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Uncovering the mechanisms of Acinetobacter baumannii virulence

Open access
Harding, Christian M., Hennon, Seth W., Feldman, Mario F.·2018·Nature Reviews Microbiology

Abstract

Acinetobacter baumannii is a nosocomial pathogen that causes ventilator-associated as well as bloodstream infections in critically ill patients, and the spread of multidrug-resistant Acinetobacter strains is cause for concern. Much of the success of A. baumannii can be directly attributed to its plastic genome, which rapidly mutates when faced with adversity and stress. However, fundamental virulence mechanisms beyond canonical drug resistance were recently uncovered that enable A. baumannii and, to a limited extent, other medically relevant Acinetobacter species to successfully thrive in the health-care environment. In this Review, we explore the molecular features that promote environmental persistence, including desiccation resistance, biofilm formation and motility, and we discuss the most recently identified virulence factors, such as secretion systems, surface glycoconjugates and micronutrient acquisition systems that collectively enable these pathogens to successfully infect their hosts.

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Crossref · 10.1038/nrmicro.2017.148

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Metadata

Authors
Harding, C. M., Hennon, S. W., & Feldman, M. F.
Venue
Nature Reviews Microbiology
Published
2017-12-18
Volume
16
Issue
2
Pages
91-102
ISSN
  • 1740-1526 (ISSN-L)
  • 1740-1534
OpenAlex
W2778732581
Cited by
1,026
References
9
FWCI
6.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Uncovering the mechanisms of Acinetobacter baumannii virulence. https://app.cochat.ai/papers/10.1038/nrmicro.2017.148
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Harding, C. M., Hennon, S. W., & Feldman, M. F. (2018). Uncovering the mechanisms of Acinetobacter baumannii virulence. Nature Reviews Microbiology. https://doi.org/10.1038/nrmicro.2017.148

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.