The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Persistence of antibiotic resistance in bacterial populations
Abstract
Unfortunately for mankind, it is very likely that the antibiotic resistance problem we have generated during the last 60 years due to the extensive use and misuse of antibiotics is here to stay for the foreseeable future. This view is based on theoretical arguments, mathematical modeling, experiments and clinical interventions, suggesting that even if we could reduce antibiotic use, resistant clones would remain persistent and only slowly (if at all) be outcompeted by their susceptible relatives. In this review, we discuss the multitude of mechanisms and processes that are involved in causing the persistence of chromosomal and plasmid-borne resistance determinants and how we might use them to our advantage to increase the likelihood of reversing the problem. Of particular interest is the recent demonstration that a very low antibiotic concentration can be enriching for resistant bacteria and the implication that antibiotic release into the environment could contribute to the selection for resistance. Several mechanisms are contributing to the stability of antibiotic resistance in bacterial populations and even if antibiotic use is reduced it is likely that most resistance mechanisms will persist for considerable times.
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Cites
Escherichia coli and Salmonella :cellular and molecular biology
Neidhardt, F. C. (1996) · ASM Press eBooks · Cited by 8,197
Antibiotics in the aquatic environment – A review – Part I
Kümmerer, K. (2009) · Chemosphere · doi:10.1016/j.chemosphere.2008.11.086 · Cited by 4,475
Cabello, F. C. (2006) · Environmental Microbiology · doi:10.1111/j.1462-2920.2006.01054.x · Cited by 2,329
Antibiotic resistance and its cost: is it possible to reverse resistance?
Andersson, D. I., & Hughes, D. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2319 · Cited by 2,294
Self-citationJacoby, G. A. (2009) · Clinical Microbiology Reviews · doi:10.1128/cmr.00036-08 · Cited by 2,165
Pharmaceutical antibiotic compounds in soils – a review
Thiele‐Bruhn, S. (2003) · Journal of Plant Nutrition and Soil Science · doi:10.1002/jpln.200390023 · Cited by 1,308
Cosgrove, S. E. (2006) · Clinical Infectious Diseases · doi:10.1086/499406 · Cited by 1,271
Seppälä, H., Klaukka, T., Vuopio-Varkila, J., Muotiala, A., Helenius, H., Lager, K., & Huovinen, P. (1997) · New England Journal of Medicine · doi:10.1056/nejm199708143370701 · Cited by 1,206
Quinolone resistance from a transferable plasmid
Martínez-Martínez, L., Pascual, A., & Jacoby, G. A. (1998) · The Lancet · doi:10.1016/s0140-6736(97)07322-4 · Cited by 1,100
The worldwide emergence of plasmid-mediated quinolone resistance
Robicsek, A., Jacoby, G. A., & Hooper, D. C. (2006) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(06)70599-0 · Cited by 966
Cited by
Antibiotic resistance in the environment
Larsson, D. G. J., & Flach, C.-F. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00649-x · Cited by 3,164
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
Nnadozie, C. F., & Odume, O. N. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2019.113067 · Cited by 365
Persistence and reversal of plasmid-mediated antibiotic resistance
Lopatkin, A. J., Meredith, H. R., Srimani, J. K., Pfeiffer, C., Durrett, R., & You, L. (2017) · Nature Communications · doi:10.1038/s41467-017-01532-1 · Cited by 359
Broeckx, G., Vandenheuvel, D., Claes, I. J. J., Lebeer, S., & Kiekens, F. (2016) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2016.04.002 · Cited by 328
Metadata
- Authors
- Andersson, D. I., & Hughes, D.
- Venue
- FEMS Microbiology Reviews
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09
- Volume
- 35
- Issue
- 5
- Pages
- 901-911
- ISSN
- 0168-6445 (ISSN-L)
- 1574-6976
- OpenAlex
- W2142612394
- Cited by
- 435
- References
- 91
- FWCI
- 12.10
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
