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Comparison of in vitro activities of 11 antifungal agents against Trichophyton verrucosum isolates associated with a variety hosts and geographical origin.

Dominik ŁagowskiSebastian GnatAneta NowakiewiczMarcelina Osińska
Published in: Mycoses (2019)
The high prevalence of dermatophytosis in animals is usually associated with extra expenditure on prevention, diagnosis and long-term treatment. Humans are usually infected from animals, also from asymptomatic carriers, through direct contact or indirectly via fungus-bearing hair, scales and fomites. Despite the medical importance of Trichophyton verrucosum infections, there are limited in vitro data on the fungal susceptibility to antifungal drugs, including new-generation triazoles, imidazoles and allyloamines. The aim of the current study was to evaluate comprehensively the in vitro activity of 11 antifungal drugs against a large collection of T. verrucosum isolates obtained in Poland, Latvia, Lithuania and Slovakia from humans and animals using a microdilution assay. In vitro susceptibility testing of 11 antifungal drugs was performed according to the Clinical and Laboratory Standards Institute (CLSI) document M38. The MICs of clotrimazole, ciclopirox, enilconazole, miconazole, naftifine and terbinafine against all T. verrucosum isolates were below 1 μg/mL, whereas those of fluconazole, griseofulvin, itraconazole, ketoconazole and voriconazole were above 1 μg/mL. Ciclopirox was demonstrated to have superior activity against all strains in comparison with the other drugs, whereas fluconazole exerted the weakest in vitro effect and exhibited the highest MIC values. Our study has shown that drugs of different chemical origin have satisfactory antifungal activity and can be promising candidates for the treatment of T. verrucosum dermatophytosis. Moreover, no significant disparity in drug sensitivity between isolates obtained from different hosts and geographical regions have been demonstrated.
Keyphrases
  • candida albicans
  • genetic diversity
  • healthcare
  • escherichia coli
  • drug induced
  • emergency department
  • combination therapy
  • big data
  • deep learning
  • replacement therapy
  • clinical evaluation
  • smoking cessation
  • cell wall