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2020 年末 SARS-CoV-2 高峰期两个不同人群中抗生素耐药基因的污水监测。

Wastewater surveillance for antibiotic resistance genes during the late 2020 SARS-CoV-2 peak in two different populations.

机构信息

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.

Laboratório de Análises, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.

出版信息

J Water Health. 2024 Sep;22(9):1683-1694. doi: 10.2166/wh.2024.161. Epub 2024 Aug 7.

Abstract

The United States Centers for Disease Control and Prevention reported a rise in resistant infections after the coronavirus disease 2019 (COVID-19) pandemic started. How and if the pandemic contributed to antibiotic resistance in the larger population is not well understood. Wastewater treatment plants are good locations for environmental surveillance because they can sample entire populations. This study aimed to validate methods used for COVID-19 wastewater surveillance for bacterial targets and to understand how rising COVID-19 cases from October 2020 to February 2021 in Portugal (PT) and King County, Washington contributed to antibiotic resistance genes in wastewater. Primary influent wastewater was collected from two treatment plants in King County and five treatment plants in PT, and hospital effluent was collected from three hospitals in PT. Genomic extracts were tested with the quantitative polymerase chain reaction for antibiotic resistance genes conferring resistance against antibiotics under threat. Random-effect models were fit for log-transformed gene abundances to assess temporal trends. All samples collected tested positive for multiple resistance genes. During the sampling period, statistically significantly increased in King County and PT. No statistical evidence exists of correlation between samples collected in the same Portuguese metro area.

摘要

美国疾病控制与预防中心报告称,2019 年冠状病毒病(COVID-19)大流行开始后,耐药感染有所增加。大流行如何以及是否导致更大人群中的抗生素耐药性尚不清楚。污水处理厂是环境监测的理想场所,因为它们可以对整个人群进行采样。本研究旨在验证用于 COVID-19 污水监测的细菌靶标方法,并了解 2020 年 10 月至 2021 年 2 月葡萄牙(PT)和华盛顿金县 COVID-19 病例的上升如何导致污水中的抗生素耐药基因。从金县的两个处理厂和 PT 的五个处理厂收集原水污水,并从 PT 的三家医院收集医院污水。使用定量聚合酶链反应对赋予抗生素耐药性的抗生素耐药基因进行基因组提取物检测,这些抗生素受到威胁。拟合对数转换基因丰度的随机效应模型以评估时间趋势。收集的所有样本均对多种耐药基因检测呈阳性。在采样期间,金县和 PT 的 呈统计学意义上的增加。在葡萄牙同一大都市区收集的样本之间没有相关性的统计证据。

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