Macrolide Resistance and


Journal

mSphere
ISSN: 2379-5042
Titre abrégé: mSphere
Pays: United States
ID NLM: 101674533

Informations de publication

Date de publication:
26 Oct 2022
Historique:
pubmed: 27 9 2022
medline: 29 10 2022
entrez: 26 9 2022
Statut: ppublish

Résumé

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

Identifiants

pubmed: 36154672
doi: 10.1128/msphere.00402-22
pmc: PMC9599364
doi:

Substances chimiques

Anti-Bacterial Agents 0
Azithromycin 83905-01-5
Peptidomimetics 0
Macrolides 0
tilmicosin XL4103X2E3
Tylosin YEF4JXN031
Spiramycin 8025-81-8
Erythromycin 63937KV33D
Neomycin I16QD7X297

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0040222

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Auteurs

Yibing Ma (Y)

Department of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.

Mattia Pirolo (M)

Department of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.

Prabha Subramani (P)

Department of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.

Ronette Gehring (R)

Institute of Risk Assessment Sciences, Utrecht Universitygrid.5477.1, Utrecht, The Netherlands.

Peter Damborg (P)

Department of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.

Henrik Franzyk (H)

Department of Drug Design and Pharmacology, University of Copenhagengrid.5254.6, Copenhagen, Denmark.

Luca Guardabassi (L)

Department of Veterinary and Animal Sciences, University of Copenhagengrid.5254.6, Copenhagen, Denmark.

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Classifications MeSH