The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Species-specific activity of antibacterial drug combinations
Open accessAbstract
The spread of antimicrobial resistance has become a serious public health concern, making once-treatable diseases deadly again and undermining the achievements of modern medicine1,2. Drug combinations can help to fight multi-drug-resistant bacterial infections, yet they are largely unexplored and rarely used in clinics. Here we profile almost 3,000 dose-resolved combinations of antibiotics, human-targeted drugs and food additives in six strains from three Gram-negative pathogens—Escherichia coli, Salmonella enterica serovar Typhimurium and Pseudomonas aeruginosa—to identify general principles for antibacterial drug combinations and understand their potential. Despite the phylogenetic relatedness of the three species, more than 70% of the drug–drug interactions that we detected are species-specific and 20% display strain specificity, revealing a large potential for narrow-spectrum therapies. Overall, antagonisms are more common than synergies and occur almost exclusively between drugs that target different cellular processes, whereas synergies are more conserved and are enriched in drugs that target the same process. We provide mechanistic insights into this dichotomy and further dissect the interactions of the food additive vanillin. Finally, we demonstrate that several synergies are effective against multi-drug-resistant clinical isolates in vitro and during infections of the larvae of the greater wax moth Galleria mellonella, with one reverting resistance to the last-resort antibiotic colistin. Screening pairwise combinations of antibiotics and other drugs against three bacterial pathogens reveals that antagonistic and synergistic drug–drug interactions are specific to microbial species and strains.
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products
Datsenko, K. A., & Wanner, B. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.120163297 · Cited by 14,782
Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858
Tacconelli, E., Carrara, E., Savoldi, A., Harbarth, S., Mendelson, M., Monnet, D. L., Pulcini, C., Kahlmeter, G., Kluytmans, J., Carmeli, Y., et al. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30753-3 · Cited by 6,142
A Common Mechanism of Cellular Death Induced by Bactericidal Antibiotics
Kohanski, M. A., Dwyer, D. J., Hayete, B., Lawrence, C. A., & Collins, J. J. (2007) · Cell · doi:10.1016/j.cell.2007.06.049 · Cited by 2,982
THE TOXICITY OF POISONS APPLIED JOINTLY1
BLISS, C. I. (1939) · Annals of Applied Biology · doi:10.1111/j.1744-7348.1939.tb06990.x · Cited by 2,419
Antibacterial drug discovery in the resistance era
Brown, E. D., & Wright, G. D. (2016) · Nature · doi:10.1038/nature17042 · Cited by 2,247
Extensive impact of non-antibiotic drugs on human gut bacteria
Maier, L., Pruteanu, M., Kuhn, M., Zeller, G., Telzerow, A., Anderson, E. E., Brochado, A. R., Fernandez, K. C., Dose, H., Mori, H., et al. (2018) · Nature · doi:10.1038/nature25979 · Cited by 1,905
Self-citationA global genetic interaction network maps a wiring diagram of cellular function
Costanzo, M., VanderSluis, B., Koch, E. N., Baryshnikova, A., Pons, C., Tan, G., Wang, W., Usaj, M., Hanchard, J., Lee, S. D., et al. (2016) · Science · doi:10.1126/science.aaf1420 · Cited by 1,240
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
Progress in Alternative Strategies to Combat Antimicrobial Resistance: Focus on Antibiotics
Murugaiyan, J., Kumar, P. A., Rao, G. S., Iskandar, K., Hawser, S., Hays, J. P., Mohsen, Y., Adukkadukkam, S., Awuah, W. A., Jose, R. A. M., et al. (2022) · Antibiotics · doi:10.3390/antibiotics11020200 · Cited by 567
Antibiotic perturbations to the gut microbiome
Fishbein, S. R. S., Mahmud, B., & Dantas, G. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-023-00933-y · Cited by 440
“Correspond-ingly, it may be possible to achieve species-specific treatment by using drug combinations that have synergistic effects against pathogens and antagonistic effects against commensal microorganisms 113,170 .”
BackgroundCampos, A. I., & Zampieri, M. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.04.001 · Cited by 79
New antifungal strategies: Drug combination and co-delivery
Zhu, P., Li, Y., Guo, T., Liu, S., Tancer, R. J., Hu, C., Zhao, C., Xue, C., & Liao, G. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.114874 · Cited by 63
Metadata
- Authors
- Brochado, A. R., Telzerow, A., Bobonis, J., Banzhaf, M., Mateus, A., Selkrig, J., Huth, E., Bassler, S., Zamarreño Beas, J., Zietek, M., Ng, N., Foerster, S., Ezraty, B., Py, B., Barras, F., Savitski, M. M., Bork, P., Göttig, S., & Typas, A.
- Venue
- Nature
- Published
- 2018-07
- Volume
- 559
- Issue
- 7713
- Pages
- 259-263
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2810727101
- Cited by
- 357
- References
- 46
- FWCI
- 11.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Brochado, A. R., Telzerow, A., Bobonis, J., Banzhaf, M., Mateus, A., Selkrig, J., Huth, E., Bassler, S., Zamarreño Beas, J., Zietek, M., Ng, N., Foerster, S., Ezraty, B., Py, B., Barras, F., Savitski, M. M., Bork, P., Göttig, S., & Typas, A. (2018). Species-specific activity of antibacterial drug combinations. Nature. https://doi.org/10.1038/s41586-018-0278-9
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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.