Mariusz Dyląg, Ewa Leniak, Sebastian Gnat, Jacek C Szepietowski, Lukasz Kozubowski
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引用次数: 6
Abstract
Background: The impact of Malassezia yeasts on skin mycobiome and health has received considerable attention recently. Pityriasis versicolor (PV), a common dermatosis caused by Malassezia genus worldwide, is a manifestation of dysbiosis. PV can be associated with hyper- and/or hypopigmented skin lesions. This disease entity is characterized by high percentage of relapses, which demands a proper antifungal therapy that is based on unambiguous species identification and drug susceptibility testing.
Case presentation: Comprehensive analysis of PV case in man presenting simultaneously hyper- and hypopigmented skin lesions was performed. Conventional and molecular diagnostic procedures revealed Malassezia furfur and Malassezia sympodialis, respectively as etiological agents of skin lesions observed. Susceptibility tests showed significantly lowered sensitivity of M. furfur cells to fluconazole. Based on susceptibility profiles local antifungal therapy with drugs characterized by entirely different mechanism of action was included.
Conclusions: Our study indicates that cases of PV represented by two types of skin lesions in one patient may be associated with distinct Malassezia species. Moreover, as observed in this case, each of the isolated etiological agents of PV may differ significantly in susceptibility to antifungals. This can significantly complicate the treatment of dermatosis, which by definition is associated with a significant percentage of relapses. In the presented case localized topical treatment was sufficient and successful while allowing maintaining the physiological mycobiome.
期刊介绍:
BMC Dermatology is an open access journal publishing original peer-reviewed research articles in all aspects of the prevention, diagnosis and management of skin disorders, as well as related molecular genetics, pathophysiology, and epidemiology. BMC Dermatology (ISSN 1471-5945) is indexed/tracked/covered by PubMed, MEDLINE, CAS, EMBASE, Scopus and Google Scholar.