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短期和长期储存条件下抗菌药物和耐药基因稳定性的评估:考虑生物分析工作流程中的不确定性

Assessment of the stability of antimicrobials and resistance genes during short- and long-term storage condition: accounting for uncertainties in bioanalytical workflows.

作者信息

Xu Like, Kasprzyk-Hordern Barbara

机构信息

Department of Chemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK.

Institute for Sustainability, University of Bath, Claverton Down, Bath, BA2 7AY, UK.

出版信息

Anal Bioanal Chem. 2023 Oct;415(24):6027-6038. doi: 10.1007/s00216-023-04874-6. Epub 2023 Aug 1.

Abstract

Unravelling complexities in antimicrobial agent-microbe interactions in the context of antimicrobial resistance (AMR) requires robust analytical workflows accounting for all uncertainties. Temporal storage of wastewater samples under refrigerated or frozen conditions prior to chemical and biological analysis is widely used to facilitate laboratory routine but may affect stability of analytes over time. Yet, little knowledge exists regarding stability of biological and chemical determinants in environmental samples, which hampers validity of research outputs. This study examines, for the first time, the stability of 32 antimicrobials (AAs) including commonly used classes of antibiotics and their representative metabolites and variation of 5 antibiotic resistance genes (ARGs) (ermB, sul1, tetW, blaCTX-M, qnrS), as well as intI1 and 16S rRNA genes in a reference wastewater sample stored under freezing condition for up to 1 year. Ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS) and quantitative PCR (qPCR) techniques were adopted to measure concentration of AAs and ARGs, respectively. Results suggested that parent compounds are less affected by freezing storage compared to the metabolites. β-Lactams, clindamycin, and N-desmethyl clindamycin are the most-affected compounds which were poorly recovered (34-67%) from the starting concentration. By contrast, sulfonamides, macrolides, quinolones, and azoles are generally stable under freezing condition. No consistent differences were observed in gene copies between fresh and frozen samples, and ermB and tetW showed the highest variabilities at 30% under freezing condition. Overall, this study adds to the current knowledge on environmental AMR monitoring and emphasises the need for standardised protocols for AMR monitoring in the wastewater samples.

摘要

在抗菌药物耐药性(AMR)背景下解析抗菌剂与微生物相互作用的复杂性,需要强大的分析工作流程来考虑所有不确定性因素。在进行化学和生物学分析之前,将废水样本在冷藏或冷冻条件下进行临时储存,这在实验室日常工作中被广泛使用,以方便操作,但随着时间推移可能会影响分析物的稳定性。然而,关于环境样本中生物和化学决定因素的稳定性,人们了解甚少,这妨碍了研究结果的有效性。本研究首次考察了32种抗菌剂(AAs)的稳定性,这些抗菌剂包括常用的抗生素类别及其代表性代谢物,以及5种抗生素抗性基因(ARGs)(ermB、sul1、tetW、blaCTX - M、qnrS)的变化情况,同时还研究了整合子intI1和16S rRNA基因在一份参考废水样本中的稳定性,该样本在冷冻条件下储存长达1年。分别采用超高效液相色谱 - 串联质谱(UPLC - MS/MS)和定量聚合酶链反应(qPCR)技术来测定AAs和ARGs的浓度。结果表明,与代谢物相比,母体化合物受冷冻储存的影响较小。β - 内酰胺类、克林霉素和N - 去甲基克林霉素是受影响最大的化合物,从起始浓度的回收率很低(34 - 67%)。相比之下,磺胺类、大环内酯类、喹诺酮类和唑类在冷冻条件下通常是稳定的。新鲜样本和冷冻样本之间的基因拷贝数未观察到一致的差异,并且ermB和tetW在冷冻条件下的变异性最高,为30%。总体而言,本研究增加了当前关于环境AMR监测的知识,并强调了废水样本中AMR监测需要标准化方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7107/10556160/8e41ad611d94/216_2023_4874_Fig1_HTML.jpg

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