Evidence map›Paper›PMID 37248737›Full record

ArticleThe Journal of antimicrobial chemotherapy2023

Implementation of WGS analysis of ESBL-producing Escherichia coli within EU AMR monitoring in livestock and meat.

Michael S M Brouwer, Alieda Zandbergen Van Essen, Arie Kant, Michel Rapallini, Frank Harders, Alex Bossers, Bart Wullings, Ben Wit, Kees T Veldman

Open access · hybridAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Prevalence of ESBL-producingOne health (Amsterdam, Netherlands) · 2025
    Review
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Michael S M BrouwerDepartment of Bacteriology, Host Pathogen Interactions and Diagnostics Development, Wageningen Bioveterinary Research part of Wageningen University and Research, Edelhertweg 39, Lelystad, The Netherlands.ORCID 0000-0002-1067-7555
Alieda Zandbergen Van EssenDepartment of Bacteriology, Host Pathogen Interactions and Diagnostics Development, Wageningen Bioveterinary Research part of Wageningen University and Research, Edelhertweg 39, Lelystad, The Netherlands.
Arie KantDepartment of Bacteriology, Host Pathogen Interactions and Diagnostics Development, Wageningen Bioveterinary Research part of Wageningen University and Research, Edelhertweg 39, Lelystad, The Netherlands.
Michel RapalliniDepartment of Bacteriology, Molecular Biology and AMR, Wageningen Food Safety Research part of Wageningen University and Research, Akkermaalsbos 2, Wageningen, The Netherlands.
Frank HardersDepartment of Bioinformatics, Epidemiology and Animal Models, Wageningen Bioveterinary Research part of Wageningen University and Research, Edelhertweg 39, Lelystad, The Netherlands.
Alex BossersDepartment of Bioinformatics, Epidemiology and Animal Models, Wageningen Bioveterinary Research part of Wageningen University and Research, Edelhertweg 39, Lelystad, The Netherlands.ORCID 0000-0002-6586-717X
Bart WullingsDepartment of Bacteriology, Molecular Biology and AMR, Wageningen Food Safety Research part of Wageningen University and Research, Akkermaalsbos 2, Wageningen, The Netherlands.
Ben WitDepartment of Food Safety, Netherlands Food and Consumer Product Safety Authority (NVWA), Catharijnesingel 59, Utrecht, The Netherlands.
Kees T VeldmanDepartment of Bacteriology, Host Pathogen Interactions and Diagnostics Development, Wageningen Bioveterinary Research part of Wageningen University and Research, Edelhertweg 39, Lelystad, The Netherlands.
Wageningen University & Research · NLNetherlands Food and Consumer Product Safety Authority · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs WGS comes of age, changes in EU legislation implemented in 2021 allow its usage for systematic monitoring of ESBL-producing Escherichia coli from livestock and meat, replacing phenotypic testing. Presently, phenotypic testing correlates well with antimicrobial resistance predicted from WGS data. WGS has added value in the wealth of additional information that is present in the data.

objectivesIn this study we have detected the resistance phenotypes for a panel of antimicrobials while also analysing the molecular epidemiology of ESBL-producing E. coli.

methodsSusceptibility testing was performed with broth microdilution of selectively isolated E. coli. Short-read WGS was performed in parallel and phenotypes predicted based on the sequence data, which was also used to determine the phylogeny of the isolates.

resultsThe phenotypically determined resistance and the predicted resistance correlated 90%-100% for the different antimicrobial classes. Furthermore, clonal relationships were detected amongst ESBL-producing E. coli within livestock sectors and the meat produced by this sector.

conclusionsFurther implementation of WGS analysis of ESBL/AmpC-producing E. coli within the AMR monitoring programme of EU member states and global surveillance programmes will contribute to determining the attribution of livestock in the prevalence of ESBL/AmpC-encoding E. coli in humans.

Indexed as

Escherichia coliEscherichia coli InfectionsAnimalsAnti-Bacterial Agentsbeta-LactamasesHumansLivestockMeatAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID37248737
PMCPMC10320162
OpenAlexW4378713801

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.