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The impact of WWTP size and sampling season on the prevalence of antibiotic resistance genes in wastewater and the river system.污水处理厂规模和采样季节对废水中抗生素耐药基因流行率的影响及河网系统中的影响。
Sci Total Environ. 2020 Nov 1;741:140466. doi: 10.1016/j.scitotenv.2020.140466. Epub 2020 Jun 24.
2
Using sewage for surveillance of antimicrobial resistance.利用污水监测抗菌药物耐药性。
Science. 2020 Feb 7;367(6478):630-632. doi: 10.1126/science.aba3432.
3
Winter is coming - Impact of temperature on the variation of beta-lactamase and mcr genes in a wastewater treatment plant.冬天即将来临——温度对污水处理厂中β-内酰胺酶和 mcr 基因变异的影响。
Sci Total Environ. 2020 Apr 10;712:136499. doi: 10.1016/j.scitotenv.2020.136499. Epub 2020 Jan 7.
4
Mash Screen: high-throughput sequence containment estimation for genome discovery.Mash 屏幕:用于基因组发现的高通量序列包含度估计。
Genome Biol. 2019 Nov 5;20(1):232. doi: 10.1186/s13059-019-1841-x.
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Seasonality of antimicrobial resistance rates in respiratory bacteria: A systematic review and meta-analysis.呼吸道细菌中抗菌药物耐药率的季节性:系统评价和荟萃分析。
PLoS One. 2019 Aug 15;14(8):e0221133. doi: 10.1371/journal.pone.0221133. eCollection 2019.
6
An overview of the antimicrobial resistance mechanisms of bacteria.细菌抗菌耐药机制概述。
AIMS Microbiol. 2018 Jun 26;4(3):482-501. doi: 10.3934/microbiol.2018.3.482. eCollection 2018.
7
Benzalkonium Chlorides: Uses, Regulatory Status, and Microbial Resistance.苯扎氯铵:用途、监管状况和微生物耐药性。
Appl Environ Microbiol. 2019 Jun 17;85(13). doi: 10.1128/AEM.00377-19. Print 2019 Jul 1.
8
Antibiotic resistance in European wastewater treatment plants mirrors the pattern of clinical antibiotic resistance prevalence.欧洲废水处理厂中的抗生素耐药性反映了临床抗生素耐药性流行的模式。
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A reduction in triclosan and triclocarban in water resource recovery facilities' influent, effluent, and biosolids following the U.S. Food and Drug Administration's 2013 proposed rulemaking on antibacterial products.美国食品和药物管理局 2013 年针对抗菌产品提出的拟议法规后,水资源回收设施的进水、出水和生物固体中三氯生和三氯卡班的含量减少。
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Whole genome sequencing reveals resemblance between ESBL-producing and carbapenem resistant Klebsiella pneumoniae isolates from Austrian rivers and clinical isolates from hospitals.全基因组测序揭示奥地利河流中产 ESBL 和耐碳青霉烯类肺炎克雷伯菌与医院临床分离株的相似性。
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时间、分类学和选择性抗菌剂对废水中细菌的抗生素和多药耐药性的贡献。

Contribution of Time, Taxonomy, and Selective Antimicrobials to Antibiotic and Multidrug Resistance in Wastewater Bacteria.

机构信息

Department of Environmental Health and Engineering, Whiting School of Engineering, Johns Hopkins University, 3400 North Charles Street, 313 Ames Hall, Baltimore, Maryland 21218, United States.

The Johns Hopkins Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland 20723, United States.

出版信息

Environ Sci Technol. 2020 Dec 15;54(24):15946-15957. doi: 10.1021/acs.est.0c03803. Epub 2020 Dec 1.

DOI:10.1021/acs.est.0c03803
PMID:33258596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8463082/
Abstract

The use of nontherapeutic broad-spectrum antimicrobial agents triclosan (TCS) and benzalkonium chloride (BC) can contribute to bacterial resistance to clinically relevant antibiotics. Antimicrobial-resistant bacteria within wastewater may reflect the resistance burden within the human microbiome, as antibiotics and pathogens in wastewater can track with clinically relevant parameters during perturbations to the community. In this study, we monitored culturable and resistant wastewater bacteria and cross-resistance to clinically relevant antibiotics to gauge the impact of each antimicrobial and identify factors influencing cross-resistance profiles. Bacteria resistant to TCS and BC were isolated from wastewater influent over 21 months, and cross-resistance, taxonomy, and monthly changes were characterized under both antimicrobial selection regimes. Cross-resistance profiles from each antimicrobial differed within and between taxa. BC-isolated bacteria had a significantly higher prevalence of resistance to "last-resort antibiotic" colistin, while isolates resistant to TCS exhibited higher rates of multidrug resistance. Prevalence of culturable TCS-resistant bacteria decreased over time following Food and Drug Administration (FDA) TCS bans. Cross-resistance patterns varied according to sampling date, including among the most clinically important antibiotics. Correlations between strain-specific resistance profiles were largely influenced by taxonomy, with some variations associated with sampling date. The results reveal that time, taxonomy, and selection by TCS and BC impact features of cross-resistance patterns among diverse wastewater microorganisms, which could reflect the variety of factors influencing resistance patterns relevant to a community microbiome.

摘要

非治疗性广谱抗菌剂三氯生(TCS)和苯扎氯铵(BC)的使用可能导致细菌对临床相关抗生素产生耐药性。废水中的抗菌药物耐药细菌可能反映了人类微生物组中的耐药负担,因为废水中的抗生素和病原体可以在社区受到干扰时与临床相关参数相吻合。在这项研究中,我们监测了可培养的和耐药的废水细菌以及对临床相关抗生素的交叉耐药性,以评估每种抗菌药物的影响并确定影响交叉耐药谱的因素。在 21 个月的时间里,从废水进水口分离出了对 TCS 和 BC 具有耐药性的细菌,并在两种抗菌药物选择条件下对其交叉耐药性、分类学和每月变化进行了表征。每种抗菌药物的交叉耐药谱在分类学内和分类学之间都有所不同。BC 分离出的细菌对“最后一线抗生素”多粘菌素的耐药率明显更高,而对 TCS 耐药的分离株则表现出更高的多药耐药率。在美国食品和药物管理局(FDA)禁止 TCS 后,可培养的 TCS 耐药细菌的流行率随时间的推移而降低。交叉耐药模式根据采样日期而有所不同,包括最具临床重要性的抗生素。菌株特异性耐药谱之间的相关性主要受分类学的影响,其中一些变化与采样日期有关。研究结果表明,时间、分类学以及 TCS 和 BC 的选择会影响不同废水微生物之间交叉耐药模式的特征,这可能反映了影响与社区微生物组相关的耐药模式的各种因素。