Structure-mutagenicity relationships on quinoline and indole analogues in the Ames test.

IF 2.7 4区 医学 Q2 GENETICS & HEREDITY
Masaki Kurakami, Atsushi Hakura, Rika Sato, Akihiro Kawade, Takeshi Yamagata, Naoki Koyama, Dai Kakiuchi, Shoji Asakura
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引用次数: 0

Abstract

Background: Although the in silico predictive ability of the Ames test results has recently made remarkable progress, there are still some chemical classes for which the predictive ability is not yet sufficient due to a lack of Ames test data. These classes include simple heterocyclic compounds. This study aimed to investigate the mutagenicity and structure-mutagenicity relationships for some heterocycles in the Ames test. In the present study, we selected 12 quinoline analogues containing one or two nitrogen atoms in the naphthalene ring and 12 indole analogues containing one to three nitrogen atoms in the indole ring, without any side moiety.

Results: The Ames test was performed with five standard bacterial strains (TA100, TA1535, TA98, TA1537, and WP2uvrA) using the pre-incubation method with and without rat liver S9. Five quinoline and two indole analogues were mutagenic. Among the five quinoline analogues, four were mutagenic in the presence of S9 mix with TA100, whereas cinnoline was mutagenic in the absence of S9 mix with TA1537. Among the two indole analogues, indazole was mutagenic in the presence and absence of S9 mix with WP2uvrA and 4-azaindole was mutagenic in the absence of S9 mix with TA1537. The mechanisms underlying the induction of mutagenesis appear to differ between quinoline and indole analogues. In addition, we performed in silico analysis of the mutagenicity of all these analogues using DEREK Nexus 6.1.1 (Lhasa Limited) and GT_EXPERT from CASE Ultra 1.8.0.5 (MultiCASE Inc.) as knowledge-based models and GT1_BMUT from CASE Ultra 1.8.0.5 (MultiCASE Inc.) as a statistical-based model. The knowledge-based model showed low sensitivity for both the quinoline and indole analogues (DEREK Nexus and GT_EXPERT: 20% for quinolines and 0% for indoles). Conversely, the statistical model showed high sensitivity (100% for both quinolines and indoles) and low specificity (43% for quinolines and 10% for indoles).

Conclusion: Based on the Ames test results, we proposed structural alerts noting that quinoline analogues were mutagenic when they had nitrogens in any of the positions 2, 5, 7, or 8 in addition to 1, and indole analogues were mutagenic when they had nitrogens at positions 2 or 4 in addition to 1.

埃姆斯试验中喹啉和吲哚类似物的结构-致突变关系。
背景:尽管对艾姆斯试验结果的硅学预测能力近来取得了显著进步,但由于缺乏艾姆斯试验数据,仍有一些化学类别的预测能力尚不充分。这些类别包括简单的杂环化合物。本研究旨在探讨一些杂环化合物在 Ames 试验中的致突变性和结构-致突变关系。在本研究中,我们选择了萘环中含有一个或两个氮原子的 12 种喹啉类似物和吲哚环中含有一至三个氮原子且不含任何侧基的 12 种吲哚类似物:采用预孵育法,用五种标准细菌菌株(TA100、TA1535、TA98、TA1537 和 WP2uvrA)与或不与大鼠肝脏 S9 一起进行了 Ames 试验。五种喹啉类似物和两种吲哚类似物具有致突变性。在五种喹啉类似物中,四种在与 TA100 的 S9 混合物存在时具有致突变性,而噌啉在与 TA1537 的 S9 混合物不存在时具有致突变性。在两种吲哚类似物中,吲唑在与 WP2uvrA 的 S9 混合物存在和不存在时均有致突变性,而 4-氮杂吲哚在与 TA1537 的 S9 混合物不存在时有致突变性。喹啉和吲哚类似物诱导突变的机制似乎有所不同。此外,我们使用 DEREK Nexus 6.1.1 (Lhasa Limited) 和 CASE Ultra 1.8.0.5 (MultiCASE Inc.) 中的 GT_EXPERT 作为基于知识的模型,以及 CASE Ultra 1.8.0.5 (MultiCASE Inc.) 中的 GT1_BMUT 作为基于统计的模型,对所有这些类似物的诱变性进行了硅学分析。基于知识的模型对喹啉和吲哚类似物的灵敏度较低(DEREK Nexus 和 GT_EXPERT:对喹啉类为 20%,对吲哚类为 0%)。相反,统计模型显示出较高的灵敏度(喹啉类和吲哚类均为 100%)和较低的特异性(喹啉类为 43%,吲哚类为 10%):根据艾姆斯试验的结果,我们提出了结构警报,指出喹啉类似物除 1 位外,如果在 2、5、7 或 8 位上有硝基,则具有致突变性;吲哚类似物除 1 位外,如果在 2 或 4 位上有硝基,则具有致突变性。
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来源期刊
Genes and Environment
Genes and Environment Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
4.00
自引率
0.00%
发文量
24
审稿时长
27 weeks
期刊介绍: Genes and Environment is an open access, peer-reviewed journal that aims to accelerate communications among global scientists working in the field of genes and environment. The journal publishes articles across a broad range of topics including environmental mutagenesis and carcinogenesis, environmental genomics and epigenetics, molecular epidemiology, genetic toxicology and regulatory sciences. Topics published in the journal include, but are not limited to, mutagenesis and anti-mutagenesis in bacteria; genotoxicity in mammalian somatic cells; genotoxicity in germ cells; replication and repair; DNA damage; metabolic activation and inactivation; water and air pollution; ROS, NO and photoactivation; pharmaceuticals and anticancer agents; radiation; endocrine disrupters; indirect mutagenesis; threshold; new techniques for environmental mutagenesis studies; DNA methylation (enzymatic); structure activity relationship; chemoprevention of cancer; regulatory science. Genetic toxicology including risk evaluation for human health, validation studies on testing methods and subjects of guidelines for regulation of chemicals are also within its scope.
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