The British journal of dermatology · 2015
Detection of common dermatophytes in clinical specimens using a simple quantitative real-time TaqMan polymerase chain reaction assay.
Оценочное исследованиеСтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ohst T, Kupsch C, Gräser Y
Аннотация
BACKGROUND: Dermatophytes are common fungal pathogens causing mostly superficial infections in humans with a high prevalence worldwide. Traditional detection techniques are time-consuming and insensitive, whereas molecular detection methods have proved to be much more rapid and sensitive.
OBJECTIVES: To develop a modular singleplex quantitative real-time polymerase chain reaction (qRT-PCR) assay for the detection of the most common dermatophytes in clinical specimens.
METHODS: The qRT-PCR assay is based on single-tube reactions with TaqMan probes. We validated the test with 311 clinical samples of human and animal origin submitted for routine diagnosis and compared the qRT-PCR results with microscopy and culture.
RESULTS: qRT-PCR proved to be significantly more sensitive than microscopy and culture, with 21·2% more positive samples. Among the 201 dermatophytes identified 152 were Trichophyton rubrum (75·6%) and 34 were Trichophyton interdigitale (16·9%). Only 15 samples were determined as less common dermatophytes (Microsporum canis, Epidermophyton floccosum, Trichophyton verrucosum and Arthroderma benhamiae). In the present study, pathogen identification was achieved for 95·2% of all samples (including negatives) by applying only three detection tests (pan-dermatophyte, T. rubrum and T. interdigitale).
CONCLUSIONS: The qRT-PCR assay developed in this study allows the specific and sensitive detection of relevant dermatophytes at low cost in a short time.
OBJECTIVES: To develop a modular singleplex quantitative real-time polymerase chain reaction (qRT-PCR) assay for the detection of the most common dermatophytes in clinical specimens.
METHODS: The qRT-PCR assay is based on single-tube reactions with TaqMan probes. We validated the test with 311 clinical samples of human and animal origin submitted for routine diagnosis and compared the qRT-PCR results with microscopy and culture.
RESULTS: qRT-PCR proved to be significantly more sensitive than microscopy and culture, with 21·2% more positive samples. Among the 201 dermatophytes identified 152 were Trichophyton rubrum (75·6%) and 34 were Trichophyton interdigitale (16·9%). Only 15 samples were determined as less common dermatophytes (Microsporum canis, Epidermophyton floccosum, Trichophyton verrucosum and Arthroderma benhamiae). In the present study, pathogen identification was achieved for 95·2% of all samples (including negatives) by applying only three detection tests (pan-dermatophyte, T. rubrum and T. interdigitale).
CONCLUSIONS: The qRT-PCR assay developed in this study allows the specific and sensitive detection of relevant dermatophytes at low cost in a short time.