Exogenous bacterial osteomyelitis in 52 dogs: a retrospective study of etiology and in vitro antimicrobial susceptibility profile (2000-2013)

Background: Most clinical cases of osteomyelitis in dogs involve infectious agents, especially bacteria and fungi. The characterization of these microorganisms may aid in the prevention and treatment of disease.Objective: The aim of this study was to evaluate retrospectively microbiological cultures and in vitro antimicrobial susceptibility profile of isolates from 52 cases of bacterial osteomyelitis in long bones of dogs over 2000-2013. In 78% of the cases injuries were caused by a motor vehicle accident, but there were a few cases of dog bites (17%) and ascending infection due to pododermatitis (5%).Animals and methods: The isolated microorganisms were identified based on conventional phenotypic methods. In vitro disk diffusion test was performed using 30 different antimicrobials.Results: The isolates were obtained from femur (28%), humerus (16%), tibia (31%), and radius/ulna (25%). Among 52 cases, culture was positive in 88% of cases. Thirteen genus of different species of microorganisms were isolated. The most common microorganisms isolated were Staphylococcus spp. and Escherichia coli followed by Streptococcus spp., enteric bacteria, Corynebacterium sp. and anaerobic bacteria. In 42% of cases cultures were mixed. The most effective drugs against isolated bacteria were amoxicillin and clavulanate potassium (79%) followed by ceftriaxone (69%). High-resistance rates were documented against azithromycin (80%), penicillin (59%), and clindamycin (59%).Conclusions: The present study highlights diverse etiologic agents in cases of infectious bacterial osteomyelitis, with predominance of Staphylococcus genus, and reinforces the importance of obtaining cultures and susceptibility profiles given the high rates of antimicrobial resistance.

Systematic Screening of Plant Extracts from the Brazilian Pantanal with Antimicrobial Activity against Bacteria with Cariogenic Relevance

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Estudo de dinâmicas populacionais aplicado a processos de tratamento biológico de efluentes

The purpose of this work is to perform studies of mathematical modeling of the relationship of interaction occurring between microrganisms participants from wastewater treatment processes aimed at understanding, through simulations, such as inter-relationships can affect the performance of such units. The methodology was the implementation in FORTRAN computer language of mathematical models of microbial interactions. The first model addresses the interaction of bacteria-forming flakes and filamentous bacteria in activated sludge systems, which seeks to strike a balance between these bacteria to improve efficiency of the process. Another model is studied the interaction between bacteria and protozoa in activated sludge systems and analyzing the efficiency of the process, observing the changes in daily load. Microbial interactions in anaerobic reactors were dealt a third model, in which there is the mutualistic interaction between acidogenic and methanogenic bacteria. In a fourth and final model was examined the relationship between the bacteria Acinetobacter sp. and Gordonia sp., which are present in activated sludge systems, showing the competitive capacity of Acinetobacter sp. can control the growth of unwanted bacteria.