Failure of antibiotic treatment in microbial populations
Patrick De Leenheer, Nick Cogan

TL;DR
This paper analyzes why antibiotic treatments fail in bacterial populations, highlighting the role of persister cells, and provides mathematical conditions for treatment success or failure, suggesting that periodic dosing can sometimes outperform continuous administration.
Contribution
It offers a robust mathematical condition for treatment failure in a general chemostat model and explores how dosing schedules influence bacterial eradication.
Findings
Periodic dosing can fail to eradicate bacteria due to persister cells.
Optimal antibiotic administration may be non-monotonic, favoring periodic over continuous dosing.
The model predicts treatment outcomes regardless of initial bacterial population composition.
Abstract
The tolerance of bacterial populations to biocidal or antibiotic treatment has been well documented in both biofilm and planktonic settings. However, there is still very little known about the mechanisms that produce this tolerance. Evidence that small, non-mutant subpopulations of bacteria are not affected by antibiotic challenge has been accumulating and provides an attractive explanation for the failure of typical dosing protocols. Although a dosing challenge can kill all the susceptible bacteria, the remaining persister cells can serve as a source of population regrowth. We give a robust condition for the failure of a periodic dosing protocol for a general chemostat model, which supports the mathematical conclusions and simulations of an earlier, more specialized batch model. Our condition implies that the treatment protocol fails globally, in the sense that a mixed bacterial…
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Taxonomy
TopicsAntibiotic Resistance in Bacteria · Antibiotics Pharmacokinetics and Efficacy · Antimicrobial Resistance in Staphylococcus
