Literature DB >> 33592450

Evidence for selection of multi-resistant E. coli by hospital effluent.

Nadine Kraupner1, Marion Hutinel1, Kilian Schumacher2, Declan A Gray1, Maja Genheden1, Jerker Fick3, Carl-Fredrik Flach1, D G Joakim Larsson4.   

Abstract

There is a risk that residues of antibiotics and other antimicrobials in hospital and municipal wastewaters could select for resistant bacteria. Still, direct experimental evidence for selection is lacking. Here, we investigated if effluent from a large Swedish hospital, as well as influent and effluent from the connected municipal wastewater treatment plant (WWTP) select for antibiotic resistant Escherichia coli in three controlled experimental setups. Exposure of sterile-filtered hospital effluent to a planktonic mix of 149 different E. coli wastewater isolates showed a strong selection of multi-resistant strains. Accordingly, exposure to a complex wastewater community selected for strains resistant to several antibiotic classes. Exposing individual strains with variable resistance patterns revealed a rapid bactericidal effect of hospital effluent on susceptible, but not multi-resistant E. coli. No selection was observed after exposure to WWTP effluent, while exposure to WWTP influent indicated a small selective effect for ceftazidime and cefadroxil resistant strains, and only in the E. coli mix assay. An analysis of commonly used antibiotics and non-antibiotic pharmaceuticals in combination with growth and resistance pattern of individual E. coli isolates suggested a possible contribution of ciprofloxacin and β-lactams to the selection by hospital effluent. However, more research is needed to clarify the contribution from different selective agents. While this study does not indicate selection by the studied WWTP effluent, there is some indications of selective effects by municipal influent on β-lactam-resistant strains. Such effects may be more pronounced in countries with higher antibiotic use than Sweden. Despite the limited antibiotic use in Sweden, the hospital effluent strongly and consistently selected for multi-resistance, indicating widespread risks. Hence, there is an urgent need for further evaluation of risks for resistance selection in hospital sewers, as well as for strategies to remove selective agents and resistant bacteria.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Antibiotic resistance; Hospital effluent; Resistance selection

Mesh:

Substances:

Year:  2021        PMID: 33592450     DOI: 10.1016/j.envint.2021.106436

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

Review 1.  Antibiotic resistance in the environment.

Authors:  D G Joakim Larsson; Carl-Fredrik Flach
Journal:  Nat Rev Microbiol       Date:  2021-11-04       Impact factor: 78.297

2.  Dynamics of integron structures across a wastewater network - Implications to resistance gene transfer.

Authors:  Marcos Quintela-Baluja; Dominic Frigon; M Abouelnaga; Kelly Jobling; Jesús L Romalde; Mariano Gomez Lopez; David W Graham
Journal:  Water Res       Date:  2021-09-30       Impact factor: 11.236

3.  Default predicted no-effect target concentrations for antibiotics in the absence of data for the protection against antibiotic resistance and environmental toxicity.

Authors:  Jessica Vestel; Daniel J Caldwell; Joan Tell; Lisa Constantine; Andreas Häner; Jutta Hellstern; Romain Journel; Jim J Ryan; Tim Swenson; Wei Xei
Journal:  Integr Environ Assess Manag       Date:  2022-02-21       Impact factor: 3.084

4.  Highly Accurate Identification of Bacteria's Antibiotic Resistance Based on Raman Spectroscopy and U-Net Deep Learning Algorithms.

Authors:  Zakarya Al-Shaebi; Fatma Uysal Ciloglu; Mohammed Nasser; Omer Aydin
Journal:  ACS Omega       Date:  2022-08-12

5.  Hospital sink traps as a potential source of the emerging multidrug-resistant pathogen Cupriavidus pauculus: characterization and draft genome sequence of strain MF1.

Authors:  James Butler; Sean D Kelly; Katie J Muddiman; Alexandros Besinis; Mathew Upton
Journal:  J Med Microbiol       Date:  2022-02       Impact factor: 2.472

  5 in total

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