Kun Qiao, Shuting Wang, Aoxue Wang, Zhuoying Liang, Siyu Yang, Yongfang Ma, Shuying Li, Qingfu Ye, Wenjun Gui
{"title":"通过氚-水释放试验建立 23 种三唑类杀菌剂芳香化酶抑制活性的 QSAR 模型","authors":"Kun Qiao, Shuting Wang, Aoxue Wang, Zhuoying Liang, Siyu Yang, Yongfang Ma, Shuying Li, Qingfu Ye, Wenjun Gui","doi":"10.1016/j.envpol.2025.125832","DOIUrl":null,"url":null,"abstract":"The 1,2,4-triazole fungicides are extensively used in agriculture, and their impacts on aquatic organisms by continuous release are increasingly concerned. Aromatase, a rate-limiting enzyme for androgens converting to estrogens, is considered as a potential target for triazole fungicides. To reveal and predict the aromatase inhibition capacity of the existing and future developed triazole fungicides, 23 commonly used 1,2,4-triazole fungicides were used for the evaluation of their inhibitory effects (expressed as the 50% inhibitory concentration (IC<sub>50</sub>)) on human aromatase by <sup>3</sup>H-H<sub>2</sub>O release assay in the present study. Result showed the IC<sub>50</sub> values spanned four orders of magnitude from the strongest of 44 nM (flusilazole) to the lowest of 0.330 mM (bitertanol). The aromatase inhibitory activity of the triazoles was also verified <em>in vivo</em> by zebrafish use two triazoles with relatively weak inhibition. Subsequently, the Quantitative Structure-Activity Relationship (QSAR) modeling on the triazoles as aromatase inhibitors was constructed using stepwise regression analysis with the chemical structural descriptors including physicochemical, electronic and topological parameters. The optimal QSAR model was defined as <em>pIC</em><sub><em>50</em></sub> = -22.936 - 2.668 <em>E</em><sub><em>Homo</em></sub> + 0.938 <em>logD</em> - 0.715 <em>N</em><sub><em>HBD</em></sub>. The effectiveness and robustness of the model were evaluated by internal and external validation with residual assessment. The internal validation showed that the R<sup>2</sup> and R<sub>adj</sub><sup>2</sup> were both higher than 0.700. The CCC and CCC<sub>Ext</sub> were in acceptable levels as the cutoff value of 0.850. The cross-validation correlation coefficient Q<sup>2</sup> and the external predictive correlation coefficients (Q<sup>2</sup>-F1, Q<sup>2</sup>-F2, and Q<sup>2</sup>-F3) were all greater than 0.600. The results of Y-Scrambling with 2000 iterations indicated the model had no accidental correlation as the average R<sup>2</sup> of 0.166 and Q<sup>2</sup> of -0.378. The findings offered data support for the potential risks associated with triazole fungicides in aquatic environment and provided theoretical guidance to expedite drug development and risk assessment.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"41 1","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"QSAR Modeling on Aromatase Inhibitory Activity of 23 Triazole Fungicides by Tritium-Water Release Assay\",\"authors\":\"Kun Qiao, Shuting Wang, Aoxue Wang, Zhuoying Liang, Siyu Yang, Yongfang Ma, Shuying Li, Qingfu Ye, Wenjun Gui\",\"doi\":\"10.1016/j.envpol.2025.125832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 1,2,4-triazole fungicides are extensively used in agriculture, and their impacts on aquatic organisms by continuous release are increasingly concerned. Aromatase, a rate-limiting enzyme for androgens converting to estrogens, is considered as a potential target for triazole fungicides. To reveal and predict the aromatase inhibition capacity of the existing and future developed triazole fungicides, 23 commonly used 1,2,4-triazole fungicides were used for the evaluation of their inhibitory effects (expressed as the 50% inhibitory concentration (IC<sub>50</sub>)) on human aromatase by <sup>3</sup>H-H<sub>2</sub>O release assay in the present study. Result showed the IC<sub>50</sub> values spanned four orders of magnitude from the strongest of 44 nM (flusilazole) to the lowest of 0.330 mM (bitertanol). The aromatase inhibitory activity of the triazoles was also verified <em>in vivo</em> by zebrafish use two triazoles with relatively weak inhibition. Subsequently, the Quantitative Structure-Activity Relationship (QSAR) modeling on the triazoles as aromatase inhibitors was constructed using stepwise regression analysis with the chemical structural descriptors including physicochemical, electronic and topological parameters. The optimal QSAR model was defined as <em>pIC</em><sub><em>50</em></sub> = -22.936 - 2.668 <em>E</em><sub><em>Homo</em></sub> + 0.938 <em>logD</em> - 0.715 <em>N</em><sub><em>HBD</em></sub>. The effectiveness and robustness of the model were evaluated by internal and external validation with residual assessment. The internal validation showed that the R<sup>2</sup> and R<sub>adj</sub><sup>2</sup> were both higher than 0.700. The CCC and CCC<sub>Ext</sub> were in acceptable levels as the cutoff value of 0.850. The cross-validation correlation coefficient Q<sup>2</sup> and the external predictive correlation coefficients (Q<sup>2</sup>-F1, Q<sup>2</sup>-F2, and Q<sup>2</sup>-F3) were all greater than 0.600. The results of Y-Scrambling with 2000 iterations indicated the model had no accidental correlation as the average R<sup>2</sup> of 0.166 and Q<sup>2</sup> of -0.378. The findings offered data support for the potential risks associated with triazole fungicides in aquatic environment and provided theoretical guidance to expedite drug development and risk assessment.\",\"PeriodicalId\":311,\"journal\":{\"name\":\"Environmental Pollution\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Pollution\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.envpol.2025.125832\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Pollution","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.envpol.2025.125832","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
QSAR Modeling on Aromatase Inhibitory Activity of 23 Triazole Fungicides by Tritium-Water Release Assay
The 1,2,4-triazole fungicides are extensively used in agriculture, and their impacts on aquatic organisms by continuous release are increasingly concerned. Aromatase, a rate-limiting enzyme for androgens converting to estrogens, is considered as a potential target for triazole fungicides. To reveal and predict the aromatase inhibition capacity of the existing and future developed triazole fungicides, 23 commonly used 1,2,4-triazole fungicides were used for the evaluation of their inhibitory effects (expressed as the 50% inhibitory concentration (IC50)) on human aromatase by 3H-H2O release assay in the present study. Result showed the IC50 values spanned four orders of magnitude from the strongest of 44 nM (flusilazole) to the lowest of 0.330 mM (bitertanol). The aromatase inhibitory activity of the triazoles was also verified in vivo by zebrafish use two triazoles with relatively weak inhibition. Subsequently, the Quantitative Structure-Activity Relationship (QSAR) modeling on the triazoles as aromatase inhibitors was constructed using stepwise regression analysis with the chemical structural descriptors including physicochemical, electronic and topological parameters. The optimal QSAR model was defined as pIC50 = -22.936 - 2.668 EHomo + 0.938 logD - 0.715 NHBD. The effectiveness and robustness of the model were evaluated by internal and external validation with residual assessment. The internal validation showed that the R2 and Radj2 were both higher than 0.700. The CCC and CCCExt were in acceptable levels as the cutoff value of 0.850. The cross-validation correlation coefficient Q2 and the external predictive correlation coefficients (Q2-F1, Q2-F2, and Q2-F3) were all greater than 0.600. The results of Y-Scrambling with 2000 iterations indicated the model had no accidental correlation as the average R2 of 0.166 and Q2 of -0.378. The findings offered data support for the potential risks associated with triazole fungicides in aquatic environment and provided theoretical guidance to expedite drug development and risk assessment.
期刊介绍:
Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health.
Subject areas include, but are not limited to:
• Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies;
• Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change;
• Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects;
• Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects;
• Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest;
• New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.