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Quantitative analysis of the relative mutagenicity of five chemical constituents of tobacco smoke in the mouse lymphoma assay

机译:小鼠淋巴瘤试验中烟草烟雾五种化学成分的相对诱变性定量分析

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Quantifying health-related biological effects, like genotoxicity, could provide a way of distinguishing between tobacco products. In order to develop tools for using genotoxicty data to quantitatively evaluate the risk of tobacco products, we tested five carcinogens found in cigarette smoke, 4-aminobiphenyl (4-ABP), benzo[a]pyrene (BaP), cadmium (in the form of CdCl2), 2-amino-3,4-dimethyl-3H-imidazo[4,5-f]quinoline (MeIQ) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), in the mouse lymphoma assay (MLA). The resulting mutagenicity dose responses were analyzed by various quantitative approaches and their strengths and weaknesses for distinguishing responses in the MLA were evaluated. L5178Y/Tk (+/-) 3.7.2C mouse lymphoma cells were treated with four to seven concentrations of each chemical for 4h. Only CdCl2 produced a positive response without metabolic activation (S9); all five chemicals produced dose-dependent increases in cytotoxicity and mutagenicity with S9. The lowest dose exceeding the global evaluation factor, the benchmark dose producing a 10%, 50%, 100% or 200% increase in the background frequency (BMD10, BMD50, BMD100 and BMD200), the no observed genotoxic effect level (NOGEL), the lowest observed genotoxic effect level (LOGEL) and the mutagenic potency expressed as a mutant frequency per micromole of chemical, were calculated for all the positive responses. All the quantitative metrics had similar rank orders for the agents' ability to induce mutation, from the most to least potent as CdCl2(-S9) > BaP(+S9) > CdCl2(+S9) > MeIQ(+S9) > 4-ABP(+S9) > NNK(+S9). However, the metric values for the different chemical responses (i.e. the ratio of the greatest value to the least value) for the different chemicals ranged from 16-fold (BMD10) to 572-fold (mutagenic potency). These results suggest that data from the MLA are capable of discriminating the mutagenicity of various constituents of cigarette smoke, and that quantitative analyses are available that can be useful in distinguishing between the exposure responses.
机译:量化与健康相关的生物效应,例如遗传毒性,可以提供一种区分烟草制品的方法。为了开发使用遗传毒性数据定量评估烟草制品风险的工具,我们测试了香烟烟雾中发现的五种致癌物,4-氨基联苯(4-ABP),苯并[a] py(BaP),镉(以CdCl2),2-氨基-3,4-二甲基-3H-咪唑并[4,5-f]喹啉(MeIQ)和4-(甲基亚硝氨基)-1-(3-吡啶基)-1-丁酮(NNK),在小鼠淋巴瘤检测(MLA)中。通过多种定量方法分析了产生的致突变性剂量反应,并评估了其在MLA中区分反应的优缺点。将L5178Y / Tk(+/-)3.7.2C小鼠淋巴瘤细胞用4至7种浓度的每种化学品处理4小时。仅CdCl2产生阳性反应而没有代谢活化(S9);所有这五种化学物质均对S9产生剂量依赖性的细胞毒性和致突变性增加。最低剂量超过了总体评估因子,基准剂量使背景频率(BMD10,BMD50,BMD100和BMD200)增加了10%,50%,100%或200%,未观察到遗传毒性作用水平(NOGEL),对于所有阳性反应,计算出最低的观察到的遗传毒性作用水平(LOGEL)和以每微摩尔化学物质的突变频率表示的诱变力。对于试剂诱导突变的能力,所有定量指标具有相似的等级顺序,从最高到最低为CdCl2(-S9)> BaP(+ S9)> CdCl2(+ S9)> MeIQ(+ S9)> 4- ABP(+ S9)> NNK(+ S9)。但是,对于不同化学物质,不同化学反应的度量值(即最大值与最小值之比)在16倍(BMD10)至572倍(诱变力)的范围内。这些结果表明,来自MLA的数据能够区分卷烟烟雾中各种成分的致突变性,并且可获得定量分析,可用于区分暴露响应。

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