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绵羊细菌的抗药性:披着羊皮的狼?

Antimicrobial resistance in ovine bacteria: A sheep in wolf's clothing?

机构信息

Moredun Research Institute, Pentlands Science Park, Penicuik, United Kingdom.

Institute for Production Animal Clinical Science, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Sandnes, Norway.

出版信息

PLoS One. 2020 Sep 3;15(9):e0238708. doi: 10.1371/journal.pone.0238708. eCollection 2020.

Abstract

BACKGROUND

To monitor the prevalence of antimicrobial resistance (AMR), methods for interpretation of susceptibility phenotypes of bacteria are needed. Reference limits to declare resistance are generally based on or dominated by data from human bacterial isolates and may not reflect clinical relevance or wild type (WT) populations in livestock or other hosts.

METHODS

We compared the observed prevalence of AMR using standard and bespoke interpretations based on clinical breakpoints or epidemiological cut-offs (ECOFF) using gram positive (Staphylococcus aureus) and gram negative (Escherichia coli) bacteria from sheep as exemplars. Isolates were obtained from a cross-sectional study in three lowland sheep flocks in Scotland, and from a longitudinal study in one flock in Norway. S. aureus (n = 101) was predominantly isolated from milk or mammary glands whilst E. coli (n = 103) was mostly isolated from faecal samples. Disc diffusion testing was used to determine inhibition zone diameters, which were interpreted using either clinical breakpoints or ECOFF, which distinguish the bacterial wild type population from bacteria with acquired or mutational resistance to the compound of interest (non-wild type). Standard ECOFF values were considered as well as sheep-specific values calculated from the data using Normalized Resistance Interpretation (NRI) methodology.

RESULTS

The prevalence of AMR as measured based on clinical breakpoints was low, e.g. 4.0% for penicillin resistance in S. aureus. Estimation of AMR prevalence based on standard ECOFFs was hampered by lack of relevant reference values. In addition, standard ECOFFS, which are predominantly based on human data, bisected the normal distribution of inhibition zone diameters for several compounds in our analysis of sheep isolates. This contravenes recommendations for ECOFF setting based on NRI methodology and may lead to high apparent AMR prevalence. Using bespoke ECOFF values based on NRI, S. aureus showed non-wild type for less than 4% of isolates across 13 compounds, and ca. 13% non-wild type for amoxicillin and ampicillin, while E. coli showed non-wild type for less than 3% of isolates across 12 compounds, and ca. 13% non-wild type for tetracyclines and sulfamethoxazole-trimethoprim.

CONCLUSION

The apparent prevalence of AMR in bacteria isolated from sheep is highly dependent on interpretation criteria. The sheep industry may want to establish bespoke cut-off values for AMR monitoring to avoid the use of cut-offs developed for other host species. The latter could lead to high apparent prevalence of resistance, including to critically important antimicrobial classes such as 4th generation cephalosporins and carbapenems, suggesting an AMR problem that may not actually exist.

摘要

背景

为了监测抗菌药物耐药性(AMR)的流行情况,需要有解释细菌药敏表型的方法。宣布耐药性的参考限值通常基于或主要基于人类细菌分离株的数据,可能无法反映临床相关性或牲畜或其他宿主中的野生型(WT)群体。

方法

我们比较了使用基于临床临界点或流行病学临界点(ECOFF)的标准和定制解释观察到的 AMR 流行率,使用绵羊的革兰氏阳性(金黄色葡萄球菌)和革兰氏阴性(大肠杆菌)细菌作为范例。分离株来自苏格兰三个低地绵羊群的横断面研究,以及挪威一个羊群的纵向研究。金黄色葡萄球菌(n = 101)主要从牛奶或乳腺中分离出来,而大肠杆菌(n = 103)主要从粪便样本中分离出来。纸片扩散试验用于确定抑菌圈直径,然后使用临床临界点或 ECOFF 进行解释,ECOFF 将细菌野生型群体与对感兴趣化合物(非野生型)获得或突变耐药的细菌区分开来。考虑了标准 ECOFF 值,以及使用归一化耐药解释(NRI)方法从数据中计算出的绵羊特异性值。

结果

基于临床临界点测量的 AMR 流行率较低,例如金黄色葡萄球菌中青霉素耐药率为 4.0%。基于标准 ECOFF 估计 AMR 流行率受到缺乏相关参考值的阻碍。此外,标准 ECOFF 主要基于人类数据,在我们对绵羊分离株的分析中,有几个化合物的 ECOFF 标准将抑菌圈直径的正态分布一分为二。这违反了基于 NRI 方法设置 ECOFF 的建议,可能导致高的表观 AMR 流行率。使用基于 NRI 的定制 ECOFF,金黄色葡萄球菌在 13 种化合物中不到 4%的分离株表现为非野生型,阿莫西林和氨苄西林约 13%的分离株表现为非野生型,而大肠杆菌在 12 种化合物中不到 3%的分离株表现为非野生型,约 13%的分离株表现为四环素和磺胺甲恶唑-甲氧苄啶。

结论

从绵羊中分离的细菌的 AMR 表观流行率高度依赖于解释标准。绵羊行业可能希望建立针对 AMR 监测的定制截止值,以避免使用为其他宿主物种开发的截止值。后者可能导致对包括第四代头孢菌素和碳青霉烯类等重要抗菌药物类别的高表观耐药率,表明可能不存在 AMR 问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb48/7470381/4a327c3027bd/pone.0238708.g001.jpg

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