Magnano San Lio Roberta, Maugeri Andrea, Barchitta Martina, Favara Giuliana, La Rosa Maria Clara, La Mastra Claudia, Agodi Antonella
Department of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123 Catania, Italy.
Int J Environ Res Public Health. 2025 Feb 27;22(3):351. doi: 10.3390/ijerph22030351.
Antimicrobial resistance (AMR) poses a global public health threat. Wastewater analysis provides valuable insights into antimicrobial resistance genes (ARGs), identifying sources and trends and evaluating AMR control measures. Between February 2022 and March 2023, pre-treatment urban wastewater samples were collected weekly from treatment plants in Pantano D'Arci, Siracusa, and Giarre (Sicily, Italy). Monthly composite DNA extracts were prepared by combining weekly subsamples from each site, yielding 42 composite samples-14 from each treatment plant. Real-time PCR analysis targeted specific ARGs, including SHV, , , OXA, NDM, VIM, TEM, and CTX-M. The preliminary findings revealed that ERM-B, OXA, TEM, and CTX-M were present in all samples, with (median value: 8.51; range: 1.67-30.93), SHV (0.78; 0.00-6.36), and TEM (0.72; 0.34-4.30) showing the highest relative abundance. These results underscore the importance of integrating ARG data with broader research to understand the persistence and proliferation mechanisms of ARGs in wastewater environments. Future studies should employ metagenomic analyses to profile resistomes in urban, hospital, agricultural, and farm wastewater. Comparing these profiles will help identify contamination pathways and inform the development of targeted ARG surveillance programs. Monitoring shifts in ARG abundance could signal cross-sectoral contamination, enabling more effective AMR control strategies.
抗菌药物耐药性(AMR)对全球公共卫生构成威胁。废水分析为了解抗菌药物耐药基因(ARG)提供了有价值的见解,可识别其来源和趋势,并评估AMR控制措施。在2022年2月至2023年3月期间,每周从意大利西西里岛锡拉库萨的潘塔诺·达尔奇和贾尔雷的污水处理厂采集预处理后的城市废水样本。通过合并每个站点的每周子样本制备月度复合DNA提取物,共得到42个复合样本,每个污水处理厂14个。实时PCR分析针对特定的ARG,包括SHV、 、 、OXA、NDM、VIM、TEM和CTX - M。初步研究结果显示,ERM - B、OXA、TEM和CTX - M在所有样本中均有存在,其中 (中位数:8.51;范围:1.67 - 30.93)、SHV(0.78;0.00 - 6.36)和TEM(0.72;0.34 - 4.30)的相对丰度最高。这些结果强调了将ARG数据与更广泛的研究相结合以了解ARG在废水环境中的持久性和增殖机制的重要性。未来的研究应采用宏基因组分析来描绘城市、医院、农业和农场废水中的耐药基因组。比较这些图谱将有助于识别污染途径,并为制定有针对性的ARG监测计划提供信息。监测ARG丰度的变化可能预示着跨部门污染,从而制定更有效的AMR控制策略。