改进的基于生理动力学(PBK)的鸟类农药生物转移模型:羽毛动力学的作用

IF 3.1 Q2 TOXICOLOGY Computational Toxicology Pub Date : 2023-05-01 DOI:10.1016/j.comtox.2023.100268
Zijian Li
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引用次数: 1

摘要

农药可以通过食物网运输,并在鸟类体内生物积累。羽毛可以作为一种生物标志物来调查鸟类的农药暴露情况,但目前还没有模型方法可以将鸟类每天摄入的农药与羽毛中的农药含量联系起来。为了填补这一空白,我们提出了一种基于生理学的动力学建模方法,该方法考虑了羽毛隔室和羽毛生长动力学,以估计农药在鸟类体内的生物转移潜力。与非羽毛模型相比,羽毛隔室作为鸟类体内农药的额外消除途径,导致鸟类体内模拟农药的总体浓度降低。由于热力学(如分配势)或动力学(如消除率)的原因,高亲脂性或高挥发性农药在羽毛中的生物转移势异常差。因此,遗留农药(如持久性有机污染物)在羽毛中的生物转移潜力有限,而羽毛中遗留农药的存在可能意味着相对较高的每日农药消耗率,这可能影响鸟类的生殖健康。敏感性和变异性试验表明,农药在禽类肝脏中的代谢(或生物转化)动力学显著影响农药在禽类羽毛中的生物转移潜力。鉴于缺乏农药在禽肝脏代谢动力学的信息,我们强烈建议未来的研究(例如体内或体外研究)确定农药在禽肝脏中的代谢或生物转化速率,以提高模型的性能。此外,使用额外的生物标志物,如血液和尿酸,在评估鸟类暴露于杀虫剂方面可能是有价值的。希望这项研究能帮助生态学家从建模的角度理解农药在鸟类羽毛中的命运、运输和生物转移。
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Improved physiologically based kinetic (PBK) matrix for biotransfer modeling of pesticides in birds: The role of feather dynamics

Pesticides can transport via food webs and bioaccumulate in birds. Feathers can be used as a biomarker to investigate the bird's pesticide exposure, but there are no modeling methodologies that can link the bird's daily intake of pesticides to their amounts in feathers. To fill this gap, we propose a physiologically based kinetic modeling approach that takes into account the feather compartment and feather growth dynamics to estimate pesticide biotransfer potentials in the bird's body. In comparison with the non-feather model, the feather compartment acted as an additional elimination pathway for pesticides from the bird's body, resulting in a decrease in the overall simulated pesticide concentrations in the bird's body. High-lipophilic or high-volatile pesticides had exceptionally poor biotransfer potentials in feathers due to thermodynamics (e.g., partitioning potentials) or kinetics (e.g., elimination rates). As a result, legacy pesticides (such as persistent organic pollutants) will have limited biotransfer potentials in feathers, and the presence of legacy pesticides in feathers could imply relatively high daily pesticide consumption rates, which could affect bird reproductive health. The sensitivity and variability tests revealed that the metabolic (or biotransformation) kinetics of pesticides in avian livers influenced the biotransfer potential of pesticides in feathers significantly. Given the lack of information on pesticide metabolic kinetics in avian livers, we strongly suggest that future research (e.g., in vivo or in vitro studies) determine the metabolic or biotransformation rates of pesticides in avian livers in order to improve the performance of models. Furthermore, the use of additional biomarkers such as blood and uric acid could be valuable in assessing birds' exposure to pesticides. Hopefully, this study will help ecologists comprehend the fate, transport, and biotransfer of pesticides in bird feathers from a modeling point of view.

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来源期刊
Computational Toxicology
Computational Toxicology Computer Science-Computer Science Applications
CiteScore
5.50
自引率
0.00%
发文量
53
审稿时长
56 days
期刊介绍: Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
期刊最新文献
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