Duarte Daniel J, Zillien Caterina, Kox Martine, Oldenkamp Rik, van der Zaan Bas, Roex Erwin, Ragas Ad M J
Radboud University Nijmegen, Radboud Institute for Biological and Environmental Sciences, Department of Environmental Science, 6500 GL Nijmegen, Netherlands.
Radboud University Nijmegen, Radboud Institute for Biological and Environmental Sciences, Department of Environmental Science, 6500 GL Nijmegen, Netherlands.
Sci Total Environ. 2023 Dec 20;905:167439. doi: 10.1016/j.scitotenv.2023.167439. Epub 2023 Sep 27.
A one year study was conducted in the city of Nijmegen, The Netherlands, to characterize various urban sources of antibiotics and antibiotic resistant genes (ARGs) in wastewater within a single sewer catchment. Prevalence of ermB, tet(W), sul1, sul2, intl1, and 16S rRNA gene was determined at 10 locations within the city. Sampling locations included a nursing home, a student residence, a hospital and an industrial area, among others. Wastewater concentrations of 23 antibiotics were measured using passive sampling. Additionally, excreted loads of 22 antibiotics were estimated based on ambulatory prescription and clinical usage data. Genes sul1 and intl1 were most abundant across most locations. Ciprofloxacin and amoxicillin together contributed over 92 % of the total estimated antibiotic selective pressure at all sampling points. The present study highlights the prominent role that hospitals can have in the prevalence and proliferation of ARGs in urban wastewater. Furthermore, results suggest that even short-term changes in the therapeutic regimen prescribed in hospitals may translate into shifting ARG abundance patterns in hospital wastewater. The methods applied present an opportunity to identify emission hotspots and prioritize intervention options to limit ARG spread from urban wastewater to the environment.
在荷兰奈梅亨市开展了一项为期一年的研究，以确定单一下水道集水区内城市污水中抗生素及抗生素抗性基因（ARG）的各种来源特征。在该市的10个地点测定了ermB、tet(W)、sul1、sul2、intl1和16S rRNA基因的流行情况。采样地点包括一家疗养院、一处学生宿舍、一家医院和一个工业区等。使用被动采样法测量了23种抗生素的污水浓度。此外，根据门诊处方和临床使用数据估算了22种抗生素的排泄量。在大多数地点，sul1和intl1基因最为丰富。在所有采样点，环丙沙星和阿莫西林共同构成了估计的总抗生素选择压力的92%以上。本研究突出了医院在城市污水中ARG的流行和扩散方面可能发挥的重要作用。此外，结果表明，医院规定的治疗方案即使发生短期变化，也可能导致医院污水中ARG丰度模式的改变。所采用的方法为识别排放热点和确定干预选项的优先级提供了机会，以限制ARG从城市污水向环境的传播。
