In vitro antifungal susceptibility profiles and genotypes of 308 clinical and environmental isolates of Cryptococcus neoformans var. grubii and Cryptococcus gattii serotype B from north-western India
Bibliographic record
Abstract
Cryptococcus neoformans and Cryptococcus gattii are aetiological agents of cryptococcosis, a major opportunistic systemic mycosis of increasing global importance. This study reports the antifungal susceptibility profiles of clinical and environmental isolates of C. neoformans var. grubii, genotype VNI/AFLP1 (n = 246), and C. gattii serotype B, genotype VGI/AFLP4 (n = 62), originating from patients and environmental sources in north-western India. All of the C. neoformans var. grubii and C. gattii isolates were mating type α. Using the broth microdilution method, both species were found to be susceptible to the antifungals tested except for two clinical C. neoformans var. grubii isolates that were resistant to 5-flucytosine (MIC >64 µg ml⁻¹). Data on the geometric mean of MICs revealed that C. gattii was significantly less susceptible than C. neoformans var. grubii to fluconazole, itraconazole and voriconazole (P<0.0001). In addition, the MIC₉₀ of C. gattii was twofold higher than that of C. neoformans var. grubii for fluconazole, itraconazole and voriconazole. However, no statistically significant difference in susceptibility of the two Cryptococcus species was observed against amphotericin B and 5-flucytosine. Furthermore, the environmental C. neoformans var. grubii isolates were significantly less susceptible to fluconazole, itraconazole and 5-flucytosine (P<0.0001) than the clinical isolates. A continued surveillance of antifungal susceptibility of clinical and environmental strains of C. neoformans and C. gattii is desirable to monitor the emergence of any resistant strains in order to ensure more successful therapy of cryptococcosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".