Structure and Mutagenicity of a Direct-Acting Mutagen Derived from the Reaction of N-Nitroso-N-methylbutylamine with Hydroxyl Radical

作者
Masataka Mochizuki,Keiko Inami,Motofumi Miura,Nozomi Tsutsumi,Eriko Okochi,Yoko Susaki,Satoko Ishikawa,Shigeyasu Motohashi,Junko Shiino,Kei Takeda
出处
期刊:Heterocycles [Elsevier BV]
卷期号:84 (2): 1081-1081 被引量:4
标识
DOI:10.3987/com-11-s(p)90
摘要

The mutagenicity of N-nitrosamines is usually detected in the presence of an S9 mix, which includes cytochrome P450.The mutagenicity of N-nitrosodialkylamines is induced by Fe 2+ -Cu 2+ -H 2 O 2 , which can be used as a chemical model for cytochrome P450.However, a direct-acting mutagen derived from N-nitroso-N-methylbutylamine (NMB) by the same oxidation system has not been reported.In this study, we determined the structure of a direct-acting mutagen obtained from the reaction of NMB with Fe 2+ -Cu 2+ -H 2 O 2 by comparing its instrumental data ( 1 H, 13 C NMR and IR) with that from the synthesized compound.We confirmed that the direct-acting mutagen derived from NMB with Fe 2+ -Cu 2+ -H 2 O 2 was 5-methyl-5-nitro-1-pyrazoline 1-oxide.Furthermore, we investigated the mechanism of the mutagenicity by 5-methyl-5-nitro-1-pyrazoline 1-oxide using Salmonella typhimurium strains.The mutagenicity of 5-methyl-5-nitro-1-pyrazoline 1-oxide in S. typhimurium YG7108, which is deficient O 6 -alkylguanine alkyltransferase, was higher than that in the parent strain S. typhimurium TA1535, indicating that the mutations are caused by DNA alkylation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
华仔应助精明梦柏采纳,获得10
1秒前
英姑应助啊小布采纳,获得10
2秒前
shuo发布了新的文献求助10
2秒前
2秒前
默默完成签到 ,获得积分10
3秒前
晴朗发布了新的文献求助10
3秒前
5秒前
6秒前
6秒前
www发布了新的文献求助10
8秒前
鳗鱼思真发布了新的文献求助10
10秒前
科研通AI6.4应助研友_惊鸿采纳,获得10
10秒前
12秒前
Joker完成签到,获得积分0
12秒前
13秒前
鳗鱼思真发布了新的文献求助10
13秒前
13秒前
jikngsk完成签到,获得积分10
14秒前
酷酷静白完成签到 ,获得积分10
14秒前
14秒前
坦率的砖头完成签到,获得积分10
14秒前
15秒前
57关注了科研通微信公众号
15秒前
科研通AI6.4应助lu采纳,获得10
15秒前
16秒前
科研通AI6.4应助舒心的雍采纳,获得10
16秒前
拼搏的念文完成签到 ,获得积分10
16秒前
17秒前
向敏发布了新的文献求助10
18秒前
大个应助超速驱动压抑采纳,获得10
18秒前
ahah发布了新的文献求助10
19秒前
科研通AI6.2应助phy采纳,获得10
19秒前
啊小布发布了新的文献求助10
20秒前
Berry完成签到,获得积分10
20秒前
何1发布了新的文献求助10
20秒前
20秒前
ming发布了新的文献求助10
22秒前
CodeCraft应助老实的水蜜桃采纳,获得10
22秒前
干净的琦应助gjww采纳,获得100
23秒前
所所应助半截神经病采纳,获得10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632493
求助须知:如何正确求助?哪些是违规求助? 9206895
关于积分的说明 19746124
捐赠科研通 7201852
什么是DOI,文献DOI怎么找? 3274853
关于科研通互助平台的介绍 2436742
邀请新用户注册赠送积分活动 2271539