Literature DB >> 26320993

[Molecular characterization of resistance mechanisms: methicillin resistance Staphylococcus aureus, extended spectrum β-lactamases and carbapenemases].

Jesús Oteo1, María Belén Aracil2.   

Abstract

Multi-drug resistance in bacterial pathogens increases morbidity and mortality in infected patients and it is a threat to public health concern by their high capacity to spread. For both reasons, the rapid detection of multi-drug resistant bacteria is critical. Standard microbiological procedures require 48-72 h to provide the antimicrobial susceptibility results, thus there is emerging interest in the development of rapid detection techniques. In recent years, the use of selective and differential culture-based methods has widely spread. However, the capacity for detecting antibiotic resistance genes and their low turnaround times has made molecular methods a reference for diagnosis of multidrug resistance. This review focusses on the molecular methods for detecting some mechanisms of antibiotic resistance with a high clinical and epidemiological impact: a) Enzymatic resistance to broad spectrum β-lactam antibiotics in Enterobacteriaceae, mainly extended spectrum β-lactamases (ESBL) and carbapenemases; and b) methicillin resistance in Staphylococcus aureus.
Copyright © 2015 Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  BLEE; Carbapenemasas; Carbapenemases; ESBL; MRSA; Resistence enterobacteriaceae; Resistencia enterobacterias; SARM

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Year:  2015        PMID: 26320993     DOI: 10.1016/S0213-005X(15)30012-4

Source DB:  PubMed          Journal:  Enferm Infecc Microbiol Clin        ISSN: 0213-005X            Impact factor:   1.731


  2 in total

1.  Identification of Methicillin-Resistant Staphylococcus aureus (MRSA) Using Simultaneous Detection of mecA, nuc, and femB by Loop-Mediated Isothermal Amplification (LAMP).

Authors:  Changguo Chen; Qiangyuan Zhao; Jianwei Guo; Yanjun Li; Qiuyuan Chen
Journal:  Curr Microbiol       Date:  2017-06-02       Impact factor: 2.188

2.  iTRAQ-Based Quantitative Proteomic Profiling of Staphylococcus aureus Under Different Osmotic Stress Conditions.

Authors:  Tinghong Ming; Lingxin Geng; Ying Feng; Chenyang Lu; Jun Zhou; Yanyan Li; Dijun Zhang; Shan He; Ye Li; Lingzhi Cheong; Xiurong Su
Journal:  Front Microbiol       Date:  2019-05-29       Impact factor: 5.640

  2 in total

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