Genotyping of Candida albicans Isolates Obtained from Vulvovaginal Candidiasis Patients from Zanjan, Iran, Based on ABC and RPS Typing Systems

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and Purpose

Genotyping of pathogenic microorganisms is important for epidemiological studies and the adoption of appropriate strategies to control infectious diseases. In this regard, the present study aimed to genotype Candida albicans strains isolated from vulvovaginal candidiasis (VVC) patients using combined ABC type (25SrDNA) and repetitive sequence (RPS) typing systems. using combined typing systems of ABC type (25SrDNA) and repetitive sequence (RPS).

Materials and Methods

In total, 140 patients with VVC were investigated. Vaginal discharges were collected on Sabouraud dextrose agar and identified by CHROMagar. After species identification, a polymerase chain reaction system targeting 25S rDNA as well as ALT repeats in the RPS was designed to determine C. albicans genotypes. The dendrogram was constructed by zero-one matrix data based on the combination of ABC and RPS typing systems. Statistical analysis of data was performed in SPSS software (version 23).

Results

In total, 41 (29.3%) Candida isolates were obtained from 140 VVC patients. The most common Candida species that were identified included C. glabrata (56.1%) and C. albicans (39%). Genotype A3 with five isolates (31.25%) had the highest frequency, followed by B2/3 with three isolates (18.3%), A3/4, C3/4, and B3/4 with two isolates (12.5%), and C2/3 and C3 with one isolate (6.25%), respectively. No significant association was found between the genotypes and antifungal resistance (P<0.05).

Conclusion

The results showed that non-albicans Candida species are more prevalent in VVC patients, compared to C. albicans. The results also indicated that ABC and RPS typings are useful for rapid genotyping and differentiation of C. albicans isolates in regional and small-scale studies.

Language:
English
Published:
Current Medical Mycology, Volume:8 Issue: 4, Dec 2022
Pages:
9 to 14
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