Evidence map›Paper›PMID 39843947›Full record

Articlenpj antimicrobials and resistance2023

Profile and resistance levels of 136 integron resistance genes.

Alberto Hipólito, Lucía García-Pastor, Ester Vergara, Thomas Jové, José Antonio Escudero

Abstract read
In one paragraph

Article in npj antimicrobials and resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The novel pseudo-compound transposon TnMicrobial genomics · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Prevalence of Antibiotic Resistance Determinants in Carbapenem-ResistantInternational journal of molecular and cellular medicine · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. DecodingFrontiers in microbiology · 2024
    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

5 authors.

Alberto HipólitoMolecular Basis of Adaptation. Departamento de Sanidad Animal. Facultad de Veterinaria de la Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-6461-2650
Lucía García-PastorMolecular Basis of Adaptation. Departamento de Sanidad Animal. Facultad de Veterinaria de la Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0001-7462-1860
Ester VergaraMolecular Basis of Adaptation. Departamento de Sanidad Animal. Facultad de Veterinaria de la Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-1323-4749
Thomas JovéINSERM, CHU Limoges, RESINFIT, University of Limoges, Limoges, France.
José Antonio EscuderoMolecular Basis of Adaptation. Departamento de Sanidad Animal. Facultad de Veterinaria de la Universidad Complutense de Madrid, Madrid, Spain. jaescudero@ucm.es.ORCID http://orcid.org/0000-0001-8552-2956

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 803375
6 · The paper itself

Abstract

Integrons have played a major role in the rise and spread of multidrug resistance in Gram-negative pathogens and are nowadays commonplace among clinical isolates. These platforms capture, stockpile, and modulate the expression of more than 170 antimicrobial resistance cassettes (ARCs) against most clinically-relevant antibiotics. Despite their importance, our knowledge on their profile and resistance levels is patchy, because data is scattered in the literature, often reported in different genetic backgrounds and sometimes extrapolated from sequence similarity alone. Here we have generated a collection of 136 ARCs against 8 antibiotic families and disinfectants. Cassettes are cloned in a vector designed to mimic the genetic environment of a class 1 integron, and transformed in Escherichia coli. We have measured the minimal inhibitory concentration (MIC) to the most relevant molecules from each antibiotic family. With more than 500 MIC values, we provide an exhaustive and comparable quantitation of resistance conferred by ARCs. Our data confirm known resistance trends and profiles while revealing important differences among closely related genes. We have also detected genes that do not confer the expected resistance, to the point of challenging the role of the whole family of qac genes in resistance against disinfectants. Our work provides a detailed characterization of integron resistance genes at-a-glance.

Identifiers

PMID39843947
PMCPMC11721406

What OpenQuestion holds

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LicenceCC BY
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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.