Potential clinical application of MALDI-ToF MS using the Bruker Biotyper for the identification of Sporothrix brasiliensis and Sporothrix schenckii
Mariana Cruzetta de Carvalho1, Germana Davila dos Santos2, Marisol Dominguez Muro3,7, Bram Spruijtenburg4,5,6, Carolina Melchior do Prado5,6,7, Norma B. Fernandez9, Izabella Castilhos Ribeiro dos Santos Weiss10, Eelco F.J. Meijer4,5,6, Flávio de Queiroz-Telles11, Vânia Aparecida Vicente2,7,8#, Regielly Caroline Raimundo Cognialli3,7#
1Postgraduate Residency Program in Oncology and Hematology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil; 2Postgraduate Program in Engineering Bioprocess and Biotechnology, Federal University of Paraná, Curitiba, Brazil;3Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil; 4Department of Medical Microbiology, Radboudumc, Nijmegen, The Netherlands; 5Radboudumc-CWZ Center of Expertise for Mycology, Nijmegen, The Netherlands; 6Department of Medical Microbiology and Immunology, Canisius-Wilhelmina Hospital (CWZ) / Dicoon, Nijmegen, The Netherlands; 7Postgraduate Program in Microbiology, Parasitology and Pathology, Federal University of Paraná, Curitiba, Brazil; 8Department of Basic Pathology, Federal University of Paraná, Curitiba, Brazil; 9Hospital de Clínicas José de San Martin, UBA, Ciudad Autónoma de Buenos Aires, Argentina; 10Department of Clinical Analysis, Federal University of Paraná, Curitiba, Brazil; 11Department of Public Health, Federal University of Paraná, Curitiba, Brazil
Abstract
Sporotrichosis, a neglected mycosis caused by thermodimorphic Sporothrix species, is of growing concern due to the virulent S. brasiliensis, responsible for a large Brazilian outbreak with regional and international spread. Molecular tools remain the identification gold standard, Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-ToF MS) offers a rapid proteomic alternative. Therefore, in this study we developed and validated an in-house MALDI-TOF MS database for S. brasiliensis and S. schenckii using the Bruker Biotyper MBT Smart system. Spectra from mycelial and yeast phases of 14 clinical strains (11 S. brasiliensis, 3 S. schenckii) were used for database construction; 40 additional strains were tested for validation. Mycelial-phase spectra showed interspecies overlap, whereas yeast-phase profiles exhibited discriminatory peaks (6,000–8,000 Da). ROC analysis indicated day 5 as the earliest reliable timepoint (58 % identifications, score ≥2.15) and optimal performance at day 12 (85 % identifications, score ≥1.91). MALDI-ToF MS is a promising complementary tool for Sporothrix identification in endemic areas. Broader multicenter datasets incorporating diverse species and geographic variants are needed to enhance diagnostic accuracy.
#Correspondence:
regielly.cognialli@gmail.com
vaniava63@gmail.com
Article info:
Received 27 September 2025
Revised 20 October 2025
Accepted 25 October 2025
Appeared online 30 October 2025
One Health Mycology 2(2): 142-151, 2025
doi.org/10.63049/OHM.25.22.5
Cite this article:
de Carvalho MC, dos Santos GD , Dominguez Muro M, Spruijtenburg B, Melchior do Prado C, Fernandez NB, Ribeiro dos Santos Weiss IC, Meijer EFJ, de Queiroz-Telles F, Vicente VA, Cognialli RCR 2025. Potential clinical application of MALDI-ToF MS using the Bruker Biotyper for the identification of Sporothrix brasiliensis and Sporothrix schenckii. One Health Mycology 2(2), 142-151
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/ licenses/by-nc-nd/4.0/)
Keywords:
sporotrichosis, mass spectrometry, diagnostics, identification
Article highlights:
- An in-house MALDI-ToF MS database was established using both mycelial and yeast-phase spectra of Sporothrix brasiliensis and S. schenckii.
- Validation with 40 strains showed temporal differences across days of culture, and application of the optimized protocol enabled correct species-level identification in 85% of Sporothrix strains.
- MALDI-ToF MS constitutes a promising complementary diagnostic approach for identification of Sporothrix species in endemic regions.
