A Whole-Genome Sequencing-Based Approach for the Characterization of Klebsiella pneumoniae Co-Producing KPC and OXA-48-like Carbapenemases Circulating in Sardinia, Italy

Author:

Del Rio Arcadia1ORCID,Fox Valeria2,Muresu Narcisa3ORCID,Sechi Illari4ORCID,Cossu Andrea4,Palmieri Alessandra4ORCID,Scutari Rossana2,Alteri Claudia2,Sotgiu Giovanni5ORCID,Castiglia Paolo4ORCID,Piana Andrea4ORCID

Affiliation:

1. Department of Biomedical Science, University of Sassari, 07100 Sassari, Italy

2. Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy

3. Department of Humanities and Social Sciences, University of Sassari, 07100 Sassari, Italy

4. Department of Medicine, Surgery, and Pharmacy, University of Sassari, 07100 Sassari, Italy

5. Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Medicine, University of Sassari, 07100 Sassari, Italy

Abstract

Background: Whole-genome sequencing (WGS) provides important information for the characterization, surveillance, and monitoring of antimicrobial resistance (AMR) determinants, particularly in cases of multi- and extensively drug-resistant microorganisms. We reported the results of a WGS analysis carried out on carbapenemases-producing Klebsiella pneumoniae, which causes hospital-acquired infections (HAIs) and is characterized by a marked resistance profile. Methods: Clinical, phenotypic, and genotypic data were collected for the AMR surveillance screening program of the University Hospital of Sassari (Italy) during 2020–2021. Genomic DNA was sequenced using the Illumina Nova Seq 6000 platform. Final assemblies were manually curated and carefully verified for the detection of antimicrobial resistance genes, porin mutations, and virulence factors. A phylogenetic analysis was performed using the maximum likelihood method. Results: All 17 strains analyzed belonged to ST512, and most of them carried the blaKPC-31 variant blaOXA-48-like, an OmpK35 truncation, and an OmpK36 mutation. Phenotypic analysis showed a marked resistance profile to all antibiotic classes, including β-lactams, carbapenems, aminoglycosides, fluoroquinolone, sulphonamides, and novel β-lactam/β-lactamase inhibitors (BL/BLI). Conclusion: WGS characterization revealed the presence of several antibiotic resistance determinants and porin mutations in highly resistant K. pneumoniae strains responsible for HAIs. The detection of blaKPC-31 in our hospital wards highlights the importance of genomic surveillance in hospital settings to monitor the emergence of new clones and the need to improve control and preventive strategies to efficiently contrast AMR.

Funder

European Union—Nextgeneration EU CUP

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

Reference69 articles.

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2. (2022). Antimicrobial Resistance Collaboratos. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. Lancet, 399, 629–655. Erratum in Lancet 2022, 400, 1102.

3. Early appropriate diagnostics and treatment of MDR Gram-negative infections;Bassetti;JAC-Antimicrob. Resist.,2022

4. Surveillance for control of antimicrobial resistance;Tacconelli;Lancet Infect. Dis.,2018

5. WHO Regional Office for Europe/European Centre for Disease Prevention and Control (2022). Antimicrobial Resistance Surveillance in Europe 2022–2020 Data, WHO Regional Office for Europe.

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