Contribution of Time, Taxonomy, and Selective Antimicrobials to Antibiotic and Multidrug Resistance in Wastewater Bacteria

Gray, Hannah K.; Arora‐Williams, Keith; Young, C.; Bouwer, Edward J.; Davis, Meghan F.; Preheim, Sarah P.

doi:10.1021/acs.est.0c03803

Cited by 9 publications

(5 citation statements)

References 85 publications

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“…A few studies have looked at the impact of BKC treatment on complex biofilm communities. Gray et al ( 2021 ) showed that bacterial isolates from water treatment plants that were able to grow on 250–500 mg l −1 BKC accounted for 0.2% of the overall culturable communities and were mainly Pseudomonas spp. A high proportion of these isolates with colistin resistance were observed, but no direct link between BKC insusceptibility and colistin resistance was demonstrated.…”

Section: Benzalkonium Chloride and Bacterial ‘Resistance’mentioning

confidence: 99%

Impact of benzalkonium chloride, benzethonium chloride and chloroxylenol on bacterial antimicrobial resistance

Maillard

2022

Journal of Applied Microbiology

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This review examined 3655 articles on benzalkonium chloride (BKC), benzethonium chloride (BZT) and chloroxylenol (CHO) aiming to understand their impact on antimicrobial resistance. Following the application of inclusion/exclusion criteria, only 230 articles were retained for analysis; 212 concerned BKC, with only 18 for CHO and BZT. Seventy-eight percent of studies used MIC to measure BKC efficacy. Very few studies defined the term 'resistance' and 85% of studies defined 'resistance' as <10fold increase (40% as low as 2-fold) in MIC. Only a few in vitro studies reported on formulated products and when they did, products performed better. In vitro studies looking at the impact of BKC exposure on bacterial resistance used either a stepwise training protocol or exposure to constant BKC concentrations. In these, BKC exposure resulted in elevated MIC or/and MBC, often associated with efflux, and at time, a change in antibiotic susceptibility profile. The clinical relevance of these findings was, however, neither reported nor addressed. Of note, several studies reported that bacterial strains with an elevated MIC or MBC remained susceptible to the in-use BKC concentration. BKC exposure was shown to reduce bacterial diversity in complex microbial microcosms, although the clinical significance of such a change has not been established. The impact of BKC exposure on the dissemination of resistant genes (notably efflux) remains speculative, although it manifests that clinical, veterinary and food isolates with elevated BKC MIC carried multiple efflux pump genes. The correlation between BKC usage and gene carriage, maintenance and dissemination has also not been established. The lack of clinical interpretation and significance in these studies does not allow to establish with certainty the role of BKC on AMR in practice. The limited literature and BZT and CHO do not allow to conclude that these will impact negatively on emerging bacterial resistance in practice.

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Section: Benzalkonium Chloride and Bacterial ‘Resistance’mentioning

confidence: 99%

Impact of benzalkonium chloride, benzethonium chloride and chloroxylenol on bacterial antimicrobial resistance

Maillard

2022

Journal of Applied Microbiology

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“…In response to the accelerating rise in antimicrobial resistance, great efforts have been made to develop methods for the rapid detection of AMR bacteria. ,, The commonly used methods for detecting AMR bacteria in aquatic environments (Table S5) either rely on culturing bacteria, ,− which can identify only a small fraction of the total diversity present in samples, or on postgenomic techniques such as metagenomics and metatranscriptomics, which cannot directly link AMR to active hosts from functional phenotypes. ,− In addition, these methods are not suitable for on-site monitoring of microbial changes in aquatic environments because of the heavy preparative work and the requirement of in-depth analysis of the huge amount of data . Although a tyrosine signal amplification-fluorescence in situ hybridization-fluorescence-activated cell sorting (TSA-FISH-FACS) method has been developed and allows for coupling with high-throughput sequencing (Table S5), it is very complex and limited to the quantification and detection of bacteria carrying vancomycin resistance genes …”

Section: Discussionmentioning

confidence: 99%

Detection and Quantification of Antimicrobial-Resistant Cells in Aquatic Environments by Bioorthogonal Noncanonical Amino Acid Tagging

Wang

Zhang

Min

et al. 2022

Environ. Sci. Technol.

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Aquatic environments are important reservoirs of antibiotic wastes, antibiotic resistance genes, and bacteria, enabling the persistence and proliferation of antibiotic resistance in different bacterial populations. To prevent the spread of antibiotic resistance, effective approaches to detect antimicrobial susceptibility in aquatic environments are highly desired. In this work, we adopt a metabolism-based bioorthogonal noncanonical amino acid tagging (BONCAT) method to detect, visualize, and quantify active antimicrobial-resistant bacteria in water samples by exploiting the differences in bacterial metabolic responses to antibiotics. The BONCAT approach can be applied to rapidly detect bacterial resistance to multiple antibiotics within 20 min of incubation, regardless of whether they act on proteins or DNA. In addition, the combination of BONCAT with the microscope enables the intuitive characterization of antibiotic-resistant bacteria in mixed systems at single-cell resolution. Furthermore, BONCAT coupled with flow cytometry exhibits good performance in determining bacterial resistance ratios to chloramphenicol and population heterogeneity in hospital wastewater samples. In addition, this approach is also effective in detecting antibiotic-resistant bacteria in natural water samples. Therefore, such a simple, fast, and efficient BONCAT-based approach will be valuable in monitoring the increase and spread of antibiotic resistance within natural and engineered aquatic environments.

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“…Antibiotics refer to a class of chemical substances or fully chemically synthesized substances produced by living organisms (mostly microorganisms, including bacteria, fungi, and actinomycetes spp.) during their life processes, which have antipathogenic activity [1]. The discovery and application of antibiotics is one of the greatest medical discoveries of the 20th century [2][3].…”

Section: Introductionmentioning

confidence: 99%

Detection of antibiotic resistance mechanism and research on new anti-infection measures based on big data analysis

Ji,

Jiang,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, a prototype network model is used for event extraction of antibiotic resistance and new anti-infection information, and also limited or small amount of labeled data is used to obtain a prediction model with excellent generalization performance. The Bi-LSTM framework for antibiotic resistance element detection is a mainstream sequence annotation framework that combines bidirectional long- and short-term memory networks, and its main idea is to obtain contextual information through bidirectional long- and short-term memory networks, and to fuse antibiotic as well as bacterial entity information, and trigger word information for the assignment of element roles. In the keyword co-occurrence analysis, combination therapy and phage had the highest frequency with a centrality of 0.57 and 0.59, respectively, indicating that phage-antibiotic therapy effectively treated patients with drug-resistant bacterial infections. There was a high correlation (r=0.57) between the number of days of ICU stay and the number of days of phage-antibiotic combination therapy, which was further analyzed to show that the number of days of fever, the number of days of indwelling urinary catheter, and the number of days of mechanical ventilation, phage-antibiotic combination days are more important influencing factors.

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Contribution of Time, Taxonomy, and Selective Antimicrobials to Antibiotic and Multidrug Resistance in Wastewater Bacteria

Cited by 9 publications

References 85 publications

Impact of benzalkonium chloride, benzethonium chloride and chloroxylenol on bacterial antimicrobial resistance

Impact of benzalkonium chloride, benzethonium chloride and chloroxylenol on bacterial antimicrobial resistance

Detection and Quantification of Antimicrobial-Resistant Cells in Aquatic Environments by Bioorthogonal Noncanonical Amino Acid Tagging

Detection of antibiotic resistance mechanism and research on new anti-infection measures based on big data analysis

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