Suppr超能文献

弗吉尼亚州中部环境中的抗菌药物耐药性研究:一个案例分析

Examining Antimicrobial Resistance in : A Case Study in Central Virginia's Environment.

作者信息

Kim Chyer, Riley Allissa, Sriharan Shobha, Nartea Theresa, Ndegwa Eunice, Dhakal Ramesh, Zheng Guolu, Baffaut Claire

机构信息

Agricultural Research Station, Virginia State University, 1 Hayden Drive, Petersburg, VA 23806, USA.

Department of Biology, Virginia State University, 1 Hayden Drive, Petersburg, VA 23806, USA.

出版信息

Antibiotics (Basel). 2024 Feb 28;13(3):223. doi: 10.3390/antibiotics13030223.

Abstract

While environmental factors may contribute to antimicrobial resistance (AMR) in bacteria, many aspects of environmental antibiotic pollution and resistance remain unknown. Furthermore, the level of AMR in is considered a reliable indicator of the selection pressure exerted by antimicrobial use in the environment. This study aimed to assess AMR variance in isolated from diverse environmental samples, such as animal feces and water from wastewater treatment plants (WWTPs) and drainage areas of different land use systems in Central Virginia. In total, 450 isolates obtained between August 2020 and February 2021 were subjected to susceptibility testing against 12 antimicrobial agents approved for clinical use by the U.S. Food and Drug Administration. Approximately 87.8% of the tested isolates were resistant to at least one antimicrobial agent, with 3.1% showing multi-drug resistance. Streptomycin resistance was the most common (73.1%), while susceptibility to chloramphenicol was the highest (97.6%). One isolate obtained from WWTPs exhibited resistance to seven antimicrobials. AMR prevalence was the highest in WWTP isolates, followed by isolates from drainage areas, wild avians, and livestock. Among livestock, horses had the highest AMR prevalence, while cattle had the lowest. No significant AMR difference was found across land use systems. This study identifies potential AMR hotspots, emphasizing the environmental risk for antimicrobial resistant . The findings will aid policymakers and researchers, highlighting knowledge gaps in AMR-environment links. This nationally relevant research offers a scalable AMR model for understanding ecology. Further large-scale research is crucial to confirm the environmental impacts on AMR prevalence in bacteria.

摘要

虽然环境因素可能导致细菌产生抗微生物药物耐药性(AMR),但环境抗生素污染和耐药性的许多方面仍不为人知。此外,环境中AMR的水平被认为是抗菌药物使用所施加的选择压力的可靠指标。本研究旨在评估从不同环境样本中分离出的细菌的AMR差异,这些样本包括动物粪便、弗吉尼亚州中部不同土地利用系统的污水处理厂(WWTPs)和排水区域的水。总共,对2020年8月至2021年2月期间获得的450株细菌分离株进行了针对美国食品药品监督管理局批准用于临床的12种抗菌药物的药敏试验。大约87.8%的受试分离株对至少一种抗菌药物耐药,其中3.1%表现出多重耐药性。链霉素耐药最为常见(73.1%),而对氯霉素的敏感性最高(97.6%)。从污水处理厂获得的一株分离株对七种抗菌药物耐药。WWTP分离株中的AMR流行率最高,其次是来自排水区域、野生鸟类和家畜的分离株。在家畜中,马的AMR流行率最高,而牛的最低。不同土地利用系统之间未发现显著的AMR差异。本研究确定了潜在的AMR热点,强调了抗菌药物耐药细菌的环境风险。这些发现将有助于政策制定者和研究人员,突出AMR与环境联系方面的知识空白。这项具有全国相关性的研究提供了一个可扩展的AMR模型,用于理解细菌生态学。进一步的大规模研究对于确认环境对细菌AMR流行率的影响至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/10967435/39ef26f659e8/antibiotics-13-00223-g001a.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验