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Detection of the mcr-1 Gene in a Multidrug-Resistant Escherichia coli Isolate from an Austrian Patient
Rainer Hartl1, Heidrun Kerschner1, Sarah Lepuschitz2
1Institute of Hygiene, Microbiology and Tropical Medicine, National Reference Centre for Nosocomial Infections and Antimicrobial Resistance, Ordensklinikum Linz - Elisabethinen, Linz, Austria.
Abstract:
Since colistin resistance based on the plasmid-encoded mcr-1 gene was first described, this resistance gene in Enterobacteriaceae has been found worldwide. These organisms are typically of heterogeneous genetic background and show exceptional clonal diversity. We describe the first confirmation of mcr-1 in a human Escherichia coli strain cultured from a surveillance stool sample of an Austrian oncology patient.
Insights
The plasmid-encoded mcr-1 gene confers colistin resistance in Enterobacteriaceae globally. This study reports the first detection of mcr-1 in a human Escherichia coli strain from an Austrian oncology patient.
Area of Science:
- Microbiology
- Genetics
- Infectious Diseases
Background:
- Colistin resistance mediated by the plasmid-encoded mcr-1 gene has emerged globally in Enterobacteriaceae.
- Enterobacteriaceae exhibit significant genetic heterogeneity and clonal diversity.
Purpose of the Study:
- To report the first confirmed instance of the mcr-1 gene in a human Escherichia coli strain.
- To document the presence of colistin resistance in a clinical isolate from Austria.
Main Methods:
- Isolation and identification of Escherichia coli from a surveillance stool sample.
- Molecular confirmation of the presence of the mcr-1 gene.
Main Results:
- The mcr-1 gene, conferring colistin resistance, was identified in a human Escherichia coli isolate.
- This represents the first detection of mcr-1 in a human clinical sample in Austria.
Conclusions:
- The findings highlight the continued global spread of mcr-1 mediated colistin resistance.
- Surveillance for antimicrobial resistance genes in clinical settings is crucial, particularly in immunocompromised patient populations.
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