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Whole genome sequencing for the molecular characterization of carbapenem-resistant Klebsiella pneumoniae strains isolated at the Italian ASST Fatebenefratelli Sacco Hospital, 2012–2014

Overview of attention for article published in BMC Infectious Diseases, October 2017
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Title
Whole genome sequencing for the molecular characterization of carbapenem-resistant Klebsiella pneumoniae strains isolated at the Italian ASST Fatebenefratelli Sacco Hospital, 2012–2014
Published in
BMC Infectious Diseases, October 2017
DOI 10.1186/s12879-017-2760-7
Pubmed ID
Authors

Sara Giordana Rimoldi, Bernardina Gentile, Cristina Pagani, Annamaria Di Gregorio, Anna Anselmo, Anna Maria Palozzi, Antonella Fortunato, Valentina Pittiglio, Anna Lisa Ridolfo, Maria Rita Gismondo, Giuliano Rizzardini, Florigio Lista

Abstract

The emergence of carbapenem-resistant Klebsiella pneumoniae strains is threatening antimicrobial treatment. Sixty-eight carbapenemase-producing K. pneumoniae strains isolated at Luigi Sacco University Hospital-ASST Fatebenefratelli Sacco (Milan, Italy) between 2012 and 2014 were characterised microbiologically and molecularly. They were tested for drug susceptibility and carbapenemase phenotypes, investigated by means of repetitive extra-genic palindromic polymerase chain reaction (REP-PCR), and fully sequenced by means of next-generation sequencing for the in silico analysis of multi-locus sequence typing (MLST), their resistome, virulome and plasmid content, and their core single nucleotide polymorphism (SNP) genotypes. All of the samples were resistant to carbapenems, other β-lactams and ciprofloxacin; many were resistant to aminoglycosides and tigecycline; and seven were resistant to colistin. Resistome analysis revealed the presence of blaKPC genes and, less frequently blaSHV, blaTEM, blaCTX-M and blaOXA, which are related to resistance to carbapenem and other β-lactams. Other genes conferring resistance to aminoglycoside, fluoroquinolone, phenicol, sulphonamide, tetracycline, trimethoprim and macrolide-lincosamide-streptogramin were also detected. Genes related to AcrAB-TolC efflux pump-dependent and pump-independent tigecycline resistance mechanisms were investigated, but it was not possible to clearly correlate the genomic features with tigecycline resistance because of the presence of a common mutation in susceptible, intermediate and resistant strains. Concerning colistin resistance, the mgrB gene was disrupted by an IS5-like element, and the mobile mcr-1 and mcr-2 genes were not detected in two cases. The virulome profile revealed type-3 fimbriae and iron uptake system genes, which are important during the colonisation stage in the mammalian host environment. The in silico detected plasmid replicons were classified as IncFIB(pQil), IncFIB(K), ColRNAI, IncX1, IncX3, IncFII(K), IncN, IncL/M(pMU407) and IncFIA(HI1). REP-PCR showed five major clusters, and MLST revealed six different sequence types: 512, 258, 307, 1519, 745 and 101. Core SNP genotyping, which led to four clusters, correlated with the MLST data. Isolates of the same sequencing type often had common genetic traits, but the SNP analysis allowed greater strain tracking and discrimination than either the REP-PCR or MLST analysis. Our findings support the importance of implementing bacterial genomics in clinical medicine in order to complement traditional methods and overcome their limited resolution.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 10%
Student > Master 10 10%
Student > Bachelor 10 10%
Researcher 9 9%
Student > Doctoral Student 7 7%
Other 23 23%
Unknown 30 30%
Readers by discipline Count As %
Medicine and Dentistry 20 20%
Biochemistry, Genetics and Molecular Biology 16 16%
Immunology and Microbiology 12 12%
Agricultural and Biological Sciences 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 5 5%
Unknown 36 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 October 2017.
All research outputs
#20,449,496
of 23,005,189 outputs
Outputs from BMC Infectious Diseases
#6,520
of 7,721 outputs
Outputs of similar age
#282,910
of 324,392 outputs
Outputs of similar age from BMC Infectious Diseases
#103
of 127 outputs
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