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Identification of Novel Vaccine Candidates against Multidrug-Resistant Acinetobacter baumannii

Overview of attention for article published in PLOS ONE, October 2013
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Title
Identification of Novel Vaccine Candidates against Multidrug-Resistant Acinetobacter baumannii
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077631
Pubmed ID
Authors

Danilo G. Moriel, Scott A. Beatson, Daniël J. Wurpel, Jeffrey Lipman, Graeme R. Nimmo, David L. Paterson, Mark A. Schembri

Abstract

Acinetobacter baumannii is an emerging opportunistic bacterium associated with nosocomial infections in intensive care units. The alarming increase in infections caused by A. baumannii is strongly associated with enhanced resistance to antibiotics, in particular carbapenems. This, together with the lack of a licensed vaccine, has translated into significant economic, logistic and health impacts to health care facilities. In this study, we combined reverse vaccinology and proteomics to identify surface-exposed and secreted antigens from A. baumannii. Using in silico prediction tools and comparative genome analysis in combination with in vitro proteomic approaches, we identified 42 antigens that could be used as potential vaccine targets. Considering the paucity of effective antibiotics available to treat multidrug-resistant A. baumannii infections, these vaccine targets may serve as a framework for the development of a broadly protective multi-component vaccine, an outcome that would have a major impact on the burden of A. baumannii infections in intensive care units across the globe.

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Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 1%
Taiwan 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 15 15%
Student > Doctoral Student 11 11%
Student > Master 10 10%
Student > Bachelor 9 9%
Other 16 16%
Unknown 17 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 25%
Biochemistry, Genetics and Molecular Biology 17 17%
Medicine and Dentistry 13 13%
Immunology and Microbiology 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 11 11%
Unknown 23 23%