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Pitfalls in genotypic antimicrobial susceptibility testing caused by low expression of blaKPCin Escherichia coli

Kaan Kocer*, Sabrina Klein, Dagmar Hildebrand, Johannes Krall, Klaus Heeg, Sébastien Boutin, Dennis Nurjadi

*Corresponding author for this work

Abstract

Background: There is a growing interest in the rapid genotypic identification of antimicrobial resistance (AMR). In routine diagnostics, we detected multiple KPC-positive Escherichia coli (KPC-Ec) with discordant phenotypic meropenem susceptibility from a single patient's blood cultures, which prompted a more thorough investigation. Objectives: We investigated the potential clinical relevance of, and the mechanism behind, discordant phenotypic and genotypic meropenem susceptibility in KPC-Ec. Methods: WGS was used to perform a comparative analysis of the isolates' genetic characteristics and their blaKPC-2 locus. Expression of blaKPC-2 was determined by quantitative PCR and the potency of meropenem hydrolysis was determined using a semi-quantitative carbapenem inactivation method. An in vivo infection assay using Galleria mellonella was performed to assess the potential clinical relevance of KPC expression in E. coli. Results: Despite the presence of blaKPC-2, three of five isolates were susceptible to meropenem (MICVITEK2≤0.25 mg/L), while two isolates were resistant (MICVITEK2≥16 mg/L). The isolates with high MICs had significantly higher blaKPC-2 expression, which corresponds to phenotypic meropenem inactivation. The genetic environment of blaKPC-2, which may impact KPC production, was identical in all isolates. In vivo infection assay with G. mellonella suggested that meropenem was effective in reducing mortality following infection with low-expressing KPC-Ec. Conclusions: Our findings clearly highlight a limitation of genotypic AMR prediction for blaKPC. For the time being, genotypic AMR prediction requires additional analysis for accurate antibiotic therapy decision-making.

Original languageEnglish
JournalJournal of Antimicrobial Chemotherapy
Volume76
Issue number11
Pages (from-to)2795-2801
Number of pages7
ISSN0305-7453
DOIs
Publication statusPublished - 01.11.2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Areas and Centers

  • Academic Focus: Center for Infection and Inflammation Research (ZIEL)

DFG Research Classification Scheme

  • 2.21-05 Immunology
  • 2.21-03 Medical Microbiology and Mycology, Hygiene, Molecular Infection Biology

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