| Literature DB >> 28274205 |
Christina Sakarikou1, Marco Ciotti2, Camilla Dolfa3, Silvia Angeletti4, Cartesio Favalli3,2.
Abstract
BACKGROUND: Carbapenemase-producing Enterobacteriaceae (CPE), particularly carbapenemase-producing Klebsiella pneumoniae isolates, are important causative agents of nosocomial infections associated with significant mortality rates mostly in critical wards. The rapid detection and typing of these strains is critical either for surveillance purposes and to prevent outbreaks and optimize antibiotic therapy. In this study, the MALDI-TOF MS method was used to detect rapidly these isolates from blood cultures (BCs) and to obtain proteomic profiles enable to discriminate between carbapenemase-producing and non-carbapenemase-producing strains.Entities:
Keywords: Blood culture; Carbapenemases; Detection; Klebsiella pneumoniae; MALDI-TOF MS
Mesh:
Substances:
Year: 2017 PMID: 28274205 PMCID: PMC5343375 DOI: 10.1186/s12866-017-0952-3
Source DB: PubMed Journal: BMC Microbiol ISSN: 1471-2180 Impact factor: 3.605
Fig. 1Mass Spectra of non-hydrolyzed and hydrolyzed Ertapenem and mass spectra of Ertapenem degradation after incubation with KPC, KPC plus VIM and OXA-48 producing K. pneumoniae strains at different time points, respectively. Molecular weight values of Ertapenem and its salt adducts peaks are indicated at the top of the peaks
Description of carbapenemase-producing K. pneumoniae strains used in the carbapenemase-production detection assay
| MIC Ertapenem (mg/l) | MIC Imipenem (mg/l) | MIC Meropenem (mg/l) | Hydrolysis of Ertapenem | Time point of hydrolysis (h) | |
|---|---|---|---|---|---|
| 31 | ≥8 | ≥16 | ≥16 | + | 0.5 h |
| 5 | ≥8 | ≥16 | ≥16 | + | 2 h |
| 4 | ≥8 | ≤2 | ≤2 | + | 3 h |
Fig. 2Identification of a MALDI-TOF MS peak associated with bla KPC. Presence of the 11,109-Da peak in KPC-carrying K. pneumoniae isolate mass spectrum (fuchsia) and absence of an 11,109-Da peak in a K. pneumoniae non KPC-carrying isolate mass spectrum (green), respectively. This specific peak could be a helpful real-time marker in epidemic strain detection in a hospital setting