Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122658 - 122658
Published: Oct. 18, 2024
Language: Английский
Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122658 - 122658
Published: Oct. 18, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 968, P. 178889 - 178889
Published: Feb. 19, 2025
Language: Английский
Citations
1Food and Environmental Virology, Journal Year: 2025, Volume and Issue: 17(1)
Published: Jan. 4, 2025
Abstract Wastewater-based surveillance has emerged as a powerful approach to monitoring infectious diseases within community. Typically, wastewater samples are concentrated before viral analyses improve sensitivity. Current concentration methods vary in time requirements, costs, and efficiency. Here, we evaluated the efficiency bias of novel approach, Nanotrap Microbiome Particles (NMP), wastewater. NMP was target-specific, with significantly lower concentrations bacterial indicator HF183 Carjivirus (formerly crAssphage) relative direct extraction (1.2 × 10 5 vs. 3.4 GC/mL 2.0 1.2 GC/mL, respectively), but higher fecal Pepper Mild Mottle Virus (PMMoV) (1.4 8.4 3 GC/mL). Targeted metagenomic sequencing showed that resulted more unique species reads per sample than extractions ( p < 0.001) by detecting went undetected extractions. Key families identified high abundances were Adenoviridae, Caliciviridae, Herpesviridae, Papillomaviridae, Polyomaviridae. differential ability for concentrating clinically relevant families, suggesting technology should be optimized specific targets implementation.
Language: Английский
Citations
0Environmental Science & Technology Letters, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 31, 2025
Language: Английский
Citations
0ACS ES&T Water, Journal Year: 2025, Volume and Issue: unknown
Published: April 28, 2025
Language: Английский
Citations
0Water Research, Journal Year: 2023, Volume and Issue: 250, P. 121095 - 121095
Published: Dec. 30, 2023
Language: Английский
Citations
6The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175687 - 175687
Published: Aug. 22, 2024
Language: Английский
Citations
1Microbiology Spectrum, Journal Year: 2024, Volume and Issue: 12(10)
Published: Aug. 20, 2024
ABSTRACT The co-circulation of mosquito-borne Japanese encephalitis virus (JEV), Murray Valley (MVEV), and West Nile (WNV) has impacted human animal health in multiple countries worldwide. To facilitate early warnings surveillance the presence these viral infectious agents environment, a triplex reverse transcription-quantitative PCR (RT-qPCR) was developed for simultaneous quantification JEV, MVEV, WNV potential hotspots such as piggery urban wastewater environmental water samples. performance RT-qPCR assay compared with that simplex counterparts, all using same primer probe sequences. quantifiable results showed concordance rate 93.9%–100% (Cohen’s kappa) between assays. mean concentrations exogenous assays were remarkably similar piggery/urban However, impacts matrix effects (i.e., sample composition inhibition) samples on accurate viruses need to be considered. Taken together, this newly will allow more rapid cost-efficient analysis data interpretation. application may valuable tool complement existing disease mosquito approaches used safeguard both humans animals. IMPORTANCE poses significant threats globally. In study, Results demonstrated high sensitivity assays, indicating its efficacy surveillance. This cost-effective offers vital timely monitoring samples, enhancing our ability mitigate outbreaks public health.
Language: Английский
Citations
0The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 959, P. 178141 - 178141
Published: Dec. 21, 2024
Language: Английский
Citations
0medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: April 25, 2024
Abstract Background Wastewater monitoring data can be used to estimate disease trends inform public health responses. One commonly estimated metric is the rate of change in pathogen quantity, which typically correlates with clinical surveillance retrospective analyses. However, accuracy estimation approaches has not previously been evaluated. Objectives We assessed performance for estimating rates wastewater loads by generating synthetic time series were known. Each approach was also evaluated on real-world data. Methods Smooth and their first derivatives jointly sampled from Gaussian processes (GP) independent errors added generate viral load measurements; range hyperparameter error variance varied produce nine simulation scenarios representing different potential patterns. The directions magnitudes estimates four (two established two developed this work) compared GP derivative evaluate classification quantitative accuracy. implemented SARS-CoV-2 collected January 2021 – May 2023 at 25 sites North Carolina, USA. Results All inconsistently identified correct direction trend given sign derivative. Across all simulated patterns, between a quarter half indicated wrong direction, regardless approach. proportion classified as plateaus (statistically indistinguishable zero) Carolina considerably method but site. Discussion Our results suggest that measurements alone might provide sufficient reliably track real-time. Instead, could combined additional improve predictions other outcomes.
Language: Английский
Citations
0Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122658 - 122658
Published: Oct. 18, 2024
Language: Английский
Citations
0