The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Alternating antibiotic treatments constrain evolutionary paths to multidrug resistance
Open accessAbstract
Significance: Antibiotic resistance is a growing threat, but the pace of drug discovery remains slow. Combination therapy can inhibit the emergence of de novo resistance but is often too toxic for long-term use. Alternating treatments, in which drugs are used sequentially with periodic switching, have been proposed as a substitute, but it remains uncertain when and how they slow the evolution of resistance. Using experimental evolution and whole-genome sequencing, we find that alternating drugs slows the rate of increase in resistance compared with single-drug treatments, by constraining resistance mutations with trade-offs in resistance to a second drug. Thus, drug combinations can exploit these trade-offs to slow the evolution of resistance, even when the drugs are not used simultaneously.
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Citations
Cites
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Antibacterial resistance worldwide: causes, challenges and responses
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Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins
Weinreich, D. M., Delaney, N. F., DePristo, M. A., & Hartl, D. L. (2006) · Science · doi:10.1126/science.1123539 · Cited by 1,415
Tackling antibiotic resistance
Bush, K., Courvalin, P., Dantas, G., Davies, J., Eisenstein, B., Huovinen, P., Jacoby, G. A., Kishony, R., Kreiswirth, B. N., Kutter, E., et al. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2693 · Cited by 1,062
Self-citationMechanisms of Resistance to Quinolones
Jacoby, G. A. (2005) · Clinical Infectious Diseases · doi:10.1086/428052 · Cited by 924
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Evolutionary paths to antibiotic resistance under dynamically sustained drug selection
Toprak, E., Veres, A., Michel, J.-B., Chait, R., Hartl, D. L., & Kishony, R. (2012) · Nature Genetics · doi:10.1038/ng.1034 · Cited by 764
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Cited by
Drug combinations: a strategy to extend the life of antibiotics in the 21st century
Tyers, M., & Wright, G. D. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0141-x · Cited by 820
Antibiotic resistance: turning evolutionary principles into clinical reality
Andersson, D. I., Balaban, N. Q., Baquero, F., Courvalin, P., Glaser, P., Gophna, U., Kishony, R., Molin, S., & Tønjum, T. (2020) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaa001 · Cited by 238
Self-citationAntibiotic collateral sensitivity is contingent on the repeatability of evolution
Nichol, D., Rutter, J., Bryant, C., Hujer, A. M., Lek, S., Adams, M. D., Jeavons, P., Anderson, A. R. A., Bonomo, R. A., & Scott, J. G. (2019) · Nature Communications · doi:10.1038/s41467-018-08098-6 · Cited by 174
Mutalik, V. K., & Arkin, A. P. (2022) · iScience · doi:10.1016/j.isci.2022.104121 · Cited by 32
Metadata
- Authors
- Kim, S., Lieberman, T. D., & Kishony, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-09-22
- Volume
- 111
- Issue
- 40
- Pages
- 14494-14499
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2111020219
- Cited by
- 264
- References
- 44
- FWCI
- 13.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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