Diversity and origins of Indian multi‐triazole resistant strains of <i>Aspergillus fumigatus</i>
Bibliographic record
Abstract
Aspergillus fumigatus is a widespread opportunistic fungal pathogen causing an alarmingly high mortality rate in immunocompromised patients. Nosocomial infections by drug-resistant A. fumigatus strains are of particular concern, and there is a pressing need to understand the origin, dispersal and long-term evolution of drug resistance in this organism. The objective of this study was to investigate the diversity and putative origins of triazole resistance of A. fumigatus from India. Eighty-nine isolates, including 51 multiple triazole resistant (MTR) isolates and 38 azole-susceptible isolates, were genotyped using multilocus sequence typing (MLST), mating typing and PCR fingerprinting. MLST resolved the 51 MTR isolates into three genotypes, two of which have susceptible counterparts, suggesting that MTR isolates originated multiple times in India. The multiple-origin hypothesis was further supported by the diversity of sequences at the triazole target gene CYP51A among the MTR isolates, and by PCR fingerprints. Interestingly, there is abundant evidence for mating and recombination in natural population of A. fumigatus in India, suggesting that sexual spread of TR34 /L98H, the dominant MTR allele, is possible. Our results call for greater attention to MTR in A. fumigatus and for better management of antifungal drug use.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".