Oral Candida Overgrowth in most Thalassemia Major Patients, Yeast Identification by CDA, VITEK 2, and PCR, and Evaluating their Virulence Factors in Thi-Qar, Iraq

Candida, an opportunistic fungus in immunocompromised patients, can cause an infection like oral candidiasis which usually starts with Candida overgrowth. Thalassemia major (TM) patients are known to suffer from immune abnormalities that may lead to a condition of immune deficiency. So, we aimed to estimate the prevalence and intensity of Candida growth in oral cavity of TM patients, determine the accuracy of Candida identification, and assess some virulence factors. Our study was conducted on 150 TM patients and 80 controls between (1-40 years). Oral swabs were used for microscopic examination and culturing on SDA. The identification was done by candida differential agar (CDA), VITEK 2, and conventional PCR. Also, the virulence was estimated by measurement of proteinase, phospholipase, lipase, hemolysin, and biofilm. Candida species were orally isolated from 70% of TM patients with mean colony count (124±94) significantly more than 42.5% of control with (11±7), so a significant oral Candida overgrowth was observed in most (TM) patients compared with the control, referring to an increased probability of developing to oral candidiasis. Significantly, in total TM patients, male or female patients, the age group (11–20) showed a higher prevalence of Candida than other age groups, at 52.4%, 49%, and 55.56%, respectively. PCR identified 105 isolates from TM patients: C. albicans constituted the most common species with (61.9%), C. dubliniensis (35.2%) and C. glabrata (2.86%). Generally, in comparison with results of PCR, the accuracy of identification by CDA was (95.2%) more than (87.6%) by VITEK 2, but both were typical methods for identifying C. albicans with (100%). Significantly, the higher production of proteinase and lipase was by (92.3%) and (90.7%) of C. albicans isolates, respectively. While the majority of phospholipase and biofilm production was noted by (70.3%) of C. dubliniensis and (100%) of C. glabrata, respectively. All Candida species were hemolysin producers with 100%. Highlights: Samples: 150 TM patients, 80 controls; oral Candida prevalence 70%. Identification: PCR, CDA, VITEK 2; C. albicans most common (61.9%). Virulence: High proteinase, lipase (C. albicans); biofilm (C. glabrata). Keywords: accuracy of Candida identification, biofilm, extracellular enzymes, oral Candida overgrowth, thalassemia major patients

Authors

Institutions

Publication Details

Journal
Indonesian Journal on Health Science and Medicine
Published
2025-05-01
DOI
https://doi.org/10.21070/ijhsm.v2i1.146
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oral Candida Overgrowth in most Thalassemia Major Patients, Yeast Identification by CDA, VITEK 2, and PCR, and Evaluating their Virulence Factors in Thi-Qar, Iraq

Afaq Hameed, Salih Jabbar, Shereen Al-Ali, Furdos Nouri Jafar
Indonesian Journal on Health Science and Medicine
Tuberculosis Research and Epidemiology
article

Oral Candida Overgrowth in most Thalassemia Major Patients, Yeast Identification by CDA, VITEK 2, and PCR, and Evaluating their Virulence Factors in Thi-Qar, Iraq

Afaq Hameed, Salih Jabbar, Shereen Al-Ali, Furdos Nouri Jafar
article en

Abstract

Candida, an opportunistic fungus in immunocompromised patients, can cause an infection like oral candidiasis which usually starts with Candida overgrowth. Thalassemia major (TM) patients are known to suffer from immune abnormalities that may lead to a condition of immune deficiency. So, we aimed to estimate the prevalence and intensity of Candida growth in oral cavity of TM patients, determine the accuracy of Candida identification, and assess some virulence factors. Our study was conducted on 150 TM patients and 80 controls between (1-40 years). Oral swabs were used for microscopic examination and culturing on SDA. The identification was done by candida differential agar (CDA), VITEK 2, and conventional PCR. Also, the virulence was estimated by measurement of proteinase, phospholipase, lipase, hemolysin, and biofilm. Candida species were orally isolated from 70% of TM patients with mean colony count (124±94) significantly more than 42.5% of control with (11±7), so a significant oral Candida overgrowth was observed in most (TM) patients compared with the control, referring to an increased probability of developing to oral candidiasis. Significantly, in total TM patients, male or female patients, the age group (11–20) showed a higher prevalence of Candida than other age groups, at 52.4%, 49%, and 55.56%, respectively. PCR identified 105 isolates from TM patients: C. albicans constituted the most common species with (61.9%), C. dubliniensis (35.2%) and C. glabrata (2.86%). Generally, in comparison with results of PCR, the accuracy of identification by CDA was (95.2%) more than (87.6%) by VITEK 2, but both were typical methods for identifying C. albicans with (100%). Significantly, the higher production of proteinase and lipase was by (92.3%) and (90.7%) of C. albicans isolates, respectively. While the majority of phospholipase and biofilm production was noted by (70.3%) of C. dubliniensis and (100%) of C. glabrata, respectively. All Candida species were hemolysin producers with 100%. Highlights: Samples: 150 TM patients, 80 controls; oral Candida prevalence 70%. Identification: PCR, CDA, VITEK 2; C. albicans most common (61.9%). Virulence: High proteinase, lipase (C. albicans); biofilm (C. glabrata). Keywords: accuracy of Candida identification, biofilm, extracellular enzymes, oral Candida overgrowth, thalassemia major patients

Indonesian Journal on Health Science and MedicineVol. 2(1)
University of Basrah (IQ), Bio-Medical Science (South Korea) (KR)
Openalex Percentile: Top 66%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.