Relative Contributions of the <i>Candida albicans</i> ABC Transporters Cdr1p and Cdr2p to Clinical Azole Resistance
Bibliographic record
Abstract
Candida albicans frequently develops resistance to treatment with azole drugs due to the acquisition of gain-of-function mutations in the transcription factor Tac1p. Tac1p hyperactivation in azole-resistant isolates results in the constitutive overexpression of several genes, including CDR1 and CDR2, which encode two homologous transporters of the ATP-binding cassette family. Functional studies of Cdr1p and Cdr2p have been carried out so far by heterologous expression in the budding yeast Saccharomyces cerevisiae and by gene deletion or overexpression in azole-sensitive C. albicans strains in which CDR1 expression is low and CDR2 expression is undetectable. Thus, the direct demonstration that CDR1 and CDR2 overexpression causes azole resistance in clinical strains is still lacking, as is our knowledge of the relative contribution of each transporter to clinical azole resistance. In the present study, we used the SAT1 flipper system to delete the CDR1 and CDR2 genes from clinical isolate 5674. This strain is resistant to several azole derivatives due to a strong hyperactive mutation in Tac1p and expresses high levels of Cdr1p and Cdr2p. We found that deleting CDR1 had a major effect, reducing resistance to fluconazole (FLC), ketoconazole (KTC), and itraconazole (ITC) by 6-, 4-, and 8-fold, respectively. Deleting CDR2 had a much weaker effect, reducing FLC or KTC resistance by 1.5-fold, and had no effect on ITC resistance. These results demonstrate that Cdr1p is a major determinant of azole resistance in strain 5674 and potentially in other clinical strains overexpressing Cdr1p and Cdr2p, while Cdr2p plays a more minor role.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".