Model of Ciprofloxacin Killing Enhanced by Hyperbaric Oxygen Treatment in Pseudomonas aeruginosa Biofilms

P. A. Gade, T. B. Olsen, P. Ø. Jensen, Mette Kolpen, Kaj-Åge Henneberg, Thomas Sams

    Research output: Contribution to conferencePosterResearchpeer-review

    85 Downloads (Pure)


    In chronic Pseudomonas aeruginosa (PA) biofilm lung infections the bacteria are protected from the immune system of the host and from antibiotic treatment. It has been demonstrated that the susceptibility of the bacteria to antibiotic treatment can be enhanced by hyperbaric oxygen treatment. Here we present a reaction-diffusion model that describes the combined effect of ciprofloxacin diffusion, oxygen diffusion and depletion, bacterial growth and killing, and adaptation of the bacteria to ciprofloxacin. In the model, the oxygen diffusion and depletion use a set of parameters derived from experiments. The description of ciprofloxacin killing uses parameter values from the literature in combination with our estimates. The complete oxygen model comprises a reaction-diffusion equation describing the oxygen consumption by using a Michaelis-Menten reaction term. The oxygen model performed well in predicting oxygen concentrations in both time and depth into the biofilm. At 2.8 bar pure oxygen pressure, HBOT increases the penetration depth of oxygen into the biofilm by a of factor 4 and we see that hyperbaric oxygen treatment significantly increases the killing by ciprofloxacin in a PAO1 biofilm in alignment with the experimental results
    Original languageEnglish
    Publication date2018
    Publication statusPublished - 2018
    Event8th ASM Conference on Biofilms - Omni Shoreham Hotel, Washington DC, United States
    Duration: 7 Oct 201811 Oct 2018


    Conference8th ASM Conference on Biofilms
    LocationOmni Shoreham Hotel
    Country/TerritoryUnited States
    CityWashington DC


    Dive into the research topics of 'Model of Ciprofloxacin Killing Enhanced by Hyperbaric Oxygen Treatment in Pseudomonas aeruginosa Biofilms'. Together they form a unique fingerprint.

    Cite this