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Peters AC, Larsson DGJ, Laxminarayan R, Munthe C. Barriers and pathways to environmental surveillance of antibiotic resistance in middle- and low-income settings: a qualitative exploratory key expert study. Glob Health Action 2024; 17:2343318. [PMID: 38813982 PMCID: PMC11141306 DOI: 10.1080/16549716.2024.2343318] [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: 07/04/2023] [Accepted: 04/11/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Local and global surveillance of antibiotic resistance (ABR) has proven a challenge to implement effectively in low- and middleincome (LMI) settings. Environmental surveillance solutions are increasingly highlighted as a strategy to help overcome such problems, and thus to promote global health as well as the local management of ABR in LMI countries. While technical and scientific aspects of such solutions are being probed continuously, no study has investigated their practical feasibility. OBJECTIVE Explore practical barriers for environmental surveillance of ABR in LMI countries, and pathways for surveillance experts to manage these. METHODS To start charting this unknown territory, we conducted an explorative, qualitative interview study with key informants, applying a constructivist grounded theory approach to analyze the results. RESULTS Barriers were identified across infrastructural, institutional and social dimensions, and pathways to manage them were mostly counterproductive from an ABR management perspective, including avoiding entire regions, applying substandard methods and failing to include local collaborators. CONCLUSION The research community as well as international agencies, organizations and states have key roles and responsibilities for improving the prospects of feasible environmental ABR surveillance in LMI-settings.
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Affiliation(s)
- Ann-Christin Peters
- Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg, Gothenburg, Sweden
- Centre for Antibiotic Resistance Research in Gothenburg (CARe), Gothenburg, Sweden
| | - D. G. Joakim Larsson
- Centre for Antibiotic Resistance Research in Gothenburg (CARe), Gothenburg, Sweden
- Department of Infectious Diseases, Institute for Biomedicine, University of Gothenburg, Gothenburg, Sweden
| | - Ramanan Laxminarayan
- One Health Trust, Washington, DC, USA
- One Health Trust, Bangalore, India
- High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA
| | - Christian Munthe
- Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg, Gothenburg, Sweden
- Centre for Antibiotic Resistance Research in Gothenburg (CARe), Gothenburg, Sweden
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Zhang S, Yao Z, Wang S, Zhang Y, Liu T, Zuo X. Dissolved oxygen facilitates efficiency of chlorine disinfection for antibiotic resistance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:173210. [PMID: 38750753 DOI: 10.1016/j.scitotenv.2024.173210] [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: 03/07/2024] [Revised: 05/10/2024] [Accepted: 05/11/2024] [Indexed: 05/20/2024]
Abstract
Controlling the dissemination of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) is a global concern. While commonly used chlorine disinfectants can damage or even kill ARB, dissolved oxygen (DO) may affect the formation of reactive chlorine species. This leads to the hypothesis that DO may play roles in mediating the effectiveness of chlorine disinfection for antibiotic resistance. To this end, this study investigated the impacts of DO on the efficiency of chlorine disinfection for antibiotic resistance. The results revealed that DO could increase the inactivation efficiency of ARB under chloramine and free chlorine exposure at practically relevant concentrations. Reactive species induced by DO, including H2O2, O2-, and OH, inactivated ARB strains by triggering oxidative stress response and cell membrane damage. In addition, the removal efficiency of extracellular ARGs (i.e. tetA and blaTEM) was enhanced with increasing dosage of free chlorine or chloramine under aerobic conditions. DO facilitated the fragmentation of plasmids, contributing to the degradation of extracellular ARGs under exposure to chlorine disinfectants. The findings suggested that DO facilitates disinfection efficiency for antibiotic resistance in water treatment systems.
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Affiliation(s)
- Shuai Zhang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CIC-AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Zheng Yao
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CIC-AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Shu Wang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CIC-AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Yu Zhang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CIC-AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Tao Liu
- Australian Centre for Water and Environmental Biotechnology (ACWEB, formerly AWMC), The University of Queensland, St. Lucia, Queensland 4072, Australia
| | - Xiaojun Zuo
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CIC-AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; School of Environment, Nanjing Normal University, Jiangsu Province Engineering Research Center of Environmental Risk Prevention and Emergency Response Technology, Jiangsu Engineering Lab of Water and Soil Eco-remediation, Nanjing 210023, China.
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3
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Bonanno Ferraro G, Bonomo C, Brandtner D, Mancini P, Veneri C, Briancesco R, Coccia AM, Lucentini L, Suffredini E, Bongiorno D, Musso N, Stefani S, La Rosa G. Characterisation of microbial communities and quantification of antibiotic resistance genes in Italian wastewater treatment plants using 16S rRNA sequencing and digital PCR. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:173217. [PMID: 38750766 DOI: 10.1016/j.scitotenv.2024.173217] [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: 03/29/2024] [Revised: 05/10/2024] [Accepted: 05/11/2024] [Indexed: 05/19/2024]
Abstract
The spread of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in humans, animals and environment is a growing threat to public health. Wastewater treatment plants (WWTPs) are crucial in mitigating the risk of environmental contamination by effectively removing contaminants before discharge. However, the persistence of ARB and ARGs even after treatment is a challenge for the management of water system. To comprehensively assess antimicrobial resistance dynamics, we conducted a one-year monitoring study in three WWTPs in central Italy, both influents and effluents. We used seasonal sampling to analyze microbial communities by 16S rRNA, as well as to determine the prevalence and behaviour of major ARGs (sul1, tetA, blaTEM, blaOXA-48, blaCTX-M-1 group, blaKPC) and the class 1 Integron (int1). Predominant genera included in order: Arcobacter, Acinetobacter, Flavobacterium, Pseudarcobacter, Bacteroides, Aeromonas, Trichococcus, Cloacibacterium, Pseudomonas and Streptococcus. A higher diversity of bacterial communities was observed in the effluents compared to the influents. Within these communities, we also identified bacteria that may be associated with antibiotic resistance and pose a significant threat to human health. The mean concentrations (in gene copies per liter, gc/L) of ARGs and int1 in untreated wastewater (absolute abundance) were as follows: sul1 (4.1 × 109), tetA (5.2 × 108), blaTEM (1.1 × 108), blaOXA-48 (2.1 × 107), blaCTX-M-1 group (1.1 × 107), blaKPC (9.4 × 105), and int1 (5.5 × 109). The mean values in treated effluents showed reductions ranging from one to three log. However, after normalizing to the 16S rRNA gene (relative abundance), it was observed that in 37.5 % (42/112) of measurements, the relative abundance of ARGs increased in effluents compared to influents. Furthermore, correlations were identified between ARGs and bacterial genera including priority pathogens. This study improves our understanding of the dynamics of ARGs and provides insights to develop more effective strategies to reduce their spread, protecting public health and preserving the future efficacy of antibiotics.
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Affiliation(s)
- Giusy Bonanno Ferraro
- National Center for Water Safety (CeNSia), Istituto Superiore di Sanità, Rome, Italy; Department of Biomedical and Biotechnological Science, University of Catania, Italy
| | - Carmelo Bonomo
- Department of Biomedical and Biotechnological Science, University of Catania, Italy
| | - David Brandtner
- Departments of Infectious Disease, Istituto Superiore di Sanità, Rome, Italy
| | - Pamela Mancini
- National Center for Water Safety (CeNSia), Istituto Superiore di Sanità, Rome, Italy
| | - Carolina Veneri
- National Center for Water Safety (CeNSia), Istituto Superiore di Sanità, Rome, Italy
| | - Rossella Briancesco
- National Center for Water Safety (CeNSia), Istituto Superiore di Sanità, Rome, Italy
| | - Anna Maria Coccia
- National Center for Water Safety (CeNSia), Istituto Superiore di Sanità, Rome, Italy
| | - Luca Lucentini
- National Center for Water Safety (CeNSia), Istituto Superiore di Sanità, Rome, Italy
| | - Elisabetta Suffredini
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy
| | - Dafne Bongiorno
- Department of Biomedical and Biotechnological Science, University of Catania, Italy
| | - Nicolò Musso
- Department of Biomedical and Biotechnological Science, University of Catania, Italy
| | - Stefania Stefani
- Department of Biomedical and Biotechnological Science, University of Catania, Italy
| | - Giuseppina La Rosa
- National Center for Water Safety (CeNSia), Istituto Superiore di Sanità, Rome, Italy.
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4
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Smith WJM, Liu Y, Simpson SL, Bivins A, Ahmed W. Assessment of nucleic acid extraction protocols for antibiotic resistance genes (ARGs) quantification in aircraft wastewater. Hum Genomics 2024; 18:54. [PMID: 38816866 PMCID: PMC11138010 DOI: 10.1186/s40246-024-00617-5] [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: 12/13/2023] [Accepted: 05/07/2024] [Indexed: 06/01/2024] Open
Abstract
This study evaluated ten nucleic acid extraction protocols (EP1 to EP10) for measuring five endogenous antibiotic resistance genes (ARGs) in four aircraft wastewater samples (AWW1 to AWW4). The targeted ARGs, including blaCTX-M, blaNDM-1, ermB, qnrS, and tetA, encompassed highly and minimally abundant ARGs. TetA and ermB were consistently detected across four aircraft wastewater samples using the DNeasy Blood and Tissue Kit and the AllPrep PowerViral DNA/RNA kit. QnrS displayed high detection rates with specific extraction protocols and aliquot volumes. Concentrations of ARGs varied across aircraft wastewater samples, with differing extraction protocols influencing quantitative results. The concentrations of tetA, ermB, and qnrS in AWW1 were distinct, while AWW2 to AWW4 exhibited a broader range for tetA, ermB, qnrS, blaCTX-M, and blaNDM-1. EP1 consistently produced the highest concentrations for several ARGs. Collective data analysis revealed varying ARG concentrations across the ten extraction protocols, suggesting the importance of careful extraction protocol selection in ARG monitoring in aircraft wastewater samples. Based on the results, we suggest that a small sample volume (as low as 0.2 mL) may be sufficient for ARG characterization in aircraft wastewater samples. The findings also emphasize the need for considering toilet paper removal without compromising nucleic acid extraction efficiency. The study highlights promising prospects for aircraft wastewater monitoring of ARGs, calling for further investigation into the import and spread of unique ARGs through transport hubs.
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Affiliation(s)
- Wendy J M Smith
- CSIRO Environment, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia
| | - Yawen Liu
- CSIRO Environment, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia
- State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Stuart L Simpson
- CSIRO Environment, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia
| | - Aaron Bivins
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Warish Ahmed
- CSIRO Environment, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia.
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5
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Conforti S, Holschneider A, Sylvestre É, Julian TR. Monitoring ESBL- Escherichia coli in Swiss wastewater between November 2021 and November 2022: insights into population carriage. mSphere 2024; 9:e0076023. [PMID: 38606968 DOI: 10.1128/msphere.00760-23] [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: 12/11/2023] [Accepted: 03/19/2024] [Indexed: 04/13/2024] Open
Abstract
Antimicrobial resistance (AMR) poses a global health threat, causing millions of deaths annually, with expectations of increased impact in the future. Wastewater surveillance offers a cost-effective, non-invasive tool to understand AMR carriage trends within a population. We monitored extended-spectrum β-lactamase producing Escherichia coli (ESBL-E. coli) weekly in influent wastewater from six wastewater treatment plants (WWTPs) in Switzerland (November 2021 to November 2022) to investigate spatio-temporal variations, explore correlations with environmental variables, develop a predictive model for ESBL-E. coli carriage in the community, and detect the most prevalent ESBL-genes. We cultured total and ESBL-E. coli in 300 wastewater samples to quantify daily loads and percentage of ESBL-E. coli. Additionally, we screened 234 ESBL-E. coli isolates using molecular methods for the presence of 18 ESBL-gene families. We found a population-weighted mean percentage of ESBL-E. coli of 1.9% (95% confidence interval: 1.8-2%) across all sites and weeks, which can inform ESBL-E. coli carriage. Concentrations of ESBL-E. coli varied across WWTPs and time, with higher values observed in WWTPs serving larger populations. Recent precipitations (previous 24/96 h) showed no significant association with ESBL-E. coli, while temperature occasionally had a moderate impact (P < 0.05, correlation coefficients approximately 0.40) in some locations. We identified blaCTX-M-1, blaCTX-M-9, and blaTEM as the predominant ESBL-gene families. Our study demonstrates that wastewater-based surveillance of culturable ESBL-E. coli provides insights into AMR trends in Switzerland and may also inform resistance. These findings establish a foundation for long term, nationally established monitoring protocols and provide information that may help inform targeted public health interventions. IMPORTANCE Antimicrobial resistance (AMR) is a global health threat and is commonly monitored in clinical settings, given its association with the risk of antimicrobial-resistant infections. Nevertheless, tracking AMR within a community proves challenging due to the substantial sample size required for a representative population, along with high associated costs and privacy concerns. By investigating high resolution temporal and geographic trends in extended-spectrum beta-lactamase producing Escherichia coli in wastewater, we provide an alternative approach to monitor AMR dynamics, distinct from the conventional clinical settings focus. Through this approach, we develop a mechanistic model, shedding light on the relationship between wastewater indicators and AMR carriage in the population. This perspective contributes valuable insights into trends of AMR carriage, emphasizing the importance of wastewater surveillance in informing effective public health interventions.
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Affiliation(s)
- Sheena Conforti
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- Swiss Institute of Bioinformatics (SIB), Basel, Switzerland
| | - Aurélie Holschneider
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - Émile Sylvestre
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - Timothy R Julian
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
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6
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Li H, He F, Lv Z, Yi L, Zhang Z, Li H, Fu S. Tailored wastewater surveillance framework uncovered the epidemics of key pathogens in a Northwestern city of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171833. [PMID: 38522539 DOI: 10.1016/j.scitotenv.2024.171833] [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: 01/15/2024] [Revised: 03/03/2024] [Accepted: 03/18/2024] [Indexed: 03/26/2024]
Abstract
Wastewater surveillance enables rapid pathogen monitoring and community prevalence estimation. However, how to design an integrated and tailored wastewater surveillance framework to monitor major health threats in metropolises remains a major challenge. In this study, we first analyzed the historical clinical data of Xi'an city and designed a wastewater surveillance framework covering five key endemic viruses, namely, SARS-CoV-2, norovirus, influenza A virus (IAV), influenza B virus (IBV), respiratory syncytial virus (RSV), and hantavirus. Amplicon sequencing of SARS-CoV-2, norovirus and hantavirus was conducted biweekly to determine the prevalent community genotypes circulating in this region. The results showed that from April 2023 to August 2023, Xi'an experienced two waves of SARS-CoV-2 infection, which peaked in the middle of May-2023 and late August-2023. The sewage concentrations of IAV and RSV peaked in early March and early May 2023, respectively, while the sewage concentrations of norovirus fluctuated throughout the study period and peaked in late August. The dynamics of the sewage concentrations of SARS-CoV-2, norovirus, IAV, RSV, and hantavirus were in line with the trends in the sentinel hospital percent positivity data, indicating the role of wastewater surveillance in enhancing the understanding of epidemic trends. Amplicon sequencing of SARS-CoV-2 revealed a transition in the predominant genotype, which changed from DY.1 and FR.1.4 to the XBB and EG.5 subvariants. Amplicon sequencing also revealed that there was only one predominant hantavirus genotype in the local population, while highly diverse genotypes of norovirus GI and GII were found in the wastewater. In conclusion, this study provided valuable insights into the dynamics of infection trends and predominant genotypes of key pathogens in a city without sufficient clinical surveillance, highlighting the role of a tailored wastewater surveillance framework in addressing public health priorities. More importantly, our study provides the first evidence demonstrating the applicability of wastewater surveillance for hantavirus, which is a major health threat locally.
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Affiliation(s)
- Haifeng Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi'an 710069, China
| | - Fenglan He
- The Collaboration Unit for State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Health Commission Key Laboratory of Pathogenic Diagnosis and Genomics of Emerging Infectious Diseases, Nanchang Center for Disease Control and Prevention, Nanchang 330038, China
| | - Ziquan Lv
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Liu Yi
- The Collaboration Unit for State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Health Commission Key Laboratory of Pathogenic Diagnosis and Genomics of Emerging Infectious Diseases, Nanchang Center for Disease Control and Prevention, Nanchang 330038, China
| | - Ziqiang Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi'an 710069, China
| | - Hui Li
- The Collaboration Unit for State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Health Commission Key Laboratory of Pathogenic Diagnosis and Genomics of Emerging Infectious Diseases, Nanchang Center for Disease Control and Prevention, Nanchang 330038, China.
| | - Songzhe Fu
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi'an 710069, China; The Collaboration Unit for State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Health Commission Key Laboratory of Pathogenic Diagnosis and Genomics of Emerging Infectious Diseases, Nanchang Center for Disease Control and Prevention, Nanchang 330038, China.
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7
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Tiwari A, Lehto KM, Paspaliari DK, Al-Mustapha AI, Sarekoski A, Hokajärvi AM, Länsivaara A, Hyder R, Luomala O, Lipponen A, Oikarinen S, Heikinheimo A, Pitkänen T. Developing wastewater-based surveillance schemes for multiple pathogens: The WastPan project in Finland. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171401. [PMID: 38467259 DOI: 10.1016/j.scitotenv.2024.171401] [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: 12/02/2023] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 03/13/2024]
Abstract
Wastewater comprises multiple pathogens and offers a potential for wastewater-based surveillance (WBS) to track the prevalence of communicable diseases. The Finnish WastPan project aimed to establish wastewater-based pandemic preparedness for multiple pathogens (viruses, bacteria, parasites, fungi), including antimicrobial resistance (AMR). This article outlines WastPan's experiences in this project, including the criteria for target selection, sampling locations, frequency, analysis methods, and results communication. Target selection relied on epidemiological and microbiological evidence and practical feasibility. Within the WastPan framework, wastewater samples were collected between 2021 and 2023 from 10 wastewater treatment plants (WWTPs) covering 40 % of Finland's population. WWTP selection was validated for reported cases of Extended Spectrum Beta-lactamase-producing bacterial pathogens (Escherichia coli and Klebsiella pneumoniae) from the National Infectious Disease Register. The workflow included 24-h composite influent samples, with one fraction for culture-based analysis (bacteria and fungi) and the rest of the sample was reserved for molecular analysis (viruses, bacteria, antibiotic resistance genes, and parasites). The reproducibility of the monitoring workflow was assessed for SARS-CoV-2 through inter-laboratory comparisons using the N2 and N1 assays. Identical protocols were applied to same-day samples, yielding similar positivity trends in the two laboratories, but the N2 assay achieved a significantly higher detection rate (Laboratory 1: 91.5 %; Laboratory 2: 87.4 %) than the N1 assay (76.6 %) monitored only in Laboratory 2 (McNemar, p < 0.001 Lab 1, = 0.006 Lab 2). This result indicates that the selection of monitoring primers and assays may impact monitoring sensitivity in WBS. Overall, the current study recommends that the selection of sampling frequencies and population coverage of the monitoring should be based on pathogen-specific epidemiological characteristics. For example, pathogens that are stable over time may need less frequent annual sampling, while those that are occurring across regions may require reduced sample coverage. Here, WastPan successfully piloted WBS for monitoring multiple pathogens, highlighting the significance of one-litre community composite wastewater samples for assessing community health. The infrastructure established for COVID-19 WBS is valuable for monitoring various pathogens. The prioritization of the monitoring targets optimizes resource utilization. In the future legislative support in target selection, coverage determination, and sustained funding for WBS is recomended.
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Affiliation(s)
- Ananda Tiwari
- Finnish Institute for Health and Welfare, Department of Health Security, Kuopio and Helsinki, Finland.
| | - Kirsi-Maarit Lehto
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland.
| | - Dafni K Paspaliari
- Finnish Institute for Health and Welfare, Department of Health Security, Kuopio and Helsinki, Finland; ECDC Fellowship Programme, Public Health Microbiology path (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Ahmad I Al-Mustapha
- University of Helsinki, Faculty of Veterinary Medicine, Helsinki, Finland; Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria.
| | - Anniina Sarekoski
- Finnish Institute for Health and Welfare, Department of Health Security, Kuopio and Helsinki, Finland; University of Helsinki, Faculty of Veterinary Medicine, Helsinki, Finland.
| | - Anna-Maria Hokajärvi
- Finnish Institute for Health and Welfare, Department of Health Security, Kuopio and Helsinki, Finland.
| | - Annika Länsivaara
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland.
| | - Rafiqul Hyder
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland.
| | - Oskari Luomala
- Finnish Institute for Health and Welfare, Department of Health Security, Kuopio and Helsinki, Finland.
| | - Anssi Lipponen
- Finnish Institute for Health and Welfare, Department of Health Security, Kuopio and Helsinki, Finland.
| | - Sami Oikarinen
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland.
| | - Annamari Heikinheimo
- University of Helsinki, Faculty of Veterinary Medicine, Helsinki, Finland; Finnish Food Authority, Seinäjoki, Finland.
| | - Tarja Pitkänen
- Finnish Institute for Health and Welfare, Department of Health Security, Kuopio and Helsinki, Finland; University of Helsinki, Faculty of Veterinary Medicine, Helsinki, Finland.
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8
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Mendelson M, Lewnard JA, Sharland M, Cook A, Pouwels KB, Alimi Y, Mpundu M, Wesangula E, Weese JS, Røttingen JA, Laxminarayan R. Ensuring progress on sustainable access to effective antibiotics at the 2024 UN General Assembly: a target-based approach. Lancet 2024:S0140-6736(24)01019-5. [PMID: 38797179 DOI: 10.1016/s0140-6736(24)01019-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 03/19/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024]
Abstract
Rising antimicrobial resistance (AMR) is a global health crisis for countries of all economic levels, alongside the broader challenge of access to antibiotics. As a result, development goals for child survival, healthy ageing, poverty reduction, and food security are at risk. Preserving antimicrobial effectiveness, a global public good, requires political will, targets, accountability frameworks, and funding. The upcoming second high-level meeting on AMR at the UN General Assembly (UNGA) in September, 2024, is evidence of political interest in addressing the problem of AMR, but action on targets, accountability, and funding, absent from the 2016 UNGA resolution, is needed. We propose ambitious yet achievable global targets for 2030 (relative to a prepandemic 2019 baseline): a 10% reduction in mortality from AMR; a 20% reduction in inappropriate human antibiotic use; and a 30% reduction in inappropriate animal antibiotic use. Given national variation in current levels of antibiotic use, these goals (termed the 10-20-30 by 2030) should be met within a framework of universal access to effective antibiotics. The WHO Access, Watch, Reserve (AWARE) system can be used to define, monitor, and evaluate appropriate levels of antibiotic use and access. Some countries should increase access to narrow-spectrum, safe, and affordable (Access) antibiotics, whereas others should discourage the inappropriate use of broader-spectrum (Watch) and last-resort (Reserve) antibiotics; AWARE targets should use a risk-based, burden-adjusted approach. Improved infection prevention and control, access to clean water and sanitation, and vaccination coverage can offset the selection effects of increased antibiotic use in low-income settings. To ensure accountability and global scientific guidance and consensus, we call for the establishment of the Independent Panel on Antimicrobial Access and Resistance and the support of leaders from low-income and middle-income countries.
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Affiliation(s)
- Marc Mendelson
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa.
| | - Joseph A Lewnard
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Mike Sharland
- Centre for Neonatal and Paediatric Infection, Institute for Infection and Immunity, St Georges University of London, London, UK
| | - Aislinn Cook
- Centre for Neonatal and Paediatric Infection, Institute for Infection and Immunity, St Georges University of London, London, UK; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Koen B Pouwels
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yewande Alimi
- Africa Centres for Disease Prevention and Control, Addis Ababa, Ethiopia
| | | | - Evelyn Wesangula
- East Central and Southern Africa Health Community, Arusha, Tanzania
| | - Jeffrey Scott Weese
- Centre for Public Health and Zoonoses, University of Guelph, Guelph, ON, Canada
| | | | - Ramanan Laxminarayan
- One Health Trust, Bengaluru, India; High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA.
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9
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Bijlsma L, Xu L, Gracia-Marín E, Pitarch E, Serrano R, Kasprzyk-Hordern B. Understanding associations between antimicrobial agents usage and antimicrobial resistance genes prevalence at the community level using wastewater-based epidemiology: A Spanish pilot study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171996. [PMID: 38547975 DOI: 10.1016/j.scitotenv.2024.171996] [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: 01/25/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
Understanding the development and spread of antimicrobial resistance (AMR) is important for combating this global threat for public health. Wastewater-based epidemiology (WBE) is a complementary approach to current surveillance programs that minimizes some of the existing limitations. The aim of the present study is to explore WBE for monitoring antibiotics and antibiotic resistance genes (ARGs) in wastewater samples collected during 2021/2022 from the city of Castellon (Spain). Eighteen commonly prescribed antibiotics have been selected and measured by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS), with triple quadrupole mass analysers. Moreover, qPCR for specific ARGs has been performed to obtain information of these genes in co-presence with antibiotics. All selected ARGs, along with a total of 11 antibiotics, were identified. The highest population-normalized daily loads were observed for the macrolide azithromycin, followed by the quinolones ciprofloxacin and levofloxacin. Subsequently, daily consumption estimates based on wastewater data were compared with prescription data of antibiotics. Statistical analyses were conducted to explore if there is correlation between antibiotics and ARGs. While no correlations were found between antibiotics and their corresponding ARGs, certain correlations (p < 0.05) were identified among non-corresponding ARGs. In addition, a strong positive correlation was found between the sum of all antibiotics and the intl1 gene. Moreover, population-normalized ARG loads significantly correlate with the 16S rRNA-normalized ARG loads, serving as an indicator for population size. Results provide a baseline for future work and a proof-of-concept emphasising the need for future work and long-term surveillance, and highlight the need of similar programs at a regional and global levels worldwide.
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Affiliation(s)
- Lubertus Bijlsma
- Environmental and Public Health Analytical Chemistry, University Jaume I, E-12071 Castellón, Spain.
| | - Like Xu
- Department of Chemistry, University of Bath, Claverton Down BA27AY, United Kingdom
| | - Elisa Gracia-Marín
- Environmental and Public Health Analytical Chemistry, University Jaume I, E-12071 Castellón, Spain
| | - Elena Pitarch
- Environmental and Public Health Analytical Chemistry, University Jaume I, E-12071 Castellón, Spain
| | - Roque Serrano
- Environmental and Public Health Analytical Chemistry, University Jaume I, E-12071 Castellón, Spain
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10
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Kohle S, Petersen TN, Vigre H, Johansson MHK, Aarestrup FM. Metagenomic analysis of sewage for surveillance of bacterial pathogens: A release experiment to determine sensitivity. PLoS One 2024; 19:e0300733. [PMID: 38753691 PMCID: PMC11098379 DOI: 10.1371/journal.pone.0300733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/04/2024] [Indexed: 05/18/2024] Open
Abstract
Accurate monitoring of gastro-enteric and other diseases in large populations poses a challenge for public health management. Sewage represents a larger population, is freely obtainable and non-subject to ethical approval. Metagenomic sequencing offers simultaneous, multiple-target analysis. However, no study has demonstrated the sensitivity of metagenomics for detecting bacteria in sewage. In this study, we spot-released 1013 colony-forming units (CFU) of Staphyloccus hyicus (non-pathogenetic strain 842J-88). The strain was flushed down a toilet into the sewer in the catchment area of a public wastewater treatment plant (WWTP), serving a population of 36,000 people. Raw sewage was continuously sampled at the WWTP's inlet over 30- and 60-minute intervals for a total period of seven hours. The experiment was conducted twice with one week in-between release days and under comparable weather conditions. For the metagenomics analyses, the pure single isolate of S. hyicus was sequenced, assembled and added to a large database of bacterial reference sequences. All sewage samples were analyzed by shotgun metagenome sequencing and mapped against the reference database. S. hyicus was identified in duplicate samples at both of two release days and these sequence fragment counts served as a proxy to estimate the minimum number of sick people or sensitivity required in order to observe at least one sick person at 95% probability. We found the sensitivity to be in the range 41-140 and 16-36 sick people at release days 1 and 2, respectively. The WWTP normally serves 36,000 people giving a normalized sensitivity in the range of one in 257 to 2,250 persons.
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Affiliation(s)
- Simon Kohle
- Research Group for Genomic Epidemiology, DTU-Food, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Thomas N. Petersen
- Research Group for Genomic Epidemiology, DTU-Food, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Håkan Vigre
- Research Group for Genomic Epidemiology, DTU-Food, Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - Frank M. Aarestrup
- Research Group for Genomic Epidemiology, DTU-Food, Technical University of Denmark, Kongens Lyngby, Denmark
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11
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Watson E, Hamilton S, Silva N, Moss S, Watkins C, Baily J, Forster T, Hall AJ, Dagleish MP. Variations in antimicrobial resistance genes present in the rectal faeces of seals in Scottish and Liverpool Bay coastal waters. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 349:123936. [PMID: 38588972 DOI: 10.1016/j.envpol.2024.123936] [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: 12/11/2023] [Revised: 03/04/2024] [Accepted: 04/05/2024] [Indexed: 04/10/2024]
Abstract
Antibiotic resistance genes originating from human activity are considered important environmental pollutants. Wildlife species can act as sentinels for coastal environmental contamination and in this study we used qPCR array technology to investigate the variety and abundance of antimicrobial resistance genes (ARGs), mobile genetic elements (MGEs) and integrons circulating within seal populations both near to and far from large human populations located around the Scottish and northwest English coast. Rectal swabs were taken from 50 live grey seals and nine live harbour seals. Nucleic acids were stabilised upon collection, enabling extraction of sufficient quality and quantity DNA for downstream analysis. 78 ARG targets, including genes of clinical significance, four MGE targets and three integron targets were used to monitor genes within 22 sample pools. 30 ARGs were detected, as well as the integrons intl1 and intl2 and tnpA transposase. Four β-lactam, nine tetracycline, two phenicol, one trimethoprim, three aminoglycoside and ten multidrug resistance genes were detected as well as mcr-1 which confers resistance to colistin, an important drug of last resort. No sulphonamide, vancomycin, macrolide, lincosamide or streptogramin B (MLSB) resistance genes were detected. Resistance genes were detected in all sites but the highest number of ARGs (n = 29) was detected in samples derived from grey seals on the Isle of May, Scotland during the breeding season, and these genes also had the highest average abundance in relation to the 16S rRNA gene. This pilot study demonstrates the effectiveness of a culture-independent workflow for global analysis of ARGs within the microbiota of live, free-ranging, wild animals from habitats close to and remote from human habitation, and highlights seals as a valuable indicator species for monitoring the presence, abundance and land-sea transference of resistance genes within and between ecosystems.
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Affiliation(s)
- Eleanor Watson
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, Scotland, EH26 0PZ, UK.
| | - Scott Hamilton
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, Scotland, EH26 0PZ, UK
| | - Nuno Silva
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, Scotland, EH26 0PZ, UK
| | - Simon Moss
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB, Scotland, UK
| | - Craig Watkins
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, Scotland, EH26 0PZ, UK
| | - Johanna Baily
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, Scotland, EH26 0PZ, UK
| | - Thorsten Forster
- LifeArc, Bioquarter, 9 Little France Road, Edinburgh, EH16 4UX, Scotland, UK
| | - Ailsa J Hall
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB, Scotland, UK
| | - Mark P Dagleish
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, Scotland, EH26 0PZ, UK
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12
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Shamsizadeh Z, Nikaeen M, Mohammadi F, Farhadkhani M, Mokhtari M, Ehrampoush MH. Wastewater surveillance of antibiotic resistance and class 1 integron-integrase genes: Potential impact of wastewater characteristics on genes profile. Heliyon 2024; 10:e29601. [PMID: 38765125 PMCID: PMC11098788 DOI: 10.1016/j.heliyon.2024.e29601] [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: 10/27/2023] [Revised: 03/25/2024] [Accepted: 04/10/2024] [Indexed: 05/21/2024] Open
Abstract
Antibiotic resistance (AR) is a major global health concern, but current surveillance efforts primarily focus on healthcare settings, leaving a lack of understanding about AR across all sectors of the One Health approach. To bridge this gap, wastewater surveillance provides a cost-effective and efficient method for monitoring AR within a population. In this study, we implemented a surveillance program by monitoring the wastewater effluent from two large-scale municipal treatment plants situated in Isfahan, a central region of Iran. These treatment plants covered distinct catchment regions and served a combined population about two million of residents. Furthermore, the effect of physicochemical and microbial characteristics of wastewater effluent including biological oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), temperature, total coliforms and Escherichia coli concentration on the abundance of ARGs (blaCTX-M, tetW, sul1, cmlA, and ermB) and class 1 integron-integrase gene (intI1) were investigated. Sul1 and blaCTX-M were the most and least abundant ARGs in the two WWTPs, respectively. Principal Component Analysis showed that in both of the WWTPs all ARGs and intI1 gene abundance were positively correlated with effluent temperature, but all other effluent characteristics (BOD, COD, TSS, total coliforms and E. coli) showed no significant correlation with ARGs abundance. Temperature could affect the performance of conventional activated sludge process, which in turn could affect the abundance of ARGs. The results of this study suggest that other factors than BOD, COD and TSS may affect the ARGs abundance. The predicted AR could lead to development of effective interventions and policies to combat AR in the clinical settings. However, further research is needed to determine the relationship between the AR in wastewater and clinical settings as well as the effect of other influential factors on ARGs abundance.
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Affiliation(s)
- Zahra Shamsizadeh
- Department of Environmental Health Engineering, School of Health, Larestan University of Medical Sciences, Larestan, Iran
- Environmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mahnaz Nikaeen
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Farzaneh Mohammadi
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marzieh Farhadkhani
- Educational Development Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Mehdi Mokhtari
- Environmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mohammad Hassan Ehrampoush
- Environmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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13
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Tavares RDS, Fidalgo C, Rodrigues ET, Tacão M, Henriques I. Integron-associated genes are reliable indicators of antibiotic resistance in wastewater despite treatment- and seasonality-driven fluctuations. WATER RESEARCH 2024; 258:121784. [PMID: 38761599 DOI: 10.1016/j.watres.2024.121784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 05/06/2024] [Accepted: 05/13/2024] [Indexed: 05/20/2024]
Abstract
The present study aims to characterize the bacterial community, resistome and integron abundance of a municipal wastewater treatment plant (WWTP) over the course of 12 months and evaluate the year-long performance of integron-related genes as potential indicators of antibiotic resistance mechanisms in influents and effluents. For that, total DNA was extracted and subjected to 16S rRNA-targeted metabarcoding, high-throughput (HT) qPCR (48 targets) and standard qPCR (5 targets). Targets included integrase genes, antibiotic resistance genes (ARGs) and putative pathogenic groups. A total of 16 physicochemical parameters determined in the wastewater samples were also considered. Results revealed that the WWTP treatment significantly impacted the bacterial community, as well as the content in ARGs and integrase genes. Indeed, there was a relative enrichment from influent to effluent of 13 pathogenic groups (e.g., Legionella and Mycobacterium) and genes conferring resistance to sulphonamides, aminoglycosides and disinfectants. Effluent samples (n = 25) also presented seasonal differences, with an increase of the total ARGs' concentration in summer, and differences between winter and summer on relative abundance of sulphonamide and disinfectant resistance mechanisms. From the eight putative integron-related genes selected, all were positively correlated with the total ARGs' content in wastewater and the relative abundance of resistance to most of the specific antibiotic classes. The genes intI1, blaGES and qacE∆1 were the most strongly correlated with the total concentration of ARGs. Genes blaGES and blaVIM, were better correlated to resistance to beta-lactams, aminoglycosides and tetracyclines. This study supports the use of integron-related genes as powerful indicators of antibiotic resistance in wastewater, being robust despite the variability caused by wastewater treatment and seasonality.
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Affiliation(s)
- Rafael D S Tavares
- Department of Life Sciences, Centre for Functional Ecology, Associate Laboratory TERRA, Faculty of Sciences and Technology, University of Coimbra, 3000-456, Coimbra, Portugal; Centre for Environmental and Marine Studies (CESAM) and Department of Biology, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Cátia Fidalgo
- Centre for Environmental and Marine Studies (CESAM) and Department of Biology, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Elsa T Rodrigues
- Department of Life Sciences, Centre for Functional Ecology, Associate Laboratory TERRA, Faculty of Sciences and Technology, University of Coimbra, 3000-456, Coimbra, Portugal
| | - Marta Tacão
- Centre for Environmental and Marine Studies (CESAM) and Department of Biology, University of Aveiro, 3810-193, Aveiro, Portugal.
| | - Isabel Henriques
- Department of Life Sciences, Centre for Functional Ecology, Associate Laboratory TERRA, Faculty of Sciences and Technology, University of Coimbra, 3000-456, Coimbra, Portugal
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14
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Bombaywala S, Bajaj A, Dafale NA. Meta-analysis of wastewater microbiome for antibiotic resistance profiling. J Microbiol Methods 2024; 223:106953. [PMID: 38754482 DOI: 10.1016/j.mimet.2024.106953] [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: 03/21/2024] [Revised: 05/12/2024] [Accepted: 05/12/2024] [Indexed: 05/18/2024]
Abstract
The microbial composition and stress molecules are main drivers influencing the development and spread of antibiotic resistance bacteria (ARBs) and genes (ARGs) in the environment. A reliable and rapid method for identifying associations between microbiome composition and resistome remains challenging. In the present study, secondary metagenome data of sewage and hospital wastewaters were assessed for differential taxonomic and ARG profiling. Subsequently, Random Forest (RF)-based ML models were used to predict ARG profiles based on taxonomic composition and model validation on hospital wastewaters. Total ARG abundance was significantly higher in hospital wastewaters (15 ppm) than sewage (5 ppm), while the resistance towards methicillin, carbapenem, and fluoroquinolone were predominant. Although, Pseudomonas constituted major fraction, Streptomyces, Enterobacter, and Klebsiella were characteristic of hospital wastewaters. Prediction modeling showed that the relative abundance of pathogenic genera Escherichia, Vibrio, and Pseudomonas contributed most towards variations in total ARG count. Moreover, the model was able to identify host-specific patterns for contributing taxa and related ARGs with >90% accuracy in predicting the ARG subtype abundance. More than >80% accuracy was obtained for hospital wastewaters, demonstrating that the model can be validly extrapolated to different types of wastewater systems. Findings from the study showed that the ML approach could identify ARG profile based on bacterial composition including 16S rDNA amplicon data, and can serve as a viable alternative to metagenomic binning for identification of potential hosts of ARGs. Overall, this study demonstrates the promising application of ML techniques for predicting the spread of ARGs and provides guidance for early warning of ARBs emergence.
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Affiliation(s)
- Sakina Bombaywala
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur 440020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Abhay Bajaj
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur 440020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Nishant A Dafale
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur 440020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
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15
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Yang S, Cao J, Zhao C, Zhang X, Li C, Wang S, Yang X, Qiu Z, Li C, Wang J, Xue B, Shen Z. Cylindrospermopsin enhances the conjugative transfer of plasmid-mediated multi-antibiotic resistance genes through glutathione biosynthesis inhibition. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 276:116288. [PMID: 38581909 DOI: 10.1016/j.ecoenv.2024.116288] [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: 01/30/2024] [Revised: 03/29/2024] [Accepted: 03/31/2024] [Indexed: 04/08/2024]
Abstract
Cylindrospermopsin (CYN), a cyanobacterial toxin, has been detected in the global water environment. However, information concerning the potential environmental risk of CYN is limited, since the majority of previous studies have mainly focused on the adverse health effects of CYN through contaminated drinking water. The present study reported that CYN at environmentally relevant levels (0.1-100 μg/L) can significantly enhance the conjugative transfer of RP4 plasmid in Escherichia coli genera, wherein application of 10 μg/L of CYN led to maximum fold change of ∼6.5- fold at 16 h of exposure. Meanwhile, evaluation of underlying mechanisms revealed that environmental concentration of CYN exposure could increase oxidative stress in the bacterial cells, resulting in ROS overproduction. In turn, this led to an upregulation of antioxidant enzyme-related genes to avoid ROS attack. Further, inhibition of the synthesis of glutathione (GSH) was also detected, which led to the rapid depletion of GSH in cells and thus triggered the SOS response and promoted the conjugative transfer process. Increase in cell membrane permeability, upregulation of expression of genes related to pilus generation, ATP synthesis, and RP4 gene expression were also observed. These results highlight the potential impact on the spread of antimicrobial resistance in water environments.
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Affiliation(s)
- Shuran Yang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Jinrui Cao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China
| | - Chen Zhao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China; Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China
| | - Xi Zhang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Chenyu Li
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Shang Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China
| | - Xiaobo Yang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China
| | - Zhigang Qiu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China
| | - Chao Li
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China; Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China
| | - Jingfeng Wang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China; Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China
| | - Bin Xue
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin 300050, China.
| | - Zhiqiang Shen
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
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16
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Aguiar R, Keil R, Wiktorowicz M. The urban political ecology of antimicrobial resistance: A critical lens on integrative governance. Soc Sci Med 2024; 348:116689. [PMID: 38564956 DOI: 10.1016/j.socscimed.2024.116689] [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: 03/27/2023] [Revised: 09/07/2023] [Accepted: 02/09/2024] [Indexed: 04/04/2024]
Abstract
The objective of this paper is to integrate Urban Political Ecology (UPE) as a theory for identifying under-exposed urban dimensions of Antimicrobial Resistance (AMR). A UPE lens allows us to conceptualize urbanization as a ubiquitous socio-ecological process and an interpretive frame that could inform AMR governance strategies across related contexts by: a) situating AMR risks in relation to urbanization processes shaping social and political co-determinants of such systemic threats as climate change; b) aligning UPE scholarship with One Health (OH) approaches that address AMR to reveal the under-exposed link of AMR to environmental threats and broader structural dimensions that influence these threats; and c) identifying shared AMR and environmental governance pathways that inform the rationale for more equitable governance arrangements. We delineate a context in which the speed and scale of human activity in the larger context of urbanization, driven by global market integration strategies, impacts human-animal-environmental health threats such as AMR. We demonstrate how UPE scholarship can be leveraged to offer theoretical depth to approaches considering the interdependencies of AMR and climate change threats. We then propose a strategic approach focused on identifying shared governance pathways and intersectoral accountability frameworks to address upstream structural drivers of AM-Environmental threats. The co-benefits of a UPE-informed framework to human-animal-environmental health that leverages enabling policy environments to foster a more collaborative, equitable and sustainable approach to address systemic global health threats are clarified. Just as the concept of "health in all policies" emphasized taking health implications into account in all public policy development, the integration of UPE in AMR governance arrangements would emphasize the need to take other sectors into account through an intersectoral whole-of-government approach that fosters shared AMR - climate change governance pathways.
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Affiliation(s)
- Raphael Aguiar
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada; Faculty of Health, York University, Toronto, Canada.
| | - Roger Keil
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada; Faculty of Environmental and Urban Change, York University, Toronto, Canada.
| | - Mary Wiktorowicz
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada; Faculty of Health, York University, Toronto, Canada.
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17
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Bydalek F, Webster G, Barden R, Weightman AJ, Kasprzyk-Hordern B, Wenk J. Microbial community and antimicrobial resistance niche differentiation in a multistage, surface flow constructed wetland. WATER RESEARCH 2024; 254:121408. [PMID: 38442607 DOI: 10.1016/j.watres.2024.121408] [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: 06/06/2023] [Revised: 02/24/2024] [Accepted: 02/29/2024] [Indexed: 03/07/2024]
Abstract
Free-living (FL) and particulate-associated (PA) communities are distinct bacterioplankton lifestyles with different mobility and dissemination routes. Understanding spatio-temporal dynamics of PA and FL fractions will allow improvement to wastewater treatment processes including pathogen and AMR bacteria removal. In this study, PA, FL and sediment community composition and antimicrobial resistance gene (ARG; tetW, ermB, sul1, intI1) dynamics were investigated in a full-scale municipal wastewater free-water surface polishing constructed wetland. Taxonomic composition of PA and FL microbial communities shifted towards less diverse communities (Shannon, Chao1) at the CW effluent but retained a distinct fraction-specific composition. Wastewater treatment plant derived PA communities introduced the bulk of AMR load (70 %) into the CW. However, the FL fraction was responsible for exporting over 60 % of the effluent AMR load given its high mobility and the effective immobilization (1-3 log removal) of PA communities. Strong correlations (r2>0.8, p < 0.05) were observed between the FL fraction, tetW and emrB dynamics, and amplicon sequence variants (ASVs) of potentially pathogenic taxa, including Bacteroides, Enterobacteriaceae, Aeromonadaceae, and Lachnospiraceae. This study reveals niche differentiation of microbial communities and associated AMR in CWs and shows that free-living bacteria are a primary escape route of pathogenic and ARG load from CWs under low-flow hydraulic conditions.
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Affiliation(s)
- Franciszek Bydalek
- Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK; Water Innovation and Research Centre (WIRC), University of Bath, Bath BA2 7AY, UK; GW4 NERC CDT in Freshwater Biosciences and Sustainability, Cardiff University, Cardiff CF10 3AX, UK; Organisms and Environment Division, School of Biosciences, Microbiomes, Microbes and Informatics Group, Cardiff University, Cardiff CF10 3AX, UK
| | - Gordon Webster
- Organisms and Environment Division, School of Biosciences, Microbiomes, Microbes and Informatics Group, Cardiff University, Cardiff CF10 3AX, UK
| | | | - Andrew J Weightman
- Organisms and Environment Division, School of Biosciences, Microbiomes, Microbes and Informatics Group, Cardiff University, Cardiff CF10 3AX, UK
| | - Barbara Kasprzyk-Hordern
- Water Innovation and Research Centre (WIRC), University of Bath, Bath BA2 7AY, UK; Department of Chemistry, University of Bath, Bath BA2 7AY, UK
| | - Jannis Wenk
- Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK; Water Innovation and Research Centre (WIRC), University of Bath, Bath BA2 7AY, UK.
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18
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Blackmon S, Avendano E, Nirmala N, Chan CW, Morin RA, Balaji S, McNulty L, Argaw SA, Doron S, Nadimpalli ML. Socioeconomic status and the risk for colonization or infection with priority bacterial pathogens: a global evidence map. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.24.24306293. [PMID: 38712194 PMCID: PMC11071581 DOI: 10.1101/2024.04.24.24306293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Low socioeconomic status (SES) is thought to exacerbate risks for bacterial infections, but global evidence for this relationship has not been synthesized. We systematically reviewed the literature for studies describing participants' SES and their risk of colonization or community-acquired infection with priority bacterial pathogens. Fifty studies from 14 countries reported outcomes by participants' education, healthcare access, income, residential crowding, SES deprivation score, urbanicity, or sanitation access. Low educational attainment, lower than average income levels, lack of healthcare access, residential crowding, and high deprivation were generally associated with higher risks of colonization or infection. There is limited research on these outcomes in low- and middle-income countries (LMICs) and conflicting findings regarding the effects of urbanicity. Only a fraction of studies investigating pathogen colonization and infection reported data stratified by participants' SES. Future studies should report stratified data to improve understanding of the complex interplay between SES and health, especially in LMICs.
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Affiliation(s)
- Sarah Blackmon
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | | | - Nanguneri Nirmala
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Courtney W. Chan
- University of Massachusetts T.H. Chan School of Medicine, Worcester, MA, USA
| | - Rebecca A. Morin
- Hirsh Health Sciences Library, Tufts University, Boston, MA, USA
| | - Sweta Balaji
- Department of Quantitative Theory and Methods, Emory University, Atlanta, GA
| | - Lily McNulty
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Samson Alemu Argaw
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Shira Doron
- Division of Geographic Medicine and Infectious Disease, Department of Medicine, Tufts Medical Center, Boston, MA, USA
- Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance (Levy CIMAR), Tufts University, Boston, MA, USA
| | - Maya L. Nadimpalli
- Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance (Levy CIMAR), Tufts University, Boston, MA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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19
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Omar KM, Kitundu GL, Jimoh AO, Namikelwa DN, Lisso FM, Babajide AA, Olufemi SE, Awe OI. Investigating antimicrobial resistance genes in Kenya, Uganda and Tanzania cattle using metagenomics. PeerJ 2024; 12:e17181. [PMID: 38666081 PMCID: PMC11044882 DOI: 10.7717/peerj.17181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/11/2024] [Indexed: 04/28/2024] Open
Abstract
Antimicrobial resistance (AMR) is a growing problem in African cattle production systems, posing a threat to human and animal health and the associated economic value chain. However, there is a poor understanding of the resistomes in small-holder cattle breeds in East African countries. This study aims to examine the distribution of antimicrobial resistance genes (ARGs) in Kenya, Tanzania, and Uganda cattle using a metagenomics approach. We used the SqueezeMeta-Abricate (assembly-based) pipeline to detect ARGs and benchmarked this approach using the Centifuge-AMRplusplus (read-based) pipeline to evaluate its efficiency. Our findings reveal a significant number of ARGs of critical medical and economic importance in all three countries, including resistance to drugs of last resort such as carbapenems, suggesting the presence of highly virulent and antibiotic-resistant bacterial pathogens (ESKAPE) circulating in East Africa. Shared ARGs such as aph(6)-id (aminoglycoside phosphotransferase), tet (tetracycline resistance gene), sul2 (sulfonamide resistance gene) and cfxA_gen (betalactamase gene) were detected. Assembly-based methods revealed fewer ARGs compared to read-based methods, indicating the sensitivity and specificity of read-based methods in resistome characterization. Our findings call for further surveillance to estimate the intensity of the antibiotic resistance problem and wider resistome classification. Effective management of livestock and antibiotic consumption is crucial in minimizing antimicrobial resistance and maximizing productivity, making these findings relevant to stakeholders, agriculturists, and veterinarians in East Africa and Africa at large.
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Affiliation(s)
- Kauthar M. Omar
- Department of Biochemistry and Biotechnology, School of Pure and Applied Sciences, Pwani University, Kilifi, Kenya
| | - George L. Kitundu
- Department of Biochemistry and Biotechnology, School of Pure and Applied Sciences, Pwani University, Kilifi, Kenya
| | - Adijat O. Jimoh
- Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Genetics, Genomics and Bioinformatics Department, National Biotechnology Development Agency, Abuja, Nigeria
| | - Dorcus N. Namikelwa
- Department of Data Management, Modelling and Geo-Information Unit, International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | - Felix M. Lisso
- Department of Biochemistry and Biotechnology, School of Pure and Applied Sciences, Pwani University, Kilifi, Kenya
| | - Abiola A. Babajide
- South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
| | - Seun E. Olufemi
- Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
| | - Olaitan I. Awe
- African Society for Bioinformatics and Computational Biology, Cape Town, South Africa
- Department of Computer Science, University of Ibadan, Ibadan, Oyo State, Nigeria
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20
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Munk P, Yang D, Röder T, Maier L, Petersen TN, Duarte ASR, Clausen PTLC, Brinch C, Van Gompel L, Luiken R, Wagenaar JA, Schmitt H, Heederik DJJ, Mevius DJ, Smit LAM, Bossers A, Aarestrup FM. The European livestock resistome. mSystems 2024; 9:e0132823. [PMID: 38501800 PMCID: PMC11019871 DOI: 10.1128/msystems.01328-23] [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: 12/15/2023] [Accepted: 02/21/2024] [Indexed: 03/20/2024] Open
Abstract
Metagenomic sequencing has proven to be a powerful tool in the monitoring of antimicrobial resistance (AMR). Here, we provide a comparative analysis of the resistome from pigs, poultry, veal calves, turkey, and rainbow trout, for a total of 538 herds across nine European countries. We calculated the effects of per-farm management practices and antimicrobial usage (AMU) on the resistome in pigs, broilers, and veal calves. We also provide an in-depth study of the associations between bacterial diversity, resistome diversity, and AMR abundances as well as co-occurrence analysis of bacterial taxa and antimicrobial resistance genes (ARGs) and the universality of the latter. The resistomes of veal calves and pigs clustered together, as did those of avian origin, while the rainbow trout resistome was different. Moreover, we identified clear core resistomes for each specific food-producing animal species. We identified positive associations between bacterial alpha diversity and both resistome alpha diversity and abundance. Network analyses revealed very few taxa-ARG associations in pigs but a large number for the avian species. Using updated reference databases and optimized bioinformatics, previously reported significant associations between AMU, biosecurity, and AMR in pig and poultry farms were validated. AMU is an important driver for AMR; however, our integrated analyses suggest that factors contributing to increased bacterial diversity might also be associated with higher AMR load. We also found that dispersal limitations of ARGs are shaping livestock resistomes, and future efforts to fight AMR should continue to emphasize biosecurity measures.IMPORTANCEUnderstanding the occurrence, diversity, and drivers for antimicrobial resistance (AMR) is important to focus future control efforts. So far, almost all attempts to limit AMR in livestock have addressed antimicrobial consumption. We here performed an integrated analysis of the resistomes of five important farmed animal populations across Europe finding that the resistome and AMR levels are also shaped by factors related to bacterial diversity, as well as dispersal limitations. Thus, future studies and interventions aimed at reducing AMR should not only address antimicrobial usage but also consider other epidemiological and ecological factors.
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Affiliation(s)
- Patrick Munk
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Dongsheng Yang
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
| | - Timo Röder
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Leonie Maier
- School of Biological Sciences, University of Edinburgh, Max Born Crescent, Edinburgh, United Kingdom
| | | | | | | | - Christian Brinch
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Liese Van Gompel
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
| | - Roosmarijn Luiken
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
| | - Jaap A. Wagenaar
- Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
| | - Heike Schmitt
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
| | - Dick J. J. Heederik
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
| | - Dik J. Mevius
- Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
- Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, The Netherlands
| | - Lidwien A. M. Smit
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
| | - EFFORT ConsortiumGravelandHaitskeGonzalez-ZornBrunoMoyanoGabrielSandersPascalChauvinClaireBattistiAntonioDewulfJeroenWadepohlKatharinaWasylDariuszSkarzyńskaMagdalenaZajacMagdalenaPękala-SafińskaAgnieszkaDaskalovHristoStärkKatharina D. C.
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
- School of Biological Sciences, University of Edinburgh, Max Born Crescent, Edinburgh, United Kingdom
- Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
- Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, The Netherlands
| | - Alex Bossers
- Institute for Risk Assessment Sciences, Faculty of Veterinary Medicine, Utrecht University, The Netherlands, Utrecht
- Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, The Netherlands
| | - Frank M. Aarestrup
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
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21
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Gand M, Navickaite I, Bartsch LJ, Grützke J, Overballe-Petersen S, Rasmussen A, Otani S, Michelacci V, Matamoros BR, González-Zorn B, Brouwer MSM, Di Marcantonio L, Bloemen B, Vanneste K, Roosens NHCJ, AbuOun M, De Keersmaecker SCJ. Towards facilitated interpretation of shotgun metagenomics long-read sequencing data analyzed with KMA for the detection of bacterial pathogens and their antimicrobial resistance genes. Front Microbiol 2024; 15:1336532. [PMID: 38659981 PMCID: PMC11042533 DOI: 10.3389/fmicb.2024.1336532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/29/2024] [Indexed: 04/26/2024] Open
Abstract
Metagenomic sequencing is a promising method that has the potential to revolutionize the world of pathogen detection and antimicrobial resistance (AMR) surveillance in food-producing environments. However, the analysis of the huge amount of data obtained requires performant bioinformatics tools and databases, with intuitive and straightforward interpretation. In this study, based on long-read metagenomics data of chicken fecal samples with a spike-in mock community, we proposed confidence levels for taxonomic identification and AMR gene detection, with interpretation guidelines, to help with the analysis of the output data generated by KMA, a popular k-mer read alignment tool. Additionally, we demonstrated that the completeness and diversity of the genomes present in the reference databases are key parameters for accurate and easy interpretation of the sequencing data. Finally, we explored whether KMA, in a two-step procedure, can be used to link the detected AMR genes to their bacterial host chromosome, both detected within the same long-reads. The confidence levels were successfully tested on 28 metagenomics datasets which were obtained with sequencing of real and spiked samples from fecal (chicken, pig, and buffalo) or food (minced beef and food enzyme products) origin. The methodology proposed in this study will facilitate the analysis of metagenomics sequencing datasets for KMA users. Ultimately, this will contribute to improvements in the rapid diagnosis and surveillance of pathogens and AMR genes in food-producing environments, as prioritized by the EU.
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Affiliation(s)
- Mathieu Gand
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
| | - Indre Navickaite
- Department of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom
| | - Lee-Julia Bartsch
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Josephine Grützke
- Department of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | | | - Astrid Rasmussen
- Bacterial Reference Center, Statens Serum Institute, Copenhagen, Denmark
| | - Saria Otani
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Valeria Michelacci
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy
| | | | - Bruno González-Zorn
- Department of Animal Health, Complutense University of Madrid, Madrid, Spain
| | - Michael S. M. Brouwer
- Wageningen Bioveterinary Research Part of Wageningen University and Research, Lelystad, Netherlands
| | - Lisa Di Marcantonio
- Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, Teramo, Italy
| | - Bram Bloemen
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
| | - Kevin Vanneste
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
| | | | - Manal AbuOun
- Department of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom
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22
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Tiwari A, Krolicka A, Tran TT, Räisänen K, Ásmundsdóttir ÁM, Wikmark OG, Lood R, Pitkänen T. Antibiotic resistance monitoring in wastewater in the Nordic countries: A systematic review. ENVIRONMENTAL RESEARCH 2024; 246:118052. [PMID: 38163547 DOI: 10.1016/j.envres.2023.118052] [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: 10/20/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/03/2024]
Abstract
The Nordic countries (Denmark, Finland, Iceland, Norway, and Sweden) have effectively kept lower antibiotic-resistant bacterial (ARB) pathogen rates than many other countries. However, in recent years, these five countries have encountered a rise in ARB cases and challenges in treating infections due to the growing prevalence of ARB pathogens. Wastewater-based surveillance (WBS) is a valuable supplement to clinical methods for ARB surveillance, but there is a lack of comprehensive understanding of WBS application for ARB in the Nordic countries. This review aims to compile the latest state-of-the-art developments in WBS for ARB monitoring in the Nordic countries and compare them with clinical surveillance practices. After reviewing 1480 papers from the primary search, 54 were found relevant, and 15 additional WBS-related papers were included. Among 69 studies analyzed, 42 dedicated clinical epidemiology, while 27 focused on wastewater monitoring. The PRISMA review of the literature revealed that Nordic countries focus on four major WBS objectives of ARB: assessing ARB in the human population, identifying ARB evading wastewater treatment, quantifying removal rates, and evaluating potential ARB evolution during the treatment process. In both clinical and wastewater contexts, the most studied targets were pathogens producing carbapenemase and extended-spectrum beta-lactamase (ESBL), primarily Escherichia coli and Klebsiella spp. However, vancomycin-resistant Enterococcus (VRE) and methicillin-resistant Staphylococcus aureus (MRSA) have received more attention in clinical epidemiology than in wastewater studies, probably due to their lower detection rates in wastewater. Clinical surveillance has mostly used culturing, antibiotic susceptibility testing, and genotyping, but WBS employed PCR-based and metagenomics alongside culture-based techniques. Imported cases resulting from international travel and hospitalization abroad appear to have frequently contributed to the rise in ARB pathogen cases in these countries. The many similarities between the Nordic countries (e.g., knowledge exchange practices, antibiotic usage patterns, and the current ARB landscape) could facilitate collaborative efforts in developing and implementing WBS for ARB in population-level screening.
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Affiliation(s)
- Ananda Tiwari
- Expert Microbiology Unit, Finnish Institute for Health and Welfare, 70701, Kuopio, Finland.
| | - Adriana Krolicka
- Norwegian Research Centre AS (NORCE), Nygårdstangen, 5838, Bergen, Norway
| | - Tam T Tran
- Norwegian Research Centre AS (NORCE), Nygårdstangen, 5838, Bergen, Norway
| | - Kati Räisänen
- Expert Microbiology Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Odd-Gunnar Wikmark
- Norwegian Research Centre AS (NORCE), Nygårdstangen, 5838, Bergen, Norway; Unit for Environmental Science and Management, North West University, Potchefstroom Campus, Private Bag X6001, Potchefstroom 2520, South Africa
| | - Rolf Lood
- Department of Clinical Sciences Lund, Division of Infection Medicine, Faculty of Medicine, Lund University, Lund, Sweden
| | - Tarja Pitkänen
- Expert Microbiology Unit, Finnish Institute for Health and Welfare, 70701, Kuopio, Finland; Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland.
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23
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Monteagudo de Barros V, da Rocha BS, Rhoden J, Stein JF, Picoli SU, Rigotto C. Detection of metallo-beta-lactamase-producing genes blaSPM and blaNDM in Pseudomonas aeruginosa isolated from wastewater in Southern Brazil. JOURNAL OF WATER AND HEALTH 2024; 22:689-700. [PMID: 38678422 DOI: 10.2166/wh.2024.305] [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: 10/16/2023] [Accepted: 03/01/2024] [Indexed: 04/30/2024]
Abstract
Pseudomonas aeruginosa is commonly associated with the ability to acquire antimicrobial resistance. The surveillance of resistance genes in various environmental matrices has gained prominence in recent years, being seen as a potential threat to public health. The objective of this study was to investigate genes encoding metallo-beta-lactamases (MBLs), which confer resistance to carbapenems, in wastewater. Fifteen isolates of P. aeruginosa were collected for five months from samples obtained from a municipal wastewater treatment plant in Rio Grande do Sul. These isolates were subjected to disk diffusion testing using 10 different antimicrobials. Phenotypic enzymatic tests for MBLs were conducted, and positive isolates underwent DNA extraction and gene detection using the polymerase chain reaction. The resistance rate to ceftazidime was 100%, cefepime 73.3%, piperacillin-tazobactam 66.67%, imipenem 53.30%, levofloxacin 46.67%, tobramycin 40%, and ciprofloxacin and amikacin 13.33%. Both meropenem and aztreonam resistances were rare accounting for 6.60% of the tested isolates. Among these isolates, 20% were classified as multidrug-resistant and were found to carry the blaNDM and blaSPM genes. The results suggest that evaluating resistance genes in bacteria from urban raw sewage can provide data that assist in surveillance, as this environment can stimulate increased bacterial resistance.
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Affiliation(s)
- Vinícius Monteagudo de Barros
- Molecular Microbiology Laboratory, Institute of Health Sciences, Feevale University, Red Building 2nd Floor, Room 205, RS 239, No. 2755, Vila Nova, Novo Hamburgo, RS 93352-000, Brazil E-mail:
| | - Bruna Seixas da Rocha
- Molecular Microbiology Laboratory, Institute of Health Sciences, Feevale University, Red Building 2nd Floor, Room 205, RS 239, No. 2755, Vila Nova, Novo Hamburgo, RS 93352-000, Brazil
| | - Jaqueline Rhoden
- Molecular Microbiology Laboratory, Institute of Health Sciences, Feevale University, Red Building 2nd Floor, Room 205, RS 239, No. 2755, Vila Nova, Novo Hamburgo, RS 93352-000, Brazil
| | - Janaína Franciele Stein
- Molecular Microbiology Laboratory, Institute of Health Sciences, Feevale University, Red Building 2nd Floor, Room 205, RS 239, No. 2755, Vila Nova, Novo Hamburgo, RS 93352-000, Brazil
| | - Simone Ulrich Picoli
- Integrated Health Specialties Center - CIES Feevale, Institute of Health Sciences, Feevale University, R. Rubem Berta, 200 - Vila Nova, Novo Hamburgo, RS 93525-080, Brazil
| | - Caroline Rigotto
- Molecular Microbiology Laboratory, Institute of Health Sciences, Feevale University, Red Building 2nd Floor, Room 205, RS 239, No. 2755, Vila Nova, Novo Hamburgo, RS 93352-000, Brazil
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24
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Arnal C, Belhadj-Kaabi F, Ingrand V. [Which contribution of wastewater treatment plants in the fight against antimicrobial resistance?]. C R Biol 2024; 346:23-33. [PMID: 37655905 DOI: 10.5802/crbiol.113] [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: 01/24/2023] [Accepted: 02/21/2023] [Indexed: 09/02/2023]
Abstract
Due to the massive use of antibiotics, antimicrobial resistance (AMR) continues to spread, endangering global disease control and environmental quality. The sources of bacteria or antimicrobial resistance genes are linked to human activities: urban, hospital and industrial discharges, livestock farms). The role of sanitation systems-sewerage, wastewater treatment and sludge treatment (WWTP)-in the problem of AMR has not yet been clearly established by the scientific community. The data available to date show that they eliminate part of the bacteria, genes and antibiotics, although this is not their primary vocation. WWTPs thus play an important filtering role to limit dissemination in the environment. On the other hand, some authors warn against their potential involvement in the selection of new resistant germs, given the conditions conducive to the exchange of genetic material between microbial strains of various types and exposed to selective agents. Today, knowledge of the mechanisms involved in the selection of antibiotic resistance and the fate of bacteria and resistance genes within sanitation systems remains limited. Research is needed to better characterize the contribution of wastewater systems and the performance of wastewater, recycled water, stormwater and sludge treatment processes.
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Madhukar MK, Singh N, Iyer VR, Sowpati DT, Tallapaka KB, Mishra RK, Moharir SC. Antimicrobial resistance landscape in a metropolitan city context using open drain wastewater-based metagenomic analysis. ENVIRONMENTAL RESEARCH 2024; 252:118556. [PMID: 38503380 DOI: 10.1016/j.envres.2024.118556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 02/22/2024] [Accepted: 02/24/2024] [Indexed: 03/21/2024]
Abstract
One Health concept recognizes the inextricable interactions of diverse ecosystems and their subsequent effect on human, animal and plant health. Antimicrobial resistance (AMR) is a major One Health concern and is predicted to cause catastrophes if appropriate measures are not implemented. To understand the AMR landscape in a south Indian metropolitan city, metagenomic analysis of open drains was performed. The data suggests that in January 2022, macrolide class of antibiotics contributed the highest resistance of 40.1% in the city, followed by aminoglycoside- 24.4%, tetracycline- 11.3% and lincosamide- 6.7%. The 'mutations in the 23S rRNA gene conferring resistance to macrolide antibiotics' were the major contributor of resistance with a prevalence of 39.7%, followed by '16s rRNA with mutation conferring resistance to aminoglycoside antibiotics'- 22.2%, '16S rRNA with mutation conferring resistance to tetracycline derivatives'- 9.2%, and '23S rRNA with mutation conferring resistance to lincosamide antibiotics'- 6.7%. The most prevalent antimicrobial resistance gene (ARG) 'mutations in the 23S rRNA gene conferring resistance to macrolide antibiotics' was present in multiple pathogens including Escherichia coli, Campylobacter jejuni, Acinetobacter baumannii, Streptococcus pneumoniae, Pseudomonas aeruginosa, Neisseria gonorrhoeae, Klebsiella pneumoniae and Helicobacter pylori. Most of the geographical locations in the city showed a similar landscape for AMR. Considering human mobility and anthropogenic activities, such an AMR landscape could be common across other regions too. The data indicates that pathogens are evolving and acquiring antibiotic resistance genes to evade antibiotics of multiple major drug classes in diverse hosts. The outcomes of the study are relevant not only in understanding the resistance landscape at a broader level but are also important for identifying the resistant drug classes, the mechanisms of gaining resistance and for developing new drugs that target specific pathways. This kind of surveillance protocol can be extended to regions in other developing countries to assess and combat the problem of antimicrobial resistance.
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Affiliation(s)
| | - Nirupama Singh
- Tata Institute for Genetics and Society, Bengaluru, 560065, India
| | - V Rajesh Iyer
- Tata Institute for Genetics and Society, Bengaluru, 560065, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Divya Tej Sowpati
- Centre for Cellular and Molecular Biology, Hyderabad, 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Karthik Bharadwaj Tallapaka
- Centre for Cellular and Molecular Biology, Hyderabad, 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Rakesh Kumar Mishra
- Tata Institute for Genetics and Society, Bengaluru, 560065, India; Centre for Cellular and Molecular Biology, Hyderabad, 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
| | - Shivranjani Chandrashekhar Moharir
- Tata Institute for Genetics and Society, Bengaluru, 560065, India; Centre for Cellular and Molecular Biology, Hyderabad, 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
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26
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Maestre-Carballa L, Navarro-López V, Martinez-Garcia M. City-scale monitoring of antibiotic resistance genes by digital PCR and metagenomics. ENVIRONMENTAL MICROBIOME 2024; 19:16. [PMID: 38491508 PMCID: PMC10943798 DOI: 10.1186/s40793-024-00557-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/22/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Anthropogenic activities significantly contribute to the dissemination of antibiotic resistance genes (ARGs), posing a substantial threat to humankind. The development of methods that allow robust ARG surveillance is a long-standing challenge. Here, we use city-scale monitoring of ARGs by using two of the most promising cutting-edge technologies, digital PCR (dPCR) and metagenomics. METHODS ARG hot-spots were sampled from the urban water and wastewater distribution systems. Metagenomics was used to provide a broad view of ARG relative abundance and richness in the prokaryotic and viral fractions. From the city-core ARGs in all samples, the worldwide dispersed sul2 and tetW conferring resistance to sulfonamide and tetracycline, respectively, were monitored by dPCR and metagenomics. RESULTS The largest relative overall ARG abundance and richness were detected in the hospital wastewater and the WWTP inlet (up to ≈6,000 ARGs/Gb metagenome) with a large fraction of unclassified resistant bacteria. The abundance of ARGs in DNA and RNA contigs classified as viruses was notably lower, demonstrating a reduction of up to three orders of magnitude compared to contigs associated to prokaryotes. By metagenomics and dPCR, a similar abundance tendency of sul2 and tetW was obtained, with higher abundances in hospital wastewater and WWTP input (≈125-225 ARGs/Gb metagenome). dPCR absolute abundances were between 6,000 and 18,600 copies per ng of sewage DNA (≈105-7 copies/mL) and 6.8 copies/mL in seawater near the WWTP discharging point. CONCLUSIONS dPCR was more sensitive and accurate, while metagenomics provided broader coverage of ARG detection. While desirable, a reliable correlation of dPCR absolute abundance units into metagenomic relative abundance units was not obtained here (r2 < 0.4) suggesting methodological factors that introduce variability. Evolutionary pressure does not significantly select the targeted ARGs in natural aquatic environments.
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Affiliation(s)
- Lucia Maestre-Carballa
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Carretera San Vicente del Raspeig, San Vicente del Raspeig, Alicante, 03690, Spain
- Instituto Multidisciplinar para el Estudio del Medio Ramon Margalef, University of Alicante, San Vicente del Raspeig, Alicante, 03690, Spain
| | - Vicente Navarro-López
- Clinical Microbiology and Infectious Disease Unit, Hospital Universitario Vinalopó, Elche, Spain
| | - Manuel Martinez-Garcia
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Carretera San Vicente del Raspeig, San Vicente del Raspeig, Alicante, 03690, Spain.
- Instituto Multidisciplinar para el Estudio del Medio Ramon Margalef, University of Alicante, San Vicente del Raspeig, Alicante, 03690, Spain.
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27
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Kang Y, Wang J, Li Z. Meta-analysis addressing the characterization of antibiotic resistome in global hospital wastewater. JOURNAL OF HAZARDOUS MATERIALS 2024; 466:133577. [PMID: 38281357 DOI: 10.1016/j.jhazmat.2024.133577] [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: 10/07/2023] [Revised: 12/07/2023] [Accepted: 01/18/2024] [Indexed: 01/30/2024]
Abstract
Hospital wastewater (HWW) is a significant environmental reservoir of antibiotic resistance genes (ARGs). However, currently, no comprehensive understanding exists of the antibiotic resistome in global HWW. In this study, we attempted to address this knowledge gap through an in silico reanalysis of publicly accessible global HWW metagenomic data. We reanalyzed ARGs in 338 HWW samples from 13 countries in Africa, Asia, and Europe. In total, 2420 ARG subtypes belonging to 30 ARG types were detected, dominated by multidrug, beta-lactam, and aminoglycoside resistance genes. ARG composition in Europe differed from that in Asia and Africa. Notably, the ARGs presented co-occurrence with mobile genetic elements (MGEs), metal resistance genes (MRGs), and human bacterial pathogens (HBP), indicating a potential dissemination risk of ARGs in the HWW. Multidrug resistance genes presented co-occurrence with MGEs, MRGs, and HBP, is particularly pronounced. The abundance of contigs that contained ARG, contigs that contained ARG and HBP, contigs that contained ARG and MGE, contigs that contained ARG and MRG were used for health and transmission risk assessment of antibiotic resistome and screened out 40 high risk ARGs in the global HWW. This study first provides a comprehensive characterization and risk of the antibiotic resistome in global HWW.
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Affiliation(s)
- Yutong Kang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102200, China
| | - Jie Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Zhenjun Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102200, China.
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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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29
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Wu J, Hu Y, Perlin MH, Danko D, Lu J, Oliveira M, Werner J, Zambrano MM, Sierra MA, Osuolale OO, Łabaj P, Rascovan N, Hazrin-Chong NH, Jang S, Suzuki H, Nieto-Caballero M, Prithiviraj B, Lee PKH, Chmielarczyk A, Różańska A, Zhao Y, Wang L, Mason CE, Shi T. Landscape of global urban environmental resistome and its association with local socioeconomic and medical status. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-023-2504-1. [PMID: 38489008 DOI: 10.1007/s11427-023-2504-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/06/2023] [Indexed: 03/17/2024]
Abstract
Antimicrobial resistance (AMR) poses a critical threat to global health and development, with environmental factors-particularly in urban areas-contributing significantly to the spread of antibiotic resistance genes (ARGs). However, most research to date has been conducted at a local level, leaving significant gaps in our understanding of the global status of antibiotic resistance in urban environments. To address this issue, we thoroughly analyzed a total of 86,213 ARGs detected within 4,728 metagenome samples, which were collected by the MetaSUB International Consortium involving diverse urban environments in 60 cities of 27 countries, utilizing a deep-learning based methodology. Our findings demonstrated the strong geographical specificity of urban environmental resistome, and their correlation with various local socioeconomic and medical conditions. We also identified distinctive evolutionary patterns of ARG-related biosynthetic gene clusters (BGCs) across different countries, and discovered that the urban environment represents a rich source of novel antibiotics. Our study provides a comprehensive overview of the global urban environmental resistome, and fills a significant gap in our knowledge of large-scale urban antibiotic resistome analysis.
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Affiliation(s)
- Jun Wu
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yige Hu
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Michael H Perlin
- Department of Biology, Program on Disease Evolution, University of Louisville, Louisville, 40292, USA
| | - David Danko
- Weill Cornell Medicine, New York, 10065, USA
- The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, 10065, USA
| | - Jun Lu
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China
| | - Manuela Oliveira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, 4050-290, Portugal
- Ipatimup - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, 4200-465, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, 4050-290, Portugal
| | - Johannes Werner
- High Performance and Cloud Computing Group, Zentrum für Datenverarbeitung (ZDV), Eberhard Karls University of Tübingen, Wächterstraße 76, 72074, Tübingen, Germany
| | | | - Maria A Sierra
- Weill Cornell Medicine, New York, 10065, USA
- The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, 10065, USA
| | - Olayinka O Osuolale
- Applied Environmental Metagenomics and Infectious Diseases Research (AEMIDR), Department of Biological Sciences, Elizade University, Ilara-Mokin, 340271, Nigeria
| | - Paweł Łabaj
- Maopolska Centre of Biotechnology, Jagiellonian University, Kraków, 30-005, Poland
| | - Nicolás Rascovan
- Aix-Marseille Université, Mediterranean Institute of Oceanology, Université de Toulon, CNRS, IRD, UM 110, Marseille, 83041, France
| | - Nur Hazlin Hazrin-Chong
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia UKM, 43600, Bangi, Selangor, Malaysia
| | - Soojin Jang
- Institut Pasteur Korea, Seoul, 13488, Republic of Korea
| | - Haruo Suzuki
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, 252-0882, Japan
| | - Marina Nieto-Caballero
- Civil, Environmental and Architectural Department, University of Colorado at Boulder, Boulder, 80303, USA
| | | | - Patrick K H Lee
- School of Energy and Environment, City University of Hong Kong, Hong Kong, 999077, China
| | - Agnieszka Chmielarczyk
- Department of Microbiology, Faculty of Medicine, Jagiellonian University, Krakow, 30-005, Poland
| | - Anna Różańska
- Department of Microbiology, Faculty of Medicine, Jagiellonian University, Krakow, 30-005, Poland
| | - Yongxiang Zhao
- Biological Targeting Diagnosis and Therapy Research Center, Guangxi Medical University, Nanning, 530021, China.
| | - Lan Wang
- College of Architecture and Urban Planning, Tongji University, Shanghai, 200092, China.
| | - Christopher E Mason
- Weill Cornell Medicine, New York, 10065, USA.
- The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, 10065, USA.
| | - Tieliu Shi
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, 100083, China.
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30
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Ren Z, Li H, Luo W. Unraveling the mystery of antibiotic resistance genes in green and red Antarctic snow. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170148. [PMID: 38246373 DOI: 10.1016/j.scitotenv.2024.170148] [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: 11/26/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/23/2024]
Abstract
Antarctic snow is a thriving habitat for a diverse array of complex microorganisms, and can present in different colors due to algae blooms. However, the potential role of Antarctic snow as reservoirs for antibiotic resistance genes (ARGs) has not been studied. Using metagenomic sequencing, we studied ARGs in green-snow and red-snow on the Fildes Peninsula, Antarctica. Alpha and beta diversities of ARGs, as well as co-occurrence between ARGs and bacteria were assessed. The results showed that a total of 525 ARGs conferring resistance to 30 antibiotic classes were detected across the samples, with half of the ARGs presented in all samples. Green-snow exhibited a higher number of ARGs compared to red-snow. The most abundant ARGs conferring resistance to commonly used antibiotics, including disinfecting agents and antiseptics, peptide, isoniazid, MLS, fluoroquinolone, aminocoumarin, etc. Multidrug resistance genes stood out as the most diverse and abundant, with antibiotic efflux emerging as the dominant resistance mechanism. Interestingly, the composition of ARGs in green-snow markedly differed from that in red-snow, highlighting distinct ARG profiles. Beta-diversity partitioning showed a higher contribution of nestedness for ARG's variation in green-snow, while higher contribution of turnover in red-snow. Furthermore, the co-occurrence analysis between ARGs and bacteria unveiled intricate relationships, indicating that certain ARGs may have multiple potential hosts. The observed differences in co-occurrence networks between green-snow and red-snow suggested distinct host relationships between ARGs and bacteria in these colored snows. Given the increasing appearance of the colored snow around the world due to the climate change, the results shed light on the mystery and potential implication of ARGs in green and red Antarctic snow.
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Affiliation(s)
- Ze Ren
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Huirong Li
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; Key Laboratory of Polar Ecosystem and Climate Change, Shanghai Jiao Tong University, Ministry of Education, Shanghai 200030, China; Shanghai Key Laboratory of Polar Life and Environment Sciences, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Wei Luo
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; Key Laboratory of Polar Ecosystem and Climate Change, Shanghai Jiao Tong University, Ministry of Education, Shanghai 200030, China; Shanghai Key Laboratory of Polar Life and Environment Sciences, Shanghai Jiao Tong University, Shanghai 200030, China.
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31
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Fang GY, Wu FH, Mu XJ, Jiang YJ, Liu XQ. Monitoring longitudinal antimicrobial resistance trends of Staphylococcus aureus strains worldwide over the past 100 years to decipher its evolution and transmission. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133136. [PMID: 38056258 DOI: 10.1016/j.jhazmat.2023.133136] [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: 07/01/2023] [Revised: 11/19/2023] [Accepted: 11/28/2023] [Indexed: 12/08/2023]
Abstract
Staphylococcus aureus inhabits diverse habitats including food waste and wastewater treatment plants. Cases of S. aureus-induced infection are commonly reported worldwide. The emergence of antimicrobial resistance (AMR) of S. aureus is a growing public health threat worldwide. Here, we longitudinally monitored global trends in antibiotic resistance genes (ARGs) of 586 S. aureus strains, isolated between 1884 and 2022. The ARGs in S. aureus exhibited a significant increase over time (P < 0.0001). Mobile genetic elements play a crucial role in the transfer of ARGs in S. aureus strains. The structural equation model results revealed a significant correlation between the human development index and rising antibiotic consumption, which subsequently leads to an indirect escalation of AMR in S. aureus strains. Lastly, a machine learning algorithm successfully predicted the AMR risk of global terrestrial S. aureus with over 70% accuracy. Overall, these findings provided valuable insights for managing AMR in S. aureus.
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Affiliation(s)
- Guan-Yu Fang
- College of Food and Health, Zhejiang A&F University, Hangzhou 311300, PR China; National Grain Industry (High-Quality Rice Storage in Temperate and Humid Region) Technology Innovation Center, Zhejiang A&F University, Hangzhou 311300, PR China.
| | - Feng-Hua Wu
- College of Food and Health, Zhejiang A&F University, Hangzhou 311300, PR China; National Grain Industry (High-Quality Rice Storage in Temperate and Humid Region) Technology Innovation Center, Zhejiang A&F University, Hangzhou 311300, PR China
| | - Xiao-Jing Mu
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, PR China
| | - Yu-Jian Jiang
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, PR China
| | - Xing-Quan Liu
- College of Food and Health, Zhejiang A&F University, Hangzhou 311300, PR China; National Grain Industry (High-Quality Rice Storage in Temperate and Humid Region) Technology Innovation Center, Zhejiang A&F University, Hangzhou 311300, PR China.
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32
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Yang L, Zhao F, Yen H, Feng Q, Li M, Wang X, Tang J, Bu Q, Chen L. Urbanization and land use regulate soil vulnerability to antibiotic contamination in urban green spaces. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133363. [PMID: 38157809 DOI: 10.1016/j.jhazmat.2023.133363] [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: 10/23/2023] [Revised: 12/10/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
The presence of antibiotics in environment is an emerging concern because of their ubiquitous occurrence, adverse eco-toxicological effects, and promotion of widespread antibiotic resistance. Urban soil, which plays a noticeable role in human health, may be a reservoir of antibiotics because of intensive human disturbance. However, little is understood about the vulnerability of soil to antibiotic contamination in urban areas and the spatial-temporal characteristics of anthropogenic and environmental pressures. In this study, we developed a framework for the dynamic assessment of soil vulnerability to antibiotic contamination in urban green spaces, combining antibiotic release, exposure, and consequence layers. According to the results, soil vulnerability risks shown obvious spatial-temporal variation in urban areas. Areas at a high risk of antibiotic contamination were usually found in urban centers with high population densities and in seasons with low temperature and vegetation coverage. Quinolones (e.g., ofloxacin and norfloxacin) were priority antibiotics that posed the highest vulnerability risks, followed by tetracyclines. We also confirmed the effectiveness of the vulnerability assessment by correlating soil vulnerability indexes and antibiotic residues in urban soils. Furthermore, urbanization- and land use-related parameters were shown to be critical in regulating soil vulnerability to antibiotic contamination based on sensitivity analysis. These findings have important implications for the prediction and mitigation of urban soil contamination with antibiotics and strategies to improve human health.
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Affiliation(s)
- Lei Yang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fangkai Zhao
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China
| | - Haw Yen
- School of Forestry and Wildlife Sciences, Auburn University, Auburn 36849, USA; Environmental Exposure Modeling, Bayer US Crop Science Division, Chesterfield 63017, USA
| | - Qingyu Feng
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Min Li
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinmiao Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianfeng Tang
- Key laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Qingwei Bu
- School of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China
| | - Liding Chen
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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33
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Martiny HM, Pyrounakis N, Petersen TN, Lukjančenko O, Aarestrup FM, Clausen PTLC, Munk P. ARGprofiler-a pipeline for large-scale analysis of antimicrobial resistance genes and their flanking regions in metagenomic datasets. Bioinformatics 2024; 40:btae086. [PMID: 38377397 PMCID: PMC10918635 DOI: 10.1093/bioinformatics/btae086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/11/2023] [Accepted: 02/19/2024] [Indexed: 02/22/2024] Open
Abstract
MOTIVATION Analyzing metagenomic data can be highly valuable for understanding the function and distribution of antimicrobial resistance genes (ARGs). However, there is a need for standardized and reproducible workflows to ensure the comparability of studies, as the current options involve various tools and reference databases, each designed with a specific purpose in mind. RESULTS In this work, we have created the workflow ARGprofiler to process large amounts of raw sequencing reads for studying the composition, distribution, and function of ARGs. ARGprofiler tackles the challenge of deciding which reference database to use by providing the PanRes database of 14 078 unique ARGs that combines several existing collections into one. Our pipeline is designed to not only produce abundance tables of genes and microbes but also to reconstruct the flanking regions of ARGs with ARGextender. ARGextender is a bioinformatic approach combining KMA and SPAdes to recruit reads for a targeted de novo assembly. While our aim is on ARGs, the pipeline also creates Mash sketches for fast searching and comparisons of sequencing runs. AVAILABILITY AND IMPLEMENTATION The ARGprofiler pipeline is a Snakemake workflow that supports the reuse of metagenomic sequencing data and is easily installable and maintained at https://github.com/genomicepidemiology/ARGprofiler.
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Affiliation(s)
- Hannah-Marie Martiny
- Research Group for Genomic Epidemiology, Technical University of Denmark, Henrik Danms Allé, Bygning 204, Kongens Lyngby 2800, Denmark
| | - Nikiforos Pyrounakis
- Research Group for Genomic Epidemiology, Technical University of Denmark, Henrik Danms Allé, Bygning 204, Kongens Lyngby 2800, Denmark
| | - Thomas N Petersen
- Research Group for Genomic Epidemiology, Technical University of Denmark, Henrik Danms Allé, Bygning 204, Kongens Lyngby 2800, Denmark
| | - Oksana Lukjančenko
- Research Group for Genomic Epidemiology, Technical University of Denmark, Henrik Danms Allé, Bygning 204, Kongens Lyngby 2800, Denmark
| | - Frank M Aarestrup
- Research Group for Genomic Epidemiology, Technical University of Denmark, Henrik Danms Allé, Bygning 204, Kongens Lyngby 2800, Denmark
| | - Philip T L C Clausen
- Research Group for Genomic Epidemiology, Technical University of Denmark, Henrik Danms Allé, Bygning 204, Kongens Lyngby 2800, Denmark
| | - Patrick Munk
- Research Group for Genomic Epidemiology, Technical University of Denmark, Henrik Danms Allé, Bygning 204, Kongens Lyngby 2800, Denmark
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Mendelson M, Laxminarayan R, Limmathurotsakul D, Kariuki S, Gyansa-Lutterodt M, Charani E, Singh S, Walia K, Gales AC, Mpundu M. Antimicrobial resistance and the great divide: inequity in priorities and agendas between the Global North and the Global South threatens global mitigation of antimicrobial resistance. Lancet Glob Health 2024; 12:e516-e521. [PMID: 38278160 DOI: 10.1016/s2214-109x(23)00554-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 11/12/2023] [Accepted: 11/22/2023] [Indexed: 01/28/2024]
Abstract
To limit the catastrophic effects of the increasing bacterial resistance to antimicrobials on health, food, environmental, and geopolitical security, and ensure that no country or region is left behind, a coordinated global approach is required. In this Viewpoint, we argue that the diverging resource availabilities, needs, and priorities of the Global North and the Global South in terms of the actions required to mitigate the antimicrobial resistance pandemic are a direct threat to success. We argue that evidence suggests a need to prioritise and support infection prevention interventions (ie, clean water and safe sanitation, increased vaccine coverage, and enhanced infection prevention measures for food production in the Global South contrary to the focus on research and development of new antibiotics in the Global North) and to recalibrate global funding resources to address this need. We call on global leaders to redress the current response, which threatens mitigation of the antimicrobial resistance pandemic.
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Affiliation(s)
- Marc Mendelson
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa.
| | | | - Direk Limmathurotsakul
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Samuel Kariuki
- Drugs for Neglected Diseases Initiative, East Africa Regional Office, Nairobi, Kenya; Kenya Medical Research Institute, Nairobi, Kenya
| | | | - Esmita Charani
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
| | - Sanjeev Singh
- Department of Infection Control and Epidemiology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, India
| | - Kamini Walia
- AMR Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | - Ana C Gales
- Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
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35
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Manaia CM, Aga DS, Cytryn E, Gaze WH, Graham DW, Guo J, Leonard AFC, Li L, Murray AK, Nunes OC, Rodriguez-Mozaz S, Topp E, Zhang T. The Complex Interplay Between Antibiotic Resistance and Pharmaceutical and Personal Care Products in the Environment. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2024; 43:637-652. [PMID: 36582150 DOI: 10.1002/etc.5555] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/29/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) are important environmental contaminants. Nonetheless, what drives the evolution, spread, and transmission of antibiotic resistance dissemination is still poorly understood. The abundance of ARB and ARGs is often elevated in human-impacted areas, especially in environments receiving fecal wastes, or in the presence of complex mixtures of chemical contaminants, such as pharmaceuticals and personal care products. Self-replication, mutation, horizontal gene transfer, and adaptation to different environmental conditions contribute to the persistence and proliferation of ARB in habitats under strong anthropogenic influence. Our review discusses the interplay between chemical contaminants and ARB and their respective genes, specifically in reference to co-occurrence, potential biostimulation, and selective pressure effects, and gives an overview of mitigation by existing man-made and natural barriers. Evidence and strategies to improve the assessment of human health risks due to environmental antibiotic resistance are also discussed. Environ Toxicol Chem 2024;43:637-652. © 2022 SETAC.
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Affiliation(s)
- Célia M Manaia
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Diana S Aga
- Chemistry Department, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Eddie Cytryn
- Institute of Soil, Water and Environmental Sciences, Volcani Institute, Agricultural Research Organization, Rishon-Lezion, Israel
| | - William H Gaze
- European Centre for Environment and Human Health, University of Exeter Medical School, Penryn Campus, Cornwall, UK
| | - David W Graham
- School of Engineering, Newcastle University, Newcastle, UK
| | - Jianhua Guo
- Australian Centre for Water and Environmental Biotechnology, The University of Queensland, St. Lucia, Queensland, Australia
| | - Anne F C Leonard
- European Centre for Environment and Human Health, University of Exeter Medical School, Penryn Campus, Cornwall, UK
| | - Liguan Li
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, The University of Hong Kong, Hong Kong, China
| | - Aimee K Murray
- European Centre for Environment and Human Health, University of Exeter Medical School, Penryn Campus, Cornwall, UK
| | - Olga C Nunes
- Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, University of Porto, Porto, Portugal
| | - Sara Rodriguez-Mozaz
- Catalan Institute for Water Research, Girona, Spain
- Universitat de Girona, Girona, Spain
| | - Edward Topp
- Agriculture and Agri-Food Canada, London, Ontario, Canada
- Department of Biology, University of Western Ontario, London, Ontario, Canada
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, The University of Hong Kong, Hong Kong, China
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36
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Xu W, Pan Z, Wu Y, An XL, Wang W, Adamovich B, Zhu YG, Su JQ, Huang Q. A database on the abundance of environmental antibiotic resistance genes. Sci Data 2024; 11:250. [PMID: 38413616 PMCID: PMC10899624 DOI: 10.1038/s41597-024-03084-8] [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: 10/05/2023] [Accepted: 02/20/2024] [Indexed: 02/29/2024] Open
Abstract
Antimicrobial resistance (AMR) poses a severe threat to global health. The wide distribution of environmental antibiotic resistance genes (ARGs), which can be transferred between microbiota, especially clinical pathogens and human commensals, contributed significantly to AMR. However, few databases on the spatiotemporal distribution, abundance, and health risk of ARGs from multiple environments have been developed, especially on the absolute level. In this study, we compiled the ARG occurrence data generated by a high-throughput quantitative PCR platform from 1,403 samples in 653 sampling sites across 18 provinces in China. The database possessed 291,870 records from five types of habitats on the abundance of 290 ARGs, as well as 8,057 records on the abundance of 30 mobile genetic elements (MGEs) from 2013 to 2020. These ARGs conferred resistance to major common types of antibiotics (a total of 15 types) and represented five major resistance mechanisms, as well as four risk ranks. The database can provide information for studies on the dynamics of ARGs and is useful for the health risk assessment of AMR.
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Affiliation(s)
- Wenjuan Xu
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhizhen Pan
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Yangyu Wu
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Xin-Li An
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Weiyi Wang
- College of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, 071002, China
| | - Boris Adamovich
- Research Laboratory of Aquatic Ecology, Belarusian State University, Minsk, 220030, Belarus
| | - Yong-Guan Zhu
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Jian-Qiang Su
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
| | - Qiansheng Huang
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
- National Basic Science Data Center, Beijing, 100190, China.
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Rossi F, Duchaine C, Tignat-Perrier R, Joly M, Larose C, Dommergue A, Turgeon N, Veillette M, Sellegri K, Baray JL, Amato P. Temporal variations of antimicrobial resistance genes in aerosols: A one-year monitoring at the puy de Dôme summit (Central France). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169567. [PMID: 38145686 DOI: 10.1016/j.scitotenv.2023.169567] [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: 09/27/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 12/27/2023]
Abstract
The recent characterization of antibiotic resistance genes (ARGs) in clouds evidenced that the atmosphere actively partakes in the global spreading of antibiotic resistance worldwide. Indeed, the outdoor atmosphere continuously receives large quantities of particles of biological origins, emitted from both anthropogenic or natural sources at the near Earth's surface. Nonetheless, our understanding of the composition of the atmospheric resistome, especially at mid-altitude (i.e. above 1000 m a.s.l.), remains largely limited. The atmosphere is vast and highly dynamic, so that the diversity and abundance of ARGs are expected to fluctuate both spatially and temporally. In this work, the abundance and diversity of ARGs were assessed in atmospheric aerosol samples collected weekly between July 2016 and August 2017 at the mountain site of puy de Dôme (1465 m a.s.l., central France). Our results evidence the presence of 33 different subtypes of ARGs in atmospheric aerosols, out of 34 assessed, whose total concentration fluctuated seasonally from 59 to 1.1 × 105 copies m-3 of air. These were heavily dominated by genes from the quinolone resistance family, notably the qepA gene encoding efflux pump mechanisms, which represented >95 % of total ARGs concentration. Its abundance positively correlated with that of bacteria affiliated with the genera Kineococcus, Neorhizobium, Devosia or Massilia, ubiquitous in soils. This, along with the high abundance of Sphingomonas species, points toward a large contribution of natural sources to the airborne ARGs. Nonetheless, the increased contribution of macrolide resistance (notably the erm35 gene) during winter suggests a sporadic diffusion of ARGs from human activities. Our observations depict the atmosphere as an important vector of ARGs from terrestrial sources. Therefore, monitoring ARGs in airborne microorganisms appears necessary to fully understand the dynamics of antimicrobial resistances in the environment and mitigate the threats they may represent.
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Affiliation(s)
- Florent Rossi
- Département de biochimie, de microbiologie et de bio-informatique, Faculté́ des sciences et de génie, Université́ Laval, Québec, Canada; Centre de recherche de l'institut de cardiologie et de pneumologie de Québec, Québec, Canada
| | - Caroline Duchaine
- Département de biochimie, de microbiologie et de bio-informatique, Faculté́ des sciences et de génie, Université́ Laval, Québec, Canada; Centre de recherche de l'institut de cardiologie et de pneumologie de Québec, Québec, Canada; Canada Research Chair on Bioaerosols, Canada.
| | - Romie Tignat-Perrier
- Laboratoire Ampère, École Centrale de Lyon, CNRS, Université de Lyon, Ecully, France; Institut des Géosciences de l'Environnement, Université Grenoble Alpes, CNRS, IRD, INRAE, Grenoble INP, Grenoble, France
| | - Muriel Joly
- Université Clermont Auvergne, CNRS, Institut de Chimie de Clermont-Ferrand, Clermont-Ferrand, France
| | - Catherine Larose
- Laboratoire Ampère, École Centrale de Lyon, CNRS, Université de Lyon, Ecully, France
| | - Aurélien Dommergue
- Institut des Géosciences de l'Environnement, Université Grenoble Alpes, CNRS, IRD, INRAE, Grenoble INP, Grenoble, France
| | - Nathalie Turgeon
- Département de biochimie, de microbiologie et de bio-informatique, Faculté́ des sciences et de génie, Université́ Laval, Québec, Canada; Centre de recherche de l'institut de cardiologie et de pneumologie de Québec, Québec, Canada
| | - Marc Veillette
- Département de biochimie, de microbiologie et de bio-informatique, Faculté́ des sciences et de génie, Université́ Laval, Québec, Canada; Centre de recherche de l'institut de cardiologie et de pneumologie de Québec, Québec, Canada
| | - Karine Sellegri
- Université Clermont Auvergne, CNRS, Laboratoire de Météorologie physique, UMR 6016, Clermont-Ferrand, France
| | - Jean-Luc Baray
- Université Clermont Auvergne, CNRS, Observatoire de physique du Globe de Clermont-Ferrand, UAR 833, Clermont-Ferrand, France; Université Clermont Auvergne, CNRS, Laboratoire de Météorologie physique, UMR 6016, Clermont-Ferrand, France
| | - Pierre Amato
- Université Clermont Auvergne, CNRS, Institut de Chimie de Clermont-Ferrand, Clermont-Ferrand, France
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38
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Scicchitano D, Babbi G, Palladino G, Turroni S, Mekonnen YT, Laczny C, Wilmes P, Leekitcharoenphon P, Castagnetti A, D'Amico F, Brigidi P, Savojardo C, Manfreda G, Martelli P, De Cesare A, Aarestrup FM, Candela M, Rampelli S. Routes of dispersion of antibiotic resistance genes from the poultry farm system. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169086. [PMID: 38056648 DOI: 10.1016/j.scitotenv.2023.169086] [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: 09/15/2023] [Revised: 12/01/2023] [Accepted: 12/01/2023] [Indexed: 12/08/2023]
Abstract
Poultry farms are hotspots for the development and spread of antibiotic resistance genes (ARGs), due to high stocking densities and extensive use of antibiotics, posing a threat of spread and contagion to workers and the external environment. Here, we applied shotgun metagenome sequencing to characterize the gut microbiome and resistome of poultry, workers and their households - also including microbiomes from the internal and external farm environment - in three different farms in Italy during a complete rearing cycle. Our results highlighted a relevant overlap among the microbiomes of poultry, workers, and their families (gut and skin), with clinically relevant ARGs and associated mobile elements shared in both poultry and human samples. On a finer scale, the reconstruction of species-level genome bins (SGBs) allowed us to delineate the dynamics of microorganism and ARGs dispersion from farm systems. We found the associations with worker microbiomes representing the main route of ARGs dispersion from poultry to human populations. Collectively, our findings clearly demonstrate the urgent need to implement more effective procedures to counteract ARGs dispersion from poultry food systems and the relevance of metagenomics-based metacommunity approaches to monitor the ARGs dispersion process for the safety of the working environment on farms.
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Shetty BD, Pandey PK, Mai K. Microbial diversity in dairy manure environment under liquid-solid separation systems. ENVIRONMENTAL TECHNOLOGY 2024:1-17. [PMID: 38310325 DOI: 10.1080/09593330.2024.2309481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/10/2024] [Indexed: 02/05/2024]
Abstract
In dairy manure, a wide array of microorganisms, including many pathogens, survive and grow under suitable conditions. This microbial community offers a tremendous opportunity for studying animal health, the transport of microbes into the soil, air, and water, and consequential impacts on public health. The aim of this study was to assess the impacts of manure management practices on the microbial community of manure. The key novelty of this work is to identify the impacts of various stages of manure management on microbes living in dairy manure. In general, the majority of dairy farms in California use a flush system to manage dairy manure, which involves liquid-solid separations. To separate liquid and solid in manure, Multi-stage Alternate Dairy Effluent Management Systems (ADEMS) that use mechanical separation systems (MSS) or weeping wall separation systems (WWSS) are used. Thus, this study was conducted to understand how these manure management systems affect the microbial community. We studied the microbial communities in the WWSS and MSS separation systems, as well as in the four stages of the ADEMS. The 16S rRNA gene from the extracted genomic DNA of dairy manure was amplified using the NovoSeq Illumina next-generation sequencing platform. The sequencing data were used to perform the analysis of similarity (ANOSIM) and multi-response permutation procedure (MRRP) statistical tests, and the results showed that microbial communities among WWSS and MSS were significantly different (p < 0.05). These findings have significant practical implications for the design and implementation of manure management practices in dairy farms.
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Affiliation(s)
- B Dharmaveer Shetty
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Pramod K Pandey
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Kelly Mai
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
- Mechanisms of Disease and Translational Research, School of Medical Science, University of New South Wales, Sydney, Australia
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40
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Yu Z, Wang Q, Pinilla-Redondo R, Madsen JS, Clasen KAD, Ananbeh H, Olesen AK, Gong Z, Yang N, Dechesne A, Smets B, Nesme J, Sørensen SJ. Horizontal transmission of a multidrug-resistant IncN plasmid isolated from urban wastewater. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 271:115971. [PMID: 38237397 DOI: 10.1016/j.ecoenv.2024.115971] [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: 11/07/2023] [Revised: 01/04/2024] [Accepted: 01/08/2024] [Indexed: 02/05/2024]
Abstract
Wastewater treatment plants (WWTPs) are considered reservoirs of antibiotic resistance genes (ARGs). Given that plasmid-mediated horizontal gene transfer plays a critical role in disseminating ARGs in the environment, it is important to inspect the transfer potential of transmissible plasmids to have a better understanding of whether these mobile ARGs can be hosted by opportunistic pathogens and should be included in One Health's considerations. In this study, we used a fluorescent-reporter-gene based exogenous isolation approach to capture extended-spectrum beta-lactamases encoding mobile determinants from sewer microbiome samples that enter an urban water system (UWS) in Denmark. After screening and sequencing, we isolated a ∼73 Kbp IncN plasmid (pDK_DARWIN) that harboured and expressed multiple ARGs. Using a dual fluorescent reporter gene system, we showed that this plasmid can transfer into resident urban water communities. We demonstrated the transfer of pDK_DARWIN to microbiome members of both the sewer (in the upstream UWS compartment) and wastewater treatment (in the downstream UWS compartment) microbiomes. Sequence similarity search across curated plasmid repositories revealed that pDK_DARWIN derives from an IncN backbone harboured by environmental and nosocomial Enterobacterial isolates. Furthermore, we searched for pDK_DARWIN sequence matches in UWS metagenomes from three countries, revealing that this plasmid can be detected in all of them, with a higher relative abundance in hospital sewers compared to residential sewers. Overall, this study demonstrates that this IncN plasmid is prevalent across Europe and an efficient vector capable of disseminating multiple ARGs in the urban water systems.
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Affiliation(s)
- Zhuofeng Yu
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Qinqin Wang
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Rafael Pinilla-Redondo
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Jonas Stenløkke Madsen
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Kamille Anna Dam Clasen
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Hanadi Ananbeh
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00 Brno, Czech Republic
| | - Asmus Kalckar Olesen
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Zhuang Gong
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Nan Yang
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
| | - Arnaud Dechesne
- Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet 115, DK-2800 Kgs, Lyngby, Denmark
| | - Barth Smets
- Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet 115, DK-2800 Kgs, Lyngby, Denmark
| | - Joseph Nesme
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
| | - Søren Johannes Sørensen
- Section of Microbiology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
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41
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Fayaz T, Renuka N, Ratha SK. Antibiotic occurrence, environmental risks, and their removal from aquatic environments using microalgae: Advances and future perspectives. CHEMOSPHERE 2024; 349:140822. [PMID: 38042426 DOI: 10.1016/j.chemosphere.2023.140822] [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: 05/21/2023] [Revised: 10/14/2023] [Accepted: 11/26/2023] [Indexed: 12/04/2023]
Abstract
Antibiotic pollution has caused a continuous increase in the development of antibiotic-resistant bacteria and antibiotic-resistant genes (ARGs) in aquatic environments worldwide. Algae-based bioremediation technology is a promising eco-friendly means to remove antibiotics and highly resistant ARGs, and the generated biomass can be utilized to produce value-added products of industrial significance. This review discussed the prevalence of antibiotics and ARGs in aquatic environments and their environmental risks to non-target organisms. The potential of various microalgal species for antibiotic and ARG removal, their mechanisms, strategies for enhanced removal, and future directions were reviewed. Antibiotics can be degraded into non-toxic compounds in microalgal cells through the action of extracellular polymeric substances, glutathione-S-transferase, and cytochrome P450; however, antibiotic stress can alter microalgal gene expression and growth. This review also deciphered the effect of antibiotic stress on microalgal physiology, biomass production, and biochemical composition that can impact their commercial applications.
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Affiliation(s)
- Tufail Fayaz
- Algal Biotechnology Laboratory, Department of Botany, Central University of Punjab, Bathinda, 151401, India
| | - Nirmal Renuka
- Algal Biotechnology Laboratory, Department of Botany, Central University of Punjab, Bathinda, 151401, India.
| | - Sachitra Kumar Ratha
- Algology Laboratory, CSIR-National Botanical Research Institute, Lucknow, 226001, India
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42
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La Manna P, De Carluccio M, Oliva G, Vigliotta G, Rizzo L. Urban wastewater disinfection by iron chelates mediated solar photo-Fenton: Effects on seven pathogens and antibiotic resistance transfer potential. WATER RESEARCH 2024; 249:120966. [PMID: 38070340 DOI: 10.1016/j.watres.2023.120966] [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: 08/19/2023] [Revised: 10/25/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024]
Abstract
The effects of solar photo-Fenton (SPF) process mediated by the iron chelate Fe3+ imminodisuccinic acid (Fe:IDS) on both the inactivation of seven relevant pathogens and the potential for antibiotic resistance transfer (degradation of antibiotic resistance genes (ARGs) and after treatment regrowth), in real secondary treated urban wastewater, were investigated for the first time. A comparison with results obtained by sunlight/H2O2 process and Fe3+ ethylenediaminedisuccinic acid (Fe:EDDS) SPF was also carried out. ARGs were quantified by polymerase chain reaction (PCR) in samples before and after (3 h) the treatment. The persistence of the selected pathogens and ARGs was also evaluated in regrowth tests (72 h) under environmentally mimicking conditions. Fe:IDS SPF resulted to be more effective (from 1.4 log removal for Staphylococcus spp. to 4.3 log removal for Escherichia coli) than Fe:EDDS SPF (from 0.8 log removal for Pseudomonas aeruginosa to 2.0 log removal for Total coliphages) and sunlight/H2O2 (from 1.2 log removal for Clostridium perfringens to 3.3 log removal for E. coli) processes for the seven pathogens investigated. Potential pathogens regrowth was also severely affected, as no substantial regrowth was observed, both in presence and absence of catalase. A similar trend was observed for ARGs removal too (until 0.001 fold change expression for qnrS after 3 h). However, a poor effect and a slight increase in fold change was observed after treatment especially for gyrA, mefA and intl1. Overall, the effect of the investigated processes on ARGs was found to be ARG dependent. Noteworthy, coliphages can regrow after sunlight/H2O2 treatment unlike SPF processes, increasing the risk of antibiotic resistance transfer by transduction mechanism. In conclusion, Fe:IDS SPF is an attractive solution for tertiary treatment of urban wastewater in small wastewater treatment plants as it can provide effective disinfection and a higher protection against antibiotic resistance transfer than the other investigated processes.
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Affiliation(s)
- Pellegrino La Manna
- Water Science and Technology group (WaSTe), Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
| | - Marco De Carluccio
- Water Science and Technology group (WaSTe), Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
| | - Gianmaria Oliva
- Department of Chemistry and Biology, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
| | - Giovanni Vigliotta
- Department of Chemistry and Biology, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
| | - Luigi Rizzo
- Water Science and Technology group (WaSTe), Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy.
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43
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Djordjevic SP, Jarocki VM, Seemann T, Cummins ML, Watt AE, Drigo B, Wyrsch ER, Reid CJ, Donner E, Howden BP. Genomic surveillance for antimicrobial resistance - a One Health perspective. Nat Rev Genet 2024; 25:142-157. [PMID: 37749210 DOI: 10.1038/s41576-023-00649-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2023] [Indexed: 09/27/2023]
Abstract
Antimicrobial resistance (AMR) - the ability of microorganisms to adapt and survive under diverse chemical selection pressures - is influenced by complex interactions between humans, companion and food-producing animals, wildlife, insects and the environment. To understand and manage the threat posed to health (human, animal, plant and environmental) and security (food and water security and biosecurity), a multifaceted 'One Health' approach to AMR surveillance is required. Genomic technologies have enabled monitoring of the mobilization, persistence and abundance of AMR genes and mutations within and between microbial populations. Their adoption has also allowed source-tracing of AMR pathogens and modelling of AMR evolution and transmission. Here, we highlight recent advances in genomic AMR surveillance and the relative strengths of different technologies for AMR surveillance and research. We showcase recent insights derived from One Health genomic surveillance and consider the challenges to broader adoption both in developed and in lower- and middle-income countries.
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Affiliation(s)
- Steven P Djordjevic
- Australian Institute for Microbiology and Infection, University of Technology Sydney, Sydney, New South Wales, Australia.
- Australian Centre for Genomic Epidemiological Microbiology, University of Technology Sydney, Sydney, New South Wales, Australia.
| | - Veronica M Jarocki
- Australian Institute for Microbiology and Infection, University of Technology Sydney, Sydney, New South Wales, Australia
- Australian Centre for Genomic Epidemiological Microbiology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Torsten Seemann
- Centre for Pathogen Genomics, University of Melbourne, Melbourne, Victoria, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Max L Cummins
- Australian Institute for Microbiology and Infection, University of Technology Sydney, Sydney, New South Wales, Australia
- Australian Centre for Genomic Epidemiological Microbiology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Anne E Watt
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Barbara Drigo
- UniSA STEM, University of South Australia, Adelaide, South Australia, Australia
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Ethan R Wyrsch
- Australian Institute for Microbiology and Infection, University of Technology Sydney, Sydney, New South Wales, Australia
- Australian Centre for Genomic Epidemiological Microbiology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Cameron J Reid
- Australian Institute for Microbiology and Infection, University of Technology Sydney, Sydney, New South Wales, Australia
- Australian Centre for Genomic Epidemiological Microbiology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Erica Donner
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
- Cooperative Research Centre for Solving Antimicrobial Resistance in Agribusiness, Food, and Environments (CRC SAAFE), Adelaide, South Australia, Australia
| | - Benjamin P Howden
- Centre for Pathogen Genomics, University of Melbourne, Melbourne, Victoria, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne at the Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
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44
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Essack SY, Lenglet A. Bacterial antimicrobial resistance burden in Africa: accuracy, action, and alternatives. Lancet Glob Health 2024; 12:e171-e172. [PMID: 38134945 DOI: 10.1016/s2214-109x(23)00587-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023]
Affiliation(s)
- Sabiha Y Essack
- Antimicrobial Research Unit, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa; International Centre for Antimicrobial Resistance Solutions (ICARS), Copenhagen, Denmark.
| | - Annick Lenglet
- Antimicrobial Research Unit, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa; International Centre for Antimicrobial Resistance Solutions (ICARS), Copenhagen, Denmark
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45
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Bogri A, Jensen EEB, Borchert AV, Brinch C, Otani S, Aarestrup FM. Transmission of antimicrobial resistance in the gut microbiome of gregarious cockroaches: the importance of interaction between antibiotic exposed and non-exposed populations. mSystems 2024; 9:e0101823. [PMID: 38095429 PMCID: PMC10805027 DOI: 10.1128/msystems.01018-23] [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: 09/21/2023] [Accepted: 11/17/2023] [Indexed: 01/24/2024] Open
Abstract
Antimicrobial resistance (AMR) is a major global health concern, further complicated by its spread via the microbiome bacterial members. While mathematical models discuss AMR transmission through the symbiotic microbiome, experimental studies are scarce. Herein, we used a gregarious cockroach, Pycnoscelus surinamensis, as an in vivo animal model for AMR transmission investigations. We explored whether the effect of antimicrobial treatment is detectable with metagenomic sequencing, and whether AMR genes can be spread and established in unchallenged (not treated with antibiotics) individuals following contact with treated donors, and under various frequencies of interaction. Gut and soil substrate microbiomes were investigated by metagenomic sequencing for bacterial community composition and resistome profiling. We found that tetracycline treatment altered the treated gut microbiome by decreasing bacterial diversity and increasing the abundance of tetracycline resistance genes. Untreated cockroaches that interacted with treated donors also had elevated tetracycline resistance. The levels of resistance differed depending on the magnitude and frequency of donor transfer. Additionally, treated donors showed signs of microbiome recovery due to their interaction with the untreated ones. Similar patterns were also recorded in the soil substrate microbiomes. Our results shed light on how interacting microbiomes facilitate AMR gene transmission to previously unchallenged hosts, a dynamic influenced by the interaction frequencies, using an in vivo model to validate theoretical AMR transmission models.IMPORTANCEAntimicrobial resistance is a rising threat to human and animal health. The spread of resistance through the transmission of the symbiotic gut microbiome is of concern and has been explored in theoretical modeling studies. In this study, we employ gregarious insect populations to examine the emergence and transmission of antimicrobial resistance in vivo and validate modeling hypotheses. We find that antimicrobial treatment increases the levels of resistance in treated populations. Most importantly, we show that resistance increased in untreated populations after interacting with the treated ones. The level of resistance transmission was affected by the magnitude and frequency of population mixing. Our results highlight the importance of microbial transmission in the spread of antimicrobial resistance.
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Affiliation(s)
- Amalia Bogri
- Research Group for Genomic Epidemiology, Technical University of Denmark, Kgs., Lyngby, Denmark
| | | | - Asbjørn Vedel Borchert
- Research Group for Genomic Epidemiology, Technical University of Denmark, Kgs., Lyngby, Denmark
| | - Christian Brinch
- Research Group for Genomic Epidemiology, Technical University of Denmark, Kgs., Lyngby, Denmark
| | - Saria Otani
- Research Group for Genomic Epidemiology, Technical University of Denmark, Kgs., Lyngby, Denmark
| | - Frank M. Aarestrup
- Research Group for Genomic Epidemiology, Technical University of Denmark, Kgs., Lyngby, Denmark
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46
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Tong CH, Huo ZP, Diao L, Xiao DY, Zhao RN, Zeng ZL, Xiong WG. Core and variable antimicrobial resistance genes in the gut microbiomes of Chinese and European pigs. Zool Res 2024; 45:189-200. [PMID: 38199973 PMCID: PMC10839664 DOI: 10.24272/j.issn.2095-8137.2023.012] [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: 04/19/2023] [Accepted: 09/08/2023] [Indexed: 01/12/2024] Open
Abstract
Monitoring the prevalence of antimicrobial resistance genes (ARGs) is vital for addressing the global crisis of antibiotic-resistant bacterial infections. Despite its importance, the characterization of ARGs and microbiome structures, as well as the identification of indicators for routine ARG monitoring in pig farms, are still lacking, particularly concerning variations in antimicrobial exposure in different countries or regions. Here, metagenomics and random forest machine learning were used to elucidate the ARG profiles, microbiome structures, and ARG contamination indicators in pig manure under different antimicrobial pressures between China and Europe. Results showed that Chinese pigs exposed to high-level antimicrobials exhibited higher total and plasmid-mediated ARG abundances compared to those in European pigs ( P<0.05). ANT(6)-Ib, APH(3')-IIIa, and tet(40) were identified as shared core ARGs between the two pig populations. Furthermore, the core ARGs identified in pig populations were correlated with those found in human populations within the same geographical regions. Lactobacillus and Prevotella were identified as the dominant genera in the core microbiomes of Chinese and European pigs, respectively. Forty ARG markers and 43 biomarkers were able to differentiate between the Chinese and European pig manure samples with accuracies of 100% and 98.7%, respectively. Indicators for assessing ARG contamination in Chinese and European pigs also achieved high accuracy ( r=0.72-0.88). Escherichia flexneri in both Chinese and European pig populations carried between 21 and 37 ARGs. The results of this study emphasize the importance of global collaboration in reducing antimicrobial resistance risk and provide validated indicators for evaluating the risk of ARG contamination in pig farms.
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Affiliation(s)
- Cui-Hong Tong
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Zhi-Peng Huo
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Lu Diao
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Dan-Yu Xiao
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Ruo-Nan Zhao
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Zhen-Ling Zeng
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Reference Laboratory of Veterinary Drug Residues, South China Agricultural University, Guangzhou, Guangdong 510642, China. E-mail:
| | - Wen-Guang Xiong
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, South China Agricultural University, Guangzhou, Guangdong 510642, China
- National Reference Laboratory of Veterinary Drug Residues, South China Agricultural University, Guangzhou, Guangdong 510642, China. E-mail:
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Tondi S, Siena E, Essaghir A, Bozzetti B, Bechtold V, Scaillet A, Clemente B, Marrocco M, Sammicheli C, Tavarini S, Micoli F, Oldrini D, Pezzicoli A, Di Fede M, Brazzoli M, Ulivieri C, Schiavetti F. Molecular Signature of Monocytes Shaped by the Shigella sonnei 1790-Generalized Modules for Membrane Antigens Vaccine. Int J Mol Sci 2024; 25:1116. [PMID: 38256189 PMCID: PMC10816432 DOI: 10.3390/ijms25021116] [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: 11/15/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
Shigellosis, an acute gastroenteritis infection caused by Shigella species, remains a public health burden in developing countries. Recently, many outbreaks due to Shigella sonnei multidrug-resistant strains have been reported in high-income countries, and the lack of an effective vaccine represents a major hurdle to counteract this bacterial pathogen. Vaccine candidates against Shigella sonnei are under clinical development, including a Generalized Modules for Membrane Antigens (GMMA)-based vaccine. The mechanisms by which GMMA-based vaccines interact and activate human immune cells remain elusive. Our previous study provided the first evidence that both adaptive and innate immune cells are targeted and functionally shaped by the GMMA-based vaccine. Here, flow cytometry and confocal microscopy analysis allowed us to identify monocytes as the main target population interacting with the S. sonnei 1790-GMMA vaccine on human peripheral blood. In addition, transcriptomic analysis of this cell population revealed a molecular signature induced by 1790-GMMA mostly correlated with the inflammatory response and cytokine-induced processes. This also impacts the expression of genes associated with macrophages' differentiation and T cell regulation, suggesting a dual function for this vaccine platform both as an antigen carrier and as a regulator of immune cell activation and differentiation.
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Affiliation(s)
- Serena Tondi
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
- Department of Life Sciences, University of Siena, 53100 Siena, Italy
| | - Emilio Siena
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
| | - Ahmed Essaghir
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
| | - Benoît Bozzetti
- Preclinical Research & Development, GSK, 1330 Rixensart, Belgium
| | - Viviane Bechtold
- Preclinical Research & Development, GSK, 1330 Rixensart, Belgium
| | - Aline Scaillet
- Preclinical Research & Development, GSK, 1330 Rixensart, Belgium
| | - Bruna Clemente
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
| | - Mariateresa Marrocco
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
- Department of Life Sciences, University of Siena, 53100 Siena, Italy
| | | | - Simona Tavarini
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
| | - Francesca Micoli
- GSK Vaccines Institute for Global Health S.R.L. (GVGH), 53100 Siena, Italy
| | - Davide Oldrini
- GSK Vaccines Institute for Global Health S.R.L. (GVGH), 53100 Siena, Italy
| | | | - Martina Di Fede
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
| | - Michela Brazzoli
- Preclinical Research & Development, GSK, 53100 Siena, Italy; (S.T.)
| | - Cristina Ulivieri
- Department of Life Sciences, University of Siena, 53100 Siena, Italy
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Gholipour S, Shamsizadeh Z, Halabowski D, Gwenzi W, Nikaeen M. Combating antibiotic resistance using wastewater surveillance: Significance, applications, challenges, and future directions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168056. [PMID: 37914125 DOI: 10.1016/j.scitotenv.2023.168056] [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: 07/05/2023] [Revised: 10/19/2023] [Accepted: 10/21/2023] [Indexed: 11/03/2023]
Abstract
The global increase of antibiotic resistance (AR) and resistant infections call for effective surveillance methods for understanding and mitigating (re)-emerging public health risks. Wastewater surveillance (WS) of antibiotic resistance is an emerging, but currently under-utilized decision-support tool in public health systems. Recent years have witnessed an increase in evidence linking antibiotic resistance in wastewaters to that of the community. To date, very few comprehensive reviews exist on the application of WS to understand AR and resistant infections in population. Current and emerging AR detection methods, and their merits and limitations are discussed. Wastewater surveillance has several merits relative to individual testing, including; (1) low per capita testing cost, (2) high spatial coverage, (3) low requirement for diagnostic equipment, and (4) detection of health threats ahead of real outbreaks. The applications of WS as an early warning system and decision support tool to understand and mitigate AR are discussed. Wastewater surveillance could be a tool of choice in low-income settings lacking resources and diagnostic facilities for individual testing. To demonstrate the utility of WS, empirical evidence from field case studies is presented. However, constraints still exist, including; (1) lack of standardized protocols, (2) the clinical utility and sensitivity of WS-based data, (3) uncertainties in relating WS data to pathogenic and virulent bacteria, and (4) whether or not AR in stools and ultimately wastewater represent the complete human resistome. Finally, further prospects are presented, include knowledge gaps on; (1) development of low-cost biosensors for AR, (2) development of WS protocols (sampling, processing, interpretation), (3) further pilot scale studies to understand the opportunities and limits of WS, and (4) development of computer-based analytical tools to facilitate rapid data collection, visualization and interpretation. Therefore, the present paper discusses the principles, opportunities, and constraints of wastewater surveillance applications to understand AR and safeguard public health.
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Affiliation(s)
- Sahar Gholipour
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Zahra Shamsizadeh
- Department of Environmental Health Engineering, School of Health, Larestan University of Medical Sciences, Larestan, Iran
| | - Dariusz Halabowski
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, Lodz, Poland
| | - Willis Gwenzi
- Universität Kassel, Fachbereich Ökologische Agrarwissenschaften Fachgebiet Grünlandwissenschaft und Nachwachsende Rohstoffe, Steinstr. 19, 37249 Witzenhausen, Germany; Leibniz-Institut für Agrartechnik und Bioökonomie e.V. Max-Eyth-Allee 100, D-14469 Potsdam, Germany.
| | - Mahnaz Nikaeen
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran; Environment Research Center, Research Institute for Primordial Prevention of Non-Communicable Diseases, Isfahan University of Medical Sciences, Isfahan, Iran.
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49
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Zhang L, Adyari B, Hou L, Yang X, Gad M, Wang Y, Ma C, Sun Q, Tang Q, Zhang Y, Yu CP, Hu A. Mass-immigration shapes the antibiotic resistome of wastewater treatment plants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168193. [PMID: 37914134 DOI: 10.1016/j.scitotenv.2023.168193] [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: 10/23/2023] [Accepted: 10/27/2023] [Indexed: 11/03/2023]
Abstract
Wastewater treatment plants (WWTPs) are the hotspots for the spread of antibiotic resistance genes (ARGs) into the environment. Nevertheless, a comprehensive assessment of the city-level and short-term daily (inter-day) variations of ARG profiles in the whole process (influent-INF, activated sludge-AS and effluent-EF) of WWTPs is still lacking. Here, 285 ARGs and ten mobile gene elements were monitored in seven WWTPs in Xiamen for seven days via high-throughput qPCR. The average daily load of ARGs to WWTPs was about 1.32 × 1020 copies/d, and a total of 1.56 × 1018 copies/d was discharged to the environment across the entire city. Stochastic processes were the main force determining the assembly of ARG communities during sampling campaign, with their relative importance ranked in the order of INF > EFF > AS. There're little daily variations in ARG richness, abundance, β-diversity composition as well as assembly mechanisms. The results of SourceTracker, variation partitioning analysis, and hierarchical partitioning analysis indicated that bacteria and ARGs from upstream treatment processes played an increasingly dominant role in shaping ARG communities in AS and EFF, respectively, suggesting the importance of mass-immigration of bacteria and ARGs from the source on ARG transport in wastewater treatment processes. This emphasizes the need to revise the way we mitigate ARG contamination but focus on the source of ARGs in urban wastewater.
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Affiliation(s)
- Lanping Zhang
- CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Bob Adyari
- CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Department of Environmental Engineering, Universitas Pertamina, Jakarta 12220, Indonesia
| | - Liyuan Hou
- Department of Civil and Environmental Engineering, Utah State University, UT 84322, USA; Utah Water Research Laboratory, Utah State University, Logan, UT 84322, USA
| | - Xiaoyong Yang
- School of Environmental and Material Engineering, Yantai University, 30 Qingquan Road, Yantai 264005, China
| | - Mahmoud Gad
- Water Pollution Research Department, National Research Centre, Giza 12622, Egypt
| | - Yuwen Wang
- CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Cong Ma
- Xiamen Municipal Environmental Technology Co., Ltd., Xiamen 361001, China
| | - Qian Sun
- CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Qiang Tang
- Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China
| | - Yifeng Zhang
- Department of Environmental and Resource Engineering, Technical University of Denmark, DK-2800 Lyngby, Denmark
| | - Chang-Ping Yu
- CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Anyi Hu
- CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
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50
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Steinke K, Pamp SJ, Munk P. MAGICIAN: MAG simulation for investigating criteria for bioinformatic analysis. BMC Genomics 2024; 25:55. [PMID: 38216924 PMCID: PMC10785454 DOI: 10.1186/s12864-023-09912-2] [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: 07/28/2023] [Accepted: 12/15/2023] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND The possibility of recovering metagenome-assembled genomes (MAGs) from sequence reads allows for further insights into microbial communities and their members, possibly even analyzing such sequences with tools designed for single-isolate genomes. As result quality depends on sequence quality, performance of tools for single-isolate genomes on MAGs should be tested beforehand. Bioinformatics can be leveraged to quickly create varied synthetic test sets with known composition for this purpose. RESULTS We present MAGICIAN, a flexible, user-friendly pipeline for the simulation of MAGs. MAGICIAN combines a synthetic metagenome simulator with a metagenomic assembly and binning pipeline to simulate MAGs based on user-supplied input genomes, allowing users to test performance of tools on MAGs while having a ground truth to compare results to. Using MAGICIAN, we found that even very slight (1%) changes in depth of coverage can drastically affect whether a genome can be recovered. We also demonstrate the use of simulated MAGs by evaluating the suitability of such genomes obtained with MAGICIAN's current default pipeline for analysis with the antimicrobial resistance gene identification tool ResFinder. CONCLUSIONS Using MAGICIAN, it is possible to simulate MAGs which, while generally high in quality, reflect issues encountered with real-world data, thus providing realistic best-case data. Evaluating the results of ResFinder analysis of these genomes revealed a risk for plausible-looking false positives, which underlines the need for pipeline validation so that researchers are aware of the potential issues when interpreting real-world data. Furthermore, the effects of fluctuations in depth of coverage on genome recovery in our simulated "random sequencing" warrant further investigation and indicate random subsampling of reads may affect discovery of more genomes.
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Affiliation(s)
- Kat Steinke
- Center for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kemitorvet 204, 2800, Kongens Lyngby, Denmark
- Department of Clinical Microbiology, Odense University Hospital, J. B. Winsløws Vej 21, 5000, Odense, Denmark
| | - Sünje J Pamp
- Center for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kemitorvet 204, 2800, Kongens Lyngby, Denmark
| | - Patrick Munk
- Center for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kemitorvet 204, 2800, Kongens Lyngby, Denmark.
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