[Sensitivity of microbial associations of periodontal lesions to antibacterial agents].

UNLABELLED: The aim of the study was the development of approaches to improve the effectiveness of antibiotic therapy in dental practice on the basis of determining the sensitivity of pathogenic microorganisms to antibiotics of different groups. MATERIAL AND METHODS: The study included determination of the sensitivity of the microbial complexes from wound exudate of periodontal pocket and apical abscess to macrolides, quinolones, penicillins, lincosamides and 5-nitroimidazole. A survey of dentists and dental clinics patients to identify the cause and frequency of use of antibiotics and to identify possible adverse reactions was also conducted. RESULTS: Dentists prefer macrolide antibiotics, protected penicillins, and fluoroquinolone combined with 5-nitroimidazole. All patients have taken antibiotics themselves at least once a year. Microbial complexes in patients with acute and exacerbated apical periodontitis in 79% of cases are susceptible to amoxicillin/clavulanic acid, to azithromycin - 52%, lincomycin - 36%, 5-nitroimidazole - 68%, ciprofloxacin - 73.7%. In patients with apical abscess high rates of resistance of microbial complexes to all types of antibiotics was revealed (33% for lincomycin 76,1% for ciprofloxacin, 28,6% for 5-nitroimidazole). Patients with moderate to severe periodontitis in 90.5% are sensitive to amoxicillin/clavulanic acid and azithromycin, in 62.4% to lincomycin. Sensitivity to ciprofloxacin was detected in 85.7% of patients, in 14.3% - moderate resistance.

DRUGSURV: a resource for repositioning of approved and experimental drugs in oncology based on patient survival information.

The use of existing drugs for new therapeutic applications, commonly referred to as drug repositioning, is a way for fast and cost-efficient drug discovery. Drug repositioning in oncology is commonly initiated by in vitro experimental evidence that a drug exhibits anticancer cytotoxicity. Any independent verification that the observed effects in vitro may be valid in a clinical setting, and that the drug could potentially affect patient survival in vivo is of paramount importance. Despite considerable recent efforts in computational drug repositioning, none of the studies have considered patient survival information in modelling the potential of existing/new drugs in the management of cancer. Therefore, we have developed DRUGSURV; this is the first computational tool to estimate the potential effects of a drug using patient survival information derived from clinical cancer expression data sets. DRUGSURV provides statistical evidence that a drug can affect survival outcome in particular clinical conditions to justify further investigation of the drug anticancer potential and to guide clinical trial design. DRUGSURV covers both approved drugs (∼1700) as well as experimental drugs (∼5000) and is freely available at http://www.bioprofiling.de/drugsurv.