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运用 和 机器学习方法来确定鸟类中溴代二恶英类似物的种特异性二恶英类毒性和同系物特异性相对敏感性。

Using and Machine Learning Approaches to Determine Species-Specific Dioxin-like Potency and Congener-Specific Relative Sensitivity among Birds for Brominated Dioxin Analogues.

机构信息

School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China.

Department of Gynecology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China.

出版信息

Environ Sci Technol. 2021 Dec 7;55(23):16056-16066. doi: 10.1021/acs.est.1c05951. Epub 2021 Nov 11.

Abstract

There is a paucity of experimental data regarding dioxin-like toxicity of polybrominated dibenzo--dioxins/dibenzofurans (PBDD/Fs) and non- polybrominated biphenyls (PBBs). In this study, avian aryl hydrocarbon receptor 1 (AHR1)-luciferase reporter gene assays were used to determine their species-specific dioxin-like potencies (DLPs) and congener-specific interspecies relative sensitivities in birds. The results suggested that DLPs of the brominated congeners for chicken-like (Ile324_Ser380) species did not always follow World Health Organization toxicity equivalency factors of their chlorinated analogues. For ring-necked pheasant-like (Ile324_Ala380) and Japanese quail-like (Val324_Ala380) species, the difference in DLP for several congeners was 1 or even 2 orders of magnitude. Moreover, molecular docking and molecular dynamics simulation were performed to explore the interactions between the brominated congeners and AHR1-ligand-binding domain (LBD). The molecular mechanics energy () between each congener and each individual amino acid (AA) residue in AHR1-LBD was calculated. These values could finely characterize the final conformation of species-specific AHR1-LBD for each brominated congener. Based on this, mechanism-driven generalized linear models were successfully built using machine learning algorithms and the spline approximation method, and these models could qualitatively predict the complex relationships between AHR1 conformations and DLPs or avian interspecies relative sensitivity to brominated dioxin-like compounds (DLCs). In addition, several AAs conserved among birds were found to potentially interact with species-specific AAs, thereby inducing species-specific interactions between AHR1 and brominated DLCs. The present study provides a novel strategy to facilitate the development of mechanism-driven computational prediction models for supporting safety assessment of DLCs, as well as a basis for the ecotoxicological risk assessment of brominated congeners in birds.

摘要

关于多溴二苯并-对二噁英/呋喃(PBDD/Fs)和非多溴联苯(PBBs)的类似二噁英毒性的实验数据很少。在这项研究中,使用禽类芳香烃受体 1(AHR1)-荧光素酶报告基因检测法来确定其种特异性二噁英样效力(DLPs)和种间相对敏感性。结果表明,鸡样(Ile324_Ser380)物种的溴代同系物的 DLPs 并不总是遵循世界卫生组织对其氯化类似物的毒性当量系数。对于环颈雉样(Ile324_Ala380)和日本鹌鹑样(Val324_Ala380)物种,几种同系物的 DLP 差异为 1 甚至 2 个数量级。此外,还进行了分子对接和分子动力学模拟,以探索溴代同系物与 AHR1-配体结合域(LBD)之间的相互作用。计算了每个溴代同系物与 AHR1-LBD 中每个单独氨基酸(AA)残基之间的分子力学能量()。这些值可以很好地描述每个溴代同系物的种特异性 AHR1-LBD 的最终构象。在此基础上,成功地使用机器学习算法和样条逼近方法构建了基于机制的广义线性模型,并且可以定性地预测 AHR1 构象与 DLPs 或鸟类对溴代二噁英样化合物(DLCs)的种间相对敏感性之间的复杂关系。此外,还发现了鸟类之间保守的几个 AA,它们可能与种特异性 AA 相互作用,从而在 AHR1 和溴代 DLCs 之间诱导种特异性相互作用。本研究提供了一种新的策略,有助于开发基于机制的计算预测模型,以支持 DLCs 的安全性评估,并为鸟类中溴代同系物的生态毒理学风险评估提供基础。

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