Phenotypic and genotypic characterization of Candida species isolated from candideamia in Iran

Seyedeh Zahra Sadrossadati1, Mohammad Ghahri2, Abbas Ali Imani Fooladi3

  • 1Department of Biology, Ashkezar Branch, Islamic Azad University, Iran.

Current Medical Mycology
|October 17, 2018
PubMed
Abstract

Insights

Candidemia is a growing fungal infection. This study identified Candida albicans as the most common cause in Tehran, highlighting PCR-RFLP as a superior identification method.

Area of Science:

  • Medical Mycology
  • Infectious Diseases
  • Clinical Microbiology

Background:

  • Candidemia, a serious fungal infection caused by *Candida* species, shows increasing incidence and mortality globally.
  • Antifungal resistance and epidemiological shifts necessitate accurate and rapid species-level identification for effective treatment.
  • Limited comprehensive studies on candidemia in Iran underscore the need for local epidemiological data.

Purpose of the Study:

  • To investigate the epidemiology of candidemia in Tehran hospitals.
  • To compare the accuracy, sensitivity, and speed of phenotypic and molecular identification methods.
  • To establish baseline data for candidemia in the Iranian population.

Main Methods:

  • Analysis of 204 positive blood cultures from 125 patients over 13 months in Tehran.
  • Yeast identification using phenotypic methods: germ tube test, CHROMagar *Candida*, and Corn meal agar.
  • Molecular identification employing polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and PCR sequencing for confirmation.

Main Results:

  • *Candida albicans* was the predominant species (62.4%), followed by *C. parapsilosis* (17.5%) and *C. glabrata* (8.8%).
  • Molecular methods identified 96.6% of isolates, significantly higher than phenotypic methods (65.2%).
  • Infants under one year and cancer patients represented higher-risk groups for candidemia.

Conclusions:

  • The most frequent causative agents of candidemia in Tehran are *C. albicans*, *C. parapsilosis*, and *C. glabrata*.
  • Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is a highly accurate and efficient method for candidemia species identification.
  • Understanding local epidemiology and employing advanced diagnostic techniques are crucial for managing candidemia effectively.

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