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Higher Isolation of NDM-1 Producing Acinetobacter baumannii from the Sewage of the Hospitals in Beijing

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Title
Higher Isolation of NDM-1 Producing Acinetobacter baumannii from the Sewage of the Hospitals in Beijing
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0064857
Pubmed ID
Authors

Chuanfu Zhang, Shaofu Qiu, Yong Wang, Lihua Qi, Rongzhang Hao, Xuelin Liu, Yun Shi, Xiaofeng Hu, Daizhi An, Zhenjun Li, Peng Li, Ligui Wang, Jiajun Cui, Pan Wang, Liuyu Huang, John D. Klena, Hongbin Song

Abstract

Multidrug resistant microbes present in the environment are a potential public health risk. In this study, we investigate the presence of New Delhi metallo-β-lactamase 1 (NDM-1) producing bacteria in the 99 water samples in Beijing City, including river water, treated drinking water, raw water samples from the pools and sewage from 4 comprehensive hospitals. For the bla NDM-1 positive isolate, antimicrobial susceptibility testing was further analyzed, and Pulsed Field Gel Electrophoresis (PFGE) was performed to determine the genetic relationship among the NDM-1 producing isolates from sewage and human, as well as the clinical strains without NDM-1. The results indicate that there was a higher isolation of NDM-1 producing Acinetobacter baumannii from the sewage of the hospitals, while no NDM-1 producing isolates were recovered from samples obtained from the river, drinking, or fishpond water. Surprisingly, these isolates were markedly different from the clinical isolates in drug resistance and pulsed field gel electrophoresis profiles, suggesting different evolutionary relationships. Our results showed that the hospital sewage may be one of the diffusion reservoirs of NDM-1 producing bacteria.

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The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Unknown 114 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 16%
Student > Ph. D. Student 18 16%
Researcher 14 12%
Student > Bachelor 10 9%
Student > Doctoral Student 9 8%
Other 19 16%
Unknown 27 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 22%
Immunology and Microbiology 15 13%
Medicine and Dentistry 14 12%
Biochemistry, Genetics and Molecular Biology 14 12%
Environmental Science 3 3%
Other 11 9%
Unknown 33 28%