Environmental and Public Health Analytical Chemistry, University Jaume I, E-12071 Castellón, Spain.
Department of Chemistry, University of Bath, Claverton Down BA27AY, United Kingdom.
Sci Total Environ. 2024 May 20;926:171996. doi: 10.1016/j.scitotenv.2024.171996. Epub 2024 Mar 26.
Understanding the development and spread of antimicrobial resistance (AMR) is important for combating this global threat for public health. Wastewater-based epidemiology (WBE) is a complementary approach to current surveillance programs that minimizes some of the existing limitations. The aim of the present study is to explore WBE for monitoring antibiotics and antibiotic resistance genes (ARGs) in wastewater samples collected during 2021/2022 from the city of Castellon (Spain). Eighteen commonly prescribed antibiotics have been selected and measured by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS), with triple quadrupole mass analysers. Moreover, qPCR for specific ARGs has been performed to obtain information of these genes in co-presence with antibiotics. All selected ARGs, along with a total of 11 antibiotics, were identified. The highest population-normalized daily loads were observed for the macrolide azithromycin, followed by the quinolones ciprofloxacin and levofloxacin. Subsequently, daily consumption estimates based on wastewater data were compared with prescription data of antibiotics. Statistical analyses were conducted to explore if there is correlation between antibiotics and ARGs. While no correlations were found between antibiotics and their corresponding ARGs, certain correlations (p < 0.05) were identified among non-corresponding ARGs. In addition, a strong positive correlation was found between the sum of all antibiotics and the intl1 gene. Moreover, population-normalized ARG loads significantly correlate with the 16S rRNA-normalized ARG loads, serving as an indicator for population size. Results provide a baseline for future work and a proof-of-concept emphasising the need for future work and long-term surveillance, and highlight the need of similar programs at a regional and global levels worldwide.
了解抗生素耐药性(AMR)的发展和传播对于应对这一公共卫生全球威胁至关重要。基于污水的流行病学(WBE)是对当前监测计划的一种补充方法,它最小化了一些现有局限性。本研究旨在探索 WBE 在监测 2021/2022 年期间从西班牙卡斯特利翁市采集的污水样本中的抗生素和抗生素耐药基因(ARGs)。选择了 18 种常用的抗生素,并通过液相色谱-串联质谱法(LC-MS/MS)进行了测量,采用三重四极杆质谱仪。此外,还进行了特定 ARGs 的 qPCR,以获得这些基因与抗生素共存的信息。所有选定的 ARGs 以及总共 11 种抗生素均已鉴定。观察到大环内酯类阿奇霉素的人群归一化日负荷最高,其次是喹诺酮类环丙沙星和左氧氟沙星。随后,根据污水数据进行了每日消耗量估算,并将其与抗生素的处方数据进行了比较。进行了统计分析以探索抗生素和 ARGs 之间是否存在相关性。虽然在抗生素与其相应的 ARGs 之间没有发现相关性,但在非对应 ARGs 之间发现了某些相关性(p<0.05)。此外,还发现所有抗生素的总和与 intl1 基因之间存在很强的正相关。此外,人群归一化的 ARG 负荷与 16S rRNA 归一化的 ARG 负荷显著相关,可作为人口规模的指标。结果为未来的工作提供了基线,并证明了概念验证强调了未来工作和长期监测的必要性,并突出了在全球范围内在区域和全球层面开展类似计划的必要性。