Physiologically based kinetic model for assessing intermittent chronic internal exposure to chemicals: Application for disinfection by-products in swimming pool water

IF 3.1 Q2 TOXICOLOGY
Zijian Li , Jie Xiong , Yuan Guo
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引用次数: 4

Abstract

Chronic exposure to disinfection by-products (DBPs) via swimming in chlorinated pools can damage the genetic material and even cause cancers in humans. To assess the intermittent chronic internal exposure to DBPs in swimming pool water, a physiologically based kinetic (PBK) modeling framework was introduced to simulate daily average internal exposure doses of DBPs that can be linked to the corresponding daily average external doses. Biotransfer factor (BTF), i.e., the steady-state concentration ratio between human bodies and swimming pool water, was applied to measure the bioaccumulation potential of chemicals in organs and tissues. The results simulated for the four selected trihalomethanes (THMs) (i.e., chloroform, bromoform, dibromochloromethane, and bromodichloromethane) showed that lungs had the highest simulated BTF among human organs and tissues, with the inhalation route showing the maximum contribution to the overall external dose. In addition, route-specific analysis indicated that chronic internal exposure doses of THMs via oral and dermal routes were negligible compared to the inhalation route. Theoretical simulation using the dissipation coefficient of THMs in the air can help optimize the design and operation of swimming pools to substantially reduce chronic internal exposure doses of THMs. The simulated results for time-dependent chloroform concentration in human blood agreed with the reported data and can be further improved once more information about the THM concentrations in breathing zones of swimmers is obtained, indicating that the proposed model can be used as a practical tool to assess intermittent chronic internal exposure of THMs in swimming pool water. In future studies, human exposure to THMs via other pathways (e.g., drinking water, showering, and bathing) can be incorporated into the proposed model to comprehensively evaluate the internal exposure doses of THMs in humans.

基于生理学的评估间歇性慢性内部化学品暴露的动力学模型:游泳池水消毒副产物的应用
通过在氯化池中游泳而长期暴露于消毒副产物(DBPs)会破坏遗传物质,甚至导致人类癌症。为了评估游泳池水中DBPs的间歇性慢性内暴露,引入了一个基于生理学的动力学(PBK)建模框架来模拟DBPs的每日平均内暴露剂量,该剂量可以与相应的每日平均外暴露剂量相关联。生物传递因子(Biotransfer factor, BTF),即人体与泳池水之间的稳态浓度比,用于测量化学物质在器官和组织中的生物蓄积势。对四种选定的三卤甲烷(即氯仿、溴仿、二溴氯甲烷和溴二氯甲烷)的模拟结果表明,肺在人体器官和组织中具有最高的模拟BTF,吸入途径对总外剂量的贡献最大。此外,特定途径的分析表明,与吸入途径相比,经口服和皮肤途径的THMs慢性内暴露剂量可以忽略不计。利用空气中THMs的耗散系数进行理论模拟,有助于优化游泳池的设计和运行,从而大幅降低THMs的慢性内暴露剂量。人体血液中随时间变化的氯仿浓度的模拟结果与报道的数据一致,一旦获得更多关于游泳者呼吸区THM浓度的信息,可以进一步改进,表明所提出的模型可以用作评估游泳池水中THM间歇性慢性内暴露的实用工具。在未来的研究中,可以将人体通过其他途径(如饮用水、淋浴和沐浴)暴露于THMs纳入所提出的模型中,以全面评估人体THMs的内暴露剂量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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
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