Monitoring Antibiotic Resistance in Wastewater
Findings from Three Treatment Plants in Sicily, Italy
Bibliographic Data
| ID | 15508781 |
|---|---|
| Authors | Roberta Magnano San Lio (0000-0003-2023-2135, University of Catania), Andrea Maugeri (0000-0003-2655-8574, University of Catania), Martina Barchitta (0000-0002-0905-5003, University of Catania), Giuliana Favara (0000-0003-0812-8386, University of Catania), Maria Clara La Rosa (University of Catania), Claudia La Mastra (University of Catania), Antonella Agodi (0000-0002-4405-8162, University of Catania, corresponding author) |
| Year | 2025 |
| Volume | 22 |
| Issue | 3 |
| Pages | 351-351 |
| Publication date | 2025-02-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph22030351 |
| PMID | 40238414 |
| OpenAlex | W4407993319 |
| Language | EN |
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 bla SHV, erm(A) , erm(B) , bla OXA, bla NDM, bla VIM, bla TEM, and bla CTX-M. The preliminary findings revealed that bla ERM-B, bla OXA, bla TEM, and bla CTX-M were present in all samples, with erm(B) (median value: 8.51; range: 1.67-30.93), bla SHV (0.78; 0.00-6.36), and bla 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
Antibiotic resistance · Antibiotics · Biology · Environmental health · Geography · Resistance (ecology · Sewage treatment · Wastewater · Biosensors and Analytical Detection · Environmental Science · Medicine · Pharmaceutical and Antibiotic Environmental Impacts · Water Treatment and Disinfection · Ecology · Environmental Engineering · Microbiology
| Highly cited | No |
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