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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/11788
Title: 
Identification of Staphylococcus saprophyticus isolated from patients with urinary tract infection using a simple set of biochemical tests correlating with 16S-23S interspace region molecular weight patterns
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
0167-7012
Sponsorship: 
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Sponsorship Process Number: 
FAPESP: 09/10083-5
Abstract: 
The emergence of Staphylococcus spp. not only as human pathogens, but also as reservoirs of antibiotic resistance determinants, requires the development of methods for their rapid and reliable identification in medically important samples. The aim of this study was to compare three phenotypic methods for the identification of Staphylococcus spp. isolated from patients with urinary tract infection using the PCR of the 16S-23S interspace region generating molecular weight patterns (ITR-PCR) as reference. All 57 S. saprophyticus studied were correctly identified using only the novobiocin disk. A rate of agreement of 98.0% was obtained for the simplified battery of biochemical tests in relation to ITR-PCR, whereas the Vitek I system and novobiocin disk showed 81.2% and 89.1% agreement, respectively. No other novobiocin-resistant non-S. saprophyticus strain was identified. Thus, the novobiocin disk is a feasible alternative for the identification of S. saprophyticus in urine samples in laboratories with limited resources. ITR-PCR and the simplified battery of biochemical tests were more reliable than the commercial systems currently available. This study confirms that automated systems are still unable to correctly differentiate CoNS species and that simple, reliable and inexpensive methods can be used for routine identification. (c) 2012 Elsevier B.V. All rights reserved.
Issue Date: 
1-Dec-2012
Citation: 
Journal of Microbiological Methods. Amsterdam: Elsevier B.V., v. 91, n. 3, p. 406-411, 2012.
Time Duration: 
406-411
Publisher: 
Elsevier B.V.
Keywords: 
  • Staphylococcus saprophyticus
  • Urinary tract infection
  • Identification methods
  • ITR-PCR
  • Automated systems
Source: 
http://dx.doi.org/10.1016/j.mimet.2012.09.024
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/11788
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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