Ontology highlight
ABSTRACT:
PROVIDER: PRJNA556222 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The spread of carbapenemase-producing Enterobacterales (CPE) is emerging as a significant clinical concern in tertiary hospitals and in particular, long-term care facilities with deficiencies in infection control. This study aims to evaluate an advanced matrix-assisted laser desorption/ionization mass spectrometry (A-MALDI) method for the identification of carbapenemases and further discrimination of their subtypes in clinical isolates. The A-MALDI method was employed to detect CPE target proteins. Enhancements were made to improve detectability and mass accuracy through the optimization of MALDI-TOF settings and internal mass calibration. A total of 581 clinical isolates were analyzed, including 469 CPE isolates (388 KPC, 51 NDM, 40 OXA, and 2 GES) and 112 carbapenemase-negative isolates. Clinical evaluation of the A-MALDI demonstrated 100% accuracy and precision in identifying all the collected CPE isolates. Additionally, A-MALDI successfully discriminated individual carbapenemase subtypes (KPC-2 or KPC-3/4; OXA-48 or OXA-181 or OXA-232; GES-5 or GES-24) and also differentiated co-producing carbapenemase strains (KPC & NDM; KPC & OXA; KPC & GES; NDM & OXA), attributed to its high mass accuracy and simultaneous detection capability. A-MALDI is considered a valuable diagnostic tool for accurately identifying CPE and carbapenemase’s subtypes in clinical isolates. It may also aid in selecting appropriate antibiotics for each carbapenemase subtype. Ultimately, we expect that the A-MALDI method will contribute to preventing the spread of antibiotic resistance and improving human public health.
2024-11-26 | PXD058284 | Pride
Project description:The increasing resistence and/or bacterial tolerance to bactericides, such as chlorhexidine, causes worrisome public health problems. Using transcriptomical and microbiological studies, we analysed the molecular mechanisms associated with the adaptation to chlorhexidine in two carbapenemase-producing strains of Klebsiella pneumoniae belonging ST258-KPC3 and ST846-OXA48.
2020-03-21 | GSE147316 | GEO
Project description:Whole Genome Sequencing of Carbapenemase-producing Enterobacterales (CPE)
| PRJNA757551 | ENA
Project description:<p><strong>Introduction:</strong> The degree of antimicrobial resistance demonstrated by carbapenemase-producing Enterobacteriaceae (CPE) represents a growing public health challenge. Conventional methods for detecting CPE involve culture-based techniques with lengthy incubation steps. There is a need to develop rapid and accurate methods for the detection of resistance, for implementation into clinical diagnostics.</p><p><strong>Objectives:</strong> With cellular phenotype closely linked to the metabolome, the acquisition of resistance should result in detectable differences in microbial metabolism. Accordingly, we sought to profile the metabolome of Enterobacteriaceae isolates belonging to both CPE and non-CPE groups to identify metabolites linked to CPE.</p><p><strong>Methods:</strong> We used liquid chromatography-mass spectrometry to profile the endo- and exometabolome of 32<em> Klebsiella pneumoniae</em> and <em>Escherichia coli </em>isolates to identify metabolites which could predict CPE in antibiotic-free conditions after 6 h of growth.</p><p><strong>Results:</strong> Using supervised machine learning and multivariate analysis algorithms (partial least squares-discriminant analysis, k-nearest neighbour and random forest), we identified 21 metabolite biomarkers which displayed high performance metrics for the prediction of CPE (AUROCs ≥ 0.845). Results revealed a range of alterations between the metabolomes of CPE and non-CPE isolates. Pathway analysis revealed enrichment of microbial pathways including arginine metabolism, ATP-binding cassette transporters, purine metabolism, biotin metabolism, nucleotide metabolism, and biofilm formation, providing mechanistic insight into the resistance phenotype of CPE.</p><p><strong>Conclusion: </strong>Our models demonstrates the ability to distinguish CPE from non-CPE in under 7 h using metabolite biomarkers, showing potential for the development of a targeted diagnostic assay.</p>
2025-08-04 | MTBLS10129 | MetaboLights
Project description:Carbapenemase-producing Enterobacterales from human samples, Victoria, Australia
| PRJNA529744 | ENA