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Wastewater sampling could be a low-cost strategy for assessing patterns of antibacterial resistance across urban populations. We aimed to quantify fluoroquinolone-resistant (FQ-R) Enterobacterales, third-generation cephalosporin-resistant (3GC-R) Enterobacterales, carbapenem-resistant Enterobacterales, and theblaCTX-M-15andblaKPCgenes in influent wastewater from 12 diverse sewersheds across metro Atlanta over 2 seasons; examine associations between culture- and digital PCR-based outcomes; and investigate relationships between sewersheds’ sociodemographic characteristics and concentrations of AR bacteria in wastewater. FQ-R Enterobacterales, 3GC-REscherichia coli, and 3GC-RKlebsiella,Enterobacter, orCitrobacterspp. (KEC) were detected in 79-94% of samples (n=34), with concentrations differing among sewersheds. Carbapenem-resistantE. coliand KEC were not reliably detected. TheblaCTX-M-15gene was detected in every sample, and we detected trends towards an association with 3GC-RE. coliand KEC, suggesting potential utility of this gene as a monitoring target. TheblaKPCgene was detected in every sample despite carbapenem-resistantE. coliand KEC not reliably being detected, suggesting it is not an appropriate indicator for these bacteria. After accounting for season, repeated measures, and potential healthcare inputs, we found that sewersheds with higher proportions of crowded households, Hispanic, non-Hispanic Asian, and individuals speaking a language other than English at home had higher flow-normalized concentrations of FQ-R Enterobacterales, 3GC-RE. coliand/or KEC in their wastewater. Comparisons with human data are needed to determine how well sociodemographic patterns observed through wastewater mirror trends in the human population.ImportanceWastewater sampling is a popular tool for the surveillance of health-related targets. Previous studies have demonstrated increases in antibiotic resistance among wastewater-derived fecal pathogens that match temporal trends in geographically-matched patient populations, indicating utility for assessing population-level patterns. Few studies have studied wastewater to examine antibiotic resistance patterns within a city, or to identify sociodemographic characteristics associated with higher concentrations of antibiotic-resistant bacteria in wastewater from certain neighborhoods. We tested municipal wastewater from 12 diverse sewersheds across metro Atlanta across two seasons. We identified significant differences in antibiotic-resistant bacterial concentrations across sewersheds, and after accounting for season, repeated sampling, and potential inputs from healthcare facilities, we found these differences were associated with community characteristics like living conditions and language. Overall, given that clinical surveillance is unlikely to be representative of the US population due to unequal healthcare access, wastewater sampling merits consideration as a novel approach for antibiotic resistance surveillance.
Wastewater sampling could be a low-cost strategy for assessing patterns of antibacterial resistance across urban populations. We aimed to quantify fluoroquinolone-resistant (FQ-R) Enterobacterales, third-generation cephalosporin-resistant (3GC-R) Enterobacterales, carbapenem-resistant Enterobacterales, and theblaCTX-M-15andblaKPCgenes in influent wastewater from 12 diverse sewersheds across metro Atlanta over 2 seasons; examine associations between culture- and digital PCR-based outcomes; and investigate relationships between sewersheds’ sociodemographic characteristics and concentrations of AR bacteria in wastewater. FQ-R Enterobacterales, 3GC-REscherichia coli, and 3GC-RKlebsiella,Enterobacter, orCitrobacterspp. (KEC) were detected in 79-94% of samples (n=34), with concentrations differing among sewersheds. Carbapenem-resistantE. coliand KEC were not reliably detected. TheblaCTX-M-15gene was detected in every sample, and we detected trends towards an association with 3GC-RE. coliand KEC, suggesting potential utility of this gene as a monitoring target. TheblaKPCgene was detected in every sample despite carbapenem-resistantE. coliand KEC not reliably being detected, suggesting it is not an appropriate indicator for these bacteria. After accounting for season, repeated measures, and potential healthcare inputs, we found that sewersheds with higher proportions of crowded households, Hispanic, non-Hispanic Asian, and individuals speaking a language other than English at home had higher flow-normalized concentrations of FQ-R Enterobacterales, 3GC-RE. coliand/or KEC in their wastewater. Comparisons with human data are needed to determine how well sociodemographic patterns observed through wastewater mirror trends in the human population.ImportanceWastewater sampling is a popular tool for the surveillance of health-related targets. Previous studies have demonstrated increases in antibiotic resistance among wastewater-derived fecal pathogens that match temporal trends in geographically-matched patient populations, indicating utility for assessing population-level patterns. Few studies have studied wastewater to examine antibiotic resistance patterns within a city, or to identify sociodemographic characteristics associated with higher concentrations of antibiotic-resistant bacteria in wastewater from certain neighborhoods. We tested municipal wastewater from 12 diverse sewersheds across metro Atlanta across two seasons. We identified significant differences in antibiotic-resistant bacterial concentrations across sewersheds, and after accounting for season, repeated sampling, and potential inputs from healthcare facilities, we found these differences were associated with community characteristics like living conditions and language. Overall, given that clinical surveillance is unlikely to be representative of the US population due to unequal healthcare access, wastewater sampling merits consideration as a novel approach for antibiotic resistance surveillance.
The emergence and rapid spread of antibiotic resistance pose a major threat to global health, attributing to misuse and overuse of antibiotics resulting in antibiotics-resistant bacteria through natural mutation or transfer of resistance genes. A cross-sectional study was carried out, in which a total of 36 samples were systematically collected; of these, 26 were derived from the wastewater efflux and 10 from the receiving waters at several critical junctures along the Sutlej River. Herein, this study elucidated elevated levels of antibiotic resistance among bacterial isolates sourced from urban wastewater. Escherichia coli (E. coli) was the highest at 90% among the isolates, followed by Klebsiella pneumoniae (K. pneumoniae) at 58%, Pseudomonas aeruginosa (P. aeruginosa) at 55%, and Salmonella spp. at 53%. Many antibiotics were found to be more resistant including Ciproflaxacin, Co-Trimaxazole, Ampicillin and Tetracycline. Several antibiotic-resistance genes were found in isolated bacterial spp., such as Aminoglycosides (aadA), Sulfonamides (Sul1, Sul3), Tetracyclines (Tet (A/B/D)) and Cephalosporins (Bla_CTM X) at 41%, 35%, 29% and 12% respectively. Furthermore, the development of innovative wastewater treatment models and surveillance programs are crucial to counteract the dissemination of antibiotic resistance. To investigate the genetic determinants of antibiotic resistance, molecular analysis was performed, including DNA isolation, PCR amplification, and sequence analysis. The study helps investigate a diverse range of ARBs and ARGs in wastewater, which highlights the need of better laws for antibiotic usage and wastewater treatment processes. This investigation also stresses on regular monitoring of ARBs and ARGs in sewage wastewater. Through proactive interventions and sustained scientific inquiry, we can strive toward preserving environmental integrity and public health for successive generations. Graphical Abstract
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