Foxman Betsy, Salzman Elizabeth, Gesierich Chelsie, Gardner Sarah, Ammerman Michelle, Eisenberg Marisa, Wigginton Krista
Department of Epidemiology, Center for Molecular and Clinical Epidemiology of Infectious Diseases, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Department of Civil and Environmental Engineering, College of Engineering, University of Michigan, Ann Arbor, MI, United States.
Am J Epidemiol. 2025 May 7;194(5):1192-1199. doi: 10.1093/aje/kwae419.
Antibiotic resistance is an urgent public health threat. Actions to reduce this threat include requiring prescriptions for antibiotic use, antibiotic stewardship programs, educational programs targeting patients and healthcare providers, and limiting antibiotic use in agriculture, aquaculture, and animal husbandry. Wastewater surveillance might complement clinical surveillance by tracking time/space variation essential for detecting outbreaks and evaluating efficacy of evidence-based interventions, identifying high-risk populations for targeted monitoring, providing early warning of the emergence and spread of antibiotic-resistant bacteria (ARBs), and identifying novel antibiotic-resistant threats. Wastewater surveillance was an effective early warning system for SARS-CoV-2 spread and detection of the emergence of new viral strains. In this data-driven commentary, we explore whether monitoring wastewater for antibiotic-resistant genes (ARGs) and/or bacteria resistant to antibiotics might provide useful information for public health action. Using carbapenem resistance as an example, we highlight technical challenges associated with using wastewater to quantify temporal/spatial trends in ARBs and ARGs and compare with clinical information. While ARGs and ARBs are detectable in wastewater enabling early detection of novel ARGs, quantitation of ARBs and ARGs with current methods is too variable to reliably track space/time variation.
抗生素耐药性是对公众健康的一项紧迫威胁。减少这一威胁的行动包括要求开具抗生素使用处方、实施抗生素管理计划、针对患者和医疗服务提供者开展教育项目,以及限制抗生素在农业、水产养殖和畜牧业中的使用。废水监测可通过追踪检测疫情爆发和评估循证干预措施效果所需的时间/空间变化、识别需要进行针对性监测的高危人群、提供抗生素耐药菌(ARB)出现和传播的早期预警以及识别新出现的抗生素耐药威胁,来补充临床监测。废水监测是SARS-CoV-2传播以及检测新病毒株出现的有效早期预警系统。在这篇数据驱动的评论中,我们探讨监测废水中的抗生素耐药基因(ARG)和/或耐抗生素细菌是否能为公共卫生行动提供有用信息。以碳青霉烯类耐药性为例,我们强调了利用废水量化ARB和ARG的时空趋势所面临的技术挑战,并与临床信息进行比较。虽然废水中可检测到ARG和ARB,从而能够早期发现新的ARG,但用当前方法对ARB和ARG进行定量时变化太大,无法可靠地追踪时空变化。