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Int. J. Mol. Sci. 2017, 18(2), 458; doi:10.3390/ijms18020458

Antibiotic Resistance Determinant-Focused Acinetobacter baumannii Vaccine Designed Using Reverse Vaccinology

1,2
,
3
,
2,4
and
2,5,*
1
Department of Pathogenobiology, College of Basic Medical Science, Jilin University, Changchun 130021, China
2
Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
3
Department of Neurosurgery, The Second Hospital of Jilin University, Changchun 130041, China
4
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
5
Center of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Christopher Woelk
Received: 27 December 2016 / Revised: 31 January 2017 / Accepted: 10 February 2017 / Published: 21 February 2017
(This article belongs to the Special Issue Reverse Vaccinology)
View Full-Text   |   Download PDF [1989 KB, uploaded 21 February 2017]   |  

Abstract

As one of the most influential and troublesome human pathogens, Acinetobacter baumannii (A. baumannii) has emerged with many multidrug-resistant strains. After collecting 33 complete A. baumannii genomes and 84 representative antibiotic resistance determinants, we used the Vaxign reverse vaccinology approach to predict classical type vaccine candidates against A. baumannii infections and new type vaccine candidates against antibiotic resistance. Our genome analysis identified 35 outer membrane or extracellular adhesins that are conserved among all 33 genomes, have no human protein homology, and have less than 2 transmembrane helices. These 35 antigens include 11 TonB dependent receptors, 8 porins, 7 efflux pump proteins, and 2 fimbrial proteins (FilF and CAM87009.1). CAM86003.1 was predicted to be an adhesin outer membrane protein absent from 3 antibiotic-sensitive strains and conserved in 21 antibiotic-resistant strains. Feasible anti-resistance vaccine candidates also include one extracellular protein (QnrA), 3 RND type outer membrane efflux pump proteins, and 3 CTX-M type β-lactamases. Among 39 β-lactamases, A. baumannii CTX-M-2, -5, and -43 enzymes are predicted as adhesins and better vaccine candidates than other β-lactamases to induce preventive immunity and enhance antibiotic treatments. This report represents the first reverse vaccinology study to systematically predict vaccine antigen candidates against antibiotic resistance for a microbial pathogen. View Full-Text
Keywords: Acinetobacter baumannii; reverse vaccinology; Vaxign; antibiotic resistance; vaccine candidate; bioinformatics Acinetobacter baumannii; reverse vaccinology; Vaxign; antibiotic resistance; vaccine candidate; bioinformatics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ni, Z.; Chen, Y.; Ong, E.; He, Y. Antibiotic Resistance Determinant-Focused Acinetobacter baumannii Vaccine Designed Using Reverse Vaccinology. Int. J. Mol. Sci. 2017, 18, 458.

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