mapeamento do perfil de resistência e detecção do gene meca em staphylococcus aureus e staphylococcus intermedius oxacilina-resistentes isolados de espécies humanas e animais resistance pattern and detection of meca gene in oxacillin-resistant isolates of staphylococcus aureus and staphylococcus intermedius from animal and human samples
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Abstract
Antimicrobial resistant Staphylococcus species represent an important cosmopolitan problem, and its spreading control is a significative challenge. Resistance pattern of Staphylococcus aureus and Staphylococcus intermedius species isolated from animals and humans clinical samples to different antibiotics was evaluated through disk diffusion method, where ampicillin and penicillin presented the highest level of resistance. The evaluation of the resistance to oxacillin, due to the heterogeneity of the response of the studied genus was carried out through the following tests: modified agar diffusion, agar screen and microdilution, and further correlation with the detection of mecA gene in samples that showed resistance in at least one of the susceptibility tests used. The correlation between the results obtained from phenotypic methods and the detection of resistance gene, considered as a reference method, was used in order to validate its sensitivity. Eighty clinical staphylococcal isolates (29 human and 51 animal isolates) were evaluated, 28 were oxacillin-resistant, mecA gene being detected in 12 samples. Susceptibility assessment tests to oxacillin presented above 50% of specificity, disk diffusion and agar screen being the most sensitive one, while modified disk diffusion presented the lowest sensibility rate. Ampicillin and penicillin presented the highest level of resistance.
| Reference Key |
coelho2007cinciamapeamento
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| Authors | ;Shana de Mattos de Oliveira Coelho;Renata Amélia Menezes Moraes;Lidiane de Castro Soares;Ingrid Annes Pereira;Ligia Portugal Gomes;Miliane Moreira Soares de Souza |
| Journal | Trials |
| Year | 2007 |
| DOI |
10.1590/S0103-84782007000100031
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| URL | |
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