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Molecular Cut-off Values for Aliarcobacter butzleri Susceptibility Testing
Quentin Jehanne1,2, Lucie Bénéjat1, Astrid Ducournau1
1French National Reference Center for Campylobacters and Helicobacters, Bordeaux Hospital University Center, Bordeaux, France.
New research proposes specific antimicrobial susceptibility testing (AST) cut-off values for Aliarcobacter butzleri, an emerging gastrointestinal pathogen. This study adjusts disk diffusion and MIC values for ampicillin and ciprofloxacin, aiding accurate diagnosis and treatment.
Area of Science:
- Clinical Microbiology
- Genomics
- Infectious Diseases
Background:
- Aliarcobacter butzleri is an emerging gastrointestinal pathogen with increasing prevalence worldwide.
- Current antimicrobial susceptibility testing (AST) for A. butzleri relies on criteria for other bacteria, leading to potential misinterpretations.
- There is a lack of established interpretative criteria for AST, hindering effective clinical management.
Purpose of the Study:
- To propose specific epidemiological cut-off values for key antimicrobial agents against A. butzleri.
- To identify genetic markers associated with antimicrobial resistance in A. butzleri.
- To improve the accuracy of AST for this emerging pathogen.
Main Methods:
- Whole-genome sequencing (WGS) of 30 resistant A. butzleri isolates.
- Analysis of genetic mutations and genes associated with resistance.
- Adjustment of disk diffusion (DD) and minimum inhibitory concentration (MIC) cut-off values.
Main Results:
- Identification of a β-lactamase conferring ampicillin resistance and a T85I GyrA mutation linked to ciprofloxacin resistance.
- Adjustment of DD and MIC cut-off values for ampicillin and ciprofloxacin based on identified resistance mechanisms.
- Inability to estimate cut-off values for erythromycin and tetracycline due to the absence of known resistance mechanisms.
Conclusions:
- The study provides adjusted AST cut-off values for ampicillin and ciprofloxacin, crucial for accurate A. butzleri susceptibility testing.
- Genomic analysis is a robust method for identifying resistance mechanisms and refining AST parameters.
- Establishing consensus-based AST criteria for A. butzleri is essential for global public health.
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