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新冠疫情阴影下的抗菌药物和抗微生物药物耐药基因:基于污水的流行病学视角。

Antimicrobials and antimicrobial resistance genes in the shadow of COVID-19 pandemic: A wastewater-based epidemiology perspective.

机构信息

Department of Chemistry, University of Bath, Bath BA2 7AY, UK.

Department of Chemistry, University of Bath, Bath BA2 7AY, UK; Institute for Sustainability, University of Bath, Bath BA2 7AY, UK.

出版信息

Water Res. 2024 Jun 15;257:121665. doi: 10.1016/j.watres.2024.121665. Epub 2024 Apr 22.

DOI:10.1016/j.watres.2024.121665
PMID:38692256
Abstract

Higher usage of antimicrobial agents in both healthcare facilities and the communities has resulted in an increased spread of resistant bacteria. However, the improved infection prevention and control practices may also contribute to decreasing antimicrobial resistance (AMR). In the present study, wastewater-based epidemiology (WBE) approach was applied to explore the link between COVID-19 and the community usage of antimicrobials, as well as the prevalence of resistance genes. Longitudinal study has been conducted to monitor the levels of 50 antimicrobial agents (AAs), 24 metabolites, 5 antibiotic resistance genes (ARGs) and class 1 integrons (intI 1) in wastewater influents in 4 towns/cities over two years (April 2020 - March 2022) in the South-West of England (a total of 1,180 samples collected with 87,320 individual AA measurements and 8,148 ARG measurements). Results suggested higher loads of AAs and ARGs in 2021-22 than 2020-21, with beta-lactams, quinolones, macrolides and most ARGs showing statistical differences. In particular, the intI 1 gene (a proxy of environmental ARG pollution) showed a significant increase after the ease of the third national lockdown in England. Positive correlations for all quantifiable parent AAs and metabolites were observed, and consumption vs direct disposal of unused AAs has been identified via WBE. This work can help establish baselines for AMR status in communities, providing community-wide surveillance and evidence for informing public health interventions. Overall, studies focused on AMR from the start of the pandemic to the present, especially in the context of environmental settings, are of great importance to further understand the long-term impact of the pandemic on AMR.

摘要

在医疗保健机构和社区中,抗菌药物的使用量增加导致耐药菌的传播增加。然而,感染预防和控制措施的改善也可能有助于减少抗菌药物耐药性(AMR)。在本研究中,应用基于污水的流行病学(WBE)方法来探索 COVID-19 与社区抗菌药物使用以及耐药基因流行之间的联系。在英格兰西南部的 4 个城镇/城市进行了一项纵向研究,以监测污水进水在两年(2020 年 4 月至 2022 年 3 月)中 50 种抗菌药物(AAs)、24 种代谢物、5 种抗生素耐药基因(ARGs)和类 1 整合子(intI 1)的水平(共收集了 1180 个样本,进行了 87320 次 AA 测量和 8148 次 ARG 测量)。结果表明,2021-22 年的 AAs 和 ARGs 负荷高于 2020-21 年,β-内酰胺类、喹诺酮类、大环内酯类和大多数 ARGs 存在统计学差异。特别是,在英格兰第三次全国封锁放松后,intI 1 基因(环境 ARG 污染的替代物)显著增加。所有可量化的母体 AAs 和代谢物之间存在正相关,并且通过 WBE 确定了未使用的 AAs 的消耗与直接处置之间的关系。这项工作有助于为社区的 AMR 状况建立基准,提供社区范围的监测和证据,为公共卫生干预提供信息。总的来说,从大流行开始到现在,特别是在环境背景下,对 AMR 进行的研究对于进一步了解大流行对 AMR 的长期影响非常重要。

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