Alison M. Franklin, Daniel L. Weller, Lisa M. Durso, Mark Bagley, Benjamin C. Davis, Jonathan G. Frye, Christopher J. Grim, Abasiofiok M. Ibekwe, Michael A. Jahne, Scott P. Keely, Autumn L Kraft, Betty R. McConn, Richard M. Mitchell, Andrea R. Ottesen, Manan Sharma, Errol A. Strain, Daniel A. Tadesse, Heather Tate, Jim E. Wells, Clinton F. Williams, Kim L. Cook, Claudine Kabera, Patrick F. McDermott, Jay L. Garland
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The National Antimicrobial Resistance Monitoring System (NARMS) led by the United States (U.S) Food and Drug Administration along with the U.S. Centers for Disease Control and U.S. Department of Agriculture has monitored antimicrobial resistant bacteria in retail meats, humans, and food animals since the mid 1990’s. NARMS is currently exploring an integrated One Health monitoring model recognizing that human, animal, plant, and environmental systems are linked to public health. Since 2020, the U.S. Environmental Protection Agency has led an interagency NARMS environmental working group (EWG) to implement a surface water AMR monitoring program (SWAM) at watershed and national scales. The NARMS EWG divided the development of the environmental monitoring effort into five areas: (i) defining objectives and questions, (ii) designing study/sampling design, (iii) selecting AMR indicators, (iv) establishing analytical methods, and (v) developing data management/analytics/metadata plans. For each of these areas, the consensus among the scientific community and literature was reviewed and carefully considered prior to the development of this environmental monitoring program. 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引用次数: 0
摘要
抗菌素耐药性(AMR)是一个全球性的公共卫生威胁,预计到 2050 年,每年将导致全球 1000 万人死亡。AMR这一公共卫生问题促使人们制定了抗击AMR的行动计划,包括改进抗菌药物管理、开发新的抗菌药物和先进的监测手段。自 20 世纪 90 年代中期以来,由美国食品和药物管理局、美国疾病控制中心和美国农业部领导的国家抗菌素耐药性监测系统(NARMS)一直在监测零售肉类、人类和食用动物中的抗菌素耐药性细菌。NARMS 目前正在探索一种综合的 "一个健康 "监测模式,该模式认识到人类、动物、植物和环境系统与公共健康息息相关。自 2020 年以来,美国环境保护局一直领导着一个跨机构的 NARMS 环境工作组 (EWG),在流域和国家范围内实施地表水 AMR 监测计划 (SWAM)。NARMS 环境工作组将环境监测工作的发展分为五个方面:(i) 确定目标和问题,(ii) 设计研究/采样设计,(iii) 选择 AMR 指标,(iv) 建立分析方法,以及 (v) 制定数据管理/分析/元数据计划。在制定该环境监测计划之前,我们对科学界和文献中的共识进行了审查和仔细考虑。SWAM 项目产生的数据将有助于制定强有力的地表水监测计划,目的是评估与地表水中 AMR 病原体相关的公共卫生风险(如娱乐用水暴露),全面了解耐药菌株在流域内的空间和时间关系,并帮助评估人为因素和干预策略如何影响 AMR 在人类、动物和环境系统中的传播。
A one health approach for monitoring antimicrobial resistance: developing a national freshwater pilot effort
Antimicrobial resistance (AMR) is a world-wide public health threat that is projected to lead to 10 million annual deaths globally by 2050. The AMR public health issue has led to the development of action plans to combat AMR, including improved antimicrobial stewardship, development of new antimicrobials, and advanced monitoring. The National Antimicrobial Resistance Monitoring System (NARMS) led by the United States (U.S) Food and Drug Administration along with the U.S. Centers for Disease Control and U.S. Department of Agriculture has monitored antimicrobial resistant bacteria in retail meats, humans, and food animals since the mid 1990’s. NARMS is currently exploring an integrated One Health monitoring model recognizing that human, animal, plant, and environmental systems are linked to public health. Since 2020, the U.S. Environmental Protection Agency has led an interagency NARMS environmental working group (EWG) to implement a surface water AMR monitoring program (SWAM) at watershed and national scales. The NARMS EWG divided the development of the environmental monitoring effort into five areas: (i) defining objectives and questions, (ii) designing study/sampling design, (iii) selecting AMR indicators, (iv) establishing analytical methods, and (v) developing data management/analytics/metadata plans. For each of these areas, the consensus among the scientific community and literature was reviewed and carefully considered prior to the development of this environmental monitoring program. The data produced from the SWAM effort will help develop robust surface water monitoring programs with the goal of assessing public health risks associated with AMR pathogens in surface water (e.g., recreational water exposures), provide a comprehensive picture of how resistant strains are related spatially and temporally within a watershed, and help assess how anthropogenic drivers and intervention strategies impact the transmission of AMR within human, animal, and environmental systems.