全氟辛烷磺酸(PFOS)暴露对斑马鱼胚胎-幼鱼代谢生理不良影响的硅学生物标志物分析

Rayna M Nolen, Lene H. Petersen, Karl Kaiser, Antonietta Quigg, D. Hala
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摘要

全氟辛烷磺酸(PFOS)是一种在全球水生生态系统中无处不在的污染物,人们越来越关注它因无意接触而对水生野生动物产生的毒性。为了评估接触全氟辛烷磺酸对栖息在受污染生态系统中的水生野生动物可能产生的不利影响,有必要确定其接触和毒性的生物标志物。我们采用综合系统毒理学框架来确定鱼类体内全氟辛烷磺酸毒性的生理相关生物标志物。我们使用了斑马鱼(Danio rerio)的硅计量代谢模型来整合体内毒理学研究中现有的(由其他作者发表的)代谢组学和转录组学数据集,以及斑马鱼受精后 5 天的胚胎-幼鱼生命阶段的数据集。实验得出的 omics 数据集被用作斑马鱼新陈代谢硅学数学模型参数化的约束条件。使用通量平衡分析(FBA)及其扩展方法进行的硅学模拟显示,暴露于全氟辛烷磺酸会对肉碱穿梭和脂肪酸氧化产生显著影响。对受影响代谢反应的代谢物的进一步分析表明,肉碱是代表性最高的辅助因子代谢物。通量模拟还显示,在暴露于全氟辛烷磺酸的情况下,脂肪酸和酰基-羧酸池的增加接近于剂量反应。综上所述,我们的综合硅学结果表明,暴露于全氟辛烷磺酸会导致血脂异常,并独特地将肉碱确定为候选代谢物生物标志物。作者在随后进行的体内环境监测研究中对这一预测进行了验证,结果表明肉碱是墨西哥湾北部野生鱼类和海洋哺乳动物体内全氟辛烷磺酸暴露的一种模式生物标志物。因此,我们强调了 FBA 在研究大规模代谢网络特性和确定水生野生动物接触污染物的生物标志物方面的功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico biomarker analysis of the adverse effects of perfluorooctane sulfonate (PFOS) exposure on the metabolic physiology of embryo-larval zebrafish
Perfluorooctane sulfonate (PFOS) is a ubiquitous pollutant in global aquatic ecosystems with increasing concern for its toxicity to aquatic wildlife through inadvertent exposures. To assess the likely adverse effects of PFOS exposure on aquatic wildlife inhabiting polluted ecosystems, there is a need to identify biomarkers of its exposure and toxicity. We used an integrated systems toxicological framework to identify physiologically relevant biomarkers of PFOS toxicity in fish. An in silico stoichiometric metabolism model of zebrafish (Danio rerio) was used to integrate available (published by other authors) metabolomics and transcriptomics datasets from in vivo toxicological studies with 5 days post fertilized embryo-larval life stage of zebrafish. The experimentally derived omics datasets were used as constraints to parameterize an in silico mathematical model of zebrafish metabolism. In silico simulations using flux balance analysis (FBA) and its extensions showed prominent effects of PFOS exposure on the carnitine shuttle and fatty acid oxidation. Further analysis of metabolites comprising the impacted metabolic reactions indicated carnitine to be the most highly represented cofactor metabolite. Flux simulations also showed a near dose-responsive increase in the pools for fatty acids and acyl-CoAs under PFOS exposure. Taken together, our integrative in silico results showed dyslipidemia effects under PFOS exposure and uniquely identified carnitine as a candidate metabolite biomarker. The verification of this prediction was sought in a subsequent in vivo environmental monitoring study by the authors which showed carnitine to be a modal biomarker of PFOS exposure in wild-caught fish and marine mammals sampled from the northern Gulf of Mexico. Therefore, we highlight the efficacy of FBA to study the properties of large-scale metabolic networks and to identify biomarkers of pollutant exposure in aquatic wildlife.
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