The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Targeting bacterial membrane function: an underexploited mechanism for treating persistent infections
Open accessAbstract
Persistent infections involving slow-growing or non-growing bacteria are hard to treat with antibiotics that target biosynthetic processes in growing cells. Consequently, there is a need for antimicrobials that can treat infections containing dormant bacteria. In this Review, we discuss the emerging concept that disrupting the bacterial membrane bilayer or proteins that are integral to membrane function (including membrane potential and energy metabolism) in dormant bacteria is a strategy for treating persistent infections. The clinical applicability of these approaches is exemplified by the efficacy of lipoglycopeptides that damage bacterial membranes and of the diarylquinoline TMC207, which inhibits membrane-bound ATP synthase. Despite some drawbacks, membrane-active agents form an important new means of eradicating recalcitrant, non-growing bacteria.
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Cites
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Persistent bacterial infections and persister cells
Fisher, R. A., Gollan, B., & Helaine, S. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.42 · Cited by 1,243
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O'Connell, K. M. G., Hodgkinson, J. T., Sore, H. F., Welch, M., Salmond, G. P. C., & Spring, D. R. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201209979 · Cited by 435
Essential Oils, A New Horizon in Combating Bacterial Antibiotic Resistance
Yap, P. S. X., Yiap, B. C., Ping, H. C., & Lim, S. H. E. (2014) · The Open Microbiology Journal · doi:10.2174/1874285801408010006 · Cited by 426
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Metadata
- Authors
- Hurdle, J. G., O'Neill, A. J., Chopra, I., & Lee, R. E.
- Venue
- Nature Reviews Microbiology
- Published
- 2010-12-16
- Volume
- 9
- Issue
- 1
- Pages
- 62-75
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W1989761771
- Cited by
- 871
- References
- 14
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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