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Journal of the European Academy of Dermatology and Venereology
Article . 2023 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Serveur académique lausannois
Article . 2023
License: CC BY NC
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Reliable and rapid identification of terbinafine resistance in dermatophytic nail and skin infections

Authors: Blanchard, Gabriela; Amarov, Boyko; Fratti, Marina; Salamin, Karine; Bontems, Olympia; Chang, Yun-Tsan; Sabou, Alina Marcela; +3 Authors

Reliable and rapid identification of terbinafine resistance in dermatophytic nail and skin infections

Abstract

AbstractBackgroundFungal infections are the most frequent dermatoses. The gold standard treatment for dermatophytosis is the squalene epoxidase (SQLE) inhibitor terbinafine. Pathogenic dermatophytes resistant to terbinafine are an emerging global threat. Here, we determine the proportion of resistant fungal skin infections, analyse the molecular mechanisms of terbinafine resistance, and validate a method for its reliable rapid identification.MethodsBetween 2013 and 2021, we screened 5634 consecutively isolated Trichophyton for antifungal resistance determined by hyphal growth on Sabouraud dextrose agar medium containing 0.2 μg/mL terbinafine. All Trichophyton isolates with preserved growth capacity in the presence of terbinafine underwent SQLE sequencing. Minimum inhibitory concentrations (MICs) were determined by the broth microdilution method.ResultsOver an 8‐year period, the proportion of fungal skin infections resistant to terbinafine increased from 0.63% in 2013 to 1.3% in 2021. Our routine phenotypic in vitro screening analysis identified 0.83% (n = 47/5634) of Trichophyton strains with in vitro terbinafine resistance. Molecular screening detected a mutation in the SQLE in all cases. Mutations L393F, L393S, F397L, F397I, F397V, Q408K, F415I, F415S, F415V, H440Y, or A398A399G400 deletion were detected in Trichophyton rubrum. Mutations L393F and F397L were the most frequent. In contrast, all mutations detected in T. mentagrophytes/T. interdigitale complex strains were F397L, except for one strain with L393S. All 47 strains featured significantly higher MICs than terbinafine‐sensitive controls. The mutation‐related range of MICs varied between 0.004 and 16.0 μg/mL, with MIC as low as 0.015 μg/mL conferring clinical resistance to standard terbinafine dosing.ConclusionsBased on our data, we propose MIC of 0.015 μg/mL as a minimum breakpoint for predicting clinically relevant terbinafine treatment failure to standard oral dosing for dermatophyte infections. We further propose growth on Sabouraud dextrose agar medium containing 0.2 μg/mL terbinafine and SQLE sequencing as fungal sporulation‐independent methods for rapid and reliable detection of terbinafine resistance.

Countries
Switzerland, Switzerland
Keywords

Antifungal Agents, Terbinafine / pharmacology, Trichophyton / genetics, Microbial Sensitivity Tests, Tinea / drug therapy, Squalene Monooxygenase / genetics, Agar / therapeutic use, Tinea, Trichophyton, Antifungal Agents / therapeutic use, Humans, Skin Diseases, Infectious, Terbinafine, Humans; Terbinafine/pharmacology; Terbinafine/therapeutic use; Antifungal Agents/pharmacology; Antifungal Agents/therapeutic use; Agar/therapeutic use; Tinea/drug therapy; Tinea/diagnosis; Arthrodermataceae/genetics; Trichophyton/genetics; Skin Diseases, Infectious/drug therapy; Microbial Sensitivity Tests; Squalene Monooxygenase/genetics; Glucose/therapeutic use, Arthrodermataceae / genetics, Arthrodermataceae, Glucose / therapeutic use, Tinea / diagnosis, Terbinafine / therapeutic use, Antifungal Agents / pharmacology, Agar, Glucose, Squalene Monooxygenase, Skin Diseases, Infectious / drug therapy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 1%
Top 10%
Top 1%
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