Evidence map›Paper›PMID 40889140›Full record

ArticleMicrobial genomics2025

A metagenomic approach to One Health surveillance of antimicrobial resistance in a UK veterinary centre.

Linzy Elton, Alonso Dupuy Mateos, Siân Marie Frosini, Rosanne Jepson, Sylvia Rofael, Timothy D McHugh, Emmanuel Q Wey

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Antimicrobial Resistance inAntibiotics (Basel, Switzerland) · 2026
    Review
  3. Review
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

7 authors.

Linzy EltonUCL Centre for Clinical Microbiology, University College London, London, UK.
Alonso Dupuy MateosIndependent Veterinary Surgeon, London, UK.
Siân Marie FrosiniPathobiology and Population Sciences, Royal Veterinary College, London, UK.
Rosanne JepsonClinical Science and Services, Royal Veterinary College, London, UK.
Sylvia RofaelUCL Centre for Clinical Microbiology, University College London, London, UK.
Timothy D McHughUCL Centre for Clinical Microbiology, University College London, London, UK.
Emmanuel Q WeyUCL Centre for Clinical Microbiology, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are currently no standardized guidelines for genomic surveillance of One Health antimicrobial resistance (AMR). This project aimed to utilize metagenomics to identify AMR genes present in a companion animal hospital and compare these with phenotypic results from bacterial isolates from clinical specimens from the same veterinary hospital. Samples were collected from sites within a primary care companion animal veterinary hospital in London, UK. Metagenomic DNA was sequenced using Oxford Nanopore Technologies MinION. The sequencing data were analysed for AMR genes, plasmids and clinically relevant pathogen species. These data were compared to phenotypic speciation and antibiotic susceptibility tests of bacterial isolates from patients. The most common resistance genes identified were

Indexed as

Bacterial InfectionsDrug Resistance, MicrobialMetagenomicsAnimalsCatsDogsEscherichia coliHospitals, AnimalPlasmidsPseudomonas aeruginosaRabbitsStaphylococcusUnited Kingdomantimicrobial resistance (AMR)metagenomicsMinIONNanoporeOne HealthOxford Nanopore Technologiesveterinary

Identifiers

PMID40889140
PMCPMC12401494

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.