Numerical analysis of Candida species from uriner system infections based on SDS-PAGE and detection of antifungal resistance

Duran N., ÖZTÜRK KÜP F., AÇIK L., Aslantaş Ö., Aslan G.

European Journal of General Medicine, vol.4, no.3, pp.100-106, 2007 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 4 Issue: 3
  • Publication Date: 2007
  • Doi Number: 10.29333/ejgm/82501
  • Journal Name: European Journal of General Medicine
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CINAHL
  • Page Numbers: pp.100-106
  • Erciyes University Affiliated: No


Aim: The aim of the present study was to evaluate the protein patterns and numerical analysis of Candida species isolates from urinARY system infections by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE), and to detect antifungal susceptibility. Methods: In this study, 96 Candida spp. belonging to 46 strains of C.albicans, 18 strains of C. glabrata, 14 strains of C. tropicalis, 8 strains of C. krusei, 6 strains of C. parapsilosis, 3 strains of C. dubliensis and 1 strain of C. kefyr from urine samples or urinary system infections were examined by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE). The susceptibility of Candida strains against antifungal agents were assessed by minimal inhibitory concentrations (MIC). Results: Nineteen distinct band patterns in the range of 63-120 kDa were obtained. Different isolates of each species were clearly different in each of the seven species. But, some variation in the protein patterns was detected within the same species. Conclusion: The whole-cell protein profiles performed by SDS-PAGE associated with computer-assisted numerical analysis may provide preliminary criteria for taxonomic and epidemiological studies of such microorganisms.