ABSTRACT
We determined the susceptibility of 182 Fusarium species isolates to five antifungal drugs (amphotericin B, voriconazole, posaconazole, isavuconazole, and terbinafine) by the EUCAST method. Based on the latest taxonomic insights, isolates collected from 20 European centers were distributed into seven complexes and 27 species. The susceptibility was variable, depending on the species. Comparison with the gradient concentration strip method, which was used for 77 isolates, showed essential agreement values for voriconazole, posaconazole, isavuconazole, and amphotericin B of 17%, 91%, 83%, and 70%, respectively.
KEYWORDS: Fusarium, antifungal susceptibility, comparison, EUCAST, gradient concentration strips, amphotericin B, voriconazole, posaconazole, isavuconazole, terbinafine, Etest
INTRODUCTION
The environmental fungi Fusarium spp. are responsible for opportunistic infections in humans, animals, and plants (1–4). Fusarium spp. are known to be rather unsusceptible to antifungals, but differences in susceptibility profiles for different drugs have been reported, depending on the species (5). Currently, Fusarium spp. include over 300 species, grouped into 23 phylogenetic species complexes (SCs) (6). Given the highly complex classification and rapidly evolving taxonomy, there is a need to update susceptibility determinations according to SCs and species as knowledge evolves and new species are described.
We determined the antifungal susceptibility of 182 Fusarium sp. isolates distributed into seven SCs and 27 different phylogenetic species. Isolates were collected from 20 European centers between 1 January 2018 and 31 December 2018 and sent to our institution for identification and antifungal susceptibility testing. Identification was based on a DNA phylogenetic tree-based approach (7). The MICs of amphotericin B, voriconazole, posaconazole, isavuconazole, and terbinafine were determined by using the EUCAST standardized methodology for all isolates and by using gradient concentration strip (GCS) methods (except for terbinafine) for 77 isolates belonging to the most frequent species, i.e., those represented by at least 8 isolates. For EUCAST methodology, drugs concentrations ranged from 0.03 to 16 mg/liter for all tested drugs except posaconazole, which ranged from 0.016 to 8 mg/liter. The MIC values were obtained by visual assessment of the turbidity after 48 h of growth at 37°C and were determined as the lowest concentration with complete inhibition of growth. Candida parapsilosis strain ATCC 22019 was used for internal quality control in each EUCAST microplate (even for terbinafine, although there is no defined target value). The GCS method was performed using MIC test strips (Liofilchem, Italy) for isavuconazole and Etest strips (bioMérieux, France) for amphotericin B, voriconazole, and posaconazole. Essential agreement (EA) between methods was considered to be achieved when the MIC values were within the range of 2 dilutions. Correlation between methods was assessed using the Pearson’s correlation test.
The comprehensive set of results, showing all MIC values determined by the EUCAST and GCS methods for the different antifungal agents and for all analyzed isolates, is presented in Table S1 in the supplemental material. The main results are presented in Table 1. The majority of isolates were distributed within three SCs, namely, the Fusarium oxysporum SC (FOSC), the Fusarium fujikuroi SC (FFSC), and the Fusarium solani SC (FSSC), reflecting the epidemiology of human fusariosis (7, 8). As expected, Fusarium spp. were characterized by low in vitro susceptibility to antifungal drugs. However, significant variations in MIC values between the different SCs were observed. Furthermore, within a given SC, some heterogeneity in MIC values was observed, which seemed to be not related to the species identification (see Table S1).
TABLE 1.
Method, SC, and drug | MIC range (mg/liter) | MIC geometric mean (mg/liter) | No. of isolates with MIC ofa: |
EA (%) vs EUCAST methodb | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.125 mg/liter | 0.25 mg/liter | 0.5 mg/liter | 1 mg/liter | 2 mg/liter | 4 mg/liter | 8 mg/liter | 16 mg/literc | >16 mg/liter | ||||
EUCAST methodd | ||||||||||||
Total (182 isolates) | ||||||||||||
TBF | 1 to >16 | 13.8 | 0 | 0 | 0 | 3 | 17 | 38 | 12 | 0 | 112 | |
VCZ | 2 to >16 | 14.3 | 0 | 0 | 0 | 0 | 6 | 22 | 43 | 35 | 76 | |
PSZ | 0.5 to >8 | 13.1 | 0 | 0 | 3 | 5 | 6 | 0 | 0 | 168 | ||
ICZ | 2 to >16 | 24.6 | 0 | 0 | 0 | 0 | 2 | 3 | 12 | 28 | 137 | |
AMB | 0.25 to >16 | 2.3 | 0 | 1 | 5 | 62 | 61 | 16 | 19 | 15 | 3 | |
FFSC (54 isolates) | ||||||||||||
TBF | 1 to >16 | 3.9 | 0 | 0 | 0 | 2 | 13 | 31 | 4 | 0 | 4 | |
VCZ | 2 to >16 | 11.6 | 0 | 0 | 0 | 0 | 2 | 6 | 16 | 21 | 9 | |
PSZ | 0.5 to >8 | 11.0 | 0 | 0 | 3 | 2 | 2 | 0 | 0 | 47 | ||
ICZ | 2 to >16 | 24.1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | 4 | 43 | |
AMB | 0.5 to 16 | 2.6 | 0 | 0 | 2 | 17 | 16 | 4 | 7 | 8 | 0 | |
FOSC (65 isolates) | ||||||||||||
TBF | 1 to >16 | 20.9 | 0 | 0 | 0 | 1 | 1 | 5 | 8 | 0 | 50 | |
VCZ | 2 to >16 | 11.0 | 0 | 0 | 0 | 0 | 2 | 14 | 22 | 6 | 21 | |
PSZ | 1 to >8 | 13.9 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 61 | ||
ICZ | 2 to >16 | 20.9 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 22 | 35 | |
AMB | 0.5 to >16 | 2.2 | 0 | 0 | 1 | 21 | 27 | 5 | 6 | 3 | 2 | |
FSSC (53 isolates) | ||||||||||||
TBF | >16 | 32.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | |
VCZ | 8 to >16 | 28.4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 45 | |
PSZ | >8 | 16.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | ||
ICZ | >16 | 32.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | |
AMB | 0.25 to >16 | 1.9 | 0 | 1 | 2 | 21 | 15 | 6 | 5 | 2 | 1 | |
GCS methode | ||||||||||||
Total (77 isolates) | ||||||||||||
VCZ | 0.25 to >16 | 2.2 | 0 | 2 | 11 | 15 | 19 | 18 | 4 | 2 | 6 | 17 |
PSZ | 0.125 to >8 | 10.8 | 1 | 0 | 7 | 0 | 0 | 1 | 0 | 68 | 91 | |
ICZ | 0.125 to >16 | 17.2 | 1 | 0 | 0 | 6 | 7 | 1 | 0 | 0 | 62 | 83 |
AMB | 0.25 to >16 | 1.5 | 0 | 3 | 12 | 24 | 22 | 8 | 6 | 1 | 1 | 70 |
FFSC (18 isolates) | ||||||||||||
VCZ | 0.25 to 16 | 1.3 | 0 | 1 | 5 | 4 | 4 | 3 | 0 | 1 | 0 | 22 |
PSZ | 0.125 to >8 | 3.8 | 1 | 0 | 6 | 0 | 0 | 0 | 0 | 11 | 72 | |
ICZ | 1 to >16 | 9.0 | 0 | 0 | 0 | 5 | 2 | 0 | 0 | 0 | 11 | 72 |
AMB | 0.5 to 16 | 2.1 | 0 | 0 | 1 | 5 | 8 | 1 | 2 | 1 | 0 | 67 |
FOSC (20 isolates) | ||||||||||||
VCZ | 0.25 to 8 | 0.9 | 0 | 1 | 6 | 9 | 3 | 0 | 1 | 0 | 0 | 5 |
PSZ | 0.5 to >8 | 12.6 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 18 | 90 | |
ICZ | 0.125 to >16 | 9.2 | 1 | 0 | 0 | 1 | 5 | 1 | 0 | 0 | 12 | 60 |
AMB | 0.5 to >16 | 2.1 | 0 | 0 | 3 | 5 | 5 | 3 | 3 | 0 | 1 | 70 |
FSSC (39 isolates) | ||||||||||||
VCZ | 1 to >16 | 4.5 | 0 | 0 | 0 | 2 | 12 | 15 | 3 | 1 | 6 | 21 |
PSZ | >8 to >8 | 16.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 100 | |
ICZ | >16 to >16 | 32.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 100 |
AMB | 0.25 to 8 | 1.1 | 0 | 3 | 8 | 14 | 9 | 4 | 1 | 0 | 0 | 72 |
MIC values for the GCS method were obtained with a 48-h readout. TBF, terbinafine; AMB, amphotericin B; ICZ, isavuconazole; PSZ, posaconazole; VCZ, voriconazole.
EA between methods was considered to be achieved when the MIC values were within ±2 dilutions.
For posaconazole, concentrations ranged from 0.016 to 8 mg/liter; therefore, this column should be interpreted as ≥8 mg/liter.
Total, FFSC, FOSC, FSSC, Fusarium culmorum SC, Fusarium dimerum SC, Fusarium incarnatum SC, and Fusarium redolens SC; FFSC, Fusarium verticillioides, Fusarium proliferatum, Fusarium sacchari, Fusarium acutatum, Fusarium andiyazi, and Fusarium lactis; FOSC, Fusarium veterinarium, Fusarium nirenbergiae, Fusarium curvatum, Fusarium elaeidis, Fusarium gossypinum, Fusarium languescens, and Fusarium triseptatum; FSSC, Fusarium falciforme, Fusarium keratoplasticum, Fusarium petroliphilum, FSSC new species 1, FSSC new species 2, Fusarium lichenichola, Fusarium robiniae, F. solani FSSC5, and F. solani FSSC9. FOSC, Fusarium oxysporum species complex; FFSC, Fusarium fujikuroi species complex; FSSC, Fusarium solani species complex.
Total, FFSC, FOSC, and FSSC; FFSC, F. verticillioides and F. proliferatum; FOSC, F. veterinarium and F. nirenbergiae; FSSC, F. falciforme, F. keratoplasticum, F. petroliphilum, FSSC new species 1, and F. solani FSSC5.
As previously reported, low susceptibility of the FSSC appears to be the rule, regardless of the antifungal drug considered, including the most recently marketed azole isavuconazole (9). Interestingly, isolates of the FFSC were distinguished by greater susceptibility to terbinafine, compared to isolates from other complexes. Overall, amphotericin B was the drug with the lowest geometric mean MIC value (2.3 mg/liter).
EUCAST (readout at 48 h) and GCS (readout at 24, 48, or 72 h) methods showed rather good correlation overall, with the exception of voriconazole. At the 48-h readout, the EA values for voriconazole, posaconazole, isavuconazole, and amphotericin B were 17%, 91%, 83%, and 70%, respectively. However, some variations according to the drug and the incubation period for the GCS method were noticed. For posaconazole and isavuconazole, good correlation was achieved within the first 24 h of growth (rho = 0.58 [P < 0.0001] and rho = 0.64 [P < 0.0001], respectively); for amphotericin B, the best correlation was obtained after 72 h of growth (rho = 0.6 [P < 0.0001]). Lastly, for voriconazole, the correlation coefficients were lower, although statistically significant, whatever the growth period (rho = 0.3 [P < 0.008] after 48 h and rho = 0.5 [P < 0.0001] after 72 h).
Our study includes a very large number of molecularly identified isolates of Fusarium spp. collected in 20 European centers. To the best of our knowledge, these results represent the largest series of Fusarium sp. isolates for which a reference method for antifungal susceptibility testing has been used. This work presents a number of pitfalls and limitations. In particular, the interpretation is challenged by the fact that important data, such as categorical endpoints or clinical breakpoints, are still lacking for Fusarium spp. Espinel-Ingroff et al. proposed epidemiological cutoff values (ECVs) based on CLSI methods for two SCs plus the species Fusarium verticilloides (10), but there is still a long way to go. In addition, some species were represented by a small number of isolates, making it impossible to produce reliable aggregate data. Finally, whether clinical breakpoints will be available some day is uncertain, as a clear and definite relationship between MICs obtained in vitro and therapeutic efficacy during the course of fusariosis is doubtful (11, 12). Similarly, a recent study found no correlation between MIC values and mortality rates at day 90 (4) (although this point does not take into consideration the given treatment), while another report indicated that a patient with fusariosis due to an isolate with a high itraconazole MIC showed clinical improvement after treatment with this antifungal agent (13). In any case, beyond the potential clinical impact, the importance of conducting epidemiological surveys of Fusarium sp. susceptibility to antifungal agents has two additional justifications. The first is the rapid evolution of taxonomy and the fact that data generated at one time may become inaccurate soon thereafter. The second is the environmental nature of Fusarium spp., because of which they are prone to have their resistance profiles evolve according to their exposure to antifungal agents used in agriculture (especially demethylase inhibitors), as is the case with Aspergillus fumigatus.
In a previous work, EUCAST and GCS methods showed an EA above 85% but the study included only 20 Fusarium sp. isolates and as many different species (14). For us, the results of the EUCAST and GCS methods were correlated. However, similar to what we reported concerning Aspergillus section Nigri (15), we found consistently lower MIC values with the GCS method, compared with the EUCAST method, particularly for azole drugs. Consequently, the EA values were variable, being particularly low for voriconazole (<25%) and more suitable (70% to 91%) for the other azole drugs. As our work provides new data on the susceptibility of Fusarium spp. to antifungal agents, we hope that it can contribute in the future to the establishment of accurate ECVs for a wider range of species.
Footnotes
Supplemental material is available online only.
REFERENCES
- 1.Gleason FH, Allerstorfer M, Lilje O. 2020. Newly emerging diseases of marine turtles, especially sea turtle egg fusariosis (SEFT), caused by species in the Fusarium solani complex (FSSC). Mycology 11:184–194. doi: 10.1080/21501203.2019.1710303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Triest D, Hendrickx M. 2016. Postharvest disease of banana caused by Fusarium musae: a public health concern? PLoS Pathog 12:e1005940. doi: 10.1371/journal.ppat.1005940. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Poignon C, Blaize M, Vezinet C, Lampros A, Monsel A, Fekkar A. 2020. Invasive pulmonary fusariosis in an immunocompetent critically ill patient with severe COVID-19. Clin Microbiol Infect 26:1582–1584. doi: 10.1016/j.cmi.2020.06.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Nucci M, Jenks J, Thompson GR, Hoenigl M, dos Santos MC, Forghieri F, Rico JC, Bonuomo V, López-Soria L, Lass-Flörl C, Candoni A, Garcia-Vidal C, Cattaneo C, Buil J, Rabagliati R, Roiz MP, Gudiol C, Fracchiolla N, Campos-Herrero MI, Delia M, Farina F, Fortun J, Nadali G, Sastre E, Colombo AL, Pérez Nadales E, Alastruey-Izquierdo A, Pagano L. 2021. Do high MICs predict the outcome in invasive fusariosis? J Antimicrob Chemother 76:1063–1069. doi: 10.1093/jac/dkaa516. [DOI] [PubMed] [Google Scholar]
- 5.Al-Hatmi AMS, Bonifaz A, Ranque S, Sybren de Hoog G, Verweij PE, Meis JF. 2018. Current antifungal treatment of fusariosis. Int J Antimicrob Agents 51:326–332. doi: 10.1016/j.ijantimicag.2017.06.017. [DOI] [PubMed] [Google Scholar]
- 6.Geiser DM, Al-Hatmi AMS, Aoki T, Arie T, Balmas V, Barnes I, Bergstrom GC, Bhattacharyya MK, Blomquist CL, Bowden RL, Brankovics B, Brown DW, Burgess LW, Bushley K, Busman M, Cano-Lira JF, Carrillo JD, Chang HX, Chen CY, Chen W, Chilvers M, Chulze S, Coleman JJ, Cuomo CA, de Beer ZW, de Hoog GS, Del Castillo-Múnera J, Del Ponte EM, Diéguez-Uribeondo J, Di Pietro A, Edel-Hermann V, Elmer WH, Epstein L, Eskalen A, Esposto MC, Everts KL, Fernández-Pavía SP, da Silva GF, Foroud NA, Fourie G, Frandsen RJN, Freeman S, Freitag M, Frenkel O, Fuller KK, Gagkaeva T, Gardiner DM, Glenn AE, Gold SE, Gordon TR, Gregory NF, Gryzenhout M, Guarro J, Gugino BK, Gutierrez S, Hammond-Kosack KE, Harris LJ, Homa M, Hong CF, Hornok L, Huang JW, Ilkit M, Jacobs A, Jacobs K, Jiang C, Jiménez-Gasco MDM, Kang S, Kasson MT, Kazan K, Kennell JC, Kim HS, Kistler HC, Kuldau GA, Kulik T, Kurzai O, Laraba I, Laurence MH, Lee T, Lee YW, Lee YH, Leslie JF, Liew ECY, Lofton LW, Logrieco AF, López-Berges MS, Luque AG, Lysøe E, Ma LJ, Marra RE, Martin FN, May SR, McCormick SP, McGee C, Meis JF, Migheli Q, Nor NMIM, Monod M, Moretti A, Mostert D, Mulè G, Munaut F, Munkvold GP, Nicholson P, Nucci M, O'Donnell K, Pasquali M, Pfenning LH, Prigitano A, Proctor RH, Ranque S, Rehner SA, Rep M, Rodríguez-Alvarado G, Rose LJ, Roth MG, Ruiz-Roldán C, Saleh AA, Salleh B, Sang H, Scandiani MM, Scauflaire J, Schmale DG, III, Short DPG, Šišić A, Smith JA, Smyth CW, Son H, Spahr E, Stajich JE, Steenkamp E, Steinberg C, Subramaniam R, Suga H, Summerell BA, Susca A, Swett CL, Toomajian C, Torres-Cruz TJ, Tortorano AM, Urban M, Vaillancourt LJ, Vallad GE, van der Lee TAJ, Vanderpool D, van Diepeningen AD, Vaughan MM, Venter E, Vermeulen M, Verweij PE, Viljoen A, Waalwijk C, Wallace EC, Walther G, Wang J, Ward TJ, Wickes BL, Wiederhold NP, Wingfield MJ, Wood AKM, Xu JR, Yang XB, Yli-Mattila T, Yun SH, Zakaria L, Zhang H, Zhang N, Zhang SX, Zhang X. 2021. Phylogenomic analysis of a 55.1 kb 19-gene dataset resolves a monophyletic Fusarium that includes the Fusarium solani species complex. Phytopathology PHYTO08200330LE. doi: 10.1094/PHYTO-08-20-0330-LE. [DOI] [PubMed] [Google Scholar]
- 7.Normand A-C, Imbert S, Brun S, Al-Hatmi AMS, Chryssanthou E, Cassaing S, Schuttler C, Hasseine L, Mahinc C, Costa D, Bonnal C, Ranque S, Sautour M, Rubio E, Delhaes L, Riat A, Sendid B, Kristensen L, Brandenberger M, Guitard J, Packeu A, Piarroux R, Fekkar A. 2021. Clinical origin and species distribution of Fusarium spp. isolates identified by molecular sequencing and mass spectrometry: a European multicenter hospital prospective study. J Fungi (Basel) 7:246. doi: 10.3390/jof7040246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Pérez-Nadales E, Alastruey-Izquierdo A, Linares-Sicilia MJ, Soto-Debrán JC, Abdala E, García-Rodríguez J, Montejo M, Muñoz P, Lletí MS, Rezusta A, de Pipaón MRP, Yáñez L, Merino E, Campos-Herrero MI, Costa-Mateo JM, Fortún J, García-Lozano T, Garcia-Vidal C, Fernández-Ruiz M, Sánchez-Reus F, Castro-Méndez C, Guerrero-Lozano I, Soler-Palacín P, Aguado JM, Martínez-Martínez L, Torre-Cisneros J, Nucci M. 2021. Invasive fusariosis in nonneutropenic patients, Spain, 2000–2015. Emerg Infect Dis 27:26–35. doi: 10.3201/eid2701.190782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Herkert PF, Al-Hatmi AMS, de Oliveira Salvador GL, Muro MD, Pinheiro RL, Nucci M, Queiroz-Telles F, de Hoog GS, Meis JF. 2019. Molecular characterization and antifungal susceptibility of clinical Fusarium species from Brazil. Front Microbiol 10:737. doi: 10.3389/fmicb.2019.00737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Espinel-Ingroff A, Colombo AL, Cordoba S, Dufresne PJ, Fuller J, Ghannoum M, Gonzalez GM, Guarro J, Kidd SE, Meis JF, Melhem TMSC, Pelaez T, Pfaller MA, Szeszs MW, Takahaschi JP, Tortorano AM, Wiederhold NP, Turnidge J. 2016. International evaluation of MIC distributions and epidemiological cutoff value (ECV) definitions for Fusarium species identified by molecular methods for the CLSI broth microdilution method. Antimicrob Agents Chemother 60:1079–1084. doi: 10.1128/AAC.02456-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Navarro-Rodríguez P, Guevara-Suarez M, Paredes K, Celis A, Guarro J, Capilla J. 2018. Lack of correlation of ECV and outcome in an in vivo murine model of systemic fusariosis. Diagn Microbiol Infect Dis 92:124–126. doi: 10.1016/j.diagmicrobio.2018.05.019. [DOI] [PubMed] [Google Scholar]
- 12.Al-Hatmi AMS, Curfs-Breuker I, de Hoog GS, Meis JF, Verweij PE. 2017. Antifungal susceptibility testing of Fusarium: a practical approach. J Fungi (Basel) 3:19. doi: 10.3390/jof3020019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Al-Hatmi AMS, Bonifaz A, Tirado-Sánchez A, Meis JF, de Hoog GS, Ahmed SA. 2017. Fusarium species causing eumycetoma: report of two cases and comprehensive review of the literature. Mycoses 60:204–212. doi: 10.1111/myc.12590. [DOI] [PubMed] [Google Scholar]
- 14.Al-Hatmi AMS, Normand A-C, Ranque S, Piarroux R, de Hoog GS, Meletiadis J, Meis JF. 2017. Comparative evaluation of Etest, EUCAST, and CLSI methods for amphotericin B, voriconazole, and posaconazole against clinically relevant Fusarium species. Antimicrob Agents Chemother 61:e01671-16. doi: 10.1128/AAC.01671-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Carrara B, Richards R, Imbert S, Morio F, Sasso M, Zahr N, Normand AC, Pape PL, Lachaud L, Ranque S, Maubon D, Piarroux R, Fekkar A. 2020. Species distribution and comparison between EUCAST and gradient concentration strips methods for antifungal susceptibility testing of 112 Aspergillus section Nigri isolates. Antimicrob Agents Chemother 64:e02510-19. doi: 10.1128/AAC.02510-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
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