Detection of dermatophytes from dermatophytosis-suspected cases in Iran, evaluation of polymerase chain reaction-sequencing method

Abstract

Background: Dermatophytosis is mostly caused by dermatophytes species, and the diagnosis of disease is very important for early treatment. The aim of this study was to identify the commonly dermatophytes species isolated directly from the clinical samples, using the polymerase chain reaction (PCR) and evaluate both conventional and molecular methods. Materials and Methods: This study was performed on 115 clinical samples. Dermatophyte isolates were initially identified by conventional method and confirmed by the sequencing molecular method. In this study, the molecular technique is implemented directly on clinical samples. Statistical analysis of the information was performed by the SPSS software, and the results were statistically analyzed. Results: Our findings demonstrated that the most abundant dermatophyte species by PCR-sequencing were Trichophyton mentagrophytes (20%), followed by Trichophyton tonsurans (10%), Trichophyton rubrum (6.7%), T. interdigital (6.7%), Arthroderma otae, and Arthroderma vanbreuseghemii, (3.3%) for each one. Conclusion: For medical laboratories, routine procedures are still preferred because of their lower cost, and the results are almost the same as the molecular methods. The sensitivity and specificity values for PCR under our laboratory condition were 60% and 87%, respectively. This study shows that molecular results performed better in nails than other samples, by culture results.

Keywords

• dermatophytosis
• diagnosis
• polymerase chain reaction