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Shrestha S, Malla B, Haramoto E. High-throughput microfluidic quantitative PCR system for the simultaneous detection of antibiotic resistance genes and bacterial and viral pathogens in wastewater. ENVIRONMENTAL RESEARCH 2024; 255:119156. [PMID: 38759773 DOI: 10.1016/j.envres.2024.119156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 05/12/2024] [Accepted: 05/14/2024] [Indexed: 05/19/2024]
Abstract
Comprehensive data on bacterial and viral pathogens of diarrhea and studies applying culture-independent methods for examining antibiotic resistance in wastewater are lacking. This study aimed to simultaneously quantify antibiotic resistance genes (ARGs), class 1 integron-integrase (int1), bacterial and viral pathogens of diarrhea, 16S rRNA, and other indicators using a high-throughput quantitative PCR (HT-qPCR) system. Thirty-six grab wastewater samples from a wastewater treatment plant in Japan, collected three times a month between August 2022 and July 2023, were centrifuged, followed by nucleic acid extraction, reverse transcription, and HT-qPCR. Fourteen targets were included, and HT-qPCR was performed on the Biomark X9™ System (Standard BioTools). For all qPCR assays, R2 was ≥0.978 and the efficiencies ranged from 90.5% to 117.7%, exhibiting high performance. Of the 36 samples, 20 (56%) were positive for Norovirus genogroup II (NoV-GII), whereas Salmonella spp. and Campylobacter jejuni were detected in 24 (67%) and Campylobacter coli in 13 (36%) samples, with mean concentrations ranging from 3.2 ± 0.8 to 4.7 ± 0.3 log10 copies/L. NoV-GII detection ratios and concentrations were higher in winter and spring. None of the pathogens of diarrhea correlated with acute gastroenteritis cases, except for NoV-GII, suggesting the need for data on specific bacterial infections to validate bacterial wastewater-based epidemiology (WBE). All samples tested positive for sul1, int1, and blaCTX-M, irrespective of season. The less explored blaNDM-1 showed a wide prevalence (>83%) and consistent abundance ranging from 4.3 ± 1.0 to 4.9 ± 0.2 log10 copies/L in all seasons. sul1 was the predominant ARG, whereas absolute abundances of 16S rRNA, int1, and blaCTX-M varied seasonally. int1 was significantly correlated with blaCTX-M in autumn and spring, whereas it showed no correlation with blaNDM-1, questioning the applicability of int1 as a sole indicator of overall resistance determinants. This study exhibited that the HT-qPCR system is pivotal for WBE.
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Affiliation(s)
- Sadhana Shrestha
- Interdisciplinary Center for River Basin Environment, University of Yamanashi, Yamanashi, 400-8511, Japan.
| | - Bikash Malla
- Interdisciplinary Center for River Basin Environment, University of Yamanashi, Yamanashi, 400-8511, Japan.
| | - Eiji Haramoto
- Interdisciplinary Center for River Basin Environment, University of Yamanashi, Yamanashi, 400-8511, Japan.
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2
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Boogaerts T, Van Wichelen N, Quireyns M, Burgard D, Bijlsma L, Delputte P, Gys C, Covaci A, van Nuijs ALN. Current state and future perspectives on de facto population markers for normalization in wastewater-based epidemiology: A systematic literature review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 935:173223. [PMID: 38761943 DOI: 10.1016/j.scitotenv.2024.173223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/10/2024] [Accepted: 05/11/2024] [Indexed: 05/20/2024]
Abstract
Wastewater-based epidemiology (WBE) and wastewater surveillance have become a valuable complementary data source to collect information on community-wide exposure through the measurement of human biomarkers in influent wastewater (IWW). In WBE, normalization of data with the de facto population that corresponds to a wastewater sample is crucial for a correct interpretation of spatio-temporal trends in exposure and consumption patterns. However, knowledge gaps remain in identifying and validating suitable de facto population biomarkers (PBs) for refinement of WBE back-estimations. WBE studies that apply de facto PBs (including hydrochemical parameters, utility consumption data sources, endo- and exogenous chemicals, biological biomarkers and signalling records) for relative trend analysis and absolute population size estimation were systematically reviewed from three databases (PubMed, Web of Science, SCOPUS) according to the PRISMA guidelines. We included in this review 81 publications that accounted for daily variations in population sizes by applying de facto population normalization. To date, a wide range of PBs have been proposed for de facto population normalization, complicating the comparability of normalized measurements across WBE studies. Additionally, the validation of potential PBs is complicated by the absence of an ideal external validator, magnifying the overall uncertainty for population normalization in WBE. Therefore, this review proposes a conceptual tier-based cross-validation approach for identifying and validating de facto PBs to guide their integration for i) relative trend analysis, and ii) absolute population size estimation. Furthermore, this review also provides a detailed evaluation of the uncertainty observed when comparing different de jure and de facto population estimation approaches. This study shows that their percentual differences can range up to ±200 %, with some exceptions showing even larger variations. This review underscores the need for collaboration among WBE researchers to further streamline the application of de facto population normalization and to evaluate the robustness of different PBs in different socio-demographic communities.
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Affiliation(s)
- Tim Boogaerts
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Exposome Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Natan Van Wichelen
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Exposome Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Maarten Quireyns
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Exposome Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Dan Burgard
- Department of Chemistry and Biochemistry, University of Puget Sound, Tacoma, WA, USA
| | - Lubertus Bijlsma
- Environmental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water, University Jaume I, Castellón, Spain
| | - Peter Delputte
- Laboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Infla-Med Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Celine Gys
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Exposome Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Adrian Covaci
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Exposome Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Alexander L N van Nuijs
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Exposome Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
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3
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Armenise E, Rustage S, Jackson KJ, Watts G, Hart A. Adjusting for dilution in wastewater using biomarkers: A practical approach. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 366:121596. [PMID: 38991335 DOI: 10.1016/j.jenvman.2024.121596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 06/06/2024] [Accepted: 06/23/2024] [Indexed: 07/13/2024]
Abstract
We developed a biomarker-based approach to quantify in-sewer dilution by measuring wastewater quality parameters (ammoniacal-N, orthophosphate, crAssphage). This approach can enhance the environmental management of wastewater treatment works (WWTW) by optimising their operation and providing cost-effective information on the health and behaviour of populations and their interactions with the environment through wastewater-based epidemiology (WBE). Our method relies on site specific baselines calculated for each biomarker. These baselines reflect the sewer conditions without the influence of rainfall-derived inflow and infiltration (RDII). Ammoniacal-N was the best candidate to use as proxy for dilution. We demonstrated that the dilution calculated using biomarkers correlates well with the dilution indicated by measured flow. In some instances, the biomarkers showed much higher dilution than measured flows. These differences were attributed to the loss of flow volume at wastewater treatment works due to the activation of combined sewer overflows (CSOs) and/or storm tanks. Using flow measured directly at the WWTW could therefore result in underestimation of target analyte loads.
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Affiliation(s)
- E Armenise
- Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK.
| | - S Rustage
- Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK
| | - K J Jackson
- Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK
| | - G Watts
- Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK
| | - A Hart
- Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK
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Xiong F, Su Z, Tang Y, Dai T, Wen D. Global WWTP Microbiome-based Integrative Information Platform: From experience to intelligence. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2024; 20:100370. [PMID: 38292137 PMCID: PMC10826124 DOI: 10.1016/j.ese.2023.100370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 02/01/2024]
Abstract
Domestic and industrial wastewater treatment plants (WWTPs) are facing formidable challenges in effectively eliminating emerging pollutants and conventional nutrients. In microbiome engineering, two approaches have been developed: a top-down method focusing on domesticating seed microbiomes into engineered ones, and a bottom-up strategy that synthesizes engineered microbiomes from microbial isolates. However, these approaches face substantial hurdles that limit their real-world applicability in wastewater treatment engineering. Addressing this gap, we propose the creation of a Global WWTP Microbiome-based Integrative Information Platform, inspired by the untapped microbiome and engineering data from WWTPs and advancements in artificial intelligence (AI). This open platform integrates microbiome and engineering information globally and utilizes AI-driven tools for identifying seed microbiomes for new plants, providing technical upgrades for existing facilities, and deploying microbiomes for accidental pollution remediation. Beyond its practical applications, this platform has significant scientific and social value, supporting multidisciplinary research, documenting microbial evolution, advancing Wastewater-Based Epidemiology, and enhancing global resource sharing. Overall, the platform is expected to enhance WWTPs' performance in pollution control, safeguarding a harmonious and healthy future for human society and the natural environment.
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Affiliation(s)
- Fuzhong Xiong
- College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Zhiguo Su
- School of Environment, Tsinghua University, Beijing, 100084, China
| | - Yushi Tang
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, 08544, USA
| | - Tianjiao Dai
- School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083, China
| | - Donghui Wen
- College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
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Morecchiato F, Coppi M, Niccolai C, Antonelli A, Di Gloria L, Calà P, Mancuso F, Ramazzotti M, Lotti T, Lubello C, Rossolini GM. Evaluation of different molecular systems for detection and quantification of SARS-CoV-2 RNA from wastewater samples. J Virol Methods 2024; 328:114956. [PMID: 38796134 DOI: 10.1016/j.jviromet.2024.114956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 05/28/2024]
Abstract
Wastewater-based epidemiology has proved to be a suitable approach for tracking the spread of epidemic agents including SARS-CoV-2 RNA. Different protocols have been developed for quantitative detection of SARS-CoV-2 RNA from wastewater samples, but little is known on their performance. In this study we compared three protocols based on Reverse Transcription Real Time-PCR (RT-PCR) and one based on Droplet Digital PCR (ddPCR) for SARS-CoV-2 RNA detection from 35 wastewater samples. Overall, SARS-CoV-2 RNA was detected by at least one method in 85.7 % of samples, while 51.4 %, 22.8 % and 8.6 % resulted positive with two, three or all four methods, respectively. Protocols based on commercial RT-PCR assays and on Droplet Digital PCR showed an overall higher sensitivity vs. an in-house assay. The use of more than one system, targeting different genes, could be helpful to increase detection sensitivity.
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Affiliation(s)
- Fabio Morecchiato
- Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy
| | - Marco Coppi
- Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy
| | - Claudia Niccolai
- Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy
| | - Alberto Antonelli
- Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy
| | - Leandro Di Gloria
- Department of Experimental Biomedical and Clinical Sciences "Mario Serio" (SBSC), University of Florence, Viale Morgagni, 50, Firenze (FI) 50134, Italy
| | - Piergiuseppe Calà
- Tuscany Region, Department of Prevention Local Health Authority Tuscany Center, Via S. Salvi, 12, Firenze (FI) 50135, Italy
| | - Fabrizio Mancuso
- Ingegnerie Toscane - Area R&D, Via Bellatalla, 1, Pisa (PI) 56121, Italy
| | - Matteo Ramazzotti
- Department of Experimental Biomedical and Clinical Sciences "Mario Serio" (SBSC), University of Florence, Viale Morgagni, 50, Firenze (FI) 50134, Italy
| | - Tommaso Lotti
- Department of Civil and Environmental Engineering (DICEA), University of Florence, Via di S. Marta, 3, Firenze (FI) 50139, Italy
| | - Claudio Lubello
- Department of Civil and Environmental Engineering (DICEA), University of Florence, Via di S. Marta, 3, Firenze (FI) 50139, Italy
| | - Gian Maria Rossolini
- Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy.
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Ofori B, Agoha RK, Bokoe EK, Armah ENA, Misita Morang'a C, Sarpong KAN. Leveraging wastewater-based epidemiology to monitor the spread of neglected tropical diseases in African communities. Infect Dis (Lond) 2024:1-15. [PMID: 38922811 DOI: 10.1080/23744235.2024.2369177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
Neglected tropical diseases continue to cause a significant burden worldwide, with Africa accounting for more than one-third of the global burden. Over the past decade, progress has been made in eliminating, controlling, and eradicating these diseases in Africa. By December 2022, 47 out of 54 African countries had eliminated at least one neglected tropical disease, and more countries were close to achieving this milestone. Between 2020 and 2021, there was an 80 million reduction in people requiring intervention. However, continued efforts are needed to manage neglected tropical diseases and address their social and economic burden, as they deepen marginalisation and stigmatisation. Wastewater-based epidemiology involves analyzing wastewater to detect and quantify biomarkers of disease-causing pathogens. This approach can complement current disease surveillance systems in Africa and provide an additional layer of information for monitoring disease spread and detecting outbreaks. This is particularly important in Africa due to limited traditional surveillance methods. Wastewater-based epidemiology also provides a tsunami-like warning system for neglected tropical disease outbreaks and can facilitate timely intervention and optimised resource allocation, providing an unbiased reflection of the community's health compared to traditional surveillance systems. In this review, we highlight the potential of wastewater-based epidemiology as an innovative approach for monitoring neglected tropical disease transmission within African communities and improving existing surveillance systems. Our analysis shows that wastewater-based epidemiology can enhance surveillance of neglected tropical diseases in Africa, improving early detection and management of Buruli ulcers, hookworm infections, ascariasis, schistosomiasis, dengue, chikungunya, echinococcosis, rabies, and cysticercosis for better disease control.
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Affiliation(s)
- Benedict Ofori
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
- Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana
| | - Righteous Kwaku Agoha
- Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana
| | - Edem Kwame Bokoe
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
- Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana
| | | | - Collins Misita Morang'a
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
- Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana
| | - Kwabena Amofa Nketia Sarpong
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
- Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana
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7
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Ramos B, Lourenço AB, Monteiro S, Santos R, Cunha MV. Metagenomic profiling of raw wastewater in Portugal highlights microbiota and resistome signatures of public health interest beyond the usual suspects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174272. [PMID: 38925382 DOI: 10.1016/j.scitotenv.2024.174272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/22/2024] [Accepted: 06/22/2024] [Indexed: 06/28/2024]
Abstract
In response to the rapid emergence and dissemination of antimicrobial resistant bacteria (ARB) and genes (ARGs), integrated surveillance systems are needed to address antimicrobial resistance (AMR) within the One Health Era. Wastewater analyses enable biomarker monitoring at the sewershed level, offering timely insights into pathogen circulation and ARB/ARGs trends originating from different compartments. During two consecutive epidemic waves of the COVID-19 pandemic in Portugal, taxonomic and functional composition of raw urban wastewater from two wastewater treatment plants (WWTPs) representing one million in equivalent population, located in the main urban areas of the country, were profiled by shotgun metagenomics. Hospital wastewater from two central hospitals located in the WWTPs catchment areas were also sequenced. The resistome and virulome were profiled using metagenomic assemblies without taxonomic constraint, and then specifically characterized for ESKAPE pathogens. Urban and hospital wastewater exhibited specific microbiota signatures, Pseudomonadota dominated in the first and Bacteroidota in the latter. Correlation network analyses highlighted 85 (out of top 100) genera co-occurring across samples. The most frequent ARGs were classified in the multidrug, tetracyclines, and Macrolides, Lincosamides, Streptogramins (MLS) classes. Links established between AMR determinants and bacterial hosts evidenced that the diversity and abundance of ARGs is not restricted to ESKAPE, being also highly predominant among emergent enteropathogens, like Aeromonas and Aliarcobacter, or in the iron (II) oxidizer Acidovorax. The Aliarcobacter genus accumulated high abundance of sulphonamides and polymyxins ARGs, while Acinetobacter and Aeromonas hosted the highest abundance of ARGs against beta-lactams. Other bacteria (e.g. Clostridioides, Francisella, Vibrio cholerae) and genes (e.g. vanA-type vancomycin resistance) of public health interest were detected, with targeted monitoring efforts being needed to establish informative baseline data. Altogether, results highlight that wastewater monitoring is a valuable component of pathogen and AMR surveillance in healthy populations, providing a community-representative snapshot of public health trends beyond priority pathogens.
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Affiliation(s)
- Beatriz Ramos
- Pathogen Biology & Global Health Laboratory, Centre for Ecology, Evolution and Environmental Changes (cE3c) & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Artur B Lourenço
- Pathogen Biology & Global Health Laboratory, Centre for Ecology, Evolution and Environmental Changes (cE3c) & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Silvia Monteiro
- Laboratório de Águas, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; Department of Nuclear Sciences and Engineering (DECN), Instituto Superior Técnico, Universidade de Lisboa, Bobadela, Portugal
| | - Ricardo Santos
- Laboratório de Águas, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; Department of Nuclear Sciences and Engineering (DECN), Instituto Superior Técnico, Universidade de Lisboa, Bobadela, Portugal
| | - Mónica V Cunha
- Pathogen Biology & Global Health Laboratory, Centre for Ecology, Evolution and Environmental Changes (cE3c) & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal; Biosystems & Integrative Sciences Institute (BioISI), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
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Sudarsan JS, Dogra K, Kumar R, Raval NP, Leifels M, Mukherjee S, Trivedi MH, Jain MS, Zang J, Barceló D, Mahlknecht J, Kumar M. Tricks and tracks of prevalence, occurrences, treatment technologies, and challenges of mixtures of emerging contaminants in the environment: With special emphasis on microplastic. JOURNAL OF CONTAMINANT HYDROLOGY 2024; 265:104389. [PMID: 38941876 DOI: 10.1016/j.jconhyd.2024.104389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 06/06/2024] [Accepted: 06/21/2024] [Indexed: 06/30/2024]
Abstract
This paper aims to emphasize the occurrence of various emerging contaminant (EC) mixtures in natural ecosystems and highlights the primary concern arising from the unregulated release into soil and water, along with their impacts on human health. Emerging contaminant mixtures, including pharmaceuticals, personal care products, dioxins, polychlorinated biphenyls, pesticides, antibiotics, biocides, surfactants, phthalates, enteric viruses, and microplastics (MPs), are considered toxic contaminants with grave implications. MPs play a crucial role in transporting pollutants to aquatic and terrestrial ecosystems as they interact with the various components of the soil and water environments. This review summarizes that major emerging contaminants (ECs), like trimethoprim, diclofenac, sulfamethoxazole, and 17α-Ethinylestradiol, pose serious threats to public health and contribute to antimicrobial resistance. In addressing human health concerns and remediation techniques, this review critically evaluates conventional methods for removing ECs from complex matrices. The diverse physiochemical properties of surrounding environments facilitate the partitioning of ECs into sediments and other organic phases, resulting in carcinogenic, teratogenic, and estrogenic effects through active catalytic interactions and mechanisms mediated by aryl hydrocarbon receptors. The proactive toxicity of ECs mixture complexation and, in part, the yet-to-be-identified environmental mixtures of ECs represent a blind spot in current literature, necessitating conceptual frameworks for assessing the toxicity and risks with individual components and mixtures. Lastly, this review concludes with an in-depth exploration of future scopes, knowledge gaps, and challenges, emphasizing the need for a concerted effort in managing ECs and other organic pollutants.
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Affiliation(s)
- Jayaraman Sethuraman Sudarsan
- School of Energy and Environment, NICMAR (National Institute of Construction Management and Research) University, Pune 411045, India
| | - Kanika Dogra
- School of Advanced Engineering, UPES, Dehradun, Uttarakhand 248007, India
| | - Rakesh Kumar
- Department of Biosystems Engineering, Auburn University, Auburn, AL 36849, USA
| | - Nirav P Raval
- Department of Environmental Science and Engineering, School of Engineering and Sciences, SRM University-AP, Andhra Pradesh 522 240, India
| | - Mats Leifels
- Division Water Quality and Health, Karl Landsteiner University for Health Sciences, Dr.-Karl-Dorrek-Strasse 30, 3500 Krems an der Donau, Austria
| | - Santanu Mukherjee
- School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Solan 173229, India.
| | - Mrugesh H Trivedi
- Department of Earth and Environmental Science, KSKV Kachchh University, Bhuj-Kachchh, Gujarat 370001, India
| | - Mayur Shirish Jain
- Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, 453552, India
| | - Jian Zang
- School of Civil Engineering, Chongqing University, Chongqing, China
| | - Damià Barceló
- School of Advanced Engineering, UPES, Dehradun, Uttarakhand 248007, India; Chemistry and Physics Department, University of Almeria, Ctra Sacramento s/n, 04120, Almería, Spain
| | - Jürgen Mahlknecht
- Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Monterey, Monterrey, Nuevo Leon 64849, Mexico
| | - Manish Kumar
- School of Advanced Engineering, UPES, Dehradun, Uttarakhand 248007, India; Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Monterey, Monterrey, Nuevo Leon 64849, Mexico.
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9
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Xu L, Ceolotto N, Jagadeesan K, Standerwick R, Robertson M, Barden R, Kasprzyk-Hordern B. Antimicrobials and antimicrobial resistance genes in the shadow of COVID-19 pandemic: A wastewater-based epidemiology perspective. WATER RESEARCH 2024; 257:121665. [PMID: 38692256 DOI: 10.1016/j.watres.2024.121665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 03/21/2024] [Accepted: 04/21/2024] [Indexed: 05/03/2024]
Abstract
Higher usage of antimicrobial agents in both healthcare facilities and the communities has resulted in an increased spread of resistant bacteria. However, the improved infection prevention and control practices may also contribute to decreasing antimicrobial resistance (AMR). In the present study, wastewater-based epidemiology (WBE) approach was applied to explore the link between COVID-19 and the community usage of antimicrobials, as well as the prevalence of resistance genes. Longitudinal study has been conducted to monitor the levels of 50 antimicrobial agents (AAs), 24 metabolites, 5 antibiotic resistance genes (ARGs) and class 1 integrons (intI 1) in wastewater influents in 4 towns/cities over two years (April 2020 - March 2022) in the South-West of England (a total of 1,180 samples collected with 87,320 individual AA measurements and 8,148 ARG measurements). Results suggested higher loads of AAs and ARGs in 2021-22 than 2020-21, with beta-lactams, quinolones, macrolides and most ARGs showing statistical differences. In particular, the intI 1 gene (a proxy of environmental ARG pollution) showed a significant increase after the ease of the third national lockdown in England. Positive correlations for all quantifiable parent AAs and metabolites were observed, and consumption vs direct disposal of unused AAs has been identified via WBE. This work can help establish baselines for AMR status in communities, providing community-wide surveillance and evidence for informing public health interventions. Overall, studies focused on AMR from the start of the pandemic to the present, especially in the context of environmental settings, are of great importance to further understand the long-term impact of the pandemic on AMR.
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Affiliation(s)
- Like Xu
- Department of Chemistry, University of Bath, Bath BA2 7AY, UK
| | - Nicola Ceolotto
- Department of Chemistry, University of Bath, Bath BA2 7AY, UK; Institute for Sustainability, University of Bath, Bath BA2 7AY, UK
| | | | | | | | - Ruth Barden
- Wessex Water Service Ltd., Claverton Down, Bath BA2 7WW, UK
| | - Barbara Kasprzyk-Hordern
- Department of Chemistry, University of Bath, Bath BA2 7AY, UK; Institute for Sustainability, University of Bath, Bath BA2 7AY, UK.
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10
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Ceolotto N, Jagadeesan K, Xu L, Standerwick R, Robertson M, Barden R, Barnett J, Kasprzyk-Hordern B. Assessment of restriction measures implemented during COVID pandemics on community lifestyle choices via wastewater-based epidemiology. JOURNAL OF HAZARDOUS MATERIALS 2024; 471:134264. [PMID: 38640675 DOI: 10.1016/j.jhazmat.2024.134264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/21/2024]
Abstract
SARS-CoV-2 pandemic affected lifestyle habits, and the mental health and wellbeing of people around the world. In this manuscript, two towns (Paulton and Radstock) and two cities (Bath and Bristol) in Southwest England (> 1 million people) were monitored for two years using Wastewater-Based Epidemiology to assess impacts of COVID (including management measures such as lockdowns and movement restrictions) on community lifestyle choices: illicit drugs, legal stimulants, abused pharmaceuticals and pain pharma usage. Results were triangulated with key dates captured during the pandemic (national lockdowns, restrictions and social distancing measures, etc.). This highlighted a reduction in cocaine intake (as benzoylecgonine) (community average: -36 %) during the first lockdown and an increase in illicit drugs usage after the 3rd national lockdown (community averages for amphetamine: +8 %, cocaine/benzoylecgonine: +39 %, ketamine:+70 %) when restrictions were removed, and social interaction and recreational activities increased. There was a reduction in the intake of caffeine (as 1,7-dimethylxanthine) (community average:-39 %) after 3rd national lockdown coinciding with pubs reopening while nicotine intake (via cotinine) remained stable indicating lack of impact of COVID on smoking habits. Pain pharma often used in pain management resulting from injuries linked with sport activities (naproxen and diclofenac) showed decrease in usage due to lockdown restrictions in physical exercise and access to gyms/sport facilities.
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Affiliation(s)
- Nicola Ceolotto
- Department of Chemistry, University of Bath, Bath BA2 7AY, UK; Institute for Sustainability, University of Bath, Bath BA2 7AY, UK
| | | | - Like Xu
- Department of Chemistry, University of Bath, Bath BA2 7AY, UK
| | - Richard Standerwick
- Wessex Water, Bath BA2 7WW, UK; Environment Agency, Horizon House, Deanery Road, Bristol, UK
| | | | | | - Julie Barnett
- Department of Psychology, University of Bath, Bath BA2 7AY, UK
| | - Barbara Kasprzyk-Hordern
- Department of Chemistry, University of Bath, Bath BA2 7AY, UK; Institute for Sustainability, University of Bath, Bath BA2 7AY, UK.
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11
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Schmiege D, Haselhoff T, Thomas A, Kraiselburd I, Meyer F, Moebus S. Small-scale wastewater-based epidemiology (WBE) for infectious diseases and antibiotic resistance: A scoping review. Int J Hyg Environ Health 2024; 259:114379. [PMID: 38626689 DOI: 10.1016/j.ijheh.2024.114379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/25/2024] [Accepted: 04/08/2024] [Indexed: 04/18/2024]
Abstract
Wastewater analysis can serve as a source of public health information. In recent years, wastewater-based epidemiology (WBE) has emerged and proven useful for the detection of infectious diseases. However, insights from the wastewater treatment plant do not allow for the small-scale differentiation within the sewer system that is needed to analyze the target population under study in more detail. Small-scale WBE offers several advantages, but there has been no systematic overview of its application. The aim of this scoping review is to provide a comprehensive overview of the current state of knowledge on small-scale WBE for infectious diseases, including methodological considerations for its application. A systematic database search was conducted, considering only peer-reviewed articles. Data analyses included quantitative summary and qualitative narrative synthesis. Of 2130 articles, we included 278, most of which were published since 2020. The studies analyzed wastewater at the building level (n = 203), especially healthcare (n = 110) and educational facilities (n = 80), and at the neighborhood scale (n = 86). The main analytical parameters were viruses (n = 178), notably SARS-CoV-2 (n = 161), and antibiotic resistance (ABR) biomarkers (n = 99), often analyzed by polymerase chain reaction (PCR), with DNA sequencing techniques being less common. In terms of sampling techniques, active sampling dominated. The frequent lack of detailed information on the specification of selection criteria and the characterization of the small-scale sampling sites was identified as a concern. In conclusion, based on the large number of studies, we identified several methodological considerations and overarching strategic aspects for small-scale WBE. An enabling environment for small-scale WBE requires inter- and transdisciplinary knowledge sharing across countries. Promoting the adoption of small-scale WBE will benefit from a common international conceptualization of the approach, including standardized and internationally accepted terminology. In particular, the development of good WBE practices for different aspects of small-scale WBE is warranted. This includes the establishment of guidelines for a comprehensive characterization of the local sewer system and its sub-sewersheds, and transparent reporting to ensure comparability of small-scale WBE results.
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Affiliation(s)
- Dennis Schmiege
- Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130, Essen, Germany.
| | - Timo Haselhoff
- Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130, Essen, Germany
| | - Alexander Thomas
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131, Essen, Germany
| | - Ivana Kraiselburd
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131, Essen, Germany
| | - Folker Meyer
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131, Essen, Germany
| | - Susanne Moebus
- Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130, Essen, Germany
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12
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Mtetwa HN, Amoah ID, Kumari S, Bux F, Reddy P. Optimisation of analytical methods for tuberculosis drug detection in wastewater: A multinational study. Heliyon 2024; 10:e30720. [PMID: 38770326 PMCID: PMC11103419 DOI: 10.1016/j.heliyon.2024.e30720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/25/2024] [Accepted: 05/02/2024] [Indexed: 05/22/2024] Open
Abstract
Wastewater-based epidemiology (WBE) is a robust tool for disease surveillance and monitoring of pharmaceutical consumption. However, monitoring tuberculosis (TB) drug consumption faces challenges due to limited data availability. This study aimed to optimise methods for detecting TB drugs in treated and untreated wastewater from four African countries: South Africa, Nigeria, Kenya, and Cameroon. The limit of detection (LOD) for these drugs ranged from a minimum of 2.20 (±1.02) for rifampicin to a maximum of 2.95 (±0.79) for pyrazinamide. A parallel trend was observed concerning the limit of quantification (LOQ), with rifampicin reporting the lowest average LOQ of 7.33 (±3.44) and pyrazinamide showing the highest average LOQ of 9.81 (±2.64). The variance in LOD and LOQ values could be attributed to factors such as drug polarity. Erythromycin and rifampicin exhibited moderately polar LogP values (2.6 and 2.95), indicating higher lipid affinity and lower water affinity. Conversely, ethambutol, pyrazinamide, and isoniazid displayed polar LogP values (-0.059, -0.6, and -0.7), suggesting lower lipid affinity and greater water affinity. The study revealed that storing wastewater samples for up to 5 days did not result in significant drug concentration loss, with concentration reduction remaining below 1 log throughout the storage period. Application of the optimised method for drug detection and quantification in both treated and untreated wastewater unveiled varied results. Detection frequencies varied among drugs, with ethambutol consistently most detected, while pyrazinamide and isoniazid were least detected in wastewater from only two countries. Most untreated wastewater samples had undetectable drug concentrations, ranging from 1.21 ng/mL for erythromycin to 54.61 ng/mL for isoniazid. This variability may suggest differences in drug consumption within connected communities. In treated wastewater samples, detectable drug concentrations ranged from 1.27 ng/mL for isoniazid to 10.20 ng/mL for ethambutol. Wastewater treatment plants exhibited variable removal efficiencies for different drugs, emphasising the need for further optimisation. Detecting these drugs in treated wastewater suggests potential surface water contamination and subsequent risks of human exposure, underscoring continued research's importance.
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Affiliation(s)
- Hlengiwe N. Mtetwa
- Department of Community Health Studies, Faculty of Health Sciences, Durban University of Technology, PO Box 1334, Durban, 4000, South Africa
- Institute for Water and Wastewater Technology (IWWT), Durban University of Technology, PO Box 1334, Durban, 4000, South Africa
| | - Isaac D. Amoah
- The University of Arizona, The Department of Environmental Science, Shantz Building Rm 4291177 E 4th St, Tucson, AZ, 85721, USA
| | - Sheena Kumari
- Institute for Water and Wastewater Technology (IWWT), Durban University of Technology, PO Box 1334, Durban, 4000, South Africa
| | - Faizal Bux
- Institute for Water and Wastewater Technology (IWWT), Durban University of Technology, PO Box 1334, Durban, 4000, South Africa
| | - Poovendhree Reddy
- Department of Community Health Studies, Faculty of Health Sciences, Durban University of Technology, PO Box 1334, Durban, 4000, South Africa
- Institute for Water and Wastewater Technology (IWWT), Durban University of Technology, PO Box 1334, Durban, 4000, South Africa
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13
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Adams C, Bias M, Welsh RM, Webb J, Reese H, Delgado S, Person J, West R, Shin S, Kirby A. The National Wastewater Surveillance System (NWSS): From inception to widespread coverage, 2020-2022, United States. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 924:171566. [PMID: 38461979 PMCID: PMC11103741 DOI: 10.1016/j.scitotenv.2024.171566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/05/2024] [Accepted: 03/05/2024] [Indexed: 03/12/2024]
Abstract
Wastewater surveillance is a valuable tool that can be used to track infectious diseases in a community. In September 2020, the Centers for Disease Control and Prevention (CDC) established the National Wastewater Surveillance System (NWSS) to coordinate and build the nation's capacity to detect and quantify concentrations of SARS-CoV-2 RNA in U.S. wastewater. This is the first surveillance summary of NWSS, covering September 1, 2020 to December 31, 2022. Through partnerships with state, tribal, local, and territorial health departments, NWSS became a national surveillance platform that can be readily expanded and adapted to meet changing public health needs. Beginning with 209 sampling sites in September 2020, NWSS rapidly expanded to >1500 sites by December 2022, covering ≈47 % of the U.S. population. As of December 2022, >152,000 unique wastewater samples have been collected by NWSS partners, primarily from wastewater treatment plants (WWTPs). WWTPs participating in NWSS tend to be larger than the average U.S. WWTP and serve more populated communities. In December 2022, ≈8 % of the nearly 16,000 U.S. WWTPs were participating in NWSS. NWSS partners used a variety of methods for sampling and testing wastewater samples; however, progress is being made to standardize these methods. In July 2021, NWSS partners started submitting SARS-CoV-2 genome sequencing data to NWSS. In October 2022, NWSS expanded to monkeypox virus testing, with plans to include additional infectious disease targets in the future. Through the rapid implementation and expansion of NWSS, important lessons have been learned. Wastewater surveillance programs should consider both surge and long-term capacities when developing an implementation plan, and early standardization of sampling and testing methods is important to facilitate data comparisons across sites. NWSS has proven to be a flexible and sustainable surveillance system that will continue to be a useful complement to case-based surveillance for guiding public health action.
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Affiliation(s)
- Carly Adams
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA; Epidemic Intelligence Service, Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA.
| | - Megan Bias
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - Rory M Welsh
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - Jenna Webb
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - Heather Reese
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - Stephen Delgado
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - John Person
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - Rachel West
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - Soo Shin
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
| | - Amy Kirby
- Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
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14
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Folkes M, Castro-Gutierrez V, Lundy L, Bajón-Fernández Y, Soares A, Jeffrey P, Hassard F. Campus source to sink wastewater surveillance of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). CURRENT RESEARCH IN MICROBIAL SCIENCES 2024; 6:100240. [PMID: 38774836 PMCID: PMC11106825 DOI: 10.1016/j.crmicr.2024.100240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024] Open
Abstract
Wastewater-based surveillance (WBS) offers an aggregate, and cost-effective approach for tracking infectious disease outbreak prevalence within communities, that provides data on community health complementary to individual clinical testing. This study reports on a 16-month WBS initiative on a university campus in England, UK, assessing the presence of SARS-CoV-2 in sewers from large buildings, downstream sewer locations, raw wastewater, partially treated and treated effluents. Key findings include the detection of the Alpha (B.1.1.7) variant in wastewater, with 70 % of confirmed campus cases correlating with positive wastewater samples. Notably, ammonium nitrogen (NH4-N) levels showed a positive correlation (ρ = 0.543, p < 0.01) with virus levels at the large building scale, a relationship not observed at the sewer or wastewater treatment works (WWTW) levels due to dilution. The WWTW was compliant to wastewater standards, but the secondary treatment processes were not efficient for virus removal as SARS-CoV-2 was consistently detected in treated discharges. Tools developed through WBS can also be used to enhance traditional environmental monitoring of aquatic systems. This study provides a detailed source-to-sink evaluation, emphasizing the critical need for the widespread application and improvement of WBS. It showcases WBS utility and reinforces the ongoing challenges posed by viruses to receiving water quality.
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Affiliation(s)
- M. Folkes
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - V.M. Castro-Gutierrez
- Center for Research on Environmental Pollution (CICA), Universidad de Costa Rica, Montes de Oca, 11501, Costa Rica
| | - L. Lundy
- Department of Natural Sciences, Middlesex University, NW4 4BT, UK
| | - Y. Bajón-Fernández
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - A. Soares
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - P. Jeffrey
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - F. Hassard
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
- Institute for Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Johannesburg, South Africa
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15
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Sutcliffe SG, Kraemer SA, Ellmen I, Knapp JJ, Overton AK, Nash D, Nissimov JI, Charles TC, Dreifuss D, Topolsky I, Baykal PI, Fuhrmann L, Jablonski KP, Beerenwinkel N, Levy JI, Olabode AS, Becker DG, Gugan G, Brintnell E, Poon AF, Valieris R, Drummond RD, Defelicibus A, Dias-Neto E, Rosales RA, Tojal da Silva I, Orfanou A, Psomopoulos F, Pechlivanis N, Pipes L, Chen Z, Baaijens JA, Baym M, Shapiro BJ. Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data. Microb Genom 2024; 10:001249. [PMID: 38785221 PMCID: PMC11165662 DOI: 10.1099/mgen.0.001249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/18/2024] [Indexed: 05/25/2024] Open
Abstract
Wastewater-based surveillance (WBS) is an important epidemiological and public health tool for tracking pathogens across the scale of a building, neighbourhood, city, or region. WBS gained widespread adoption globally during the SARS-CoV-2 pandemic for estimating community infection levels by qPCR. Sequencing pathogen genes or genomes from wastewater adds information about pathogen genetic diversity, which can be used to identify viral lineages (including variants of concern) that are circulating in a local population. Capturing the genetic diversity by WBS sequencing is not trivial, as wastewater samples often contain a diverse mixture of viral lineages with real mutations and sequencing errors, which must be deconvoluted computationally from short sequencing reads. In this study we assess nine different computational tools that have recently been developed to address this challenge. We simulated 100 wastewater sequence samples consisting of SARS-CoV-2 BA.1, BA.2, and Delta lineages, in various mixtures, as well as a Delta-Omicron recombinant and a synthetic 'novel' lineage. Most tools performed well in identifying the true lineages present and estimating their relative abundances and were generally robust to variation in sequencing depth and read length. While many tools identified lineages present down to 1 % frequency, results were more reliable above a 5 % threshold. The presence of an unknown synthetic lineage, which represents an unclassified SARS-CoV-2 lineage, increases the error in relative abundance estimates of other lineages, but the magnitude of this effect was small for most tools. The tools also varied in how they labelled novel synthetic lineages and recombinants. While our simulated dataset represents just one of many possible use cases for these methods, we hope it helps users understand potential sources of error or bias in wastewater sequencing analysis and to appreciate the commonalities and differences across methods.
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Affiliation(s)
- Steven G. Sutcliffe
- Department of Microbiology and Immunology, McGill University, Montreal, QC, Canada
| | - Susanne A. Kraemer
- Department of Microbiology and Immunology, McGill University, Montreal, QC, Canada
- Environment and Climate Change Canada, Montreal, QC, Canada
| | - Isaac Ellmen
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
| | | | | | - Delaney Nash
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
| | | | | | - David Dreifuss
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, BS, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, VD, Switzerland
| | - Ivan Topolsky
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, BS, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, VD, Switzerland
| | - Pelin I. Baykal
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, BS, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, VD, Switzerland
| | - Lara Fuhrmann
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, BS, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, VD, Switzerland
| | - Kim P. Jablonski
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, BS, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, VD, Switzerland
| | - Niko Beerenwinkel
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, BS, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, VD, Switzerland
| | - Joshua I. Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Abayomi S. Olabode
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - Devan G. Becker
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - Gopi Gugan
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - Erin Brintnell
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - Art F.Y. Poon
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - Renan Valieris
- Computational Biology, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | | | | | | | | | | | - Aspasia Orfanou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001, Thessaloníki, Greece
| | - Fotis Psomopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001, Thessaloníki, Greece
| | - Nikolaos Pechlivanis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001, Thessaloníki, Greece
| | - Lenore Pipes
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Zihao Chen
- School of Mathematical Sciences, Peking University, Beijing, BJ, PR China
| | - Jasmijn A. Baaijens
- Delft University of Technology, Delft, ZH, Netherlands
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Michael Baym
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - B. Jesse Shapiro
- Department of Microbiology and Immunology, McGill University, Montreal, QC, Canada
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16
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Lee CS, Wang M, Nanjappa D, Lu YT, Meliker J, Clouston S, Gobler CJ, Venkatesan AK. Monitoring of over-the-counter (OTC) and COVID-19 treatment drugs complement wastewater surveillance of SARS-CoV-2. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:448-456. [PMID: 38052940 PMCID: PMC11222153 DOI: 10.1038/s41370-023-00613-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 10/25/2023] [Accepted: 11/13/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND The application of wastewater-based epidemiology to track the outbreak and prevalence of coronavirus disease (COVID-19) in communities has been tested and validated by several researchers across the globe. However, the RNA-based surveillance has its inherent limitations and uncertainties. OBJECTIVE This study aims to complement the ongoing wastewater surveillance efforts by analyzing other chemical biomarkers in wastewater to help assess community response (hospitalization and treatment) during the pandemic (2020-2021). METHODS Wastewater samples (n = 183) were collected from the largest wastewater treatment facility in Suffolk County, NY, USA and analyzed for COVID-19 treatment drugs (remdesivir, chloroquine, and hydroxychloroquine (HCQ)) and their human metabolites. We additionally monitored 26 pharmaceuticals including common over-the-counter (OTC) drugs. Lastly, we developed a Bayesian model that uses viral RNA, COVID-19 treatment drugs, and pharmaceuticals data to predict the confirmed COVID-19 cases within the catchment area. RESULTS The viral RNA levels in wastewater tracked the actual COVID-19 case numbers well as expected. COVID-19 treatment drugs were detected with varying frequency (9-100%) partly due to their instability in wastewater. We observed a significant correlation (R = 0.30, p < 0.01) between the SARS-CoV-2 genes and desethylhydroxychloroquine (DHCQ, metabolite of HCQ). Remdesivir levels peaked immediately after the Emergency Use Authorization approved by the FDA. Although, 13 out of 26 pharmaceuticals assessed were consistently detected (DF = 100%, n = 111), only acetaminophen was significantly correlated with viral loads, especially when the Omicron variant was dominant. The Bayesian models were capable of reproducing the temporal trend of the confirmed cases. IMPACT In this study, for the first time, we measured COVID-19 treatment and pharmaceutical drugs and their metabolites in wastewater to complement ongoing COVID-19 viral RNA surveillance efforts. Our results highlighted that, although the COVID-19 treatment drugs were not very stable in wastewater, their detection matched with usage trends in the community. Acetaminophen, an OTC drug, was significantly correlated with viral loads and confirmed cases, especially when the Omicron variant was dominant. A Bayesian model was developed which could predict COVID-19 cases more accurately when incorporating other drugs data along with viral RNA levels in wastewater.
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Affiliation(s)
- Cheng-Shiuan Lee
- New York State Center for Clean Water Technology, Stony Brook University, Stony Brook, NY, 11794, USA
- Research Center for Environmental Changes, Academia Sinica, Taipei, 11529, Taiwan
| | - Mian Wang
- New York State Center for Clean Water Technology, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Deepak Nanjappa
- New York State Center for Clean Water Technology, Stony Brook University, Stony Brook, NY, 11794, USA
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Yi-Ta Lu
- Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany
| | - Jaymie Meliker
- Program in Public Health, Department of Family, Population & Preventive Medicine, Stony Brook University Medical Center, Stony Brook, NY, 11794, USA
| | - Sean Clouston
- Program in Public Health, Department of Family, Population & Preventive Medicine, Stony Brook University Medical Center, Stony Brook, NY, 11794, USA
| | - Christopher J Gobler
- New York State Center for Clean Water Technology, Stony Brook University, Stony Brook, NY, 11794, USA
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Arjun K Venkatesan
- New York State Center for Clean Water Technology, Stony Brook University, Stony Brook, NY, 11794, USA.
- Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
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17
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Dlamini M, Msolo L, Ehi Ebomah K, Nontongana N, Ifeanyi Okoh A. A systematic review on the incidence of influenza viruses in wastewater matrices: Implications for public health. PLoS One 2024; 19:e0291900. [PMID: 38662758 PMCID: PMC11045120 DOI: 10.1371/journal.pone.0291900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/05/2024] [Indexed: 04/28/2024] Open
Abstract
Influenza viruses pose a significant public health threat, necessitating comprehensive surveillance strategies to enhance early detection and preventive measures. This systematic review investigates the incidence of influenza viruses in wastewater matrices, aiming to elucidate the potential implications for public health. The study synthesizes existing literature, employing rigorous inclusion criteria to identify relevant studies conducted globally. The essence of the problem lies in the gaps of traditional surveillance methods, which often rely on clinical data and may underestimate the true prevalence of influenza within communities. Wastewater-based epidemiology offers a novel approach to supplementing these conventional methods, providing a broader and more representative assessment of viral circulation. This review systematically examines the methodologies employed in the selected studies, including virus concentration techniques and molecular detection methods, to establish a standardized framework for future research. Our findings reveal a consistent presence of influenza viruses in diverse wastewater matrices across different geographic locations and seasons. Recommendations for future research include the standardization of sampling protocols, improvement of virus concentration methods, and the integration of wastewater surveillance into existing public health frameworks. In conclusion, this systematic review contributes to the understanding of influenza dynamics in wastewater matrices, offering valuable insights for public health practitioners and policymakers. Implementation of wastewater surveillance alongside traditional methods can enhance the resilience of public health systems and better prepare communities for the challenges posed by influenza outbreaks.
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Affiliation(s)
- Mbasa Dlamini
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, South Africa
- Department of Biochemistry and Microbiology, Applied and Environmental Microbiology Research Group (AEMREG), University of Fort Hare, Alice, South Africa
| | - Luyanda Msolo
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, South Africa
- Department of Biochemistry and Microbiology, Applied and Environmental Microbiology Research Group (AEMREG), University of Fort Hare, Alice, South Africa
| | - Kingsley Ehi Ebomah
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, South Africa
- Department of Biochemistry and Microbiology, Applied and Environmental Microbiology Research Group (AEMREG), University of Fort Hare, Alice, South Africa
| | - Nolonwabo Nontongana
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, South Africa
- Department of Biochemistry and Microbiology, Applied and Environmental Microbiology Research Group (AEMREG), University of Fort Hare, Alice, South Africa
| | - Anthony Ifeanyi Okoh
- SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, South Africa
- Department of Biochemistry and Microbiology, Applied and Environmental Microbiology Research Group (AEMREG), University of Fort Hare, Alice, South Africa
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Salemane K, Coetzee LZ, Pocock G, Genthe B, Taylor MB, Mans J. Water-Based Epidemiological Investigation of Hepatitis E Virus in South Africa. FOOD AND ENVIRONMENTAL VIROLOGY 2024:10.1007/s12560-024-09596-1. [PMID: 38613652 DOI: 10.1007/s12560-024-09596-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 03/08/2024] [Indexed: 04/15/2024]
Abstract
Hepatitis E virus (HEV) is an emerging zoonotic pathogen that exhibits great host diversity. The primary means of transmission of the virus in low- and middle-income countries is contaminated water, often due to a lack of access to proper sanitation, which leads to faecal contamination of water sources. Environmental surveillance is an important tool that can be used to monitor virus circulation and as an early warning system for outbreaks. This study was conducted to determine the prevalence and genetic diversity of HEV in wastewater, surface water (rivers and standpipe/ablution water), and effluent from a piggery in South Africa. A total of 536 water samples were screened for HEV using real-time reverse transcription-polymerase chain reaction. Overall, 21.8% (117/536) of the wastewater, river, and ablution water samples tested positive for HEV, whereas 74.4% (29/39) of the samples from the piggery tested positive. Genotyping revealed sequences belonging to HEV genotypes 3 (98%, 53/54) and 4 (2%, 1/54), with subtypes 3c, 3f, and 4b being identified.
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Affiliation(s)
- Karabo Salemane
- Department of Medical Virology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Private Bag X323, Gezina, Pretoria, 0031, South Africa
| | - Leanne Z Coetzee
- , Waterlab, Techno Park, 23B De Havilland Cres, Persequor, Pretoria, 0020, South Africa
| | - Gina Pocock
- , Waterlab, Techno Park, 23B De Havilland Cres, Persequor, Pretoria, 0020, South Africa
| | - Bettina Genthe
- Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, 7602, South Africa
| | - Maureen B Taylor
- Department of Medical Virology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Private Bag X323, Gezina, Pretoria, 0031, South Africa
| | - Janet Mans
- Department of Medical Virology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Private Bag X323, Gezina, Pretoria, 0031, South Africa.
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19
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Hotta C, Fujinuma Y, Ogawa T, Akita M, Ogawa T. Surveillance of Wastewater to Monitor the Prevalence of Gastroenteritis Viruses in Chiba Prefecture (2014-2019). J Epidemiol 2024; 34:195-202. [PMID: 37211397 PMCID: PMC10918334 DOI: 10.2188/jea.je20220305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 04/11/2023] [Indexed: 05/23/2023] Open
Abstract
BACKGROUND In Japan, sentinel surveillance is used to monitor the trend of infectious gastroenteritis. Another method of pathogen surveillance, wastewater-based epidemiology, has been used recently because it can help to monitor infectious disease without relying on patient data. Here, we aimed to determine the viral trends reflected in the number of reported patients and number of gastroenteritis virus-positive samples. We focused on gastroenteritis viruses present in wastewater and investigated the usefulness of wastewater surveillance for the surveillance of infectious gastroenteritis. METHODS Real-time polymerase chain reaction was used for viral gene detection in wastewater. The number of reported patients per pediatric sentinel site and number of viral genome copies were compared for correlation potential. The number of gastroenteritis virus-positive samples reported by National Epidemiological Surveillance of Infectious Disease (NESID) and the status of gastroenteritis viruses detected in wastewater were also evaluated. RESULTS Genes of norovirus genotype I, norovirus genotype II, sapovirus, astrovirus, rotavirus group A, and rotavirus group C were detected in wastewater samples. Viruses were detected in wastewater during periods when no gastroenteritis virus-positive samples were reported to NESID. CONCLUSION Norovirus genotype II and other gastroenteritis viruses were detected in wastewater even during periods when no gastroenteritis virus-positive samples were found. Therefore, surveillance using wastewater can complement sentinel surveillance and is an effective tool for the surveillance of infectious gastroenteritis.
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Affiliation(s)
- Chiemi Hotta
- Division of Virology and Medical Zoology, Chiba Prefectural Institute of Public Health, Chiba, Japan
| | - Yuki Fujinuma
- Division of Virology and Medical Zoology, Chiba Prefectural Institute of Public Health, Chiba, Japan
| | - Takashi Ogawa
- Division of Virology and Medical Zoology, Chiba Prefectural Institute of Public Health, Chiba, Japan
| | - Mamiko Akita
- Division of Virology and Medical Zoology, Chiba Prefectural Institute of Public Health, Chiba, Japan
| | - Tomoko Ogawa
- Division of Virology and Medical Zoology, Chiba Prefectural Institute of Public Health, Chiba, Japan
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20
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Baboun J, Beaudry IS, Castro LM, Gutierrez F, Jara A, Rubio B, Verschae J. Identifying outbreaks in sewer networks: An adaptive sampling scheme under network's uncertainty. Proc Natl Acad Sci U S A 2024; 121:e2316616121. [PMID: 38551839 PMCID: PMC10998606 DOI: 10.1073/pnas.2316616121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 02/21/2024] [Indexed: 04/02/2024] Open
Abstract
Motivated by the implementation of a SARS-Cov-2 sewer surveillance system in Chile during the COVID-19 pandemic, we propose a set of mathematical and algorithmic tools that aim to identify the location of an outbreak under uncertainty in the network structure. Given an upper bound on the number of samples we can take on any given day, our framework allows us to detect an unknown infected node by adaptively sampling different network nodes on different days. Crucially, despite the uncertainty of the network, the method allows univocal detection of the infected node, albeit at an extra cost in time. This framework relies on a specific and well-chosen strategy that defines new nodes to test sequentially, with a heuristic that balances the granularity of the information obtained from the samples. We extensively tested our model in real and synthetic networks, showing that the uncertainty of the underlying graph only incurs a limited increase in the number of iterations, indicating that the methodology is applicable in practice.
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Affiliation(s)
- José Baboun
- Facultad de Matemáticas y Facultad de Ingeniería, Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago7820436, Chile
| | - Isabelle S. Beaudry
- Mount Holyoke College, Department of Mathematics and Statistics, South Hadley, MA01075
| | - Luis M. Castro
- Department of Statistics, and MiDaS - Center for the Discovery of Structures in Complex Data, Pontificia Universidad Católica de Chile, Santiago7820436, Chile
| | - Felipe Gutierrez
- Department of Computer Sciences, and MiDaS - Center for the Discovery of Structures in Complex Data, Pontificia Universidad Católica de Chile, Santiago7820436, Chile
| | - Alejandro Jara
- Department of Statistics, and MiDaS - Center for the Discovery of Structures in Complex Data, Pontificia Universidad Católica de Chile, Santiago7820436, Chile
| | - Benjamin Rubio
- Facultad de Matemáticas y Facultad de Ingeniería, Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago7820436, Chile
| | - José Verschae
- Facultad de Matemáticas y Facultad de Ingeniería, Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago7820436, Chile
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21
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Zeng X, He W, Shi Q, Guo H, He C, Shi Q, Sandanayake S, Vithanage M. Seasonal sensitivity of groundwater dissolved organic matter in recognition of chronic kidney disease of unknown etiology: Optical and molecular perspectives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170813. [PMID: 38336064 DOI: 10.1016/j.scitotenv.2024.170813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024]
Abstract
Chronic kidney disease of unknown etiology (CKDu) has aroused a great concern due to its widespread prevalence in many developing countries. Dissolved organic matter (DOM) has been proved to be associated with CKDu in groundwater. However, the responses of their association to abiotic influencing factors like seasonal variation are not carefully disclosed. Herein, we revealed the seasonal variation of DOM in CKDu related groundwater (CKDu groundwater) and control group (non-CKDu groundwater) collected from Sri Lanka during the dry and wet seasons by excitation-emission matrix spectroscopy and Fourier transform ion cyclotron resonance mass spectrometry. In both CKDu and non-CKDu groundwaters, the input of exogenous DOM during wet season improved the degree of humification and molecular weight of DOM, while oxidative processes during the dry season increased the ratios of oxygen to carbon (O/C). Furthermore, compared with non-CKDu groundwater, more DOM with high O/C enriched in CKDu groundwater during the dry season, indicating stronger oxidative processes in CKDu groundwater. It may result in the enrichment of carboxyl group and induce the enhanced leaching of CKDu-related Si and F-. The receiver operating characteristic (ROC) analysis showed that the CKDu-recognition ability of most optical and molecular indicators was susceptible to seasonal factors and their recognition abilities were stronger in the wet season. The linkage between DOM and CKDu was affected by seasonal factors through the occurrence, mobility, degradation, and toxicity of typical organic molecules (e.g., C17H18O10S). The study provides a new insight into screening pathogenic factors of other endemic diseases related to organic molecules.
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Affiliation(s)
- Xianjiang Zeng
- Ministry of Education Key Laboratory of Groundwater Circulation and Environmental Evolution, School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences (Beijing), Beijing, China
| | - Wei He
- Ministry of Education Key Laboratory of Groundwater Circulation and Environmental Evolution, School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, China.
| | - Qiutong Shi
- Ministry of Education Key Laboratory of Groundwater Circulation and Environmental Evolution, School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences (Beijing), Beijing, China
| | - Huaming Guo
- Ministry of Education Key Laboratory of Groundwater Circulation and Environmental Evolution, School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences (Beijing), Beijing, China.
| | - Chen He
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China
| | - Quan Shi
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China
| | - Sandun Sandanayake
- Ecosphere Resilience Research Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Meththika Vithanage
- Ecosphere Resilience Research Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka; Molecular Microbiology and Human Diseases, National Institute of Fundamental Studies, Kandy, Sri Lanka
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22
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Mullins N, Alashraf AR, McDermott K, Brown RS, Payne SJ. Polyethylenimine mediated recovery of SARS-CoV-2 and total viral RNA: Impact of aqueous conditions on behaviour and recovery. WATER RESEARCH 2024; 253:121207. [PMID: 38401469 DOI: 10.1016/j.watres.2024.121207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/28/2023] [Accepted: 01/26/2024] [Indexed: 02/26/2024]
Abstract
Wastewater-based epidemiology (WBE) is an emerging, practical surveillance tool for monitoring community levels of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, SC2). However, a paucity of data exists regarding SARS-CoV-2 and viral biomarker behaviour in aqueous and wastewater environments. Therefore, there is a pressing need to develop efficient and robust methods that both improve method sensitivity and reduce time and cost. We present a novel method for SARS-CoV-2, Human Coronavirus 229E (229E), and Pepper Mild Mottle Virus (PMMoV) recovery utilizing surface charge-based attraction via the branched cationic polymer, polyethylenimine (PEI). Initially, dose-optimization experiments demonstrated that low concentrations of PEI (0.001% w/v) proved most effective at flocculating suspended viruses and viral material, including additional unbound SC2 viral fragments and/or RNA from raw wastewater. A design-of-experiments (DOE) approach was used to optimize virus and/or viral material aggregation behaviour and recovery across varying aqueous conditions, revealing pH as a major influence on recoverability in this system, combinatorially due to both a reduction in viral material surface charge and increased protonation of PEI-bound amine groups. Overall, this method has shown great promise in significantly improving quantitative viral recovery, providing a straightforward and effective augmentation to standard centrifugation techniques.
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Affiliation(s)
- Nathan Mullins
- Queen's University, Department of Civil Engineering, Kingston, Ontario, K7L 3N6, Canada; McMaster University, Department of Chemical Engineering, Hamilton, Ontario, L8S 4L7, Canada
| | - Abdul Rahman Alashraf
- Queen's University, Department of Civil Engineering, Kingston, Ontario, K7L 3N6, Canada; Queen's University, Beaty Water Research Centre, Department of Civil Engineering, Kingston, Ontario, K7L 3N6, Canada
| | | | - R Stephen Brown
- Queen's University, Department of Chemistry and School of Environmental Studies, Kingston, Ontario, K7L 3N6, Canada; Queen's University, Beaty Water Research Centre, Department of Civil Engineering, Kingston, Ontario, K7L 3N6, Canada.
| | - Sarah Jane Payne
- Queen's University, Department of Civil Engineering, Kingston, Ontario, K7L 3N6, Canada; Queen's University, Beaty Water Research Centre, Department of Civil Engineering, Kingston, Ontario, K7L 3N6, Canada.
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23
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Holland SC, Smith MF, Holland LA, Maqsood R, Hu JC, Murugan V, Driver EM, Halden RU, Lim ES. Human adenovirus outbreak at a university campus monitored by wastewater and clinical surveillance. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.27.24304990. [PMID: 38586006 PMCID: PMC10996756 DOI: 10.1101/2024.03.27.24304990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Areas of dense population congregation are prone to experience respiratory virus outbreaks. We monitored wastewater and clinic patients for the presence of respiratory viruses on a large, public university campus. Campus sewer systems were monitored in 16 locations for the presence of viruses using next generation sequencing over 22 weeks in 2023. During this period, we detected a surge in human adenovirus (HAdV) levels in wastewater. Hence, we initiated clinical surveillance at an on-campus clinic from patients presenting with acute respiratory infection. From whole genome sequencing of 123 throat and/or nasal swabs collected, we identified an outbreak of HAdV, specifically of HAdV-E4 and HAdV-B7 genotypes overlapping in time. The temporal dynamics and proportions of HAdV genotypes found in wastewater were corroborated in clinical infections. We tracked specific single nucleotide polymorphisms (SNPs) found in clinical virus sequences and showed that they arose in wastewater signals concordant with the time of clinical presentation, linking community transmission of HAdV to the outbreak. This study demonstrates how wastewater-based epidemiology can be integrated with surveillance at ambulatory healthcare settings to monitor areas prone to respiratory virus outbreaks and provide public health guidance.
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Affiliation(s)
- Steven C. Holland
- Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Matthew F. Smith
- Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - LaRinda A. Holland
- Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Rabia Maqsood
- Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - James C. Hu
- Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Vel Murugan
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Erin M. Driver
- Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Rolf U. Halden
- Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Efrem S. Lim
- Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- National Centre for Infectious Diseases, Singapore
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24
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Toribio-Avedillo D, Gómez-Gómez C, Sala-Comorera L, Galofré B, Muniesa M. Adapted methods for monitoring influenza virus and respiratory syncytial virus in sludge and wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170636. [PMID: 38331285 DOI: 10.1016/j.scitotenv.2024.170636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/10/2024] [Accepted: 01/31/2024] [Indexed: 02/10/2024]
Abstract
Wastewater-based surveillance constitutes a valuable methodology for the continuous monitoring of viral circulation, with the capacity to function as an early warning system. It holds particular significance in scenarios where respiratory viruses exhibit overlapping clinical presentations, as occurs with SARS-CoV-2, influenza virus (IV), and respiratory syncytial virus (RSV), and allows seasonal virus outbreaks to be distinguished from COVID-19 peaks. Furthermore, sewage sludge, given it harbors concentrated human waste from a large population, serves as a substantial reservoir for pathogen detection. To effectively integrate wastewater-based epidemiology into infectious disease surveillance, the detection methods employed in wastewater samples must be adapted to the distinct characteristics of sludge matrices. In this study, we adapted and applied protocols for the detection of IV and RSV in sewage sludge, comparing their performance with the results obtained in wastewater. To assess the efficiency of these protocols, sludge and wastewater samples were spiked with IV and RSV RNA, either free or incorporated in lentiviral particles. Samples were concentrated using the aluminum hydroxide adsorption-precipitation method before viral RNA extraction. Absolute virus quantification was carried out by RT-qPCR, including an internal control to monitor potential inhibitory factors. Recovery efficiencies for both free IV and RSV RNA were 60 % in sludge, and 75 % and 71 % respectively in wastewater, whereas the values for IV and RSV RNA in lentiviral particles were 16 % and 10 % in sludge and 21 % and 17 % in wastewater respectively. Additionally, the protocol enabled the quantification of naturally occurring IV and RSV in wastewater and sludge samples collected from two wastewater treatment plants during the winter months, thus affirming the efficacy of the employed methodologies.
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Affiliation(s)
- Daniel Toribio-Avedillo
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643 Annex, Floor 0, E-08028 Barcelona, Spain
| | - Clara Gómez-Gómez
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643 Annex, Floor 0, E-08028 Barcelona, Spain
| | - Laura Sala-Comorera
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643 Annex, Floor 0, E-08028 Barcelona, Spain
| | - Belén Galofré
- Aigües de Barcelona, Empresa Metropolitana de Gestió del Cicle Integral de l'Aigua, General Batet 1-7, Barcelona 08028, Spain
| | - Maite Muniesa
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643 Annex, Floor 0, E-08028 Barcelona, Spain.
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25
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Velazquez-Meza ME, Galarde-López M, Cornejo-Juárez P, Carrillo-Quiroz BA, Velázquez-Acosta C, Bobadilla-del-Valle M, Ponce-de-León A, Alpuche-Aranda CM. Multidrug-Resistant Staphylococcus sp. and Enterococcus sp. in Municipal and Hospital Wastewater: A Longitudinal Study. Microorganisms 2024; 12:645. [PMID: 38674590 PMCID: PMC11051902 DOI: 10.3390/microorganisms12040645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 03/12/2024] [Accepted: 03/22/2024] [Indexed: 04/28/2024] Open
Abstract
The objective of the study was to detect multidrug-resistant Staphylococcus sp. and Enterococcus sp. isolates in municipal and hospital wastewater and to determine their elimination or persistence after wastewater treatment. Between August 2021 and September 2022, raw and treated wastewater samples were collected at two hospital and two community wastewater treatment plants (WWTPs). In each season of the year, two treated and two raw wastewater samples were collected in duplicate at each of the WWTPs studied. Screening and presumptive identification of staphylococci and enterococci was performed using chromoagars, and identification was performed with the Matrix Assisted Laser Desorption Ionization Time of Flight mass spectrometry (MALDI-TOF MS®). Antimicrobial susceptibility was performed using VITEK 2® automated system. There were 56 wastewater samples obtained during the study period. A total of 182 Staphylococcus sp. and 248 Enterococcus sp. were identified. The highest frequency of Staphylococcus sp. isolation was in spring and summer (n = 129, 70.8%), and for Enterococcus sp. it was in autumn and winter (n = 143, 57.7%). Sixteen isolates of Staphylococcus sp. and sixty-three of Enterococcus sp. persisted during WWTP treatments. Thirteen species of staphylococci and seven species of enterococci were identified. Thirty-one isolates of Staphylococcus sp. and ninety-four of Enterococcus sp. were multidrug-resistant. Resistance to vancomycin (1.1%), linezolid (2.7%), and daptomycin (8.2%/10.9%%), and a lower susceptibility to tigecycline (2.7%), was observed. This study evidences the presence of Staphylococcus sp. and Enterococcus sp. resistant to antibiotics of last choice of clinical treatment, in community and hospital wastewater and their ability to survive WWTP treatment systems.
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Affiliation(s)
- Maria Elena Velazquez-Meza
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca City 62100, Mexico; (M.E.V.-M.); (M.G.-L.); (B.A.C.-Q.)
| | - Miguel Galarde-López
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca City 62100, Mexico; (M.E.V.-M.); (M.G.-L.); (B.A.C.-Q.)
| | - Patricia Cornejo-Juárez
- Departamento de Infectología, Instituto Nacional de Cancerología, Mexico City 14080, Mexico; (P.C.-J.); (C.V.-A.)
| | - Berta Alicia Carrillo-Quiroz
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca City 62100, Mexico; (M.E.V.-M.); (M.G.-L.); (B.A.C.-Q.)
| | - Consuelo Velázquez-Acosta
- Departamento de Infectología, Instituto Nacional de Cancerología, Mexico City 14080, Mexico; (P.C.-J.); (C.V.-A.)
| | - Miriam Bobadilla-del-Valle
- Laboratorio Nacional de Máxima Seguridad para el Estudio de Tuberculosis y Enfermedades Emergentes, Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”, Mexico City 14080, Mexico; (M.B.-d.-V.); (A.P.-d.-L.)
| | - Alfredo Ponce-de-León
- Laboratorio Nacional de Máxima Seguridad para el Estudio de Tuberculosis y Enfermedades Emergentes, Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”, Mexico City 14080, Mexico; (M.B.-d.-V.); (A.P.-d.-L.)
| | - Celia Mercedes Alpuche-Aranda
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca City 62100, Mexico; (M.E.V.-M.); (M.G.-L.); (B.A.C.-Q.)
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26
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Bemmelen JV, Smyth DS, Baaijens JA. Amplidiff: an optimized amplicon sequencing approach to estimating lineage abundances in viral metagenomes. BMC Bioinformatics 2024; 25:126. [PMID: 38521945 PMCID: PMC10960382 DOI: 10.1186/s12859-024-05735-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 03/08/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Metagenomic profiling algorithms commonly rely on genomic differences between lineages, strains, or species to infer the relative abundances of sequences present in a sample. This observation plays an important role in the analysis of diverse microbial communities, where targeted sequencing of 16S and 18S rRNA, both well-known hypervariable genomic regions, have led to insights into microbial diversity and the discovery of novel organisms. However, the variable nature of discriminatory regions can also act as a double-edged sword, as the sought-after variability can make it difficult to design primers for their amplification through PCR. Moreover, the most variable regions are not necessarily the most informative regions for the purpose of differentiation; one should focus on regions that maximize the number of lineages that can be distinguished. RESULTS Here we present AmpliDiff, a computational tool that simultaneously finds highly discriminatory genomic regions in viral genomes of a single species, as well as primers allowing for the amplification of these regions. We show that regions and primers found by AmpliDiff can be used to accurately estimate relative abundances of SARS-CoV-2 lineages, for example in wastewater sequencing data. We obtain errors that are comparable with using whole genome information to estimate relative abundances. Furthermore, our results show that AmpliDiff is robust against incomplete input data and that primers designed by AmpliDiff also bind to genomes sampled months after the primers were selected. CONCLUSIONS With AmpliDiff we provide an effective, cost-efficient alternative to whole genome sequencing for estimating lineage abundances in viral metagenomes.
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Affiliation(s)
- Jasper van Bemmelen
- Intelligent Systems Department, Delft University of Technology, Delft, Netherlands
| | - Davida S Smyth
- Department of Natural Sciences, Texas A &M University-San Antonio, San Antonio, TX, USA
| | - Jasmijn A Baaijens
- Intelligent Systems Department, Delft University of Technology, Delft, Netherlands.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
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27
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Rauch W, Schenk H, Rauch N, Harders M, Oberacher H, Insam H, Markt R, Kreuzinger N. Estimating actual SARS-CoV-2 infections from secondary data. Sci Rep 2024; 14:6732. [PMID: 38509181 PMCID: PMC10954653 DOI: 10.1038/s41598-024-57238-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/15/2024] [Indexed: 03/22/2024] Open
Abstract
Eminent in pandemic management is accurate information on infection dynamics to plan for timely installation of control measures and vaccination campaigns. Despite huge efforts in diagnostic testing of individuals, the underestimation of the actual number of SARS-CoV-2 infections remains significant due to the large number of undocumented cases. In this paper we demonstrate and compare three methods to estimate the dynamics of true infections based on secondary data i.e., (a) test positivity, (b) infection fatality and (c) wastewater monitoring. The concept is tested with Austrian data on a national basis for the period of April 2020 to December 2022. Further, we use the results of prevalence studies from the same period to generate (upper and lower bounds of) credible intervals for true infections for four data points. Model parameters are subsequently estimated by applying Approximate Bayesian Computation-rejection sampling and Genetic Algorithms. The method is then validated for the case study Vienna. We find that all three methods yield fairly similar results for estimating the true number of infections, which supports the idea that all three datasets contain similar baseline information. None of them is considered superior, as their advantages and shortcomings depend on the specific case study at hand.
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Affiliation(s)
- Wolfgang Rauch
- Unit of Environmental Engineering, Department of Infrastructure, University of Innsbruck, Technikerstrasse 13, 6020, Innsbruck, Austria.
| | - Hannes Schenk
- Unit of Environmental Engineering, Department of Infrastructure, University of Innsbruck, Technikerstrasse 13, 6020, Innsbruck, Austria
| | - Nikolaus Rauch
- Interactive Graphics and Simulation Group, University of Innsbruck, Innsbruck, Austria
| | - Matthias Harders
- Interactive Graphics and Simulation Group, University of Innsbruck, Innsbruck, Austria
| | - Herbert Oberacher
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck, Innsbruck, Austria
| | - Heribert Insam
- Department of Microbiology, University of Innsbruck, Technikerstrasse 25, 6020, Innsbruck, Austria
| | - Rudolf Markt
- Department of Health Sciences and Social Work, Carinthia University of Applied Sciences, Villach, Austria
| | - Norbert Kreuzinger
- Institute of Water Quality and Resource Management, Technical University Vienna, Vienna, Austria
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Zamarreño JM, Torres-Franco AF, Gonçalves J, Muñoz R, Rodríguez E, Eiros JM, García-Encina P. Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170367. [PMID: 38278261 DOI: 10.1016/j.scitotenv.2024.170367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 01/20/2024] [Accepted: 01/20/2024] [Indexed: 01/28/2024]
Abstract
Global efforts in vaccination have led to a decrease in COVID-19 mortality but a high circulation of SARS-CoV-2 is still observed in several countries, resulting in some cases of severe lockdowns. In this sense, wastewater-based epidemiology remains a powerful tool for supporting regional health administrations in assessing risk levels and acting accordingly. In this work, a dynamic artificial neural network (DANN) has been developed for predicting the number of COVID-19 hospitalized patients in hospitals in Valladolid (Spain). This model takes as inputs a wastewater epidemiology indicator for COVID-19 (concentration of RNA from SARS-CoV-2 N1 gene reported from Valladolid Wastewater Treatment Plant), vaccination coverage, and past data of hospitalizations. The model considered both the instantaneous values of these variables and their historical evolution. Two study periods were selected (from May 2021 until September 2022 and from September 2022 to July 2023). During the first period, accurate predictions of hospitalizations (with an overall range between 6 and 171) were favored by the correlation of this indicator with N1 concentrations in wastewater (r = 0.43, p < 0.05), showing accurate forecasting for 1 day ahead and 5 days ahead. The second period's retraining strategy maintained the overall accuracy of the model despite lower hospitalizations. Furthermore, risk levels were assigned to each 1 day ahead prediction during the first and second periods, showing agreement with the level measured and reported by regional health authorities in 95 % and 93 % of cases, respectively. These results evidenced the potential of this novel DANN model for predicting COVID-19 hospitalizations based on SARS-CoV-2 wastewater concentrations at a regional scale. The model architecture herein developed can support regional health authorities in COVID-19 risk management based on wastewater-based epidemiology.
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Affiliation(s)
- Jesús M Zamarreño
- Institute of Sustainable Processes, Dr. Mergelina, s/n, 47011 Valladolid, Spain; Department of System Engineering and Automatic Control, School of Industrial Engineering, Universidad de Valladolid, C/ Dr. Mergelina s/n, 47011 Valladolid, Spain.
| | - Andrés F Torres-Franco
- Institute of Sustainable Processes, Dr. Mergelina, s/n, 47011 Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, Universidad de Valladolid, C/ Dr. Mergelina, s/n, 47011 Valladolid, Spain.
| | - José Gonçalves
- Institute of Sustainable Processes, Dr. Mergelina, s/n, 47011 Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, Universidad de Valladolid, C/ Dr. Mergelina, s/n, 47011 Valladolid, Spain
| | - Raúl Muñoz
- Institute of Sustainable Processes, Dr. Mergelina, s/n, 47011 Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, Universidad de Valladolid, C/ Dr. Mergelina, s/n, 47011 Valladolid, Spain
| | - Elisa Rodríguez
- Institute of Sustainable Processes, Dr. Mergelina, s/n, 47011 Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, Universidad de Valladolid, C/ Dr. Mergelina, s/n, 47011 Valladolid, Spain
| | - José María Eiros
- Microbiology Service, Hospital Universitario Río Hortega, Gerencia Regional de Salud, Paseo de Zorrilla 1, 47007 Valladolid, Spain
| | - Pedro García-Encina
- Institute of Sustainable Processes, Dr. Mergelina, s/n, 47011 Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, Universidad de Valladolid, C/ Dr. Mergelina, s/n, 47011 Valladolid, Spain
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29
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Shen Y, Luo J, Di Cesare A, Guo N, Zou S, Yang Y. Performance evaluation for the inactivation of multidrug-resistant bacteria in wastewater effluent by different disinfection technologies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 345:123427. [PMID: 38286262 DOI: 10.1016/j.envpol.2024.123427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 12/21/2023] [Accepted: 01/21/2024] [Indexed: 01/31/2024]
Abstract
The escalating presence of antibiotic-resistant bacteria (ARB) in aquatic ecosystems underscores the critical role of wastewater treatment plants (WWTPs) in mitigating antibiotic resistance. Disinfection is the final, pivotal step in WWTPs, and it is essential to control the dissemination of ARB before water discharge. This study utilized both phenotypic analysis and transcriptome (RNA-seq) approach to investigate the efficiency and mechanisms of disinfection using chlorination, ultraviolet (UV), and peracetic acid (PAA) on multidrug-resistant bacteria (MRB). Our results demonstrated that the use of 100 mg min L-1 of chlorine, 8.19 mJ cm-2 of UV irradiation or 50 min mg L-1 of PAA significantly reduced the abundance of MRB. Intriguingly, RNA-seq clarified distinct mechanisms of chlorination and UV disinfection. UV radiation triggered the SOS response to cope with DNA damage, induced the expression of multi-drug resistance genes by increasing the expression of efflux pump transporters. UV radiation also promoted the absorption of iron through chelation and transportation to participate in various cell life processes. Chlorination, on the other hand, significantly up-regulated osmotic response elements, including the synthesis of glycine betaine, iron-sulfur clusters, and related transporters. Both chlorination and UV significantly down-regulated key metabolic pathways (P < 0.05), inhibiting the process of amino acid synthesis and energy metabolism. Imbalance in energy homeostasis was the most important factor leading to cytotoxicity. These results provide useful insights into optimizing the wastewater disinfection process in order to prevent the dissemination of ARB in aquatic environment.
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Affiliation(s)
- Yijing Shen
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, 519082, China
| | - Jieling Luo
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China
| | - Andrea Di Cesare
- National Research Council of Italy - Water Research Institute (CNR-IRSA) Molecular Ecology Group (MEG), Verbania, 28922, Italy
| | - Nairong Guo
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, 519082, China
| | - Shichun Zou
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, 519082, China
| | - Ying Yang
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, 519082, China.
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30
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Parkins MD, Lee BE, Acosta N, Bautista M, Hubert CRJ, Hrudey SE, Frankowski K, Pang XL. Wastewater-based surveillance as a tool for public health action: SARS-CoV-2 and beyond. Clin Microbiol Rev 2024; 37:e0010322. [PMID: 38095438 PMCID: PMC10938902 DOI: 10.1128/cmr.00103-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2024] Open
Abstract
Wastewater-based surveillance (WBS) has undergone dramatic advancement in the context of the coronavirus disease 2019 (COVID-19) pandemic. The power and potential of this platform technology were rapidly realized when it became evident that not only did WBS-measured SARS-CoV-2 RNA correlate strongly with COVID-19 clinical disease within monitored populations but also, in fact, it functioned as a leading indicator. Teams from across the globe rapidly innovated novel approaches by which wastewater could be collected from diverse sewersheds ranging from wastewater treatment plants (enabling community-level surveillance) to more granular locations including individual neighborhoods and high-risk buildings such as long-term care facilities (LTCF). Efficient processes enabled SARS-CoV-2 RNA extraction and concentration from the highly dilute wastewater matrix. Molecular and genomic tools to identify, quantify, and characterize SARS-CoV-2 and its various variants were adapted from clinical programs and applied to these mixed environmental systems. Novel data-sharing tools allowed this information to be mobilized and made immediately available to public health and government decision-makers and even the public, enabling evidence-informed decision-making based on local disease dynamics. WBS has since been recognized as a tool of transformative potential, providing near-real-time cost-effective, objective, comprehensive, and inclusive data on the changing prevalence of measured analytes across space and time in populations. However, as a consequence of rapid innovation from hundreds of teams simultaneously, tremendous heterogeneity currently exists in the SARS-CoV-2 WBS literature. This manuscript provides a state-of-the-art review of WBS as established with SARS-CoV-2 and details the current work underway expanding its scope to other infectious disease targets.
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Affiliation(s)
- Michael D. Parkins
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Bonita E. Lee
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Nicole Acosta
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Maria Bautista
- Department of Biological Sciences, Faculty of Science, University of Calgary, Calgary, Alberta, Canada
| | - Casey R. J. Hubert
- Department of Biological Sciences, Faculty of Science, University of Calgary, Calgary, Alberta, Canada
| | - Steve E. Hrudey
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Kevin Frankowski
- Advancing Canadian Water Assets, University of Calgary, Calgary, Alberta, Canada
| | - Xiao-Li Pang
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
- Provincial Health Laboratory, Alberta Health Services, Calgary, Alberta, Canada
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31
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Li G, Diggle P, Blangiardo M. Integrating wastewater and randomised prevalence survey data for national COVID surveillance. Sci Rep 2024; 14:5124. [PMID: 38429366 PMCID: PMC10907376 DOI: 10.1038/s41598-024-55752-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 02/27/2024] [Indexed: 03/03/2024] Open
Abstract
During the COVID-19 pandemic, studies in a number of countries have shown how wastewater can be used as an efficient surveillance tool to detect outbreaks at much lower cost than traditional prevalence surveys. In this study, we consider the utilisation of wastewater data in the post-pandemic setting, in which collection of health data via national randomised prevalence surveys will likely be run at a reduced scale; hence an affordable ongoing surveillance system will need to combine sparse prevalence data with non-traditional disease metrics such as wastewater measurements in order to estimate disease progression in a cost-effective manner. Here, we use data collected during the pandemic to model the dynamic relationship between spatially granular wastewater viral load and disease prevalence. We then use this relationship to nowcast local disease prevalence under the scenario that (i) spatially granular wastewater data continue to be collected; (ii) direct measurements of prevalence are only available at a coarser spatial resolution, for example at national or regional scale. The results from our cross-validation study demonstrate the added value of wastewater data in improving nowcast accuracy and reducing nowcast uncertainty. Our results also highlight the importance of incorporating prevalence data at a coarser spatial scale when nowcasting prevalence at fine spatial resolution, calling for the need to maintain some form of reduced-scale national prevalence surveys in non-epidemic periods. The model framework is disease-agnostic and could therefore be adapted to different diseases and incorporated into a multiplex surveillance system for early detection of emerging local outbreaks.
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Affiliation(s)
- Guangquan Li
- Applied Statistics Research Group, Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
- Turing-RSS Health Data Lab, London, UK.
| | - Peter Diggle
- Lancaster University, Lancaster, LA1 4YW, UK
- Turing-RSS Health Data Lab, London, UK
| | - Marta Blangiardo
- MRC Centre for Environment and Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
- Turing-RSS Health Data Lab, London, UK
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32
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Saleem MH, Mfarrej MFB, Khan KA, Alharthy SA. Emerging trends in wastewater treatment: Addressing microorganic pollutants and environmental impacts. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 913:169755. [PMID: 38176566 DOI: 10.1016/j.scitotenv.2023.169755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 01/06/2024]
Abstract
This review focuses on the challenges and advances associated with the treatment and management of microorganic pollutants, encompassing pesticides, industrial chemicals, and persistent organic pollutants (POPs) in the environment. The translocation of these contaminants across multiple media, particularly through atmospheric transport, emphasizes their pervasive nature and the subsequent ecological risks. The urgency to develop cost-effective remediation strategies for emerging organic contaminants is paramount. As such, wastewater-based epidemiology and the increasing concern over estrogenicity are explored. By incorporating conventional and innovative wastewater treatment techniques, this article highlights the integration of environmental management strategies, analytical methodologies, and the importance of renewable energy in waste treatment. The primary objective is to provide a comprehensive perspective on the current scenario, imminent threats, and future directions in mitigating the effects of these pollutants on the environment. Furthermore, the review underscores the need for international collaboration in developing standardized guidelines and policies for monitoring and controlling these microorganic pollutants. It advocates for increased investment in research and development of advanced materials and technologies that can efficiently remove or neutralize these contaminants, thereby safeguarding environmental health and promoting sustainable practice.
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Affiliation(s)
- Muhammad Hamzah Saleem
- Office of Academic Research, Office of VP for Research & Graduate Studies, Qatar University, Doha 2713, Qatar.
| | - Manar Fawzi Bani Mfarrej
- Department of Life and Environmental Sciences, College of Natural and Health Sciences, Zayed University, Abu Dhabi 144534, United Arab Emirates.
| | - Khalid Ali Khan
- Applied College, Center of Bee Research and its Products, Unit of Bee Research and Honey Production, and Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia.
| | - Saif A Alharthy
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. Box 80216, Jeddah 21589, Saudi Arabia; Toxicology and Forensic Sciences Unit, King Fahd Medical Research Center, King Abdulaziz University, P.O. Box 80216, Jeddah 21589, Saudi Arabia.
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33
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Dehghan Banadaki M, Torabi S, Rockward A, Strike WD, Noble A, Keck JW, Berry SM. Simple SARS-CoV-2 concentration methods for wastewater surveillance in low resource settings. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168782. [PMID: 38000737 PMCID: PMC10842712 DOI: 10.1016/j.scitotenv.2023.168782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/18/2023] [Accepted: 11/20/2023] [Indexed: 11/26/2023]
Abstract
Wastewater-based epidemiology (WBE) measures pathogens in wastewater to monitor infectious disease prevalence in communities. Due to the high dilution of pathogens in sewage, a concentration method is often required to achieve reliable biomarker signals. However, most of the current concentration methods rely on expensive equipment and labor-intensive processes, which limits the application of WBE in low-resource settings. Here, we compared the performance of four inexpensive and simple concentration methods to detect SARS-CoV-2 in wastewater samples: Solid Fraction, Porcine Gastric Mucin-conjugated Magnetic Beads, Calcium Flocculation-Citrate Dissolution (CFCD), and Nanotrap® Magnetic Beads (NMBs). The NMBs and CFCD methods yielded the highest concentration performance for SARS-CoV-2 (∼16-fold concentration and ∼ 41 % recovery) and require <45 min processing time. CFCD has a relatively low consumable cost (<$2 per four sample replicates). All methods can be performed with basic laboratory equipment and minimal electricity usage which enables further application of WBE in remote areas and low resource settings.
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Affiliation(s)
| | - Soroosh Torabi
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, United States
| | - Alexus Rockward
- Department of Biomedical Engineering, College of Engineering, University of Kentucky, United States
| | - William D Strike
- Department of Biomedical Engineering, College of Engineering, University of Kentucky, United States
| | - Ann Noble
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, United States
| | - James W Keck
- WWAMI School of Medicine, University of Alaska Anchorage, United States
| | - Scott M Berry
- Department of Mechanical Engineering, College of Engineering, University of Kentucky, United States; Department of Biomedical Engineering, College of Engineering, University of Kentucky, United States.
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34
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Nasser-Ali M, Aja-Macaya P, Conde-Pérez K, Trigo-Tasende N, Rumbo-Feal S, Fernández-González A, Bou G, Poza M, Vallejo JA. Emergence of Carbapenemase Genes in Gram-Negative Bacteria Isolated from the Wastewater Treatment Plant in A Coruña, Spain. Antibiotics (Basel) 2024; 13:194. [PMID: 38391580 PMCID: PMC10886265 DOI: 10.3390/antibiotics13020194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/06/2024] [Accepted: 02/15/2024] [Indexed: 02/24/2024] Open
Abstract
Wastewater treatment plants (WWTPs) are recognized as important niches of antibiotic-resistant bacteria that can be easily spread to the environment. In this study, we collected wastewater samples from the WWTP of A Coruña (NW Spain) from April 2020 to February 2022 to evaluate the presence of Gram-negative bacteria harboring carbapenemase genes. Bacteria isolated from wastewater were classified and their antimicrobial profiles were determined. In total, 252 Gram-negative bacteria carrying various carbapenemase genes were described. Whole-genome sequencing was conducted on 55 selected carbapenemase producing isolates using Oxford Nanopore technology. This study revealed the presence of a significant population of bacteria carrying carbapenemase genes in WWTP, which constitutes a public health problem due to their risk of dissemination to the environment. This emphasizes the usefulness of WWTP monitoring for combating antibiotic resistance. Data revealed the presence of different types of sequences harboring carbapenemase genes, such as blaKPC-2, blaGES-5, blaGES-6, blaIMP-11, blaIMP-28, blaOXA-24, blaOXA-48, blaOXA-58, blaOXA-217, and blaVIM-2. Importantly, the presence of the blaKPC-2 gene in wastewater, several months before any clinical case was detected in University Hospital of A Coruña, suggests that wastewater-based epidemiology can be used as an early warning system for the surveillance of antibiotic-resistant bacteria.
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Affiliation(s)
- Mohammed Nasser-Ali
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
| | - Pablo Aja-Macaya
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
| | - Kelly Conde-Pérez
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
| | - Noelia Trigo-Tasende
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
| | - Soraya Rumbo-Feal
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
| | - Ana Fernández-González
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
| | - Germán Bou
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
| | - Margarita Poza
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
- Microbiome and Health Group, Faculty of Sciences, Campus da Zapateira, 15071 A Coruna, Spain
| | - Juan A Vallejo
- Microbiology Research Group, Institute of Biomedical Research (INIBIC)-University Hospital of A Coruña (CHUAC)-Interdisciplinary Center for Chemistry and Biology (CICA)-University of A Coruña (UDC)-CIBER de Enfermedades Infecciosas (CIBERINFEC, ISCIII). Servicio de Microbiología, 3° planta, Edificio Sur, Hospital Universitario, As Xubias, 15006 A Coruna, Spain
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Cohen A, Vikesland P, Pruden A, Krometis LA, Lee LM, Darling A, Yancey M, Helmick M, Singh R, Gonzalez R, Meit M, Degen M, Taniuchi M. Making waves: The benefits and challenges of responsibly implementing wastewater-based surveillance for rural communities. WATER RESEARCH 2024; 250:121095. [PMID: 38181645 DOI: 10.1016/j.watres.2023.121095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/08/2023] [Accepted: 12/29/2023] [Indexed: 01/07/2024]
Abstract
The sampling and analysis of sewage for pathogens and other biomarkers offers a powerful tool for monitoring and understanding community health trends and potentially predicting disease outbreaks. Since the early months of the COVID-19 pandemic, the use of wastewater-based testing for public health surveillance has increased markedly. However, these efforts have focused on urban and peri‑urban areas. In most rural regions of the world, healthcare service access is more limited than in urban areas, and rural public health agencies typically have less disease outcome surveillance data than their urban counterparts. The potential public health benefits of wastewater-based surveillance for rural communities are therefore substantial - though so too are the methodological and ethical challenges. For many rural communities, population dynamics and insufficient, aging, and inadequately maintained wastewater collection and treatment infrastructure present obstacles to the reliable and responsible implementation of wastewater-based surveillance. Practitioner observations and research findings indicate that for many rural systems, typical implementation approaches for wastewater-based surveillance will not yield sufficiently reliable or actionable results. We discuss key challenges and potential strategies to address them. However, to support and expand the implementation of responsible, reliable, and ethical wastewater-based surveillance for rural communities, best practice guidelines and standards are needed.
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Affiliation(s)
- Alasdair Cohen
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
| | - Peter Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Amy Pruden
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Leigh-Anne Krometis
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Lisa M Lee
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Division of Scholarly Integrity and Research Compliance, Virginia Tech, Blacksburg, VA 24061, USA
| | - Amanda Darling
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Michelle Yancey
- Virginia Department of Health, Office of Environmental Health Services, Richmond, VA 23219, USA
| | - Meagan Helmick
- Virginia Department of Health, Mount Rogers Health District, Marion, VA 24354, USA
| | - Rekha Singh
- Virginia Department of Health, Office of Environmental Health Services, Richmond, VA 23219, USA; Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, VA 23529, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, Virginia Beach, VA 23455, USA
| | - Michael Meit
- Center for Rural Health Research, East Tennessee State University, Johnson City, TN 37614, USA
| | - Marcia Degen
- Virginia Department of Health, Office of Environmental Health Services, Richmond, VA 23219, USA
| | - Mami Taniuchi
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA; Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22908, USA; Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA
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36
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Armenta-Castro A, Núñez-Soto MT, Rodriguez-Aguillón KO, Aguayo-Acosta A, Oyervides-Muñoz MA, Snyder SA, Barceló D, Saththasivam J, Lawler J, Sosa-Hernández JE, Parra-Saldívar R. Urine biomarkers for Alzheimer's disease: A new opportunity for wastewater-based epidemiology? ENVIRONMENT INTERNATIONAL 2024; 184:108462. [PMID: 38335627 DOI: 10.1016/j.envint.2024.108462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/16/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
While Alzheimer's disease (AD) diagnosis, management, and care have become priorities for healthcare providers and researcher's worldwide due to rapid population aging, epidemiologic surveillance efforts are currently limited by costly, invasive diagnostic procedures, particularly in low to middle income countries (LMIC). In recent years, wastewater-based epidemiology (WBE) has emerged as a promising tool for public health assessment through detection and quantification of specific biomarkers in wastewater, but applications for non-infectious diseases such as AD remain limited. This early review seeks to summarize AD-related biomarkers and urine and other peripheral biofluids and discuss their potential integration to WBE platforms to guide the first prospective efforts in the field. Promising results have been reported in clinical settings, indicating the potential of amyloid β, tau, neural thread protein, long non-coding RNAs, oxidative stress markers and other dysregulated metabolites for AD diagnosis, but questions regarding their concentration and stability in wastewater and the correlation between clinical levels and sewage circulation must be addressed in future studies before comprehensive WBE systems can be developed.
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Affiliation(s)
| | - Mónica T Núñez-Soto
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Kassandra O Rodriguez-Aguillón
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Alberto Aguayo-Acosta
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Mariel Araceli Oyervides-Muñoz
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Shane A Snyder
- Nanyang Environment & Water Research Institute (NEWRI), Nanyang Technological University, Singapore
| | - Damià Barceló
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Jordi Girona, 18-26, 08034 Barcelona, Spain; Sustainability Cluster, School of Engineering at the UPES, Dehradun, Uttarakhand, India
| | - Jayaprakash Saththasivam
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Jenny Lawler
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Juan Eduardo Sosa-Hernández
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico.
| | - Roberto Parra-Saldívar
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
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Corrin T, Rabeenthira P, Young KM, Mathiyalagan G, Baumeister A, Pussegoda K, Waddell LA. A scoping review of human pathogens detected in untreated human wastewater and sludge. JOURNAL OF WATER AND HEALTH 2024; 22:436-449. [PMID: 38421635 PMCID: wh_2024_326 DOI: 10.2166/wh.2024.326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Wastewater monitoring is an approach to identify the presence or abundance of pathogens within a population. The objective of this scoping review (ScR) was to identify and characterize research on human pathogens and antimicrobial resistance detected in untreated human wastewater and sludge. A search was conducted up to March 2023 and standard ScR methodology was followed. This ScR included 1,722 articles, of which 56.5% were published after the emergence of COVID-19. Viruses and bacteria were commonly investigated, while research on protozoa, helminths, and fungi was infrequent. Articles prior to 2019 were dominated by research on pathogens transmitted through fecal-oral or waterborne pathways, whereas more recent articles have explored the detection of pathogens transmitted through other pathways such as respiratory and vector-borne. There was variation in sampling, samples, and sample processing across studies. The current evidence suggests that wastewater monitoring could be applied to a range of pathogens as a public health tool to detect an emerging pathogen and understand the burden and spread of disease to inform decision-making. Further development and refinement of the methods to identify and interpret wastewater signals for different prioritized pathogens are needed to develop standards on when, why, and how to monitor effectively.
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Affiliation(s)
- Tricia Corrin
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, 370 Speedvale Avenue West, Guelph, Ontario N1H 7M7, Canada E-mail:
| | - Prakathesh Rabeenthira
- One Health Division, National Microbiology Laboratory, Public Health Agency of Canada, 110 Stone Road, Guelph, Ontario N1G 3W4, Canada
| | - Kaitlin M Young
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, 370 Speedvale Avenue West, Guelph, Ontario N1H 7M7, Canada
| | - Gajuna Mathiyalagan
- One Health Division, National Microbiology Laboratory, Public Health Agency of Canada, 110 Stone Road, Guelph, Ontario N1G 3W4, Canada
| | - Austyn Baumeister
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, 370 Speedvale Avenue West, Guelph, Ontario N1H 7M7, Canada
| | - Kusala Pussegoda
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, 370 Speedvale Avenue West, Guelph, Ontario N1H 7M7, Canada
| | - Lisa A Waddell
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, 370 Speedvale Avenue West, Guelph, Ontario N1H 7M7, Canada
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Siri Y, Bumyut A, Precha N, Sirikanchana K, Haramoto E, Makkaew P. Multidrug antibiotic resistance in hospital wastewater as a reflection of antibiotic prescription and infection cases. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168453. [PMID: 37956835 DOI: 10.1016/j.scitotenv.2023.168453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/14/2023] [Accepted: 11/07/2023] [Indexed: 11/15/2023]
Abstract
Antimicrobial resistance (AMR) is an escalating issue that can render illnesses more difficult to treat if effective antibiotics become resistant. Many studies have explored antibiotic resistance in bacteria (ARB) in wastewater, comparing results with clinical data to ascertain the public health risk. However, few investigations have linked the prevalence of ARB in hospital wastewater (HWW) with these outcomes. This study aimed to bridge this gap by assessing the prevalence of ARB in HWW and its receiving waters. Among the 144 isolates examined, 24 were obtained from each of the six sites (untreated wastewater, aeration tank, sedimentation tank, effluent after disinfection, upstream canal, and downstream canal). A significant portion (87.5 %) belonged to the Enterobacteriaceae family, with Klebsiella pneumoniae as the predominant species (47.9 %). The antimicrobial sensitivity testing (AST) showed that 57.6 % of the isolates were resistant to amoxicillin/clavulanic acid (AMX), the most prevalent antibiotic used within the studied hospital. The total resistance rate before and after treatment was 27.7 % and 28.0 %, respectively, with an overall multi-drug resistance (MDR) rate of 33.3 %. The multiple antibiotic resistance index (MARI) range varied between 0.0 and 0.9. The outpatient ward's three-day mean bacterial infection cases showed a significant association (Spearman's rho = 0.98) with the MARI in the sedimentation tank. Moreover, a strong correlation (Spearman's rho = 0.88) was found between hospital effluent's MARI and the seven-day mean inpatient ward case. These findings indicate that applying wastewater-based epidemiology (WBE) to hospital wastewater could provide valuable insights into understanding ARB contamination across human domains and water cycles. Future studies, including more comprehensive collection data on symptomatic patients and asymptomatic carriers, will be crucial in fully unravelling the complexities between human health and environmental impacts related to AMR.
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Affiliation(s)
- Yadpiroon Siri
- Environmental, Safety Technology and Health Program, School of Public Health, Walailak University, Thaiburi, Thasala, Nakhon Si Thammarat 80160, Thailand
| | - Apirak Bumyut
- Department of Environmental Health and Technology, School of Public Health, Walailak University, Nakhon Si Thammarat 80160, Thailand; Excellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, Nakhon Si Thammarat 80160, Thailand
| | - Nopadol Precha
- Department of Environmental Health and Technology, School of Public Health, Walailak University, Nakhon Si Thammarat 80160, Thailand; Excellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, Nakhon Si Thammarat 80160, Thailand
| | - Kwanrawee Sirikanchana
- Research Laboratory of Biotechnology, Chulabhorn Research Institute, Bangkok 10210, Thailand; Center of Excellence on Environmental Health and Toxicology (EHT), OPS, MHESI, Bangkok 10400, Thailand
| | - Eiji Haramoto
- Interdisciplinary Center for River Basin Environment, University of Yamanashi, Yamanashi 400-8511, Japan
| | - Prasert Makkaew
- Department of Environmental Health and Technology, School of Public Health, Walailak University, Nakhon Si Thammarat 80160, Thailand; Excellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, Nakhon Si Thammarat 80160, Thailand.
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Yao Y, Zhu Y, Nogueira R, Klawonn F, Wallner M. Optimal Selection of Sampling Points within Sewer Networks for Wastewater-Based Epidemiology Applications. Methods Protoc 2024; 7:6. [PMID: 38251199 PMCID: PMC10801534 DOI: 10.3390/mps7010006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/19/2023] [Accepted: 01/01/2024] [Indexed: 01/23/2024] Open
Abstract
Wastewater-based epidemiology (WBE) has great potential to monitor community public health, especially during pandemics. However, it faces substantial hurdles in pathogen surveillance through WBE, encompassing data representativeness, spatiotemporal variability, population estimates, pathogen decay, and environmental factors. This paper aims to enhance the reliability of WBE data, especially for early outbreak detection and improved sampling strategies within sewer networks. The tool implemented in this paper combines a monitoring model and an optimization model to facilitate the optimal selection of sampling points within sewer networks. The monitoring model utilizes parameters such as feces density and average water consumption to define the detectability of the virus that needs to be monitored. This allows for standardization and simplicity in the process of moving from the analysis of wastewater samples to the identification of infection in the source area. The entropy-based model can select optimal sampling points in a sewer network to obtain the most specific information at a minimum cost. The practicality of our tool is validated using data from Hildesheim, Germany, employing SARS-CoV-2 as a pilot pathogen. It is important to note that the tool's versatility empowers its extension to monitor other pathogens in the future.
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Affiliation(s)
- Yao Yao
- Institute for Information Engineering, Ostfalia University of Applied Sciences, Salzdahlumer Str. 46/48, 38302 Wolfenbüttel, Germany;
| | - Yibo Zhu
- Faculty of Civil and Environmental Engineering, Ostfalia University of Applied Sciences, Herbert-Meyer-Str. 7, 29556 Suderburg, Germany; (Y.Z.); (M.W.)
| | - Regina Nogueira
- Institute of Sanitary Engineering and Waste Management, Leibniz University Hannover, Welfengarten 1, 30167 Hannover, Germany;
| | - Frank Klawonn
- Biostatistics Research Group, Helmholtz Centre for Infection Research, 38124 Braunschweig, Germany
| | - Markus Wallner
- Faculty of Civil and Environmental Engineering, Ostfalia University of Applied Sciences, Herbert-Meyer-Str. 7, 29556 Suderburg, Germany; (Y.Z.); (M.W.)
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Yin J, Geng Q, Xiao X, Wang S, Meng L, Deng N, Xu J, Su B, Chen J, Zhao W, Jin L, Zhao C. Mussel-inspired antibacterial sponge for highly efficient water purification and sterilization. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132598. [PMID: 37757561 DOI: 10.1016/j.jhazmat.2023.132598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/28/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023]
Abstract
With the current expansion of urban areas and industrial development, the increasing discharge of wastewater containing bacteria poses a threat to human health. Although substantial advancements have been made in antibacterial materials, there is still a need for an efficient method that can thoroughly remove bacteria through sterilization and adsorption during wastewater treatment. Here, we report a mussel-inspired antibacterial sponge with outstanding antibacterial efficiency exceeding 95% and a high removal ratio of the bacterial corpses for water purification after contacting for 30 min. The high-efficient antibacterial performance is attributed to the stable releasing property of Ag+ and the charge interaction with quaternary amine salts. Combining the key features, including high-efficient, synergistic mechanism, and corpse capture, the antibacterial sponge shows excellent disinfection effects. This study provides a new method for water purification without bacterial residue.
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Affiliation(s)
- Junyi Yin
- College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, PR China; Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Qikun Geng
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Shaolei Wang
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Liyang Meng
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Ningyue Deng
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Baihai Su
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Weifeng Zhao
- College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, PR China
| | - Lunqiang Jin
- College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, PR China; Department of Nephrology, West China Hospital, Sichuan University, Chengdu 610041, PR China.
| | - Changsheng Zhao
- College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, PR China.
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Kuroita T, Yoshimura A, Iwamoto R, Ando H, Okabe S, Kitajima M. Quantitative analysis of SARS-CoV-2 RNA in wastewater and evaluation of sampling frequency during the downward period of a COVID-19 wave in Japan. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:166526. [PMID: 37647962 DOI: 10.1016/j.scitotenv.2023.166526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/06/2023] [Accepted: 08/22/2023] [Indexed: 09/01/2023]
Abstract
Wastewater-based epidemiology (WBE) is a practical approach for detecting the presence of SARS-CoV-2 infections and assessing the epidemic trend of the coronavirus disease 2019 (COVID-19). The purpose of this study was to evaluate the minimum sampling frequency required to properly identify the COVID-19 trend during the downward epidemic period when using a highly sensitive RNA detection method. WBE was conducted using the Efficient and Practical virus Identification System with ENhanced Sensitivity for Solids (EPISENS-S), a highly sensitive SARS-CoV-2 RNA detection method, at nine neighboring wastewater treatment plants (WWTPs). These WWTPs were in the same prefecture in Japan, and they had different sewer types, sampling methods, and sampling frequencies. The overall detection rate of SARS-CoV-2 RNA was 97.8 % during the entire study period when the geometric means of new COVID-19 cases per 100,000 inhabitants were between 3.3 and 7.7 in each WWTP. The maximum SARS-CoV-2 RNA concentration in wastewater was 2.14 × 104 copies/L, which corresponded to pepper mild mottle virus (PMMoV)-normalized concentrations of 6.54 × 10-3. We evaluated the effect of sampling frequencies on the probability of a significant correlation with the number of newly reported COVID-19 cases by hypothetically reducing the sampling frequency in the same dataset. When the wastewater sampling frequency occurred 5, 3, 2, and 1 times per week, these results exhibited significant correlations of 100 % (5/5), 89 % (8/9), 85 % (23/27), and 48 % (13/27), respectively. To achieve significant correlation with a high probability of over 85 %, a minimum sampling frequency of twice per week is required, even if sampling methods and sewer types are different. WBE using the EPISENS-S method and a sampling frequency of more than twice a week can be used to properly monitor COVID-19 wave epidemic trends, even during downward periods.
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Affiliation(s)
- Tomohiro Kuroita
- AdvanSentinel Inc., 3-1-8, Doshomachi, Chuo-ku, Osaka 541-0045, Japan; Shionogi & Co., Ltd., 3-1-8, Doshomachi, Chuo-ku, Osaka 541-0045, Japan
| | - Akimasa Yoshimura
- Shionogi & Co., Ltd., 3-1-8, Doshomachi, Chuo-ku, Osaka 541-0045, Japan
| | - Ryo Iwamoto
- AdvanSentinel Inc., 3-1-8, Doshomachi, Chuo-ku, Osaka 541-0045, Japan; Shionogi & Co., Ltd., 3-1-8, Doshomachi, Chuo-ku, Osaka 541-0045, Japan
| | - Hiroki Ando
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Satoshi Okabe
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Masaaki Kitajima
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan.
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42
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North D, Bibby K. Comparison of viral concentration techniques for native fecal indicators and pathogens from wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167190. [PMID: 37741389 DOI: 10.1016/j.scitotenv.2023.167190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/12/2023] [Accepted: 09/16/2023] [Indexed: 09/25/2023]
Abstract
Viral pathogens are typically dilute in environmental waters, necessitating a concentration step prior to subsequent quantification or analysis. Historically, studies on viral concentration efficiency have been done by spiking known viruses into the sample; however, spike-in controls may not have the same behavior as "native" viruses exposed to environmental conditions. In this study, four concentration methods, including polyethylene glycol precipitation (PEG), skimmed milk flocculation (SMF), pH drop followed by filtration through a 0.45 μm filter (pH), and centrifugation using an Amicon filter (Amicon), were evaluated to concentrate native viral targets in wastewater. Viral targets included both indicators (crAssphage and pepper mild mottle virus) and pathogens (adenovirus, norovirus GII, human polyomavirus, and SARS-CoV-2) in addition to a bacterial marker (HF183). A non-native spike-in control was also added to compare native and spike-in recoveries. Recovery varied widely across targets and methods, ranging from 0.1 to 39.3 %. The Amicon method was the most broadly effective concentration for recovery efficiency. For the lowest-titer target, the PEG method resulted in the lowest number of non-detections, with 96.7 % positive detections for SARS-CoV-2, compared to 66.7 %, 80 %, and 76.7 % positive detections for SMF, pH, and Amicon, respectively. The non-native spike-ins chosen were only representative of a few native recovery trends, varying by both target and concentration method, and consistently under or over-estimated recovery. Overall, this study suggests the utility of including native targets in viral concentration evaluation and determining the efficiency of concentration methods for a specific target of interest.
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Affiliation(s)
- Devin North
- Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, United States
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, United States.
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43
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Ng'etich AI, Amoah ID, Bux F, Kumari S. Anthelmintic resistance in soil-transmitted helminths: One-Health considerations. Parasitol Res 2023; 123:62. [PMID: 38114766 PMCID: PMC10730643 DOI: 10.1007/s00436-023-08088-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023]
Abstract
The One-Health approach recognizes the intricate connection between human, animal, and environmental health, and that cooperative effort from various professionals provides comprehensive awareness and potential solutions for issues relating to the health of people, animals, and the environment. This approach has increasingly gained appeal as the standard strategy for tackling emerging infectious diseases, most of which are zoonoses. Treatment with anthelmintics (AHs) without a doubt minimizes the severe consequences of soil-transmitted helminths (STHs); however, evidence of anthelmintic resistance (AR) development to different helminths of practically every animal species and the distinct groups of AHs is overwhelming globally. In this regard, the correlation between the application of anthelmintic drugs in both human and animal populations and the consequent development of anthelmintic resistance in STHs within the context of a One-Health framework is explored. This review provides an overview of the major human and animal STHs, treatment of the STHs, AR development and drug-related factors contributing towards AR, One-Health and STHs, and an outline of some One-Health strategies that may be used in combating AR.
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Affiliation(s)
- Annette Imali Ng'etich
- Institute for Water and Wastewater Technology, Durban University of Technology (DUT), Durban, South Africa
| | - Isaac Dennis Amoah
- Institute for Water and Wastewater Technology, Durban University of Technology (DUT), Durban, South Africa
- Department of Environmental Science, University of Arizona, Tucson, AZ, USA
| | - Faizal Bux
- Institute for Water and Wastewater Technology, Durban University of Technology (DUT), Durban, South Africa
| | - Sheena Kumari
- Institute for Water and Wastewater Technology, Durban University of Technology (DUT), Durban, South Africa.
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Wiesner-Friedman C, Brinkman NE, Wheaton E, Nagarkar M, Hart C, Keely SP, Varughese E, Garland J, Klaver P, Turner C, Barton J, Serre M, Jahne M. Characterizing Spatial Information Loss for Wastewater Surveillance Using crAssphage: Effect of Decay, Temperature, and Population Mobility. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:20802-20812. [PMID: 38015885 DOI: 10.1021/acs.est.3c05587] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Populations contribute information about their health status to wastewater. Characterizing how that information degrades in transit to wastewater sampling locations (e.g., wastewater treatment plants and pumping stations) is critical to interpret wastewater responses. In this work, we statistically estimate the loss of information about fecal contributions to wastewater from spatially distributed populations at the census block group resolution. This was accomplished with a hydrologically and hydraulically influenced spatial statistical approach applied to crAssphage (Carjivirus communis) load measured from the influent of four wastewater treatment plants in Hamilton County, Ohio. We find that we would expect to observe a 90% loss of information about fecal contributions from a given census block group over a travel time of 10.3 h. This work demonstrates that a challenge to interpreting wastewater responses (e.g., during wastewater surveillance) is distinguishing between a distal but large cluster of contributions and a near but small contribution. This work demonstrates new modeling approaches to improve measurement interpretation depending on sewer network and wastewater characteristics (e.g., geospatial layout, temperature variability, population distribution, and mobility). This modeling can be integrated into standard wastewater surveillance methods and help to optimize sewer sampling locations to ensure that different populations (e.g., vulnerable and susceptible) are appropriately represented.
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Affiliation(s)
- Corinne Wiesner-Friedman
- Oak Ridge Institute for Science and Education, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Nichole E Brinkman
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Emily Wheaton
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Maitreyi Nagarkar
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Chloe Hart
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Scott P Keely
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Eunice Varughese
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Jay Garland
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
| | - Peter Klaver
- LimnoTech, 501 Avis Drive, Ann Arbor, Michigan 48108, United States
| | - Carrie Turner
- LimnoTech, 501 Avis Drive, Ann Arbor, Michigan 48108, United States
| | - John Barton
- Metropolitan Sewer District of Greater Cincinnati, 1081 Woodrow Street, Cincinnati, Ohio 45204, United States
| | - Marc Serre
- Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Michael Jahne
- Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States
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Ramli AH, Mohd Faudzi SM. Diarylpentanoids, the privileged scaffolds in antimalarial and anti-infectives drug discovery: A review. Arch Pharm (Weinheim) 2023; 356:e2300391. [PMID: 37806761 DOI: 10.1002/ardp.202300391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/17/2023] [Accepted: 09/18/2023] [Indexed: 10/10/2023]
Abstract
Asia is a hotspot for infectious diseases, including malaria, dengue fever, tuberculosis, and the pandemic COVID-19. Emerging infectious diseases have taken a heavy toll on public health and the economy and have been recognized as a major cause of morbidity and mortality, particularly in Southeast Asia. Infectious disease control is a major challenge, but many surveillance systems and control strategies have been developed and implemented. These include vector control, combination therapies, vaccine development, and the development of new anti-infectives. Numerous newly discovered agents with pharmacological anti-infective potential are being actively and extensively studied for their bioactivity, toxicity, selectivity, and mode of action, but many molecules lose their efficacy over time due to resistance developments. These facts justify the great importance of the search for new, effective, and safe anti-infectives. Diarylpentanoids, a curcumin derivative, have been developed as an alternative with better bioavailability and metabolism as a therapeutic agent. In this review, the mechanisms of action and potential targets of antimalarial drugs as well as the classes of antimalarial drugs are presented. The bioactivity of diarylpentanoids as a potential scaffold for a new class of anti-infectives and their structure-activity relationships are also discussed in detail.
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Affiliation(s)
- Amirah H Ramli
- Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Malaysia
| | - Siti M Mohd Faudzi
- Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Malaysia
- Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, Serdang, Malaysia
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Gholizadeh A, Khiadani M, Foroughi M, Alizade Siuki H, Mehrfar H. Wastewater treatment plants: The missing link in global One-Health surveillance and management of antibiotic resistance. J Infect Public Health 2023; 16 Suppl 1:217-224. [PMID: 37865529 DOI: 10.1016/j.jiph.2023.09.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/21/2023] [Accepted: 09/26/2023] [Indexed: 10/23/2023] Open
Abstract
INTRODUCTION As a global public health crisis, antibiotic resistance (AR) should be monitored and managed under the One-Health concept according to the World Health Organization (WHO), considering the interconnection between humans, animals, and the environment. But this approach often remains focused on human health and rarely on the environment and its compartments, especially wastewater as the main AR receptor. Wastewater treatment plants (WWTPs) not only are not designed for reliving AR but also provide appropriate conditions for enhancing AR through different mechanisms. METHODS By reviewing the research-based statistics on the inclusion of WWTPs in the One-Health/AR program crisis, this paper highlights the importance of paying attention to these hotspots, at first. Also, the importance and technical roadmap for the application of WWTPs in both surveillance and management of AR were provided. The current position of these facilities was also evaluated using strengths, weaknesses, opportunities, and threats (SWOT) analysis. In the end, the concluding knowledge gaps and research needs for future investigations were presented. RESULTS Despite the fact that wastewater matrices are the hotspot for AR dissemination, WWTPs appear under-represented in One-Health/AR literature. So, of the 414434 articles retrieved for One-Health only 1.5% (n = 6321) focused on AR and about 0.04% (n = 158) on WWTPs. The potential of WWTPs inclusion in AR surveillance has been confirmed by several studies, however, when it comes to its inclusion for management of AR, more evidence should be presented, which confirmed by SWOT results. DISCUSSION As such, WWTPs simultaneously provide opportunities for AR surveillance as it is assumed that this medium can reflect the reality of the corresponding society, and for managing unexpected crises which could impact the public. Nonetheless, there are still numerous considerations to change WWTPs role from Achilles' heel to Ajax' shield, including strengthening the research-based knowledge and conducting both surveillance and management strategies of AR under One-Health concept (One-Health/AR) in a clear straightforward framework.
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Affiliation(s)
- Abdolmajid Gholizadeh
- Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran; Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Mehdi Khiadani
- School of Engineering, Edith Cowan University, Joondalup, Perth WA, Australia
| | - Maryam Foroughi
- Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran; Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
| | - Hadi Alizade Siuki
- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran; Department of Public Health, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Hadi Mehrfar
- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
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Asadi M, Hamilton D, Shomachuk C, Oloye FF, De Lange C, Pu X, Osunla CA, Cantin J, El-Baroudy S, Mejia EM, Gregorchuk B, Becker MG, Mangat C, Brinkmann M, Jones PD, Giesy JP, McPhedran KN. Assessment of rapid wastewater surveillance for determination of communicable disease spread in municipalities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 901:166541. [PMID: 37625717 DOI: 10.1016/j.scitotenv.2023.166541] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/02/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023]
Abstract
Wastewater surveillance (WS) helps to improve the understanding of the spread of communicable diseases in communities. WS can assist public health decision-makers in the design and implementation of timely mitigation measures. There is an increased need to use reliable, cost-effective, simple, and rapid WS systems, given traditional analytical (or 'gold-standard') programs are instrument/time-intensive, and dependent on highly skilled personnel. This study investigated the application of the portable GeneXpert platform for WS of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A virus (IAV), influenza B virus (IBV), and respiratory syncytial virus (RSV). The GeneXpert system with the Xpert Xpress-SARS-CoV-2/Flu/RSV test kit uses reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to analyze wastewater samples. From September 2022 through January 2023, wastewater samples were collected from the influents of municipal wastewater treatment plants (MWTPs) of Saskatoon, Prince Albert, and North Battleford in the province of Saskatchewan, Canada. Both raw and concentrated wastewater samples were subjected to the GeneXpert analysis. Results showed that the Saskatoon wastewater viral loads were significantly correlated to Saskatchewan's influenza and COVID-19 clinical cases, with a lead time of 10 days for IAV and a lag time of 4 days for SARS-CoV-2. Additionally, the GeneXpert analysis of the three cities' wastewater samples showed that the raw WS could capture the dynamics of SARS-CoV-2 and IAV due to their correlation with concentrated WS. Interestingly, IBV loads were not detected in any wastewater samples, while the Saskatoon and Prince Albert wastewater samples collected following the 2023 holiday season (end of December and beginning of January) were positive for RSV. This study indicates that the GeneXpert has excellent potential for use in the development of an early warning system for transmissible disease in municipalities and limited-resource communities while simultaneously providing stakeholders with an efficient WS methodology.
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Affiliation(s)
- Mohsen Asadi
- Department of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Daniel Hamilton
- Department of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada
| | - Corwyn Shomachuk
- Department of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada
| | - Femi F Oloye
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Chantel De Lange
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Xia Pu
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Charles A Osunla
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Jenna Cantin
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Seba El-Baroudy
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Edgard M Mejia
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Branden Gregorchuk
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Michael G Becker
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Chand Mangat
- Wastewater Surveillance Unit, On-Health Division, National Microbiology Laboratory - Winnipeg, Public Health Agency of Canada, Canada
| | - Markus Brinkmann
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada
| | - Paul D Jones
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada
| | - John P Giesy
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Department of Veterinary Biomedical Sciences, University of Saskatchewan, Saskatoon, SK, Canada; Department of Environmental Sciences, Baylor University, Waco, TX, USA; Department of Integrative Biology and Center for Integrative Toxicology, Michigan State University, East Lansing, MI, USA
| | - Kerry N McPhedran
- Department of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada.
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Nolan TM, Sala-Comorera L, Reynolds LJ, Martin NA, Stephens JH, O'Hare GMP, O'Sullivan JJ, Meijer WG. Bacteriophages from faecal contamination are an important reservoir for AMR in aquatic environments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165490. [PMID: 37487901 DOI: 10.1016/j.scitotenv.2023.165490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/10/2023] [Accepted: 07/10/2023] [Indexed: 07/26/2023]
Abstract
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 of water bodies may lead to increased antimicrobial resistance (AMR) levels due to increased phage loading in aquatic environments. In this study, we assessed whether faecal pollution of three rivers (Rivers Liffey, Tolka, and Dodder) was responsible for increased levels of ARGs in phage particles using established phage-faecal markers, focusing on four ARGs (blaTEM, tet(O), qnrS, and sul1). We observed all four ARGs in phage fractions in all three rivers, with ARGs more frequently observed in agricultural and urban sampling sites compared to their source. These findings highlight the role of faecal pollution in environmental AMR and the impact of agricultural and urban activities on water quality. Furthermore, our results suggest the importance of including phages as indicators when assessing environmental AMR, as they serve as significant reservoirs of resistance genes in aquatic environments. This study provides important insights into the role of faecal pollution and phages in the prevalence of AMR in the environment and the need for their inclusion in future studies to provide a comprehensive understanding of environmental AMR.
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Affiliation(s)
- Tristan M Nolan
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute and UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Laura Sala-Comorera
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute and UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Liam J Reynolds
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute and UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Niamh A Martin
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute and UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Jayne H Stephens
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute and UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Gregory M P O'Hare
- School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland
| | - John J O'Sullivan
- UCD School of Civil Engineering, UCD Dooge Centre for Water Resources Research and UCD Earth Institute, University College Dublin, Dublin 4, Ireland
| | - Wim G Meijer
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute and UCD Conway Institute, University College Dublin, Dublin 4, Ireland.
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Wattanayon R, Proctor K, Jagadeesan K, Barden R, Kasprzyk-Hordern B. An integrated One Health framework for holistic evaluation of risks from antifungal agents in a large-scale multi-city study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165752. [PMID: 37499814 DOI: 10.1016/j.scitotenv.2023.165752] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/21/2023] [Accepted: 07/22/2023] [Indexed: 07/29/2023]
Abstract
A new framework for retrospective mass spectral data mining for antifungal agents (AFs) and Wastewater-Based Epidemiology (WBE) was developed as part of One Health framework to tackle risks from AFs. A large scale, multi-city study was undertaken in South-West England. Key drivers of AFs in the catchment were identified with communal wastewater discharges being the main driver for human AFs (fluconazole, ketoconazole) and agricultural runoff being the main driver for pesticide AFs (prochloraz, prothioconazole and tebuconazole). Average WBE-estimated human used fluconazole and ketoconazole PNDIs (population normalised daily intake) exceeded 300 mg day-1 1000 inh-1 and 2000 mg day-1 1000 inh-1. This is much higher than PNDPs (population normalised daily prescriptions <40 mg day-1 1000 inh-1 and <80 mg day-1 1000 inh-1 for fluconazole and ketoconazole respectively). This was expected due to both prescription and over-the-counter usage, and both oral and topical applications. Pesticide AF, prothioconazole had PNDIs <40,000 mg day-1 1000 inh -1, which gave intake: 0.43, 0.26, 0.07 mg kg-1 in City A, B, and C, likely due to accounting for external/non-human sources. This is higher than the acceptable daily intake (ADI) of 0.01 mg kg-1bw day-1, which warrants further study. Intake per kg of body weight estimated using tebuconazole was 0.86, 1.39, 0.12, 0.13, and 2.7 mg kg-1 in City A-E respectively and is likely due to external/non-human sources. Intake calculated using its metabolite was 0.02 and 0.01 mg kg-1 in City B and C respectively, which aligned with ADI (0.03 mg kg-1bw day-1). The environmental risk assessment of AFs indicated low/medium risk from fluconazole, prochloraz, and tebuconazole, medium risk from epoxiconazole, prothioconazole's metabolite, and tebuconazole, and high risk for prothioconazole in river water. High risk was estimated from fluconazole, epoxiconazole, prothioconazole and its metabolite, tebuconazole, ketoconazole in wastewater samples, which is important during raw sewage discharge events via sewer overflows.
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Affiliation(s)
| | - Kathryn Proctor
- Department of Chemistry, University of Bath, Bath BA2 7AY, UK
| | | | - Ruth Barden
- Wessex Water, Claverton Down Rd, Bath BA2 7WW, UK
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Schmiege D, Kraiselburd I, Haselhoff T, Thomas A, Doerr A, Gosch J, Schoth J, Teichgräber B, Moebus S, Meyer F. Analyzing community wastewater in sub-sewersheds for the small-scale detection of SARS-CoV-2 variants in a German metropolitan area. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165458. [PMID: 37454854 DOI: 10.1016/j.scitotenv.2023.165458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/09/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
Wastewater surveillance of SARS-CoV-2 proved useful, including for identifying the local appearance of newly identified virus variants. Previous studies focused on wastewater treatment plants (WWTP) with sewersheds of several hundred thousand people or at single building level, representing only a small number of people. Both approaches may prove inadequate for small-scale intra-urban inferences for early detection of emerging or novel virus variants. Our study aims (i) to analyze SARS-CoV-2 single nucleotide variants (SNVs) in wastewater of sub-sewersheds and WWTP using whole genome sequencing in order to (ii) investigate the potential of small-scale detection of novel known SARS-CoV-2 variants of concern (VOC) within a metropolitan wastewater system. We selected three sub-sewershed sampling sites, based on estimated population- and built environment-related indicators, and the inlet of the receiving WWTP in the Ruhr region, Germany. Untreated wastewater was sampled weekly between October and December 2021, with a total of 22 samples collected. SARS-CoV-2 RNA was analyzed by RT-qPCR and whole genome sequencing. For all samples, genome sequences were obtained, while only 13 samples were positive for RT-qPCR. We identified multiple specific SARS-CoV-2 SNVs in the wastewater samples of the sub-sewersheds and the WWTP. Identified SNVs reflected the dominance of VOC Delta at the time of sampling. Interestingly, we could identify an Omicron-specific SNV in one sub-sewershed. A concurrent wastewater study sampling the same WWTP detected the VOC Omicron one week later. Our observations suggest that the small-scale approach may prove particularly useful for the detection and description of spatially confined emerging or existing virus variants circulating in populations. Future studies applying small-scale sampling strategies taking into account the specific features of the wastewater system will be useful to analyze temporal and spatial variance in more detail.
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Affiliation(s)
- Dennis Schmiege
- Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130 Essen, Germany.
| | - Ivana Kraiselburd
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany
| | - Timo Haselhoff
- Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130 Essen, Germany
| | - Alexander Thomas
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany
| | - Adrian Doerr
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany
| | - Jule Gosch
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany
| | - Jens Schoth
- Emschergenossenschaft/Lippeverband, Kronprinzenstraße 24, 45128 Essen, Germany
| | | | - Susanne Moebus
- Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130 Essen, Germany
| | - Folker Meyer
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany
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