Bacteriophages from faecal contamination are an important reservoir for AMR in aquatic environments DOI Creative Commons

Tristan M. Nolan,

Laura Sala‐Comorera,

Liam J. Reynolds

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 900, P. 165490 - 165490

Published: July 22, 2023

Bacteriophages have been shown to play an important role in harbouring and propagating antibiotic resistance genes (ARGs). Faecal matter contains high levels of phages, suggesting that faecal contamination water bodies may lead increased antimicrobial (AMR) due phage loading aquatic environments. In this study, we assessed whether pollution three rivers (Rivers Liffey, Tolka, Dodder) was responsible for ARGs particles using established phage-faecal markers, focusing on four (blaTEM, tet(O), qnrS, sul1). We observed all fractions rivers, with more frequently agricultural urban sampling sites compared their source. These findings highlight the environmental AMR impact activities quality. Furthermore, our results suggest importance including phages as indicators when assessing AMR, they serve significant reservoirs This study provides insights into prevalence environment need inclusion future studies provide a comprehensive understanding AMR.

Language: Английский

Comparative assessment of Nanotrap and polyethylene glycol-based virus concentration in wastewater samples DOI Creative Commons
Kata Farkas, Jessica L. Kevill, Rachel C. Williams

et al.

FEMS Microbes, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 1, 2024

Abstract Wastewater-based epidemiology is now widely used in many countries for the routine monitoring of SARS-CoV-2 and other viruses at a community level. However, efficient sample processing technologies are still under investigation. In this study, we compared performance novel Nanotrap® Microbiome Particles (NMP) concentration method to commonly polyethylene glycol (PEG) precipitation concentrating from wastewater their subsequent quantification sequencing. For this, first spiked with SARS-CoV-2, influenza measles norovirus found that NMP recovered 0.4%–21% them depending on virus type, providing consistent reproducible results. Using PEG methods, monitored A B viruses, RSV, enteroviruses GI GII crAssphage using quantitative PCR (qPCR)-based methods next-generation Good viral recoveries were observed highly abundant both methods; however, was more successful recovery low-abundance present wastewater. Furthermore, samples processed successfully sequenced than those method. Virus enhanced by high volumes when applied. Overall, our results suggest rapid easy targets wastewater, whereas may be suited analysis next generation

Language: Английский

Citations

6

Detection of human adenovirus F41 in wastewater and its relationship to clinical cases of acute hepatitis of unknown aetiology DOI Creative Commons
Marina Reyne,

Danielle M. Allen,

Ashley Levickas

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 857, P. 159579 - 159579

Published: Oct. 18, 2022

As of 8 July 2022, the World Health Organization (WHO) have reported 1010 probable cases acute hepatitis unknown aetiology in children worldwide, including approximately 250 United Kingdom (UK). Clinical presentations often been severe, with liver transplantation a frequent clinical outcome. Human adenovirus F41 (HAdV-F41) has detected most hepatitis, but its role pathogenesis this infection yet to be established. Wastewater-based epidemiology (WBE) become well-established tool for monitoring community spread SARS-CoV-2, as well other pathogens and chemicals. In study, we adopted WBE approach levels HAdV-F40/41 wastewater before during an outbreak Northern Ireland. We report increasing detection wastewater, concomitant numbers cases. Amplicon whole genome sequencing further classified wastewater-derived HAdV belonging genotype which turn was homologous clinically derived sequences. propose that potential inform surveillance HAdV-F41 can contribute ongoing global discussion supporting involvement

Language: Английский

Citations

24

Rise and fall of SARS-CoV-2 variants in Rotterdam: Comparison of wastewater and clinical surveillance DOI Open Access
Ray Izquierdo-Lara, Leo Heijnen, Bas B. Oude Munnink

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 873, P. 162209 - 162209

Published: Feb. 14, 2023

Language: Английский

Citations

15

Significance of wastewater surveillance in detecting the prevalence of SARS-CoV-2 variants and other respiratory viruses in the community – A multi-site evaluation DOI Creative Commons
Majid Khan, Lin Li, Laura Haak

et al.

One Health, Journal Year: 2023, Volume and Issue: 16, P. 100536 - 100536

Published: April 6, 2023

Detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral genome in wastewater has proven to be useful for tracking the trends virus prevalence within community. The surveillance also provides precise and early detection any new circulating variants, which aids response outbreaks. Site-specific monitoring SARS-CoV-2 variants valuable information on or emerging We sequenced genomic RNA viruses present samples analyzed as well other a period one year account seasonal variations. were collected from Reno-Sparks metropolitan area weekly basis between November 2021 2022. Samples detect levels copies identification. This study confirmed that can used community supports wastewater-based epidemiology (WBE) complement clinical testing healthcare effort. Our showed persistence throughout compared presence viruses, implicating SARS-CoV-2's broad genetic diversity strength persist infect susceptible hosts. Through secondary analysis, we further identified antimicrobial resistance (AMR) genes same found WBE feasible tool AMR monitoring.

Language: Английский

Citations

13

Wastewater-based epidemiology for COVID-19 surveillance and beyond: A survey DOI Creative Commons
Chen Chen,

Yunfan Wang,

Gursharn Kaur

et al.

Epidemics, Journal Year: 2024, Volume and Issue: 49, P. 100793 - 100793

Published: Sept. 26, 2024

Language: Английский

Citations

5

Wastewater-based epidemiology approach: The learning lessons from COVID-19 pandemic and the development of novel guidelines for future pandemics DOI
Erica Gagliano,

Deborah Biondi,

Paolo Roccaro

et al.

Chemosphere, Journal Year: 2022, Volume and Issue: 313, P. 137361 - 137361

Published: Nov. 22, 2022

Language: Английский

Citations

21

Prevalence of SARS-CoV-2 variants in Prague wastewater determined by nanopore-based sequencing DOI Creative Commons
Alžběta Dostálková, Kamila Zdeňková,

Jana Bartáčková

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 351, P. 141162 - 141162

Published: Jan. 11, 2024

The early detection of upcoming disease outbreaks is essential to avoid both health and economic damage. last four years COVID-19 pandemic have proven wastewater-based epidemiology a reliable system for monitoring the spread SARS-CoV-2, causative agent COVID-19, in an urban population. As this enables identification prevalence spreading variants it could provide critical tool fight against viral disease. In study, we evaluated presence subvariants SARS-CoV-2 Prague wastewater using nanopore-based sequencing. During August 2021, data clearly showed that number identified RNA copies increased earlier than clinical samples indicating wave Delta variant. New consistently prevailed around month after they already samples. We also analyzed from smaller sub-sewersheds detected significant differences lineage progression dynamics among individual localities studied, e.g., suggesting faster new sites with highest population density mobility.

Language: Английский

Citations

4

Temporal assessment of SARS-CoV-2 detection in wastewater and its epidemiological implications in COVID-19 case dynamics DOI Creative Commons
Lin Li, Laura Haak, Madeline Carine

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(8), P. e29462 - e29462

Published: April 1, 2024

This research evaluated the relationship between daily new Coronavirus Disease 2019 (COVID-19) cases and Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) concentrations in wastewater, followed by effects of differential SARS-CoV-2 shedding loads across various COVID-19 outbreaks. Linear regression analyses were utilized to examine lead time signal wastewater relative clinical cases. During Delta wave, no was evident, highlighting limited predictive capability monitoring during this phase. However, significant times observed Omicron potentially attributed testing capacity overload subsequent case reporting delays or changes patterns. Post-Omicron wave (Febuary 23 May 19, 2022), discernible, whereas following lifting state emergency (May 30, 2022 2023), correlation coefficient increased demonstrated potential surveillance as an early warning system. Subsequently, we explored virus through feces, operationalized ratio varied significantly Delta, Omicron, other variants post-state-emergency phases, with Kruskal-Wallis H test confirming a difference medians these stages (P < 0.0001). Despite its promise, disease prevalence presents several challenges, including variability, data interpretation complexity, impact environmental factors on viral degradation, lack standardized procedures. Overall, our findings offer insights into concentrations, variation different pandemic underscore promise limitations system for trends.

Language: Английский

Citations

4

Lifting of travel restrictions brings additional noise in COVID-19 surveillance through wastewater-based epidemiology in post-pandemic period DOI Creative Commons
Xuan Li, Jibin Li, Huan Liu

et al.

Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123114 - 123114

Published: Jan. 7, 2025

The post-pandemic world still faces ongoing COVID-19 infections, although international travel has returned to pre-pandemic conditions. Wastewater-based epidemiology (WBE) is considered an efficient tool for the population-wide surveillance of infections during pandemic. However, performance WBE in era with restrictions lifted remains unknown. Utilizing weekly county-level wastewater data from June 2021-November 2022 222 counties 49 states (covering 104 million people) United States America, we retrospectively evaluated correlations between SARS-CoV-2 RNA (C

Language: Английский

Citations

0

The use of wastewater surveillance to estimate SARS-CoV-2 fecal viral shedding pattern and identify time periods with intensified transmission DOI Creative Commons
Wan Yang,

Enoma Omoregie,

Aaron L. Olsen

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 24, 2025

Wastewater-based surveillance is an important tool for monitoring the COVID-19 pandemic. However, it remains challenging to translate wastewater SARS-CoV-2 viral load infection number, due unclear shedding patterns in and potential differences between variants. We utilized comprehensive data estimates of prevalence (i.e., source shedding) available New York City (NYC) characterize fecal pattern over multiple waves. collected measurements NYC during August 31, 2020 – 29, 2023 (N = 3794 samples). Combining with (number infectious individuals including those not detected as cases), we estimated time-lag, duration, per-infection rate ancestral/Iota, Delta, Omicron variants, separately. also developed a procedure identify occasions intensified transmission. Models suggested likely starts around same time lasts slightly longer than respiratory tract shedding. Estimated was highest ancestral/Iota variant wave, at 1.44 (95% CI: 1.35 1.53) billion RNA copies per day (measured by RT-qPCR), decreased 20% 50-60% Delta wave period, respectively. identified 200 which exceeded expected level any city's 14 sewersheds. These anomalies disproportionally occurred late January, April—early May, early August, from late-November late-December, frequencies exceeding expectation assuming random occurrence (P < 0.05; bootstrapping test). may be useful understanding changes underlying help quantify transmission severity time. have demonstrated that can support identification periods potentially

Language: Английский

Citations

0