Towards monitoring of antimicrobial resistance in the environment: For what reasons, how to implement it, and what are the data needs?

Environment International, Год журнала: 2023, Номер 178, С. 108089 - 108089

Опубликована: Июль 6, 2023

Antimicrobial resistance (AMR) is a global threat to human and animal health well-being. To understand AMR dynamics, it important monitor resistant bacteria genes in all relevant settings. However, while monitoring of has been implemented clinical veterinary settings, comprehensive the environment almost completely lacking. Yet, environmental dimension critical for understanding dissemination routes selection microorganisms, as well risks related AMR. Here, we outline knowledge gaps that impede implementation monitoring. These include lack 'normal' background levels AMR, definition high-risk environments transmission, poor concentrations antibiotics other chemical agents promote selection. Furthermore, there methods detect are not already circulating among pathogens. We conclude these need be addressed before routine can on large scale. data bridging different sectors needed order fill gaps, which means some level national, regional surveillance must happen even without scientific questions answered. With possibilities opened up by rapidly advancing technologies, time gaps. Doing so will allow specific actions against development spread pathogens thereby safeguard wellbeing humans animals.

Язык: Английский

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Potential Causes of Spread of Antimicrobial Resistance and Preventive Measures in One Health Perspective-A Review

Infection and Drug Resistance, Год журнала: 2023, Номер Volume 16, С. 7515 - 7545

Опубликована: Дек. 1, 2023

Abstract: Antimicrobial resistance, referring to microorganisms' capability subsist and proliferate even when there are antimicrobials is a foremost threat public health globally. The appearance of antimicrobial resistance can be ascribed anthropological, animal, environmental factors. Human-related causes include overuse misuse in medicine, antibiotic-containing cosmetics biocides utilization, inadequate sanitation hygiene settings. Prophylactic therapeutic overuse, using as feed additives, microbes resistant antibiotics genes animal excreta, residue found animal-origin food excreta animals related contributive factors for the antibiotic emergence spread. Environmental including naturally existing genes, improper disposal unused antimicrobials, contamination from waste settings, farms, pharmaceutical industries, use agricultural chemicals facilitatet its Wildlife has plausible role Adopting one-health approach involving properly humans, improving spaces implementing coordinated governmental regulations crucial combating resistance. Collaborative cooperative involvement stakeholders public, veterinary ecological sectors circumvent problem effectively. Keywords: one health, gene, environment, wildlife

Язык: Английский

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Heavy metal co-resistance with antibiotics amongst bacteria isolates from an open dumpsite soil

Heliyon, Год журнала: 2023, Номер 9(2), С. e13457 - e13457

Опубликована: Фев. 1, 2023

Heavy metal co-resistance with antibiotics appears to be synergistic in bacterial isolates via similar mechanisms. This synergy has the potential amplify resistance genes environment which can transferred into clinical settings. The aim of this study was assess heavy metals bacteria from dumpsite addition physicochemical analysis. Sample collection, analysis, and enumeration total heterotrophic counts (THBC) were all carried out using standard existing protocols. Identified subjected sensitivity test Kirby Bauer disc diffusion technique resulting multidrug resistant (MDR) tolerance agar dilution increasing concentrations (50, 100, 150, 200 250 μg/ml) our metals. THBC ranged 6.68 7.92 × 105 cfu/g. Out 20 sensitivity, 50% (n = 10) showed multiple drug these B. subtilis, cereus, C. freundii, P. aeruginosa, Enterobacter sp, E. coli 5). At lowest concentration (50 μg/ml), MDR tolerated metals, but at μg/ml, apart cadmium lead, 100% sensitive chromium, vanadium cobalt. control isolate only cobalt chromium 50 other level shown by is a call for concern.

Язык: Английский

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Occurrence and dissemination of antibiotics and antibiotic resistance in aquatic environment and its ecological implications: a review

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(35), С. 47505 - 47529

Опубликована: Июль 19, 2024

Язык: Английский

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Healthcare as a driver, reservoir and amplifier of antimicrobial resistance: opportunities for interventions

Nature Reviews Microbiology, Год журнала: 2024, Номер 22(10), С. 636 - 649

Опубликована: Июль 24, 2024

Язык: Английский

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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, Год журнала: 2024, Номер 933, С. 173217 - 173217

Опубликована: Май 13, 2024

The spread of antibiotic resistant bacteria (ARB) and resistance genes (ARGs) in humans, animals environment is a growing threat to public health. Wastewater treatment plants (WWTPs) are crucial mitigating the risk environmental contamination by effectively removing contaminants before discharge. However, persistence ARB ARGs even after challenge for management water system. To comprehensively assess antimicrobial dynamics, we conducted one-year monitoring study three WWTPs central Italy, both influents effluents. We used seasonal sampling analyze microbial communities 16S rRNA, as well determine prevalence behaviour major (sul1, tetA, bla

Язык: Английский

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Linking antibiotic resistance gene patterns with advanced faecal pollution assessment and environmental key parameters along 2300 km of the Danube River

Water Research, Год журнала: 2024, Номер 252, С. 121244 - 121244

Опубликована: Янв. 31, 2024

The global spread of antimicrobial resistance (AMR) in the environment is a growing health threat. Large rivers are particular concern as they highly impacted by wastewater discharge while being vital lifelines serving various human needs. A comprehensive understanding occurrence, and key drivers AMR along whole river courses largely lacking. We provide holistic approach studying spatiotemporal patterns hotspots antibiotic genes (ARGs) 2311 km navigable Danube River, combining longitudinal temporal monitoring campaign. integration advanced faecal pollution diagnostics environmental chemical parameters allowed linking ARG concentrations to major sources explaining observed patterns. Nine markers, including conferring five different classes clinical relevance, one integrase gene were determined probe-based qPCR. All targets could be quantified River water, with intI1 sul1 ubiquitously abundant, qnrS, tetM, blaTEM intermediate abundance blaOXA-48like, blaCTX-M-1group, blaCTX-M-9group blaKPC rare occurrence. Human from municipal discharges was dominant factor shaping River. Other significant correlations specific ARGs discharge, certain metals pesticides. In contrast, not associated but already established water microbiome. Animal contamination detected only sporadically correlated sampling set. During monitoring, an extraordinary hotspot identified emphasizing variability within natural waters. This study provides first baseline lays foundation for future trends evaluating potential reduction measures. applided proved valuable methodological contribution towards better occurrence AMR.

Язык: Английский

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Integrating Machine Learning with MALDI-TOF Mass Spectrometry for Rapid and Accurate Antimicrobial Resistance Detection in Clinical Pathogens

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(3), С. 1140 - 1140

Опубликована: Янв. 28, 2025

Antimicrobial resistance (AMR) is one of the most pressing public health challenges 21st century. This study aims to evaluate efficacy mass spectral data generated by VITEK® MS instruments for predicting antibiotic in Staphylococcus aureus, Escherichia coli, and Klebsiella pneumoniae using machine learning algorithms. Additionally, potential pre-trained models was assessed through transfer analysis. A dataset comprising 2229 spectra collected, classification algorithms, including Support Vector Machines, Random Forest, Logistic Regression, CatBoost, were applied predict resistance. CatBoost demonstrated a clear advantage over other models, effectively handling complex non-linear relationships within achieving an AUROC 0.91 F1 score 0.78 E. coli. In contrast, yielded suboptimal results. These findings highlight gradient-boosting techniques enhance prediction, particularly with from less conventional platforms like MS. Furthermore, identification specific biomarkers SHAP values indicates promising clinical applications early diagnosis. Future efforts focused on standardizing refining algorithms could expand utility these approaches across diverse environments, supporting global fight against AMR.

Язык: Английский

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Non-point source fecal contamination from aging wastewater infrastructure is a primary driver of antibiotic resistance in surface waters

Water Research, Год журнала: 2022, Номер 222, С. 118853 - 118853

Опубликована: Июль 11, 2022

Язык: Английский

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Occurrence, pollution sources, and mitigation prospects of Antibiotics, anti-inflammatories, and endocrine disruptors in the aquatic environment

Environmental Nanotechnology Monitoring & Management, Год журнала: 2023, Номер 20, С. 100878 - 100878

Опубликована: Сен. 14, 2023

Язык: Английский

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