A5022109046- Orthopaedic implants and arthroplasty
- Orthopedic Infections and Treatments
- Bacterial biofilms and quorum sensing
- Cystic Fibrosis Research Advances
- thermodynamics and calorimetric analyses
- Infective Endocarditis Diagnosis and Management
- Antibiotic Resistance in Bacteria
Ghent University
2023-2024
The presence of Pseudomonas aeruginosa biofilms in cystic fibrosis (CF) patients suffering from chronic lung infections contributes to the failure antimicrobial therapy. Conventionally, minimal inhibitory concentration (MIC) is determined assess susceptibility a pathogen, however this parameter fails predict success treating biofilm-associated infections. In present study we developed high throughput method determine required prevent P. biofilm formation, using synthetic sputum medium...
Aim Fast and accurate identification of pathogens causing periprosthetic joint infections (PJI) is essential to initiate effective antimicrobial treatment. Culture-based approaches frequently yield false negative results, despite clear signs infection. This may be due the use general growth media, which do not mimic conditions at site Possible alternative include DNA-based techniques, in vivo- like media isothermal microcalorimetry (ITC). We developed a synthetic synovial fluid (SSF) medium...
ABSTRACT There is growing evidence that bacteria encountered in prosthetic joint infections (PJIs) form surface-attached biofilms on prostheses, as well biofilm aggregates embedded synovial fluid and tissues. However, vitro models allowing the investigation of these assessment their antimicrobial susceptibility physiologically relevant conditions are currently lacking. To address this, we developed a synthetic (SSF2) model validated this by investigating growth, aggregate formation, using...
Aim There is growing evidence that bacteria encountered in periprosthetic joint infections (PJI) form surface-attached biofilms on prostheses, as well biofilm aggregates embedded synovial fluid and tissues. However, models allowing the investigation of these assessment their antimicrobial susceptibility physiologically relevant conditions are currently lacking. To address this, we developed a synthetic (SSF) model validated this terms growth, aggregate formation testing, using multiple PJI...