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Record W4414341292 · doi:10.1111/myc.70117

Utility of <scp>MALDI</scp>‐<scp>ToF MS</scp> for Recognition and Antifungal Susceptibility of <i>Nannizzia</i>, an Underestimated Group of Dermatophytes

2025· article· en· W4414341292 on OpenAlexaff
Chao Tang, Xue Kong, J J Jansen, Katharina Vossgroene, Thinh Vu, Boris Oberheitmann, Marlou Tehupeiory-Kooreman, Shaoqin Zhou, Xin Zhou, Clement K. M. Tsui, Weida Liu, Yingqian Kang, Sarah Ahmed, Sybren de Hoog

Bibliographic record

VenueMycoses · 2025
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsUniversity of British Columbia
FundersHigher Education Discipline Innovation ProjectNational Natural Science Foundation of China
KeywordsAntifungalAntifungal drugsGroup (periodic table)MycosisDermatophyteFluconazole

Abstract

fetched live from OpenAlex

BACKGROUND: Geophilic Nannizzia dermatophytes are increasingly implicated in stubborn skin, hair, and nail infections, yet MALDI-TOF MS evaluations and antifungal-susceptibility data have focused almost exclusively on N. gypsea. Biochemical profiles and MICs cut-offs are limited. OBJECTIVES: To benchmark two commercial MALDI-TOF MS libraries and to determine in vitro activity of eight antifungals against a genus-wide panel of Nannizzia species. METHODS: One-hundred-and-three ITS-confirmed isolates representing 12 species were grown on potato-dextrose agar (PDA) for 7-14 days. Spectra were acquired with (i) the MSI-2 Dermatophyte Library after 4-14 days' PDA incubation (100 cultures) and (ii) the Bruker MALDI Biotyper Filamentous-Fungi Library 6.0/2023 after ≤ 3 days' growth in Sabouraud-dextrose broth (SDB) (73 cultures). BCCM/IHEM strains could not be evaluated on the Biotyper because of licence restrictions, leaving 73 non-duplicate isolates for direct MSI-2 vs MBT comparison. EUCAST E.Def 11.0 micro-broth dilution determined MICs for eight agents. RESULTS: MSI-2 achieved its highest accuracy with PDA day-7 cultures (45/73, 62%), whereas the liquid Biotyper protocol yielded 49/73 correct identifications (67%) within four days. Accepting low-confidence scores (≥ 1.7) from either library increased overall accuracy to 73%. MSI-2 remained superior for N. gypsea (73%) and uniquely detected N. nana (50%), which is absent from the current Biotyper release. Conversely, the Biotyper outperformed MSI-2 for N. incurvata, N. fulva, and N. praecox. Six very rare species (N. lorica, N. aenigmatica, N. corniculata, N. duboisii, N. perplicata, N. polymorpha) were not recognised by either database. Terbinafine displayed the lowest geometric mean MIC (0.009 mg/L); fluconazole and griseofulvin showed the highest values, and one US N. fulva isolate exhibited elevated itraconazole/voriconazole MICs (1 mg/L). CONCLUSIONS: Diagnostic coverage of Nannizzia remains incomplete. Expanding commercial MALDI-ToF MS libraries with spectra from rare species and performing routine susceptibility testing are essential to optimise patient management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.303
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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