First Report of Cystobasidium slooffiae in Human Wounds from China: Molecular Identification and Clinical Insights
Bibliographic record
Abstract
Background: Cystobasidium spp. are rare yeasts recently recognized as emerging human pathogens. This study presents the first report from China of Cystobasidium slooffiae isolated from human wound infections, and characterizes its microbiological profile, phylogenetic identity, and antifungal susceptibility. Methods: Two strains were isolated from skin wounds of immunocompromised patients. They were characterized based on colony morphology on Sabouraud dextrose agar, Gram staining, MALDI-TOF MS analysis, Erg11 amino acid sequences analysis, and phylogenetic analysis using combined sequences of 18S rDNA, D1/D2 domains, and ITS regions. Antifungal susceptibility testing was performed according to CLSI guidelines (M27-A3/M60). Results: The colonies transitioned from light yellow to orange within 48– 96 h with Gram-positive budding cells. MALDI-TOF MS failed to identify accurately any of these strains. However, phylogenetic analysis of ITS confirmed that both strains were C. slooffiae . Both strains exhibited high minimum inhibitory concentrations (MICs) for all three echinocandins (> 8 μg/mL) and fluconazole (32– 64 μg/mL), whereas the MICs for isavuconazole were in the range 0.75– 1 μg/mL. Erg11 sequence analysis revealed they formed a distinct clade that was genetically distant from Rhodotorulaceae. Conclusion: Our findings showed that C. slooffiae could be an important emerging, opportunistic human invasive fungal pathogen because of its reduced susceptibility to echinocandins and fluconazole. Keywords: Cystobasidium slooffiae , skin wounds, superficial infections, Rhodotorula
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".