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Molecular Epidemiology of Multi-Drug Resistant Acinetobacter baumannii Isolated in Shandong, China

Overview of attention for article published in Frontiers in Microbiology, October 2016
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Title
Molecular Epidemiology of Multi-Drug Resistant Acinetobacter baumannii Isolated in Shandong, China
Published in
Frontiers in Microbiology, October 2016
DOI 10.3389/fmicb.2016.01687
Pubmed ID
Authors

Meijie Jiang, Lijuan Liu, Yunhua Ma, Zhijun Zhang, Ning Li, Fusen Zhang, Shuping Zhao

Abstract

Acinetobacter baumannii is an emerging nosocomial pathogen prevalent in hospitals worldwide. In order to understand the molecular epidemiology of multi-drug resistant (MDR) A. baumannii, we investigated the genotypes of A. baumannii isolated from 10 hospitals in Shandong, China, from August 2013 to December 2013, by pulsed field gel electrophoresis (PFGE) and multilocus sequence typing (MLST). Antimicrobial resistance genes were analyzed by PCR and DNA sequencing. By PFGE analysis, we discovered 11 PFGE types in these 10 hospitals. By MLST, we assigned these isolates to 12 sequence types (STs), 10 of which belong to the cloning complex CC92, including the prevalent ST369, ST208, ST195, and ST368. Two new STs, namely ST794 and ST809, were detected only in one hospital. All isolates of the MDR A. baumannii were resistant to carbapenem, except 2 isolates, which did not express the blaOXA-23 carbapenemase gene, indicating blaOXA-23 is the major player for carbapenem resistance. We also discovered armA is likely to be responsible for amikacin resistance, and may play a role in gentamicin and tobramycin resistance. aac(3)-I is another gene responsible for gentamicin and tobramycin resistance. In summary, we discovered that the majority of the isolates in Shandong, China, were the STs belonging to the CC92. Besides, two new STs were detected in one hospital. These new STs should be further investigated for prevention of outbreaks caused by A. baumannii.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Student > Master 4 16%
Student > Ph. D. Student 3 12%
Student > Postgraduate 3 12%
Student > Doctoral Student 2 8%
Other 3 12%
Unknown 6 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 28%
Medicine and Dentistry 3 12%
Chemistry 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 4 16%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 October 2016.
All research outputs
#18,478,448
of 22,896,955 outputs
Outputs from Frontiers in Microbiology
#19,405
of 24,942 outputs
Outputs of similar age
#239,272
of 316,323 outputs
Outputs of similar age from Frontiers in Microbiology
#300
of 424 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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