419 resultados para Bactéria diazotrófica


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Staphylococcus are not usually studied in the oral cavity, when this happens, they are considered to belong to transitory microflora. Individuals that present periodontal disease represent possibles reservoirs of these opportunist bacteria in the oral cavity. The use of antibiotics whether for treatment of periodontal disease or due to hospital infections, may predispose the increase of the Staphylococcus spp. in the oral cavity because they easily become resistant to antibiotics, resulting in superinfection. The study was made with 88 patients, minimum age- 25 years old, presenting chronical periodontitis, with, at least, two sites having a probing pocket bigger or equal to 5mm. After anamnese and clinical periodontal examination samples were taken from the periodontal pocket using paper cones and from the oral cavity using mouth rinse. Of the total patients 37,50% presented Staphylococcus spp. in the periodontal pocket and 61,36% in lhe oral cavity; 27,27% presented bacteria in the two sites, not necessarily of the same specie. S. epidermidis was the most prevailing specie in periodontal pocket (15,9%) and oral cavity (27,27%). Positive for S. aureus in the periodontal pocket were 4,5% and for the oral cavity 25%, and 3,4% were positive for the two sites. There was not found significative statistical difference referring to the presence of the microorganisms as to age, smoking habit and increase of the probing depth. The majority of the isolated Staphylococcus samples showed resistance to the tested antibiotics, indicating that the drugs as an adjunct to periodontal therapy, must be seen with caution

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

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Biological processes are complex and possess emergent properties that can not be explained or predict by reductionism methods. To overcome the limitations of reductionism, researchers have been used a group of methods known as systems biology, a new interdisciplinary eld of study aiming to understand the non-linear interactions among components embedded in biological processes. These interactions can be represented by a mathematical object called graph or network, where the elements are represented by nodes and the interactions by edges that link pair of nodes. The networks can be classi- ed according to their topologies: if node degrees follow a Poisson distribution in a given network, i.e. most nodes have approximately the same number of links, this is a random network; if node degrees follow a power-law distribution in a given network, i.e. small number of high-degree nodes and high number of low-degree nodes, this is a scale-free network. Moreover, networks can be classi ed as hierarchical or non-hierarchical. In this study, we analised Escherichia coli and Saccharomyces cerevisiae integrated molecular networks, which have protein-protein interaction, metabolic and transcriptional regulation interactions. By using computational methods, such as MathematicaR , and data collected from public databases, we calculated four topological parameters: the degree distribution P(k), the clustering coe cient C(k), the closeness centrality CC(k) and the betweenness centrality CB(k). P(k) is a function that calculates the total number of nodes with k degree connection and is used to classify the network as random or scale-free. C(k) shows if a network is hierarchical, i.e. if the clusterization coe cient depends on node degree. CC(k) is an indicator of how much a node it is in the lesse way among others some nodes of the network and the CB(k) is a pointer of how a particular node is among several ...(Complete abstract click electronic access below)