Abstract

Dandruff or pityriasis simplex is a condition of abnormal occurrence of formation of yellowish white scales from the scalp. Many factors play a role in the pathogenesis of dandruff, i.e.colonization of Malassezia species. Examination of Malassezia species previously done by culture as the gold standard. However, there are various difficulties in doing the culture. Identification method with anested-polymerase chain reaction (nested-PCR) is expected to provide quickly and easily detected. This study aimedto determine the diagnostic value of nested-PCR in the identification of Malassezia species in dandruff. From 21 subjects, scales from the scalp were taken and sent to the laboratory for nested-PCR identification. Statistical analysis of diagnostic test carried out to determine sensitivity, specificity, positive predictive value, and negative predictive value. The results showed nested-PCR detected 10 sample (47.6%) positive for Malassezia species consist of M. sympodialis (23.8%); M. slooffiae (9.5%); M. furfur (4.8%); M. globosa and M. furfur (4.8%); and M. restricta and M. sympodialis (4.8%). Detection of Malassezia species by nested-PCR has 100% in sensitivity whereas the specificity was 55%. Nested-PCR test has high sensitivity. Therefore nested-PCR may be considered for a faster and simpler alternative examination in identification for Malassezia species in dandruff.

Details

Title
Diagnostic value of nested-PCR for identification of Malassezia species in dandruff
Author
Jusuf, N K 1 ; Nasution, T A 2 ; Ullyana, S 1 

 Dermatology and Venerology Department, Faculty of Medicine, Universitas Sumatera Utara, Jl. Dr. Mansur No.5 Kampus USU, Medan 20155, Indonesia 
 Microbiology Department, Faculty of Medicine, Universitas Sumatera Utara, Jl. Dr. Mansur No.5 Kampus USU, Medan 20155, Indonesia 
Publication year
2018
Publication date
Mar 2018
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2558736358
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.