Antimicrobial interactions: mechanisms and implications for drug discovery and resistance evolution

2015/06/01 by Tobias Bollenbach · 2 citations
Biochemistry, Genetics and Molecular Biology · Medicine · #Antibiotic Resistance in Bacteria #Evolution and Genetic Dynamics #Microbial Natural Products and Biosynthesis

paper · pdf · doi:10.1016/j.mib.2015.05.008

openalex publication_date 2015/06/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/01

Abstract

Combining antibiotics is a promising strategy for increasing treatment efficacy and for controlling resistance evolution. When drugs are combined, their effects on cells may be amplified or weakened, that is the drugs may show synergistic or antagonistic interactions. Recent work revealed the underlying mechanisms of such drug interactions by elucidating the drugs' joint effects on cell physiology. Moreover, new treatment strategies that use drug combinations to exploit evolutionary tradeoffs were shown to affect the rate of resistance evolution in predictable ways. High throughput studies have further identified drug candidates based on their interactions with established antibiotics and general principles that enable the prediction of drug interactions were suggested. Overall, the conceptual and technical foundation for the rational design of potent drug combinations is rapidly developing.

Citations

• Three Decades of β-Lactamase Inhibitors
• Metabolite-enabled eradication of bacterial persisters by aminoglycosides
• THE TOXICITY OF POISONS APPLIED JOINTLY1
• Antagonism between Bacteriostatic and Bactericidal Antibiotics Is Prevalent

Cited by

• A systematic review and individual bacterial species level meta-analysis of in vitro studies on the efficacy of ceftazidime/avibactam combined with other antimicrobials against carbapenem-resistant Gram-negative bacteria
• Antibiotic [wikipedia]