Biofilms are complex communities of microorganisms embedded in a matrix of polymeric substances that have been highlighted as a contributing factor for the poor resolution of chronic wounds1. The study of these highly organized, persistent microbial populations is particularly important for diabetic patients where poor circulation on the limbs and altered peripheral sensory mechanisms lead to undetected lesions2. In the United States, it is estimated that 15% of diabetic patients will develop at least one ulcer during the course of their lives. This translates to an economic expenditure of around 28 billion dollars in treatment3,4, not to mention the immensurable emotional and social burden. Understanding the factors that allow microbial communities to persist in the wound bed and the impact these biofilms have in the healing events is imperative to drive better care for affected patients and propel the development of new treatment approaches. Therefore, the establishment of reproducible and translatable in vivo models for exploring bacterial-host interactions is paramount.
Murine models have been successfully developed to study the impact of biofilms in chronic wounds. These models, however, often utilize haired species and evaluate biofilm clearance by plate counts for viable bacterial cells of excised tissue from sacrificed animals, making them time consuming and costly.
A biophotonic alternative to the end point sampling of animals in evaluating infection was first proposed by Contag et al. (1995)5, who developed a method to capture luminescence from constitutively bioluminescent Salmonella typhimurium to measure antibiotic treatment efficacy. Other studies taking advantage of bioluminescence-emitting bacteria followed. For example, Rochetta et al. (2001)6 validated an infection model to study Escherichia coli thigh infections in mice by measuring luminescence using an intensified charge-coupled device and later, Kadurugamuwa et al. (2003)7 took advantage of the photon emitting properties of an engineered strain of Staphylococcus aureus to investigate the efficacy of several antibiotics in a catheter wound model in mice.
The method characterized here presents a straightforward protocol to induce diabetes in hairless mice, produce and inoculate wounds with pre-formed bioluminescent biofilms of P. aeruginosa, and conduct biophotonic monitoring of the infection using an in vivo imaging system. It offers a direct, rapid, in situ, non-invasive and quantitative process to evaluate biofilms in chronic wounds and in addition, allows for additional analysis such as microscopic imaging of the healing wounds, intermittent blood collection for cytokine measurements, and terminal tissue collection for histology.