Bacterial fitness shapes the population dynamics of antibiotic-resistant and -susceptible bacteria in a model of combined antibiotic and anti-virulence treatment
Lucy Ternent, Rosemary J. Dyson, Anne-Marie Krachler, Sara Jabbari

TL;DR
This paper presents a mathematical model analyzing how bacterial fitness influences the dynamics of antibiotic-resistant and susceptible bacteria under combined antibiotic and anti-virulence treatments, highlighting strategies to prevent resistance.
Contribution
It introduces a theoretical framework to identify conditions where combined treatments effectively clear infections and prevent resistance emergence.
Findings
Combined therapy can prevent resistant subpopulation emergence.
Anti-virulence drugs can be effective beyond prophylaxis.
Model guides optimal treatment strategies.
Abstract
Bacterial resistance to antibiotic treatment is a huge concern: introduction of any new antibiotic is shortly followed by the emergence of resistant bacterial isolates in the clinic. This issue is compounded by a severe lack of new antibiotics reaching the market. The significant rise in clinical resistance to antibiotics is especially problematic in nosocomial infections, where already vulnerable patients may fail to respond to treatment, causing even greater health concern. A recent focus has been on the development of anti-virulence drugs as a second line of defence in the treatment of antibiotic-resistant infections. This treatment, which weakens bacteria by reducing their virulence rather than killing them, should allow infections to be cleared through the body's natural defence mechanisms. In this way there should be little to no selective pressure exerted on the organism and, as…
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Taxonomy
TopicsEvolution and Genetic Dynamics · Antibiotic Resistance in Bacteria · Antibiotics Pharmacokinetics and Efficacy
