PubMed HealthSearch

PubMed · 40680422

Influence of antimicrobial consumption (AMC) on the detection of antimicrobial resistance genes (ARGs) in urban wastewater.

Abstract

BACKGROUND: Antimicrobial resistance (AMR) is a global health threat, causing over 1.27 million deaths annually and linked to an additional 4.95 million. AMR transmission occurs beyond clinical settings, with wastewater serving as a sentinel of community-level spread. This study investigated how temporal changes in antimicrobial consumption (AMC) correlate with the prevalence of antimicrobial resistance genes (ARGs) in wastewater, using wastewater surveillance (WS) to monitor resistance trends in Quebec, Canada. METHODOLOGY: AMC data (January 2019-May 2023) were obtained from the Institut National de Sant&#xe9; Publique du Qu&#xe9;bec (INSPQ) under a license from IQVIA Solutions Canada Inc. Wastewater samples (September 2020-September 2022) were obtained from three WWTPs and screened for 11 ARGs, including blaTEM, blaSHV, blaCTX-M, blaNDM, blaOXA-1/30, qnrA, qnrB, mphE, and mefA. Analyses assessed temporal and spatial associations between AMC and ARGs. RESULTS: Total prescriptions declined from 537 to 392 per 1000 inhabitants between 2019 and 2020 (-27&#xa0;%), likely due to the impact of the COVID-19 pandemic. This shift created a contrast that allowed us to better capture the signal of AMC through the noise in wastewater composition. &#x3b2;-lactams, macrolides, and fluoroquinolones were the most prescribed classes. ARGs were consistently detected in all 41 samples, with macrolide resistance genes being the most abundant. Strong correlations were observed between AMC and ARG prevalence in wastewater, particularly for &#x3b2;-lactams and fluoroquinolones (Spearman R&#xa0;=&#xa0;0.80 and 0.81, p&#xa0;<&#xa0;0.05). Spatial patterns showed uniform AMC but variable ARG levels. CONCLUSIONS: Our study highlights the correlation between AMC and ARG. WS shows promise for real-time AMR monitoring.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Helena Ferreira Leal, &#xc9;lise Fortin, Sarah Dorner, Dominic Frigon, Caroline Quach, Emilie B&#xe9;dard. 2025-07-17. Influence of antimicrobial consumption (AMC) on the detection of antimicrobial resistance genes (ARGs) in urban wastewater.. https://doi.org/10.1016/j.ijheh.2025.114621

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

The COVID-19 pandemic influenced the temporal dynamics of antimicrobial resistance markers and bacterial community across urban wastewater treatment plants.

Urban wastewater systems represent important interfaces between human activity and the environmental occurrence of antimicrobial resistance (AMR) markers. We assessed the temporal dynamics of intI1, ermB, and the 16&#xa0;S rRNA gene by quantitative PCR across three wastewater systems (EPC, CJC, and JW) in Fortaleza, Brazil, from November 2021 to November 2023. Bacterial communities were additionally characterized by 16&#xa0;S rRNA gene metabarcoding in 18 samples collected in December 2021 and January 2022. A synchronized decline in 16&#xa0;S rRNA gene and intI1 concentrations beginning in late 2022 was observed across all three wastewater systems, suggesting a shift toward lower microbial abundance. The ermB gene showed higher and more variable concentrations during part of the pandemic period, followed by convergence toward lower levels; however, the absence of antimicrobial-consumption data precluded attribution of this pattern to changes in macrolide selective pressure. Normalized antimicrobial resistance marker abundances were comparatively stable at EPC and JW but more variable at CJC. EPC exhibited the highest ASV richness, whereas CJC and JW showed greater diversity according to Shannon and inverse Simpson indices. Beta-diversity analyses identified wastewater system as the principal factor associated with bacterial community structure, while the effect of sampling period was smaller and metric-dependent. Neither ermB nor intI1 was individually associated with community composition, although intI1 showed a limited effect after adjustment for wastewater system in one model. Physicochemical parameters were not significantly associated with normalized marker abundances in the exploratory paired analysis. Arcobacter, Acinetobacter, and other potentially relevant genera were detected, but no direct associations between these taxa and the monitored AMR markers could be established. These findings highlight the value of integrating longitudinal qPCR, microbiome profiling, and environmental characterization to improve the interpretation of targeted AMR markers in One Health wastewater surveillance.

Wastewater

Whole-genome sequencing of adenovirus 41 directly from wastewater using nested overlapping PCR and MinION.

Human adenovirus F41 (HAdV-F41) is one of the leading causes of children's acute gastroenteritis and was recently linked to an outbreak of severe acute hepatitis of unknown etiology among children during 2021 to 2022. While most evidence is based on clinical data, wastewater-based epidemiology offers a community-level approach to monitoring circulating strains and enhancing outbreak preparedness. In this study, we developed an overlapping amplicon-based whole-genome sequencing approach to directly detect HAdV-F41 from archived wastewater samples, using nested PCR with 13 primer sets. Archived wastewater samples were collected between 2021 and 2022 from three treatment plants in Seattle, USA. The viral load ranged from 1.2 &#xd7; 103 to 8.4 &#xd7; 103 genome copies per liter. The Oxford Nanopore platform was used for whole-genome sequencing. Complete or partial (>84%) HAdV-F41 genomes were recovered from wastewater samples, with mean coverage depths ranging from 10&#xb3; to 10&#x2075;. The consensus sequences showed more than 99% similarity to reference genomes in the NCBI database. The phylogenetic analysis revealed that 2 sequences clustered within lineage 2a and 11 within lineage 2b, reflecting that at least two sub-lineages were circulating in the community at that time. Our results demonstrate that the overlapping amplicon-based whole-genome sequencing approach using the Oxford Nanopore platform reliably recovers HAdV-F41 genomes from wastewater. This method offers high-resolution genomic surveillance of circulating, clinically relevant HAdV-F41, supporting wastewater-based epidemiology as a valuable tool for detecting emerging variants and strengthening the early warning system for future disease outbreaks.IMPORTANCEHuman adenovirus F41 is a primary cause of childhood gastroenteritis and has been linked to recent outbreaks of severe acute hepatitis in children, yet community-level genomic surveillance of this virus remains limited. This study shows that wastewater can be used to recover nearly complete HAdV-F41 genomes through a targeted overlapping-amplicon sequencing strategy on the Oxford Nanopore platform. By applying this method to archived wastewater samples, we detected the simultaneous circulation of multiple viral lineages in a large city. These findings extend wastewater-based epidemiology beyond SARS-CoV-2 and emphasize its importance for monitoring clinically significant enteric viruses. The method described here offers a scalable tool for tracking viral evolution in communities and enhancing early warning systems for future outbreaks.

Wastewater

Wastewater viromics reveals host-structured viral signals and non-human pathogens.

Wastewater represents a powerful platform for human virus surveillance. However, the entry of animal- and plant-associated viruses into sewage is heterogeneous and incompletely understood, creating uncertainty about how reliably wastewater reflects non-human virus circulation. Here, we address this by analysing monthly wastewater metagenomic data from two distinct periods (2020-2021 and 2024-2025) across five major Finnish wastewater treatment plant catchments using a targeted hybrid-capture approach to characterise the composition, host range, and spatial distribution of the non-human wastewater virome. Nearly half of the detected viral accessions were non-human, indicating substantial diversity, despite human-associated viruses accounting for 83% of normalised viral reads. Rodent-, livestock-, and bird-associated viruses showed spatial structuring consistent with regional host populations. The wastewater viromics also detected four EU-regulated plant pathogens, including tomato brown rugose fruit virus, which was highly prevalent in wastewater two years before its first official detection in Finland. Together, these results show that wastewater contains structured, host-linked viral signals, supporting its use as an ecological proxy for non-human virus circulation.

Wastewater