Abstract
The aim of this work was the development of a murine model of septic arthrosynovitis and osteomyelitis caused by Staphylococcus aureus, which could mimic the natural disease occurring in humans and which could be suitable for testing preventive and therapeutic interventions. This model could be particularly useful since S. aureus-mediated joints and bones infections are relevant in humans, both in terms of frequency and severity.
Our attention focused in tracking bacterial infiltration in joints and bones over time using different microbiological and hystopathological tools, which allowed us to have a complete overview of the situation and to evaluate the immunological actions undertaken by the host to contain or eradicate the bacterial infection.
Antibodies and cytokines profiles, as well as recruitment of host immune cells at joints of immunized and infected mice were therefore monitored for a time period that allowed us to study both the acute and the chronic phases of the disease in situ. Finally the Novartis vaccine formulation proposed against S. aureus infections was tested for its capacity to protect immunized mice from joints infections, and the preventive immunization was compared to a standard antibiotic prophylaxis.
The availability of powerful tools to study specific bacterial-mediated diseases is nowadays an important requirement for the scientific community to shed light on the complex interactions between host and pathogens and to test treatments for preventing or contrasting infections. We believe that our work significantly contributes to the overall knowledge in the field of S. aureus-dependent pathologies, opening the possibility for further investigations in several fields of study.
| Identifer | oai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:6570 |
| Date | 04 April 2014 |
| Creators | Corrado, Alessia <1984> |
| Contributors | Scarlato, Vincenzo |
| Publisher | Alma Mater Studiorum - Università di Bologna |
| Source Sets | Università di Bologna |
| Language | English |
| Detected Language | English |
| Type | Doctoral Thesis, PeerReviewed |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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