Literature DB >> 27672351

Establishment of a Simple and Quick Method for Detecting Extended-Spectrum β-Lactamase (ESBL) Genes in Bacteria.

Song-Tao Han1, Ying Fei2, Jin-You Huang3, Mei Xu3, Li-Chan Chen4, D Joshua Liao5, Yu-Jie Tan1.   

Abstract

Extended-spectrum β-lactamase (ESBL) genes that render bacteria resistant to antibiotics are commonly detected using phenotype testing, which is time consuming and not sufficiently accurate. To establish a better method, we used phenotype testing to identify ESBL-positive bacterial strains and conducted PCR to screen for TEM (named after the patient Temoneira who provided the first sample), sulfhydryl reagent variable (SHV), cefotaxime (CTX)-M-1, and CTX-M-9, the 4 most common ESBL types and subtypes. We then performed multiplex PCR with 1 primer containing a biotin and hybridized the PCR products with gene-specific probes that were coupled with microbeads and coated with a specific fluorescence. The hybrids were linked to streptavidin-R-phycoerythrins (SA-PEs) and run through a flow cytometer, which sorted the fluorescently dyed microbeads and quantified the PEs. The results from single PCR, multiplex PCR, and cytometry were consistent with each other. We used this method to test 169 clinical specimens that had been determined for phenotypes and found 154 positive for genotypes, including 30 of the 45 samples that were negative for phenotypes. The CTX-M genotype tests alone, counting both positive and negative cases, showed 99.41% (168/169) consistency with the ESBL phenotype test. Thus, we have established a multiplex-PCR system as a simple and quick method that is high throughput and accurate for detecting 4 common ESBL types and subtypes.

Entities:  

Keywords:  antibiotics; drug-resistance gene; flow fluorescence; multiplex PCR

Mesh:

Substances:

Year:  2016        PMID: 27672351      PMCID: PMC5026501          DOI: 10.7171/jbt.16-2704-001

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  13 in total

Review 1.  Minor extended-spectrum β-lactamases.

Authors:  Esragul Akinci; Haluk Vahaboglu
Journal:  Expert Rev Anti Infect Ther       Date:  2010-11       Impact factor: 5.091

2.  Oligonucleotide microarrays with horseradish peroxidase-based detection for the identification of extended-spectrum β-lactamases.

Authors:  Mayya Yu Rubtsova; Maria M Ulyashova; Mikhail V Edelstein; Alexey M Egorov
Journal:  Biosens Bioelectron       Date:  2010-07-03       Impact factor: 10.618

Review 3.  Epidemiology and Management of Emerging Drug-Resistant Gram-Negative Bacteria: Extended-Spectrum β-Lactamases and Beyond.

Authors:  Daniel P Boyle; Teresa R Zembower
Journal:  Urol Clin North Am       Date:  2015-07-15       Impact factor: 2.241

Review 4.  Beta-lactamase nomenclature.

Authors:  George A Jacoby
Journal:  Antimicrob Agents Chemother       Date:  2006-04       Impact factor: 5.191

Review 5.  The ABCD's of β-lactamase nomenclature.

Authors:  Karen Bush
Journal:  J Infect Chemother       Date:  2013-07-05       Impact factor: 2.211

Review 6.  Multiparametric determination of genes and their point mutations for identification of beta-lactamases.

Authors:  M Yu Rubtsova; M M Ulyashova; T T Bachmann; R D Schmid; A M Egorov
Journal:  Biochemistry (Mosc)       Date:  2010-12       Impact factor: 2.487

Review 7.  Characterization of ESBL disseminating plasmids.

Authors:  Alma Brolund; Linus Sandegren
Journal:  Infect Dis (Lond)       Date:  2015-07-01

8.  Clinical implications, risk factors and mortality following community-onset bacteremia caused by extended-spectrum β-lactamase (ESBL) and non-ESBL producing Escherichia coli.

Authors:  Chia-Jung Hsieh; Yea-Huei Shen; Kao-Pin Hwang
Journal:  J Microbiol Immunol Infect       Date:  2010-06       Impact factor: 4.399

Review 9.  The β-Lactams Strike Back: Ceftazidime-Avibactam.

Authors:  Evan J Zasowski; Jeffrey M Rybak; Michael J Rybak
Journal:  Pharmacotherapy       Date:  2015-08       Impact factor: 4.705

10.  Hybridization properties of long nucleic acid probes for detection of variable target sequences, and development of a hybridization prediction algorithm.

Authors:  Christina Ohrmalm; Magnus Jobs; Ronnie Eriksson; Sultan Golbob; Amal Elfaitouri; Farid Benachenhou; Maria Strømme; Jonas Blomberg
Journal:  Nucleic Acids Res       Date:  2010-09-22       Impact factor: 16.971

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