• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

迈向将抗生素抗性基因流动性纳入环境监测和风险评估。

Towards the integration of antibiotic resistance gene mobility into environmental surveillance and risk assessment.

作者信息

Klümper Uli, Fang Peiju, Li Bing, Xia Yu, Frigon Dominic, Hamilton Kerry A, Quon Hunter, Berendonk Thomas U, de la Cruz Barron Magali

机构信息

Technische Universität Dresden, Institute of Hydrobiology, Dresden, Germany.

Tsinghua University, Tsinghua Shenzhen International Graduate School, Institute of Environment and Ecology, Shenzhen, China.

出版信息

NPJ Antimicrob Resist. 2025 Sep 16;3(1):81. doi: 10.1038/s44259-025-00154-8.

DOI:10.1038/s44259-025-00154-8
PMID:40957922
Abstract

Antibiotic resistance gene (ARG) mobility plays a crucial role in the spread of antimicrobial resistance across One Health settings. Current environmental surveillance often overlooks the significance of ARG mobility, limiting risk assessment accuracy. This perspective highlights that with recent methodological advances in detecting ARG mobility, relevant databases, and improved quantitative microbial risk assessment frameworks, the time to integrate ARG mobility into environmental antimicrobial resistance (AMR) surveillance and risk assessment is now.

摘要

抗生素抗性基因(ARG)的移动性在“同一健康”背景下抗菌药物耐药性的传播中起着关键作用。当前的环境监测常常忽视ARG移动性的重要性,从而限制了风险评估的准确性。这一观点强调,随着近期在检测ARG移动性方面的方法学进展、相关数据库的建立以及定量微生物风险评估框架的改进,现在是将ARG移动性纳入环境抗菌药物耐药性(AMR)监测和风险评估的时候了。

相似文献

1
Towards the integration of antibiotic resistance gene mobility into environmental surveillance and risk assessment.迈向将抗生素抗性基因流动性纳入环境监测和风险评估。
NPJ Antimicrob Resist. 2025 Sep 16;3(1):81. doi: 10.1038/s44259-025-00154-8.
2
Nationwide surveillance of carbapenem-resistant Gram-negative pathogens in the Lebanese environment.黎巴嫩环境中耐碳青霉烯革兰氏阴性病原体的全国性监测。
Appl Environ Microbiol. 2025 Jul 23;91(7):e0193224. doi: 10.1128/aem.01932-24. Epub 2025 Jun 10.
3
Progress on the Global Research Agenda for Antimicrobial Resistance in Human Health in Pakistan: Findings and Implications.巴基斯坦人类健康领域抗微生物药物耐药性全球研究议程的进展:研究结果与启示
Infect Drug Resist. 2025 Jul 29;18:3795-3828. doi: 10.2147/IDR.S531874. eCollection 2025.
4
Prophages are infrequently associated with antibiotic resistance in clinical isolates.原噬菌体在临床分离株中很少与抗生素耐药性相关。
mSphere. 2025 Mar 25;10(3):e0090424. doi: 10.1128/msphere.00904-24. Epub 2025 Feb 13.
5
Stakeholder views on the implementation of the UK's Antimicrobial Resistance (AMR) National Action Plan (2019-2024) in relation to AMR in the environment.利益相关者对英国《抗菌药物耐药性(AMR)国家行动计划(2019 - 2024年)》在环境中抗菌药物耐药性方面实施情况的看法。
Glob Health Action. 2025 Dec;18(1):2543101. doi: 10.1080/16549716.2025.2543101. Epub 2025 Aug 28.
6
Insight into on-site sewage facilities as an overlooked contributor to antimicrobial resistance: Environmental impacts and existing mitigation strategies.洞察现场污水处理设施作为抗生素耐药性被忽视的一个因素:环境影响及现有缓解策略。
J Environ Manage. 2025 Sep;391:126528. doi: 10.1016/j.jenvman.2025.126528. Epub 2025 Jul 14.
7
Clinical Implications and Patient Outcomes Associated with otic Resistance in Saudi Arabian Intensive Care Unit Facilities: A Perspective.沙特阿拉伯重症监护病房设施中耳部阻力的临床意义及患者预后:一种观点
Curr Rev Clin Exp Pharmacol. 2025 Sep 3. doi: 10.2174/0127724328391436250902082555.
8
The surveillance of antimicrobial resistance in wastewater from a one health perspective: A global scoping and temporal review (2014-2024).从“同一个健康”视角审视废水中的抗菌药物耐药性:一项全球范围的时效性综述(2014 - 2024年)
One Health. 2025 Jul 14;21:101139. doi: 10.1016/j.onehlt.2025.101139. eCollection 2025 Dec.
9
Prophages are Infrequently Associated With Antibiotic Resistance in Clinical Isolates.原噬菌体在临床分离株中与抗生素耐药性的关联并不常见。
bioRxiv. 2025 Jan 18:2024.06.02.595912. doi: 10.1101/2024.06.02.595912.
10
Metagenomic analysis after selective culture enrichment of hospital and community wastewater enhances antimicrobial resistance gene detection.医院和社区废水经选择性培养富集后的宏基因组分析可增强对抗生素耐药基因的检测。
mBio. 2025 Sep 10;16(9):e0167225. doi: 10.1128/mbio.01672-25. Epub 2025 Jul 31.

本文引用的文献

1
Ecology-based approach to predict no-effect antibiotic concentrations for minimizing environmental selection of resistance.基于生态学的方法预测无效应抗生素浓度以最小化耐药性的环境选择。
ISME J. 2025 Jan 2;19(1). doi: 10.1093/ismejo/wraf172.
2
Biases from Oxford Nanopore library preparation kits and their effects on microbiome and genome analysis.牛津纳米孔文库制备试剂盒的偏差及其对微生物组和基因组分析的影响。
BMC Genomics. 2025 May 19;26(1):504. doi: 10.1186/s12864-025-11649-z.
3
Quantitative microbial risk assessment of in a drinking water distribution system: A case study.
饮用水分配系统中微生物的定量风险评估:案例研究。
New Microbes New Infect. 2025 Apr 3;65:101584. doi: 10.1016/j.nmni.2025.101584. eCollection 2025 Jun.
4
Bracken: estimating species abundance in metagenomics data.蕨类植物:宏基因组学数据中物种丰度的估计
PeerJ Comput Sci. 2017;3. doi: 10.7717/peerj-cs.104. Epub 2017 Jan 2.
5
Detection of rare plasmid hosts using a targeted Hi-C approach.使用靶向Hi-C方法检测罕见质粒宿主。
ISME Commun. 2025 Mar 9;5(1):ycae161. doi: 10.1093/ismeco/ycae161. eCollection 2025 Jan.
6
Unraveling the origins of mobile antibiotic resistance genes using random forest classification of large-scale genomic data.利用大规模基因组数据的随机森林分类法揭示移动抗生素耐药基因的起源
Environ Int. 2025 Apr;198:109374. doi: 10.1016/j.envint.2025.109374. Epub 2025 Mar 15.
7
Resistance genes are not like chemical pollutants and surveillance of them should reflect that.抗性基因不同于化学污染物,对它们的监测应该体现这一点。
Future Microbiol. 2025 Apr;20(5):379-381. doi: 10.1080/17460913.2025.2476880. Epub 2025 Mar 10.
8
Population Ecology-Quantitative Microbial Risk Assessment (QMRA) Model for Antibiotic-Resistant and Susceptible in Recreational Water.娱乐用水中抗生素抗性和敏感菌的种群生态学 - 定量微生物风险评估(QMRA)模型
Environ Sci Technol. 2025 Mar 11;59(9):4266-4281. doi: 10.1021/acs.est.4c07248. Epub 2025 Feb 26.
9
MOSTPLAS: a self-correction multi-label learning model for plasmid host range prediction.MOSTPLAS:一种用于质粒宿主范围预测的自校正多标签学习模型。
Bioinformatics. 2025 Mar 4;41(3). doi: 10.1093/bioinformatics/btaf075.
10
Predicting the bacterial host range of plasmid genomes using the language model-based one-class support vector machine algorithm.使用基于语言模型的单类支持向量机算法预测质粒基因组的细菌宿主范围。
Microb Genom. 2025 Feb;11(2). doi: 10.1099/mgen.0.001355.