OPAHs对斑马鱼胚胎的急性毒性预测
Prediction of Acute Toxicity by OPAHs to Zebrafish Embryos
-
摘要: 含氧多环芳烃(OPAHs)是化石燃料不完全燃烧或多环芳烃化学氧化、光化学氧化和生物氧化形成的一类新污染物。迄今,已有许多OPAHs在环境中被检出,一些OPAHs具有发育毒性、致突变性和致癌性。但是,仍有很多OPAHs缺少毒性数据。定量结构-活性关系(QSAR)可以预测OPAHs的毒性,以减少昂贵、耗时、费力的毒性测试。本研究基于前人报道的斑马鱼(Danio rerio)胚胎毒性logEC50实验数据,采用B3LYP/6-31G(d,p)方法优化分子结构,计算量子化学描述符和Dragon描述符,基于多元线性逐步回归方法构建了OPAHs的斑马鱼胚胎急性毒性QSAR模型。模型包含4个描述符:化学势(μ)、最大电拓扑参数(MAXDP)、Moriguchi正辛醇-水分配系数(MLOGP)和芳香性指数(AROM),表明OPAHs的得失电子能力和疏水性是影响毒性的主要原因。模型的决定系数(R2=0.781)、外部验证以及去一法交叉验证结果表明,模型具有较好的预测能力和稳健性。采用Williams图表征了模型的应用域。该模型可以用于OPAHs斑马鱼胚胎急性毒性的预测,为其生态风险评价提供数据支持。Abstract: Oxygenated polycyclic aromatic hydrocarbons (OPAHs) are a new type of pollutants formed through incomplete combustion of fossil fuels or chemical oxidation, photooxidation and biological oxidation of polycyclic aromatic hydrocarbons. To date, many OPAHs have been detected in the environment, and some OPAHs have developmental toxicity, mutagenicity and carcinogenicity. However, a lot of OPAHs still lack toxicity data. Quantitative structure-activity relationship (QSAR) can be used to predict toxicity of OPAHs to reduce cost, time and labor consuming from toxicity tests. Based on reported experimental logEC50 values of the zebrafish (Danio rerio) embryos, a QSAR model of acute toxicity for OPAHs was developed by stepwise multiple linear regression method. Based on the optimized molecular structure derived from B3LYP/6-31G(d,p) method, quantum chemical descriptors and Dragon descriptors were calculated. The optimized model was comprised of four descriptors including chemical potential (μ), maximal electrotopological positive variation topological indices (MAXDP), Moriguchi octanol-water partition coefficient (MLOGP) and aromaticity index geometrical descriptors (AROM). The descriptors indicated that the ability to gain and lose electrons and hydrophobicity of OPAHs were the main contribution to toxicity. The values of model coefficient determination (R2=0.781), external validation and the leave-one-out cross validation showed that the model had good predictive ability and robustness. The application domain of the model was characterized based on Williams diagram. The model developed in this study can be used to predict the acute toxicity of OPAHs to zebrafish embryos and provide data for their ecological risk assessment.
-
-
Layshock J A, Wilson G, Anderson K A. Ketone and quinone-substituted polycyclic aromatic hydrocarbons in mussel tissue, sediment, urban dust, and diesel particulate matrices[J]. Environmental Toxicology and Chemistry, 2010, 29(11):2450-2460 Clergé A, Le Goff J, Lopez C, et al. Oxy-PAHs:Occurrence in the environment and potential genotoxic/mutagenic risk assessment for human health[J]. Critical Reviews in Toxicology, 2019, 49(4):302-328 Su Y H, Zhu Y G. Uptake of selected PAHs from contaminated soils by rice seedlings (Oryza sativa) and influence of rhizosphere on PAH distribution[J]. Environmental Pollution, 2008, 155(2):359-365 Knecht A L, Goodale B C, Truong L, et al. Comparative developmental toxicity of environmentally relevant oxygenated PAHs[J]. Toxicology and Applied Pharmacology, 2013, 271(2):266-275 Wang W T, Jariyasopit N, Schrlau J, et al. Concentration and photochemistry of PAHs, NPAHs, and OPAHs and toxicity of PM2.5 during the Beijing Olympic Games[J]. Environmental Science & Technology, 2011, 45(16):6887-6895 Sharma A, Singh K, Almasan A. Histone H2AX phosphorylation:A marker for DNA damage[J]. Methods in Molecular Biology, 2012, 920:613-626 Mattsson A, Lundstedt S, Stenius U. Exposure of HepG2 cells to low levels of PAH-containing extracts from contaminated soils results in unpredictable genotoxic stress responses[J]. Environmental and Molecular Mutagenesis, 2009, 50(4):337-348 Chibwe L, Geier M C, Nakamura J, et al. Aerobic bioremediation of PAH contaminated soil results in increased genotoxicity and developmental toxicity[J]. Environmental Science & Technology, 2015, 49(23):13889-13898 Schemeth D, Nielsen N J, Andersson J T, et al. A tiered analytical approach for target, non-target and suspect screening analysis of polar transformation products of polycyclic aromatic compounds[J]. Chemosphere, 2019, 235:175-184 席越, 杨先海, 张红雨, 等. 基于形态修正的描述符构建可电离化合物对大型溞急性毒性的QSAR模型[J]. 生态毒理学报, 2019, 14(4):183-191 Xi Y, Yang X H, Zhang H Y, et al. Development of acute toxicity of Daphnia magna QSAR models for ionogenic organic chemicals based on chemical form adjusted descriptors[J]. Asian Journal of Ecotoxicology, 2019, 14(4):183-191(in Chinese)
Wang Y, Chen J W, Li F, et al. Modeling photoinduced toxicity of PAHs based on DFT-calculated descriptors[J]. Chemosphere, 2009, 76(7):999-1005 王斌, 余刚, 黄俊, 等. QSAR/QSPR在POPs归趋与风险评价中的应用[J]. 化学进展, 2007, 19(10):1612-1619 Wang B, Yu G, Huang J, et al. Application of QSAR/QSPR in fate evaluation and risk assessment of POPs[J]. Progress in Chemistry, 2007, 19(10):1612-1619(in Chinese)
Organization for Economic Co-operation and Development (OECD). Guidance document on the validation of (quantitative) structure-activity relationship[(Q)SAR] models[M]//Environment Health and Safety Publications Series on Testing and Assessment. Paris:OECD, 2007, 2:1-154 Frish M J, Trucks G W, Schlegel H B, et al. Gaussian 09, Revision A.02[CP]. Wallingford, CT:Gaussian, Inc., 2009 Talete S R L. Dragon (Software for Molecular Descriptor Calculation) Version 6.0[CP]. Milano:Talete, 2012 United States Environmental Protection Agency (US EPA). Estimation Programs Interface SuiteTM for Microsoft Windows, v 4.10[CP]. Washington DC:US EPA, 2012 Schüürmann G, Ebert R U, Chen J W, et al. External validation and prediction employing the predictive squared correlation coefficient test set activity mean vs training set activity mean[J]. Journal of Chemical Information and Modeling, 2008, 48(11):2140-2145 Eriksson L, Jaworska J, Worth A P, et al. Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs[J]. Environmental Health Perspectives, 2003, 111(10):1361-1375 Furusjö E, Svenson A, Rahmberg M, et al. The importance of outlier detection and training set selection for reliable environmental QSAR predictions[J]. Chemosphere, 2006, 63(1):99-108 Liu H H, Wei M B, Yang X H, et al. Development of TLSER model and QSAR model for predicting partition coefficients of hydrophobic organic chemicals between low density polyethylene film and water[J]. Science of the Total Environment, 2017, 574:1371-1378 Hall M, Frank E, Holmes G, et al. The WEKA data mining software[J]. ACM SIGKDD Explorations Newsletter, 2009, 11(1):10-18 Liu S S, Jin L M, Yu H Y, et al. Understanding and predicting the diffusivity of organic chemicals for diffusive gradients in thin-films using a QSPR model[J]. Science of the Total Environment, 2020, 706:135691 Hackett J C. Chemical reactivity theory:A density functional view[J]. Journal of the American Chemical Society, 2010, 132(21):7558 Rashad A, Mahmoud M, El-Desawy M. FTIR and UV spectroscopic analysis of sparfloxacin combined with theoretical study based on DFT calculations[J]. Arab Journal of Nuclear Sciences and Applications, 2021, 54(1):51-65 Wang D D, Feng L L, He G Y, et al. QSAR studies for the acute toxicity of nitrobenzenes to the Tetrahymena pyriformis[J]. Journal of the Serbian Chemical Society, 2014, 79(9):1111-1125 Todeschini R, Consonni V. Handbook of Molecular Descriptors[M]. Weinheim:WileyVCH, 2000:367-375 Li F, Li X H, Liu X L, et al. Noncovalent interactions between hydroxylated polycyclic aromatic hydrocarbon and DNA:Molecular docking and QSAR study[J]. Environmental Toxicology and Pharmacology, 2011, 32(3):373-381 Gbeddy G, Egodawatta P, Goonetilleke A, et al. Application of quantitative structure-activity relationship (QSAR) model in comprehensive human health risk assessment of PAHs, and alkyl-, nitro-, carbonyl-, and hydroxyl-PAHs laden in urban road dust[J]. Journal of Hazardous Materials, 2020, 383:121154 Chlebowski A C, Garcia G R, Du J K L, et al. Mechanistic investigations into the developmental toxicity of nitrated and heterocyclic PAHs[J]. Toxicological Sciences, 2017, 157(1):246-259 -

计量
- 文章访问数: 2092
- HTML全文浏览数: 2092
- PDF下载数: 77
- 施引文献: 0