Sensitivity of Dermatophytes to Terbinafine: World Experience and Recent Findings from Kazakhstan
Abstract
1. Introduction
2. Results
2.1. Study the Prevalence of Dermatophytes Sensitivity to Terbinafine in Global Practice
2.2. Clinical and Etiological Characteristics of Dermatomycoses
2.3. Demography and Clinical Details (Own Research)
2.4. Antifungal Susceptibility Testing
3. Discussion
4. Materials and Methods
4.1. An Ethics Statements
4.2. Search Strategy
4.3. Inclusion Criteria
4.4. Exclusion Criteria
4.5. Selection of Articles
4.6. Data Extraction and Evaluation of the Study
4.7. Patient Inclusion Criteria (Own Research)
4.8. Methods for Culture and Identification
4.9. Antifungal Susceptibility Testing
4.10. Statistical Analysis
5. Conclusions
- Genetic variability. Fungal populations can exhibit genetic diversity due to various factors such as mutations, genetic recombination, and migration. Different strains of dermatophytes may have different degrees of sensitivity to antifungal drugs such as terbinafine. Because of their nature, strains common in Kazakhstan may exhibit a higher sensitivity to terbinafine than strains common in other regions.
- Features of the antifungal drugs. Therefore, the frequency and duration of antifungal drug use may affect the development of drug resistance. If terbinafine is used widely or incorrectly in certain regions, it can exert selective pressure on dermatophyte populations, contributing to the emergence of resistant strains. Conversely, if the use of terbinafine is limited or reasonably controlled, it may contribute to the preservation of sensitivity among dermatophyte isolates.
- Environmental factors. Environmental conditions such as temperature, humidity, and geographic location can affect the prevalence and characteristics of fungal populations. Certain conditions can promote the growth and spread of certain strains of dermatophytes that are sensitive to terbinafine. Differences in environmental conditions between Kazakhstan and other countries may contribute to the differences in drug sensitivity profiles.
- Host factors. Host factors, including immune status, genetic predisposition, and the anatomical site of infection, can also influence the response of dermatophytic infections to antifungal treatment. The host factors prevailing in the studied population in Astana (Kazakhstan) may contribute to the higher sensitivity of dermatophytes to terbinafine compared with that of populations in other countries.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| First Author, Year | A Country | Sample Size | Number of Cases of Terbinafine Resistance | Prevalence of Resistance (%) | MIC of Terbinafine (µg/mL) | Method for Determining Sensitivity |
|---|---|---|---|---|---|---|
| Astvad, 2022 [21] | Denmark | 63 | 35 | 55.6 | T. rubrum ≤0.004–>4; T. indotineae 2–>4; T. mentagrophytes/T. interdigitale ≤0.004–0.016 | EUCAST reference method E.Def 11.0 |
| Moreno-Sabater, 2022 [15] | France | 580 | 3 | 0.23/1.1/16.7 | T. indotineae 0.008–2; T. interdigitale 0.008–8; T. mentagrophytes 0.03 | EUCAST microdilution broth method |
| Shankarnarayan, 2020 [22] | India | 146 | 15 | 10.3 | T. mentagrophytes 2–16 mg/L | Micro-broth dilution technique as per CLSI M38 A2 protocol |
| Yamada, 2017 [23] | Japan | 2056 | 17 | 1 | T. interdigitale—0.00625; A. vanbreuseghemii—0.00625–3.2; T. rubrum—0.00625–3.2 | Broth microdilution method of the CLSI |
| Nenoff, 2020 [24] | Germany | 29 | 13 | 45 | ≥0.2 μg/mL | Broth microdilution method of the CLSI |
| Zeeshan, 2023 [25] | Pakistan | 61 | 7 | 11.5 | T. violaceum—0.16 (0.24), T. mentagrophytes 0.19 (0.26), T. tonsurans 0.08 (0.09), T. soudanense 0.23 (0.32), T. rubrum 0.03 (0.13), T. verrucosum 0.32 (0.27), M. canis 0.05 (0.28), M. gypseum 0.14 (0.15) | Broth microdilution method of the CLSI |
| Taghipour, 2020 [4] | Iran | 141 | 5 | 3.5 | T. interdigitale—0.003–0.25, T. mentagrophytes—0.007–≥32 | Broth microdilution method of the CLSI |
| Siopi, 2021 [26] | Greece | 112 | 9 | 8.0 | T. rubrum 0.022 (≤0.008–0.03), T. mentagrophytes—0.127, (≤0.008–8), T. interdigitale—0.013 (≤0.008–0.03), T. tonsurans 0.016 (0.016–0.016) | EUCAST broth microdilution reference methodology (E.DEF 11.0) |
| Pashootan, 2022 [27] | Iran | 123 | 6 | 4.9 | T. indotineae—0.015–32, T. mentagrophytes—0.015–16, T. interdigitale—0.003–0.025, T. rubrum—0.003–0.006, T. tonsurans—0.003–0.125, E. floccosum—0.06–16, T. verrucosum—0.06–4, N. gypsea—0.015–16, N. fulva—0.125–0.25, M. canis—0.03–0.125 | Broth microdilution method of the CLSI |
| Jiang, 2021 [28] | China | 62 | 0 | 0 | 0.001–0.015 | Broth microdilution method of the CLSI |
| Bhatia, 2015 [29] | India | 53 | 11 | 20.8 | T. mentagrophyte—0.0625–4, T. rubrum—0.0313–1, M. gypseum—2.0 | Broth microdilution method of the CLSI |
| Khurana, 2018 [30] | India | 64 | 39 | 61 | 0.25–≥32 | Broth microdilution method of the CLSI |
| Mohammadifard, 2022 [31] | Iran | 24 | 8 | 15.1/14.2 | 0.003–≥32 | Broth microdilution method of the CLSI |
| Sacheli, 2020 [32] | Belgium | 337 | 6 | 20 | 0.016–4 | EUCAST E.Def 9.3.1 procedure |
| Rudramurthy, 2018 [33] | India | 133 | 20 | 15.0 | T. interdigitale—0.015–32, T. rubrum—0.015–16, T. tonsurans 0.015–2 | Broth microdilution method of the CLSI |
| Behnam, 2020 [34] | Iran | 75 | 0 | 0 | T. mentagrophytes—0.002–1, T. interdigital—0.002–1, T. tonsurans—0.002–0.5, E. floccosum—0.125–1, M. canis—0.002–0.125, N. fulvum—1, T. benhamiae—1, T. verrucosum—1, Dermatophyte isolates—0.002–1. | Broth microdilution method of the CLSI |
| Singh, 2019 [35] | India | 44 | 36 | 81.8 | 0.06–16 | Broth microdilution method of the CLSI |
| Shaw, 2020 [36] | India | 498 | 57 | 11.4 | 0.015–32 | Broth microdilution method of the CLSI |
| Afshari, 2016 [37] | Iran | 49 | 0 | 0 | 0.0313–16 | Disk diffusion assay; broth microdilution method of the CLSI |
| Tamura, 2014 [38] | Japan | 43 | 0 | 0 | T. rubrum—0.004–0.06, T. mentagrophytes—0.03–0.06, T. verrucosum—0.015, T. tonsurans—0.015–0.06, M. canis—0.008–0.03, M. gypseum—0.004–0.06, E. floccosum—0.015–0.03 | Broth microdilution method of the CLSI |
| Kong, 2021 [20] | India, China, Australia, Germany, The Netherlands | 135 | 34 | 25.2 | T. indotineae—0.016–>16, T. interdigitale—0.016–0.0625, T. mentagrophytes—0.016–0.0625 | EUCAST E.Def 9.3.1 protocol |
| Dermatophyte | Clinical Form of Dermatomycosis | A Country | First Author, Year | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Tinea Corporis, n (%) | Tinea Capitis, n (%) | Tinea Faciei, n (%) | Tinea Cruris, n (%) | Onychomy-Cosis, n (%) | Tinea Pedis, n (%) | Tinea Manis, n (%) | |||
| T. rubrum | 7 (1.6) | 0 (0.0) | 0 (0.0) | 24 (5.5) | 292 (67.0) | 112 (25.7) | 1 (0.2) | France | Moreno-Sabater, 2022 [15] |
| 0 (0.0) | 2 (3.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] | |
| 24 (34.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 46 (65.7) | 0 (0.0) | 0 (0.0) | Greece | Siopi, 2021 [26] | |
| 2 (3.2) | 1 (1.6) | 1 (1.6) | 1 (1.6) | 20 (32.3) | 36 (58.1) | 1 (1.6) | China | Jiang, 2021 [28] | |
| 1 (16.7) | 0 (0.0) | 0 (0.0) | 1 (16.7) | 0 (0.0) | 2 (33.3) | 2 (33.3) | Iran | Afshari, 2016 [37] | |
| 0 (0.0) | 0 (0.0) | 0 (0.0) | 5 (33.3) | 0 (0.0) | 7 (46.7) | 3 (20.0) | Iran | Pashootan, 2022 [27] | |
| T. interdigitale | 96 (70.6) | 0 (0.0) | 0 (0.0) | 35 (25.7) | 0 (0.0) | 3 (2.2) | 2 (1.5) | France | Moreno-Sabater, 2022 [15] |
| 5 (5.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 20 (20.8) | 71 (74.0) | 0 (0.0) | Iran | Taghipour, 2020 [4] | |
| 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 12 (100) | 0 (0.0) | 0 (0.0) | Greece | Siopi, 2021 [26] | |
| 2 (20) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 5 (50) | 3 (30) | Iran | Afshari, 2016 [37] | |
| 1 (3.6) | 2 (7.1) | 0 (0.0) | 11 (39.3) | 0 (0.0) | 9 (32.1) | 5 (17.9) | Iran | Pashootan, 2022 [27] | |
| T. mentagrophytes | 2 (25.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (12.5) | 5 (62.5) | 0 (0.0) | France | Moreno-Sabater, 2022 [15] |
| 20 (66.7) | 0 (0.0) | 2 (6.7) | 4 (13.3) | 2 (6.7) | 1 (3.3) | 1 (3.3) | Germany | Nenoff, 2020 [24] | |
| 0 (0.0) | 18 (29.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] | |
| 43 (95.6) | 1 (2.2) | 0 (0.0) | 0 (0.0) | 1 (2.2) | 0 (0.0) | 0 (0.0) | Iran | Taghipour, 2020 [4] | |
| 10 (41.7) | 0 (0.0) | 0 (0.0) | 14 (58.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Greece | Siopi, 2021 [26] | |
| 0 (0.0) | 5 (1.5) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] | |
| 481 (96.6) | 13 (2.6) | 0 (0.0) | 0 (0.0) | 4 (0.8) | 0 (0.0) | 0 (0.0) | India | Shaw, 2020 [36] | |
| 1 (16.7) | 0 (0.0) | 0 (0.0) | 2 (33.3) | 0 (0.0) | 2 (33.3) | 1 (16.7) | Iran | Pashootan, 2022 [27] | |
| T. violaceum | 0 (0.0) | 21 (34.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] |
| 0 (0.0) | 28 (8.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] | |
| T. tonsurans | 0 (0.0) | 9 (14.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] |
| 0 (0.0) | 57 (16.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] | |
| 2 (29) | 2 (29) | 1 (14) | 1 (14) | 0 (0.0) | 1 (14) | 0 (0.0) | Iran | Afshari, 2016 [37] | |
| 2 (12.5) | 8 (50.0) | 3 (18.75) | 3 (18.75) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Iran | Pashootan, 2022 [27] | |
| T. indotineae | 2 (20.0) | 0 (0.0) | 0 (0.0) | 5 (50.0) | 0 (0.0) | 3 (30.0) | 0 (0.0) | Iran | Pashootan, 2022 [27] |
| T. soudanense | 0 (0.0) | 3 (4.9) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] |
| T. verrucosum | 0 (0.0) | 3 (4.9) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] |
| 1 (16.7) | 0 (0.0) | 1 (16.7) | 0 (0.0) | 2 (33.3) | 1 (16.7) | 1 (16.7) | Iran | Afshari, 2016 [37] | |
| 0 (0.0) | 0 (0.0) | 5 (71.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (28.6) | Iran | Pashootan, 2022 [27] | |
| M. canis | 0 (0.0) | 3 (4.9) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] |
| 0 (0.0) | 36 (10.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] | |
| 6 (100) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Iran | Afshari, 2016 [37] | |
| 5 (35.7) | 4 (28.6) | 0 (0.0) | 1 (7.1) | 0 (0.0) | 0 (0.0) | 4 (28.6) | Iran | Pashootan, 2022 [27] | |
| M. gypseum | 0 (0.0) | 2 (3.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Pakistan | Zeeshan, 2023 [25] |
| 2 (40) | 0 (0.0) | 0 (0.0) | 1 (20) | 0 (0.0) | 2 (40) | 0 (0.0) | Iran | Afshari, 2016 [37] | |
| M. audouinii | 0 (0.0) | 120 (35.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] |
| T. soudanense | 0 (0.0) | 85 (25.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] |
| T. benhamiae | 0 (0.0) | 7 (2.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] |
| N. incurvata | 0 (0.0) | 1 (0.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | Belgium | Sacheli, 2020 [32] |
| E. floccosum | 2 (22.2) | 0 (0.0) | 0 (0.0) | 5 (55.6) | 0 (0.0) | 2 (22.2) | 0 (0.0) | Iran | Afshari, 2016 [37] |
| 1 (5.3) | 0 (0.0) | 0 (0.0) | 14 (73.7) | 0 (0.0) | 3 (15.7) | 1 (5.3) | Iran | Pashootan, 2022 [27] | |
| N. gypsea | 0 (0.0) | 2 (33.3) | 0 (0.0) | 0 (0.0) | 4 (66.7) | 0 (0.0) | 0 (0.0) | Iran | Pashootan, 2022 [27] |
| N. fulva | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (100.0) | 0 (0.0) | 0 (0.0) | Iran | Pashootan, 2022 [27] |
| Identification by Conventional Methods | Clinical Forms of Dermatophytosis | ||
|---|---|---|---|
| Type of Pathogen | Tinea Cruris n (%) | Tinea Corporis n (%) | Tinea Capitits n (%) |
| T. mentagrophytes (n = 16) | 6 (37.5) | 8 (50) | 2 (12.5) |
| T. verrucosum (n = 4) | 1 (25) | 2 (50) | 1 (25) |
| T. tonsurans (n = 9) | 5 (55.5) | 4 (44.4) | |
| T. indotineae (n = 1) | 1 (100) | ||
| T. interdigitale (3) | 1 (33.3) | 2 (66.6) | |
| M. canis (57) | 31 (54.38) | 26 (45.61) | |
| Identification | Antifungal Susceptibility MIC (µg/mL) | Patient Information | ||
|---|---|---|---|---|
| Classical Methods | Molecular Methods [39] | Terbinafine | Patient (n), Origin/Travel | Clinical Form |
| T. mentagrophytes | T. mentagrophytes | 0.125 | 1, Kazakhstan, Astana | Tinea corporis |
| T. tonsurans | T. tonsurans | 1.5 | 1, Kazakhstan, Astana | Tinea corporis |
| T. mentagrophytes | T. indotineae | 1.0 | 1, Kazakhstan, Astana | Tinea cruris |
| T. interdigitale | T. interdigitale | 0.5 | 1, Kazakhstan, Astana | Tinea corporis |
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Aimoldina, A.; Smagulova, A.; Kukhar, Y.; Batpenova, G.; Algazina, T.; Uakhit, R.; Kiyan, V. Sensitivity of Dermatophytes to Terbinafine: World Experience and Recent Findings from Kazakhstan. Antibiotics 2026, 15, 266. https://doi.org/10.3390/antibiotics15030266
Aimoldina A, Smagulova A, Kukhar Y, Batpenova G, Algazina T, Uakhit R, Kiyan V. Sensitivity of Dermatophytes to Terbinafine: World Experience and Recent Findings from Kazakhstan. Antibiotics. 2026; 15(3):266. https://doi.org/10.3390/antibiotics15030266
Chicago/Turabian StyleAimoldina, Alma, Ainura Smagulova, Yelena Kukhar, Gulnar Batpenova, Togzhan Algazina, Rabiga Uakhit, and Vladimir Kiyan. 2026. "Sensitivity of Dermatophytes to Terbinafine: World Experience and Recent Findings from Kazakhstan" Antibiotics 15, no. 3: 266. https://doi.org/10.3390/antibiotics15030266
APA StyleAimoldina, A., Smagulova, A., Kukhar, Y., Batpenova, G., Algazina, T., Uakhit, R., & Kiyan, V. (2026). Sensitivity of Dermatophytes to Terbinafine: World Experience and Recent Findings from Kazakhstan. Antibiotics, 15(3), 266. https://doi.org/10.3390/antibiotics15030266

