Evidence map›Paper›PMID 36154672›Full record

ArticlemSphere2022

Macrolide Resistance and

Yibing Ma, Mattia Pirolo, Prabha Subramani, Ronette Gehring, Peter Damborg, Henrik Franzyk, Luca Guardabassi

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The intrinsic macrolide resistome ofAntimicrobial agents and chemotherapy · 2024
    Article
  6. Article
  7. Antimicrobial resistance in genericThe Canadian veterinary journal = La revue veterinaire canadienne · 2024
    Article
  8. Genetic background of neomycin resistance in clinicalApplied and environmental microbiology · 2023
    Article
  9. 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

7 authors at 2 institutions in 2 countries.

Yibing MaDepartment of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.
Mattia PiroloDepartment of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.ORCID 0000-0002-9814-1500
Prabha SubramaniDepartment of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.
Ronette GehringInstitute of Risk Assessment Sciences, Utrecht Universitygrid.5477.1, Utrecht, The Netherlands.
Peter DamborgDepartment of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.ORCID 0000-0001-9932-5996
Henrik FranzykDepartment of Drug Design and Pharmacology, University of Copenhagengrid.5254.6, Copenhagen, Denmark.ORCID 0000-0002-2822-1927
Luca GuardabassiDepartment of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.ORCID 0000-0002-2389-5084
University of Copenhagen · DKUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli is intrinsically resistant to macrolides due to outer membrane impermeability, but may also acquire macrolide resistance genes by horizontal transfer. We evaluated the prevalence and types of acquired macrolide resistance determinants in pig clinical E. coli, and we assessed the ability of peptidomimetics to potentiate different macrolide subclasses against strains resistant to neomycin, a first-line antibiotic in the treatment of pig-enteric infections. The erythromycin MIC distribution was determined in 324 pig clinical E. coli isolates, and 62 neomycin-resistant isolates were further characterized by genome sequencing and MIC testing of azithromycin, spiramycin, tilmicosin, and tylosin. The impact on potency achieved by combining these macrolides with three selected peptidomimetic compounds was determined by checkerboard assays in six strains representing different genetic lineages and macrolide resistance gene profiles. Erythromycin MICs ranged from 16 to >1,024 μg/mL. Azithromycin showed the highest potency in wild-type strains (1 to 8 μg/mL), followed by erythromycin (16 to 128 μg/mL), tilmicosin (32 to 256 μg/mL), and spiramycin (128 to 256 μg/mL). Isolates with elevated MIC mainly carried

Indexed as

Escherichia coli InfectionsPeptidomimeticsSpiramycinAnimalsAnti-Bacterial AgentsAzithromycinDrug Resistance, BacterialErythromycinEscherichia coliMacrolidesNeomycinSwineTylosinAnti-Bacterial AgentsAzithromycinErythromycinMacrolidesNeomycinPeptidomimeticsSpiramycintilmicosinTylosinantibiotic potentiationE. colienteritismacrolide resistancepeptidomimeticspigs

Identifiers

PMID36154672
PMCPMC9599364
OpenAlexW4297220319

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.