The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Antibiotic-resistant bacteria show widespread collateral sensitivity to antimicrobial peptides
Open accessAbstract
Antimicrobial peptides are promising alternative antimicrobial agents. However, little is known about whether resistance to small-molecule antibiotics leads to cross-resistance (decreased sensitivity) or collateral sensitivity (increased sensitivity) to antimicrobial peptides. We systematically addressed this question by studying the susceptibilities of a comprehensive set of 60 antibiotic-resistant Escherichia coli strains towards 24 antimicrobial peptides. Strikingly, antibiotic-resistant bacteria show a high frequency of collateral sensitivity to antimicrobial peptides, whereas cross-resistance is relatively rare. We identify clinically relevant multidrug-resistance mutations that increase bacterial sensitivity to antimicrobial peptides. Collateral sensitivity in multidrug-resistant bacteria arises partly through regulatory changes shaping the lipopolysaccharide composition of the bacterial outer membrane. These advances allow the identification of antimicrobial peptide–antibiotic combinations that enhance antibiotic activity against multidrug-resistant bacteria and slow down de novo evolution of resistance. In particular, when co-administered as an adjuvant, the antimicrobial peptide glycine-leucine-amide caused up to 30-fold decrease in the antibiotic resistance level of resistant bacteria. Our work provides guidelines for the development of efficient peptide-based therapies of antibiotic-resistant infections. Multidrug-resistant Escherichia coli have a high frequency of collateral sensitivity to antimicrobial peptides, which may arise from changes in lipopolysaccharide regulation.
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Reassessing the Host Defense Peptide Landscape
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Antimicrobial peptides towards clinical application: Delivery and formulation
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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
Metadata
- Authors
- Lázár, V., Martins, A., Spohn, R., Daruka, L., Grézal, G., Fekete, G., Számel, M., Jangir, P. K., Kintses, B., Csörgő, B., Nyerges, Á., Györkei, Á., Kincses, A., Dér, A., Walter, F. R., Deli, M. A., Urbán, E., Hegedűs, Z., Olajos, G., Méhi, O., Bálint, B., Nagy, I., Martinek, T. A., Papp, B., & Pál, C.
- Venue
- Nature Microbiology
- Published
- 2018-05-24
- Volume
- 3
- Issue
- 6
- Pages
- 718-731
- ISSN
- 2058-5276 (ISSN-L)
- OpenAlex
- W2803219518
- Cited by
- 375
- References
- 66
- FWCI
- 28.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lázár, V., Martins, A., Spohn, R., Daruka, L., Grézal, G., Fekete, G., Számel, M., Jangir, P. K., Kintses, B., Csörgő, B., Nyerges, Á., Györkei, Á., Kincses, A., Dér, A., Walter, F. R., Deli, M. A., Urbán, E., Hegedűs, Z., Olajos, G., . . . Pál, C. (2018). Antibiotic-resistant bacteria show widespread collateral sensitivity to antimicrobial peptides. Nature Microbiology. https://doi.org/10.1038/s41564-018-0164-0
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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.
