ArticleJournal of clinical microbiology2013
Rapid detection and statistical differentiation of KPC gene variants in Gram-negative pathogens by use of high-resolution melting and ScreenClust analyses.
Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Machine learning based DNA melt curve profiling enables automated novel genotype detection.BMC bioinformatics · 2024Article
- Development of a quadruple qRT-PCR assay for simultaneous identification of hypervirulent and carbapenem-resistantMicrobiology spectrum · 2024Article
- One-Step Differential Detection of OXA-48-Like Variants Using High-Resolution Melting (HRM) Analysis.Antibiotics (Basel, Switzerland) · 2020Article
- Distribution of Class B and Class A β-Lactamases in Clinical Strains ofInfection and drug resistance · 2020Article
- Development and application of high-resolution melting analysis for the classification of infectious laryngotracheitis virus strains and detection of recombinant progeny.Archives of virology · 2019Article
- Rapid simultaneous detection ofInfection and drug resistance · 2019Article
- Comparison of in-house and commercial real time-PCR based carbapenemase gene detection methods in Enterobacteriaceae and non-fermenting gram-negative bacterial isolates.Annals of clinical microbiology and antimicrobials · 2017Article
- IMP-27, a Unique Metallo-β-Lactamase Identified in Geographically Distinct Isolates of Proteus mirabilis.Antimicrobial agents and chemotherapy · 2016Article
- Characterization of Carbapenemases in Extensively Drug Resistance Acinetobacter baumannii in a Burn Care Center in Iran.International journal of molecular and cellular medicine · 2015Article
- Multiplex high-resolution melting analysis as a diagnostic tool for detection of plasmid-mediated AmpC β-lactamase genes.Journal of clinical microbiology · 2014Article
- Trainable high resolution melt curve machine learning classifier for large-scale reliable genotyping of sequence variants.PloS one · 2014Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the United States, the production of the Klebsiella pneumoniae carbapenemase (KPC) is an important mechanism of carbapenem resistance in Gram-negative pathogens. Infections with KPC-producing organisms are associated with increased morbidity and mortality; therefore, the rapid detection of KPC-producing pathogens is critical in patient care and infection control. We developed a real-time PCR assay complemented with traditional high-resolution melting (HRM) analysis, as well as statistically based genotyping, using the Rotor-Gene ScreenClust HRM software to both detect the presence of bla(KPC) and differentiate between KPC-2-like and KPC-3-like alleles. A total of 166 clinical isolates of Enterobacteriaceae, Pseudomonas aeruginosa, and Acinetobacter baumannii with various β-lactamase susceptibility patterns were tested in the validation of this assay; 66 of these organisms were known to produce the KPC β-lactamase. The real-time PCR assay was able to detect the presence of bla(KPC) in all 66 of these clinical isolates (100% sensitivity and specificity). HRM analysis demonstrated that 26 had KPC-2-like melting peak temperatures, while 40 had KPC-3-like melting peak temperatures. Sequencing of 21 amplified products confirmed the melting peak results, with 9 isolates carrying bla(KPC-2) and 12 isolates carrying bla(KPC-3). This PCR/HRM assay can identify KPC-producing Gram-negative pathogens in as little as 3 h after isolation of pure colonies and does not require post-PCR sample manipulation for HRM analysis, and ScreenClust analysis easily distinguishes bla(KPC-2-like) and bla(KPC-3-like) alleles. Therefore, this assay is a rapid method to identify the presence of bla(KPC) enzymes in Gram-negative pathogens that can be easily integrated into busy clinical microbiology laboratories.
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