Laboratory Isolation and Identification of Candida Species

Madhavan, Priya; Jamal, Farida; Chong, Pei Pei

doi:10.3923/jas.2011.2870.2877

Cited by 26 publications

(20 citation statements)

References 26 publications

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“…1,2 Identification of yeast by conventional method is labour intensive and time consuming. 3 To overcome this, chromogenic media (CHROMagar) and commercial automated identification systems like VITEK 2 are available.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Vitek 2 System and Chromagar for Identification of Yeasts in Clinical Laboratory

Patel¹,

Modi²,

Singh³

2016

jemds

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BACKGROUNDSuccessfully identifying the species of Candida is important in the treatment and management of disease as resistance acquired by some species of Candida may avoid prescription of antifungal drugs that may not be available to species. AIMWe evaluated the performance of VITEK 2 system and CHROMagar in identification of Candida species against the conventional culture method. SETTINGS AND DESIGNThe study was conducted in a tertiary care hospital of Gujarat. METHODS AND MATERIALThe study was conducted over a period of 14 months. Candida species isolated from various clinical specimen were identified by conventional method as well as by VITEK 2 system and CHROMagar. The sensitivity and specificity of VITEK 2 system and CHROMagar was determined keeping conventional method as a gold standard method. RESULTSA total of 48 Candida species were identified by conventional method. Candida tropicalis (n=26) and Candida albicans (n=10) were most common isolates. VITEK 2 system was able to identify 36 (75%) isolates whereas CHROMagar was able to identify 45 (93.75%) isolates of Candida to species level. The sensitivity and specificity of CHROMagar for most common Candida species i.e. Candida albicans was 100% and 97.3% respectively whereas for Candida tropicalis was 100% and 95% respectively. The sensitivity and specificity of VITEK 2 system for Candida albicans was 100% whereas for Candida tropicalis was 76.92% and 100% respectively. CONCLUSIONSWe concluded that CHROMagar could be routinely used for identification of commonly isolated Candida species whereas VITEK 2 system could be used for determining MICs of antifungal agents.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Vitek 2 System and Chromagar for Identification of Yeasts in Clinical Laboratory

Patel¹,

Modi²,

Singh³

2016

jemds

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“…The obtained isolates were identified through examination of micro-and macro-morphologic features in accordance with standard morphological criteria (Gonzalez et al, 2008;Ribes et al, 2000.;Madhavan et al, 2011;de Hoog et al, 2011 andGomes et al, 2011). In addition to the traditional method of identification, molecular techniques were used by comparing the ITS1-5.8S-ITS2 rDNA region sequence data of the isolated strains with reference strains data deposited in GenBank.…”

Section: Sampling Culturing and Strain Identificationmentioning

confidence: 99%

Detection of Aflatoxin in AspergillusSpecies Isolated from Immunocompromised Hospitalized Patients

2015

Egypt. J. Microbiol.

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SPERGILLUS infections have grown in importance in the last few decades. However, most of the studies have focused on Aspergillus fumigatus, the most prevalent species in the human infections which is followed by Aspergillus flavus . Eventhough Aspergillus flavus was more common than A. fumigatus in some reports. Aspergillus niger came next to them causing invasive aspergillosis . Aspergillus flavus is a widely feared fungal pathogen capable of producing aflatoxin, the most potent mycotoxin . Two hundred and fifty hospitalized patients were studied for fungal infection. Out of the collected cases 109 were positive fungal infection representing 43.6% of the total cases. The age of the patients ranged from 22 to 68 years, of which 61% were male and 39% were female. Three species of the genus Aspergillus were collected from 18 cases representing 16.5% of the total positive. These isolates identified as Aspergillus flavus (11 cases ) followed by A .niger (5 cases ) and A. fumigatus ( 2 cases ) representing 10.1%, 4.6% and 1.8% , respectively. Identification was carried out using the traditional method and confirmed by the molecular techniques (amplification of the internal transcribed spacer 2 (ITS2) region and direct sequencing followed by comparative GenBank analysis ). All the isolates were tested for aflatoxin production using High Performance Liquid Chromatography (HPLC). Aflatoxins B1 and B2 were produced from A. flavus only while A. niger and A. fumigatus were non-producers. Voriconazole (200 mg/12h for 12 weeks) and Micafungin (100-150 mg/day for 12 weeks) were successfully used for treating all the cases.

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“…The ability to accurately identify yeasts, to a great extent, can determine the correct treatment and minimize treatment failure or recurrent infections [2,4,5]. Conventionally, laboratories begin the yeast identification process with the Germ tube test and often perform subcultures on Corn meal agar or rice starch agar for distinctive chlamydospore production & other morphological features.…”

Section: Introductionmentioning

confidence: 99%

“…ability of yeasts to assimilate certain carbon and nitrogen compounds (Assimilation reactions) and to ferment sugars (fermentation tests). Manual assimilation/fermentation tests are labour intensive and difficult to adapt in day-to day-practice [4][5][6]. Hence, commercially available identification kits are preferred and widely used.…”

Section: Introductionmentioning

confidence: 99%

Identifying Candida and Other Yeast- Like Fungi: Utility of an Identification Algorithm in Resource Limited Setting

Nerurkar¹

2014

JCDR

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Aim: The increasing recovery rates of unusual yeasts with innate drug resistance make accurate identification crucial for successful therapy and infection control measures. The current study was undertaken to study the utility of CHROMagar Candida (CC) and evaluate an identification algorithm, using germ tube test (GT), CC and a commercial identification kit, API ID 32C. Settings and Design:The prospective study was carried out at a private laboratory in Mumbai, India. Materials and Methods:Identification of 533 yeast and yeast like isolates was carried out using an identification algorithm, comprising of the GT, CC and API tests.

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Laboratory Isolation and Identification of Candida Species

Cited by 26 publications

References 26 publications

Evaluation of Vitek 2 System and Chromagar for Identification of Yeasts in Clinical Laboratory

Evaluation of Vitek 2 System and Chromagar for Identification of Yeasts in Clinical Laboratory

Detection of Aflatoxin in AspergillusSpecies Isolated from Immunocompromised Hospitalized Patients

Identifying Candida and Other Yeast- Like Fungi: Utility of an Identification Algorithm in Resource Limited Setting

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