2011•Zhongguo yiyuan ganranxue zazhiRequires access

Drug resistance of AmpC enzyme-producing acinetobacter baumannii and distribution of ampC genes in Xi′an

Yi Zhang

Open publisher page 0 citations

Abstract

OBJECTIVE To investigate the status of the drug resistance and the distribution of the ampC gene,the detection of the AmpC enzyme in 146 strains of Acinetobacter baummannii.METHODS Microscan walkaway-4.0 was used to detect the susceptibility of antimicrobial agents against 146 clinical strains.AmpC gene was amplified by polymerase chain reaction(PCR).AmpC enzyme was examined by Cefoxitin in three dimensional test.RESULTS Among the 146 strains,ampC genes were found in 93 strains by PCR with the positive rate of 63.7%.65 strains had produced AmpC enzyme with the enzyme production rate of 44.5%.The sensitivity rates of 146 strains to IPM,LEV,AMK,FEP,TOB,SCF,GEN,CIP,TZP,CAZ,TIM,SXT,PI,ATM,CTX and CRO were 89.7%,75.3%,62.3%,59.6%,58.9%,48.6%,43.8%,22.6%,15.1%,15.1%,13.7%,11.6%,11.0%,3.4%,2.7% and 2.7%,respectively.CONCLUSION The drug resistance of A.baummannii is severe in Xi′an.To make clear about the highly productive AmpC enzyme strains is helpful for the clinical selection of antibiotics.

About this research paper

What this paper is about

OBJECTIVE To investigate the status of the drug resistance and the distribution of the ampC gene,the detection of the AmpC enzyme in 146 strains of Acinetobacter baummannii.METHODS Microscan walkaway-4.0 was used to detect the susceptibility of antimicrobial agents against 146 clinical strains.AmpC gene was amplified by polymerase chain reaction(PCR).AmpC enzyme was examined by Cefoxitin in three dimensional test.RESULTS Among the 146 strains,ampC genes were found in 93 strains by PCR with the positive rate of 63.7%.65 strains had produced AmpC enzyme with the enzyme production rate of 44.5%.The sensitivity rates of 146 strains to IPM,LEV,AMK,FEP,TOB,SCF,GEN,CIP,TZP,CAZ,TIM,SXT,PI,ATM,CTX and CRO were 89.7%,75.3%,62.3%,59.6%,58.9%,48.6%,43.8%,22.6%,15.1%,15.1%,13.7%,11.6%,11.0%,3.4%,2.7% and 2.7%,respectively.CONCLUSION The drug resistance of A.baummannii is severe in Xi′an.To make clear about the highly productive AmpC enzyme strains is helpful for the clinical selection of antibiotics.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

OBJECTIVE To investigate the status of the drug resistance and the distribution of the ampC gene,the detection of the AmpC enzyme in 146 strains of Acinetobacter baummannii.METHODS Microscan walkaway-4.0 was used to detect the susceptibility of antimicrobial agents against 146 clinical strains.AmpC gene was amplified by polymerase chain reaction(PCR).AmpC enzyme was examined by Cefoxitin in three dimensional test.RESULTS Among the 146 strains,ampC genes were found in 93 strains by PCR with the positive rate of 63.7%.65 strains had produced AmpC enzyme with the enzyme production rate of 44.5%.The sensitivity rates of 146 strains to IPM,LEV,AMK,FEP,TOB,SCF,GEN,CIP,TZP,CAZ,TIM,SXT,PI,ATM,CTX and CRO were 89.7%,75.3%,62.3%,59.6%,58.9%,48.6%,43.8%,22.6%,15.1%,15.1%,13.7%,11.6%,11.0%,3.4%,2.7% and 2.7%,respectively.CONCLUSION The drug resistance of A.baummannii is severe in Xi′an.To make clear about the highly productive AmpC enzyme strains is helpful for the clinical selection of antibiotics.

Key concepts: Cefoxitin, Microbiology, Acinetobacter baumannii, Drug resistance, Antibiotics, Biology, Antimicrobial, Enzyme

Related papers

Back to paper searchBrowse research topicsOriginal source
Drug resistance of AmpC enzyme-producing acinetobacter baumannii and distribution of ampC genes in Xi′an — Research Paper | ScholarLens