• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于高通量筛选的报告基因检测中的基线毒性和挥发性截止值。

Baseline Toxicity and Volatility Cutoff in Reporter Gene Assays Used for High-Throughput Screening.

机构信息

Department of Cell Toxicology , Helmholtz Centre for Environmental Research - UFZ , Permoserstr. 15 , DE-04318 Leipzig , Germany.

Environmental Toxicology, Center for Applied Geoscience , Eberhard Karls University Tübingen , Hölderlinstr. 12 , DE-72074 Tübingen , Germany.

出版信息

Chem Res Toxicol. 2019 Aug 19;32(8):1646-1655. doi: 10.1021/acs.chemrestox.9b00182. Epub 2019 Aug 2.

DOI:10.1021/acs.chemrestox.9b00182
PMID:31313575
Abstract

Most studies using high-throughput cell-based bioassays tested chemicals up to a certain fixed concentration. It would be more appropriate to test up to concentrations predicted to elicit baseline toxicity because this is the minimal toxicity of every chemical. Baseline toxicity is also called narcosis and refers to nonspecific intercalation of chemicals in biological membranes, leading to loss of membrane structure and impaired functioning of membrane-related processes such as mitochondrial respiration. In cells, baseline toxicity manifests as cytotoxicity, which was quantified by a robust live-cell imaging method. Inhibitory concentrations for baseline toxicity varied by orders of magnitude between chemicals and were described by a simple quantitative structure activity relationship (QSAR) with the liposome-water partition constant as a sole descriptor. The QSAR equations were remarkably similar for eight reporter gene cell lines of different cellular origin, six of which were used in Tox21. Mass-balance models indicated constant critical membrane concentrations for all cells and all chemicals with a mean of 69 mmol·kg(95% CI: 49-89), which is in the same range as for bacteria and aquatic organisms and consistent with the theory of critical membrane burden of narcosis. The challenge of developing baseline QSARs for cell lines is that many confirmed baseline toxicants are rather volatile. We deduced from cytotoxicity experiments with semi-volatile chemicals that only chemicals with medium-air partition constants >10,000 L/L can be tested in standard robotic setups without appreciable loss of effect. Chemicals just below that cutoff showed crossover effects in neighboring wells, whereas the effects of chemicals with lower medium-air partition constants were plainly lost. Applying the "volatility cut-off" to >8000 chemicals tested in Tox21 indicated that approximately 20% of Tox21 chemicals could have partially been lost during the experiments. We recommend applying the baseline QSARs together with volatility cut-offs for experimental planning of reporter gene assays, that is, to dose only chemicals with medium-air partition constants >10,000 at concentrations up to the baseline toxicity level.

摘要

大多数使用高通量细胞生物测定的研究都将化学物质测试到某个固定浓度。更合适的做法是测试到预计会引起基线毒性的浓度,因为这是每种化学物质的最小毒性。基线毒性也称为麻醉作用,是指化学物质在生物膜中的非特异性插入,导致膜结构丧失和膜相关过程(如线粒体呼吸)受损。在细胞中,基线毒性表现为细胞毒性,这可以通过稳健的活细胞成像方法进行定量。基线毒性的抑制浓度在化学物质之间相差几个数量级,并通过简单的定量构效关系(QSAR)用脂质体-水分配常数作为唯一描述符来描述。对于来自不同细胞来源的八个报告基因细胞系,QSAR 方程非常相似,其中六个用于 Tox21。质量平衡模型表明,所有细胞和所有化学物质的临界膜浓度都相同,平均值为 69mmol·kg(95%置信区间:49-89),与细菌和水生生物的范围相同,与麻醉作用的临界膜负担理论一致。为细胞系开发基线 QSAR 的挑战在于,许多已确认的基线毒物相当易挥发。我们从半挥发性化学物质的细胞毒性实验中推断出,只有中等空气分配常数 >10,000 L/L 的化学物质才能在标准机器人设置中进行测试,而不会明显降低效果。刚好低于该截止值的化学物质在相邻孔中显示出交叉效应,而较低的中等空气分配常数的化学物质的作用则明显丧失。将“挥发性截止值”应用于 Tox21 中测试的>8000 种化学物质表明,大约 20%的 Tox21 化学物质在实验过程中可能部分丢失。我们建议在报告基因测定的实验计划中应用基线 QSAR 以及挥发性截止值,即仅在空气分配常数>10,000 的化学物质在达到基线毒性水平的浓度下进行剂量处理。

相似文献

1
Baseline Toxicity and Volatility Cutoff in Reporter Gene Assays Used for High-Throughput Screening.用于高通量筛选的报告基因检测中的基线毒性和挥发性截止值。
Chem Res Toxicol. 2019 Aug 19;32(8):1646-1655. doi: 10.1021/acs.chemrestox.9b00182. Epub 2019 Aug 2.
2
Cytotoxicity Burst? Differentiating Specific from Nonspecific Effects in Tox21 Reporter Gene Assays.细胞毒性爆发?在 Tox21 报告基因检测中区分特异性与非特异性效应
Environ Health Perspect. 2020 Jul;128(7):77007. doi: 10.1289/EHP6664. Epub 2020 Jul 23.
3
Modeling Exposure in the Tox21 in Vitro Bioassays.Tox21体外生物测定中的暴露建模
Chem Res Toxicol. 2017 May 15;30(5):1197-1208. doi: 10.1021/acs.chemrestox.7b00023. Epub 2017 Apr 24.
4
Critical Membrane Concentration and Mass-Balance Model to Identify Baseline Cytotoxicity of Hydrophobic and Ionizable Organic Chemicals in Mammalian Cell Lines.临界膜浓度和质量平衡模型,用于鉴定哺乳动物细胞系中疏水和可离子化有机化合物的基线细胞毒性。
Chem Res Toxicol. 2021 Sep 20;34(9):2100-2109. doi: 10.1021/acs.chemrestox.1c00182. Epub 2021 Aug 6.
5
General baseline toxicity QSAR for nonpolar, polar and ionisable chemicals and their mixtures in the bioluminescence inhibition assay with Aliivibrio fischeri.发光细菌生物发光抑制试验中非极性、极性和可离子化化学物质及其混合物的一般基线毒性定量构效关系。
Environ Sci Process Impacts. 2017 Mar 22;19(3):414-428. doi: 10.1039/c6em00692b.
6
Effects of Chemicals in Reporter Gene Bioassays with Different Metabolic Activities Compared to Baseline Toxicity.与基线毒性相比,报告基因生物测定中具有不同代谢活性的化学品的影响。
Chem Res Toxicol. 2024 May 20;37(5):744-756. doi: 10.1021/acs.chemrestox.4c00017. Epub 2024 Apr 23.
7
QSAR for baseline toxicity and classification of specific modes of action of ionizable organic chemicals in the zebrafish embryo toxicity test.QSAR 用于预测可离解有机化合物在斑马鱼胚胎毒性试验中的基线毒性和特定作用模式的分类。
Aquat Toxicol. 2019 Feb;207:110-119. doi: 10.1016/j.aquatox.2018.12.003. Epub 2018 Dec 5.
8
Headspace-free setup of in vitro bioassays for the evaluation of volatile disinfection by-products.无头空间的体外生物测定设置,用于评估挥发性消毒副产物。
Chem Res Toxicol. 2013 Nov 18;26(11):1605-14. doi: 10.1021/tx400263h. Epub 2013 Oct 31.
9
Recommendations for Improving Methods and Models for Aquatic Hazard Assessment of Ionizable Organic Chemicals.建议改进离子有机化学品水生危害评估的方法和模型。
Environ Toxicol Chem. 2020 Feb;39(2):269-286. doi: 10.1002/etc.4602.
10
Development of a general baseline toxicity QSAR model for the fish embryo acute toxicity test.用于鱼类胚胎急性毒性试验的通用基线毒性定量构效关系模型的开发。
Chemosphere. 2016 Dec;164:164-173. doi: 10.1016/j.chemosphere.2016.08.079. Epub 2016 Aug 31.

引用本文的文献

1
Prediction of the water solubility by a graph convolutional-based neural network on a highly curated dataset.基于图卷积神经网络在高度精选数据集上对水溶性进行预测。
J Cheminform. 2025 Apr 21;17(1):55. doi: 10.1186/s13321-025-01000-9.
2
Assessing Modes of Toxic Action of Organic Cations in Cell-Based Bioassays: the Critical Role of Partitioning to Cells and Medium Components.基于细胞的生物测定中评估有机阳离子的毒性作用模式:分配至细胞和培养基成分的关键作用
Chem Res Toxicol. 2025 Mar 17;38(3):488-502. doi: 10.1021/acs.chemrestox.4c00527. Epub 2025 Mar 4.
3
MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data.
MLinvitroTox 重新加载,用于基于高通量危害的高分辨率质谱数据优先级排序。
J Cheminform. 2025 Jan 31;17(1):14. doi: 10.1186/s13321-025-00950-4.
4
Effects of Chemicals in Reporter Gene Bioassays with Different Metabolic Activities Compared to Baseline Toxicity.与基线毒性相比,报告基因生物测定中具有不同代谢活性的化学品的影响。
Chem Res Toxicol. 2024 May 20;37(5):744-756. doi: 10.1021/acs.chemrestox.4c00017. Epub 2024 Apr 23.
5
Water Quality Monitoring with the Multiplexed Assay MitoOxTox for Mitochondrial Toxicity, Oxidative Stress Response, and Cytotoxicity in AREc32 Cells.采用多重分析物测定法 MitoOxTox 监测水质对 AREc32 细胞的线粒体毒性、氧化应激反应和细胞毒性
Environ Sci Technol. 2024 Apr 2;58(13):5716-5726. doi: 10.1021/acs.est.3c09844. Epub 2024 Mar 19.
6
Baseline Toxicity Model to Identify the Specific and Nonspecific Effects of Per- and Polyfluoroalkyl Substances in Cell-Based Bioassays.基于细胞的生物测定中鉴别全氟及多氟烷基物质的特异性和非特异性效应的基线毒性模型。
Environ Sci Technol. 2024 Apr 2;58(13):5727-5738. doi: 10.1021/acs.est.3c09950. Epub 2024 Feb 23.
7
Recovery of 400 Chemicals with Three Extraction Methods for Low Volumes of Human Plasma Quantified by Instrumental Analysis and In Vitro Bioassays.采用三种提取方法从低体积人体血浆中回收 400 种化学物质,并用仪器分析和体外生物测定进行定量。
Environ Sci Technol. 2023 Dec 5;57(48):19363-19373. doi: 10.1021/acs.est.3c05962. Epub 2023 Nov 21.
8
Bioanalytical and chemical characterization of organic micropollutant mixtures in long-term exposed passive samplers from the Joint Danube Survey 4: Setting a baseline for water quality monitoring.长期暴露于联合多瑙河调查 4 号被动采样器中有机微量污染物混合物的生物分析和化学特征:为水质监测设定基线。
Environ Int. 2023 Aug;178:107957. doi: 10.1016/j.envint.2023.107957. Epub 2023 May 11.
9
In vitro bioassays for monitoring drinking water quality of tap water, domestic filtration and bottled water.用于监测自来水、家庭过滤水和瓶装水饮用水质量的体外生物检测。
J Expo Sci Environ Epidemiol. 2024 Jan;34(1):126-135. doi: 10.1038/s41370-023-00566-6. Epub 2023 Jun 16.
10
Characterizing the marine mammal exposome by iceberg modeling, linking chemical analysis and bioassays.通过冰山建模来描绘海洋哺乳动物暴露组,将化学分析和生物测定联系起来。
Environ Sci Process Impacts. 2023 Nov 15;25(11):1802-1816. doi: 10.1039/d3em00033h.