抗生素耐药性
抗生素
构造盆地
风险分析(工程)
抗性(生态学)
管理(神学)
风险评估
环境科学
抗生素管理
环境卫生
生态学
生物
医学
微生物学
计算机科学
政治
法学
古生物学
计算机安全
政治学
作者
Zhiyuan Wang,Qiuwen Chen,Jianyun Zhang,Yina Zou,Yu Huang,Hanlu Yan,Zhaoan Xu,Dandan Yan,Tao Li,Chao Liu
出处
期刊:Water Research
[Elsevier BV]
日期:2022-11-13
卷期号:228 (Pt A): 119358-119358
被引量:37
标识
DOI:10.1016/j.watres.2022.119358
摘要
Antibiotic stewardship is hindered by a lack of consideration for complicated environmental fate of antibiotics and their role in resistance development, while the current methodology of eco-toxicological risk assessment has not been fully protective against their potential to select for antibiotic resistance. To address this problem, we established a novel methodologic framework to perform comprehensive environmental risk assessment of antibiotics in terms of resistance development, which was based on selection effect, phenotype resistance level, heteroresistance frequency, as well as prevalence and stability of antibiotic resistance genes. We tracked the contribution of antibiotic load reduction to the mitigation of environmental risk of resistance development by fate and transport modeling. The method was instantiated in a lake-river network-basin complex system, taking the Taihu Basin as a case study. Overall, antibiotic load posed no eco-toxicological risk but an average medium-level environmental risk for resistance development in Taihu Lake. The effect of antibiotic load on resistance risk was both seasonal-dependent and category-dependent, while quinolones posed the greatest environmental risk for resistance development. Mass-flow analysis indicated that temporal-spatial variation in hydrological regime and antibiotic fate together exerted a significant effect on antibiotic load in the system. By apportioning antibiotic load to riverine influx, we identified the hotspots for load reduction and predicted the beneficial response of resistance risk under load-reduction scenarios. Our study proposed a risk-oriented strategy of basin-scaled antibiotic load reduction for environmental risk control of resistance development.
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