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European Journal of General Medicine
Medical Investigations Society
ISSN: 1304-3897
Vol. 4, No. 3, 2007, pp. 100-106
Bioline Code: gm07025
Full paper language: English
Document type: Research Article
Document available free of charge

European Journal of General Medicine, Vol. 4, No. 3, 2007, pp. 100-106

 en NUMERICAL ANALYSIS OF Candida check for this species in other resources SPECIES FROM URINER SYSTEM INFECTIONS BASED ON SDS-PAGE AND DETECTION OF ANTIFUNGAL RESISTANCE
Duran, Nizami; Öztürk, Fatma; Açık, Leyla; Aslantaş, Özkan & Aslan, Gönül

Abstract

Aim: The aim of the present study was to evaluate the protein patterns and numerical analysis of Candida check for this species in other resources 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 check for this species in other resources , 18 strains of C. glabrata check for this species in other resources , 14 strains of C. tropicalis check for this species in other resources , 8 strains of C. krusei check for this species in other resources , 6 strains of C. parapsilosis check for this species in other resources , 3 strains of C. dubliensis check for this species in other resources and 1 strain of C. kefyr check for this species in other resources 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.

Keywords
Numerical Analysis, SDS-PAGE, Candida spp., uriner system infection, antifungal resistance.

 
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