@article { author = {Hassani Abharian, Parastoo and Dehghan, Parvin and Hassani Abharian, Peyman and Tolouei, Sepideh}, title = {Molecular characterization of Candida dubliniensis and Candida albicans in the oral cavity of drug abusers using duplex polymerase chain reaction}, journal = {Current Medical Mycology}, volume = {4}, number = {1}, pages = {12-17}, year = {2018}, publisher = {Mazandaran University of Medical Sciences}, issn = {2423-3439}, eissn = {2423-3420}, doi = {10.18502/cmm.4.1.29}, abstract = {Background and Purpose: Candida dubliniensis is closely related to the most pathogenic and prevalent yeast, namely C. albicans. Candida species can opportunistically overgrow in vulnerable individuals and cause a variety of diseases. The current study aimed to identify and isolate C. dubliniensis species present in the Candida albicans species complex identified in the oral cavity of drug abusers. Materials and Methods: This study was conducted on 53 strains of C. albicans species complex, isolated from the oral mucosa of drug abusers in Isfahan, Iran. DNA extraction was accomplished through boiling procedure. Duplex polymerase chain reaction (PCR) was performed to amplify ITS1-5.8S-ITS2 region using four specific primers. Fungal species were identified based on the difference in the size of the bands created in the Agarose gel. Results: Out of the 53 isolates under study, 30 (56.6%) and 14 (26.4%) samples were identified as C. albicans and C. dubliniensis, respectively. In the remaining 9 samples (17%), both types of Candida species were confirmed. Conclusion: The findings of the present study revealed the presence of a noticeable amount of C. dubliniensis in the oral cavity of drug abusers. Therefore, the probable presence of this fungus should be considered during the examination of oral infection among this group. To date, no research has directly investigated this issue in Iran.}, keywords = {candida albicans,Candida dubliniensis,Drug,PCR,smoking}, url = {https://cmm.mazums.ac.ir/article_90373.html}, eprint = {https://cmm.mazums.ac.ir/article_90373_b2f4d6724b444f89b01229b5e2380330.pdf} }