期刊论文详细信息
Brazilian Journal of Biology
Evaluation of biochemical and serological methods to identify and clustering yeast cells of oral Candida species by CHROMagar test, SDS-PAGE and ELISA
J. A. De O. Rodrigues2  J. F. Höfling2  F. C. A. Tavares1  K. M. R. Duarte1  R. B. Gonçalves2  R. A. Azevedo1 
[1] ,Unicamp Faculdade de Odontologia de Piracicaba Departamento de Diagnóstico Oral SP ,Brazil
关键词: Candida species;    protein electrophoresis;    numerical analysis;    chromogenic medium (CHROMagar Candida);    immunoenzimatic assay (ELISA);    espécies de Candida;    eletroforese de proteínas;    análise numérica;    meio cromogênico (CHROMagar Candida);    ensaio imunoenzimático (ELISA);   
DOI  :  10.1590/S1519-69842004000200018
来源: SciELO
PDF
【 摘 要 】

The purpose of this work was to evaluate biochemical and serological methods to characterize and identify Candida species from the oral cavity. The strains used were five Candida species previously identified: C. albicans, C. guilliermondii, C. parapsilosis, C. krusei, C. tropicalis, and Kluyveromyces marxianus, as a negative control. The analyses were conducted through the SDS-PAGE associated with statistical analysis using software, chromogenic medium, and CHROMagar Candida (CA), as a differential medium for the isolation and presumptive identification of clinically important yeasts and an enzyme-linked immunoabsorbent assay (ELISA), using antisera produced against antigens from two C. albicans strains. This method enabled the screening of the three Candida species: C. albicans, C. tropicalis, and C. Krusei, with 100% of specificity. The ELISA using purified immunoglobulin G showed a high level of cross-reaction against protein extracts of Candida species. The SDS-PAGE method allowed the clustering of species-specific isolates using the Simple Matching coefficient, S SM = 1.0. The protein profile analysis by SDS-PAGE increases what is known about the taxonomic relationships among oral yeasts. This methodology showed good reproducibility and allows collection of useful information for numerical analysis on information relevant to clinical application, and epidemiological and systematical studies.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

【 预 览 】
附件列表
Files Size Format View
RO202005130171327ZK.pdf 353KB PDF download
  文献评价指标  
  下载次数:3次 浏览次数:6次