Understanding and Sensitizing Density-Dependent Persistence to Quinolone Antibiotics
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Author(s)
Hamblin, Meagan
Gutierrez, Arnaud
Jain, Saloni R.
Saluja, Prerna Bhargava
Lobritz, Michael Andrew
Collins, James J.
Date Issued
December 2017
Journal
Molecular Cell
Publisher
Elsevier BV
Citation
Gutierrez, Arnaud et al. “Understanding and Sensitizing Density-Dependent Persistence to Quinolone Antibiotics.” Molecular Cell 68, 6 (December 2017): 1147–1154 © 2017 The Authors
Version
Final published version
Abstract
Physiologic and environmental factors can modulate antibiotic activity and thus pose a significant challenge to antibiotic treatment. The quinolone class of antibiotics, which targets bacterial topoisomerases, fails to kill bacteria that have grown to high density; however, the mechanistic basis for this persistence is unclear. Here, we show that exhaustion of the metabolic inputs that couple carbon catabolism to oxidative phosphorylation is a primary cause of growth phase-dependent persistence to quinolone antibiotics. Supplementation of stationary-phase cultures with glucose and a suitable terminal electron acceptor to stimulate respiratory metabolism is sufficient to sensitize cells to quinolone killing. Using this approach, we successfully sensitize high-density populations of Escherichia coli, Staphylococcus aureus, and Mycobacterium smegmatis to quinolone antibiotics. Our findings link growth-dependent quinolone persistence to discrete impairments in respiratory metabolism and identify a strategy to kill non-dividing bacteria. Gutierrez et al. show that activation of cellular respiration is sufficient to sensitize antibiotic refractory bacteria at high densities to drugs targeting DNA topoisomerases. This suggests that the nutrient environment and metabolic state are key components of bacterial persistence phenotypes. Keywords: quinolones; drug persistence; antibiotic; oxidative phosphorylation
MIT Department
Institute for Medical Engineering and Science
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
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DOI of Published Version
https://doi.org/10.1016/J.MOLCEL.2017.11.012
