| Literature DB >> 29973719 |
Ana Rita Brochado1, Anja Telzerow1, Jacob Bobonis1, Manuel Banzhaf1,2, André Mateus1, Joel Selkrig1, Emily Huth3, Stefan Bassler1, Jordi Zamarreño Beas4, Matylda Zietek1, Natalie Ng5, Sunniva Foerster6, Benjamin Ezraty4, Béatrice Py4, Frédéric Barras4,7, Mikhail M Savitski1, Peer Bork8,9,10,11, Stephan Göttig3, Athanasios Typas12,13.
Abstract
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.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29973719 PMCID: PMC6219701 DOI: 10.1038/s41586-018-0278-9
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962