The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.
Metal Resistance and Its Association With Antibiotic Resistance
Open accessAbstract
Antibiotic resistance is recognised as a major global threat to public health by the World Health Organization. Currently, several hundred thousand deaths yearly can be attributed to infections with antibiotic-resistant bacteria. The major driver for the development of antibiotic resistance is considered to be the use, misuse and overuse of antibiotics in humans and animals. Nonantibiotic compounds, such as antibacterial biocides and metals, may also contribute to the promotion of antibiotic resistance through co-selection. This may occur when resistance genes to both antibiotics and metals/biocides are co-located together in the same cell (co-resistance), or a single resistance mechanism (e.g. an efflux pump) confers resistance to both antibiotics and biocides/metals (cross-resistance), leading to co-selection of bacterial strains, or mobile genetic elements that they carry. Here, we review antimicrobial metal resistance in the context of the antibiotic resistance problem, discuss co-selection, and highlight critical knowledge gaps in our understanding.
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Cited by
Antibiotic resistance in the environment
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Self-citationEnvironmental antimicrobial resistance and its drivers: a potential threat to public health
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Metadata
- Authors
- Pal, C., Asiani, K., Arya, S., Rensing, C., Stekel, D. J., Larsson, D. G. J., & Hobman, J. L.
- Venue
- Advances in Microbial Physiology
- Publisher
- Elsevier
- Published
- 2017
- Volume
- 70
- Pages
- 261-313
- ISSN
- 0065-2911 (ISSN-L)
- OpenAlex
- W2605092325
- Cited by
- 438
- References
- 190
- FWCI
- 38.67
- Type
- book chapter
- Language
- en
- Open access
- green
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- Pal, C., Asiani, K., Arya, S., Rensing, C., Stekel, D. J., Larsson, D. G. J., & Hobman, J. L. (2017). Metal Resistance and Its Association With Antibiotic Resistance. Advances in Microbial Physiology. https://doi.org/10.1016/bs.ampbs.2017.02.001
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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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