Evidence map›Paper›PMID 39304920›Full record

ArticleAntimicrobial resistance and infection control2024

The genetic relationship between human and pet isolates: a core genome multilocus sequence analysis of multidrug-resistant bacteria.

Antonia Genath, Carolin Hackmann, Luisa Denkel, Anna Weber, Friederike Maechler, Axel Kola, Stefan Schwarz, Petra Gastmeier, Rasmus Leistner

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Genomic epidemiology ofJournal of clinical microbiology · 2026
    Observational
  5. Investigating the Sharing ofPathogens (Basel, Switzerland) · 2026
    Article
  6. Microorganisms · 2026
    Review
  7. A One Health Comparative Study of MDRAntibiotics (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. Exploring AMR and virulence inOne health (Amsterdam, Netherlands) · 2024
    Article
  11. 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.

Antonia GenathInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany. antonia.genath@outlook.de.
Carolin HackmannInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany.
Luisa DenkelInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany.
Anna WeberInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany.
Friederike MaechlerInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany.
Axel KolaInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany.
Stefan SchwarzInstitute of Microbiology and Epizootics, Centre of Infection Medicine, School of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Petra GastmeierInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany.
Rasmus LeistnerInstitute of Hygiene and Environmental Medicine, Charité University Medicine Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe global increase of multidrug-resistant organisms (MDROs) is one of the most urgent public health threats affecting both humans and animals. The One Health concept emphasizes the interconnectedness of human, animal and environmental health and highlights the need for integrated approaches to combat antimicrobial resistance (AMR). Although the sharing of environments and antimicrobial agents between companion animals and humans poses a risk for MDRO transmission, companion animals have been studied to a lesser extent than livestock animals. This study therefore used core genome multilocus sequence typing (cgMLST) to investigate the genetic relationships and putative transmission of MDROs between humans and pets.

methodsThis descriptive integrated typing study included 252 human isolates, 53 dog isolates and 10 cat isolates collected from 2019 to 2022 at the Charité University Hospital in Berlin, Germany. CgMLST was performed to characterize methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci and multidrug-resistant gram-negative bacteria. The genetic diversity of the MDROs of the different host populations was determined and compared based on sequence type and core genome complex type.

resultsWithin this study the majority of samples from pets and humans was genetically distinct. However, for some isolates, the number of allelic differences identified by cgMLST was low. Two cases of putative household transmission or shared source of VR E. faecium and MDR E. coli between humans and pets were documented.

conclusionsThe interaction between humans and their pets appears to play a minor role in the spread of the MDROs studied. However, further research is needed. This study emphasizes the importance of comprehensive molecular surveillance and a multidisciplinary One Health approach to understand and contain the spread of MDROs in human and animal populations.

trial registrationThe study is registered with the German Clinical Trials Register (DRKS00030009).

Indexed as

Drug Resistance, Multiple, BacterialMethicillin-Resistant Staphylococcus aureusMultilocus Sequence TypingPetsAnimalsAnti-Bacterial AgentsCatsDogsGenetic VariationGenome, BacterialGermanyHumansMicrobial Sensitivity TestsOne HealthVancomycin-Resistant EnterococciAnti-Bacterial AgentscgMLSTMolecular typingMultidrug-resistanceOne Health

Identifiers

PMID39304920
PMCPMC11416027

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LicenceCC BY
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Registered trials

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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.