):1442. doi: 10.3390/molecules21111442.

Abstract

There is currently no doubt about the serious threat that oxidative stress (OS) poses to human health. Therefore, a crucial strategy to maintain a good health status is to identify molecules capable of offering protection against OS through chemical routes. Based on the known efficiency of the phenolic and melatonin (MLT) families of compounds as antioxidants, it is logical to assume that phenolic MLT-related compounds should be (at least) equally efficient. Unfortunately, they have been less investigated than phenols, MLT and its non-phenolic metabolites in this context. The evidence reviewed here strongly suggests that MLT phenolic derivatives can act as both primary and secondary antioxidants, exerting their protection through diverse chemical routes. They all seem to be better free radical scavengers than MLT and Trolox, while some of them also surpass ascorbic acid and resveratrol. However, there are still many aspects that deserve further investigations for this kind of compounds.

摘要

目前,氧化应激(OS)对人类健康构成的严重威胁已毋庸置疑。因此,维持良好健康状态的关键策略是识别能够通过化学途径提供抗OS保护的分子。基于酚类和褪黑素(MLT)化合物家族作为抗氧化剂的已知功效,可以合理推测与MLT相关的酚类化合物应该(至少)同样有效。不幸的是,在这种情况下,它们的研究比酚类、MLT及其非酚类代谢物要少。此处综述的证据有力地表明,MLT酚类衍生物可作为主要和次要抗氧化剂,通过多种化学途径发挥其保护作用。它们似乎都是比MLT和Trolox更好的自由基清除剂,其中一些还超过了抗坏血酸和白藜芦醇。然而,这类化合物仍有许多方面值得进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30d8/6274579/5a45247255ee/molecules-21-01442-g001.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