A subpopulation of<i>Candida albicans</i>and<i>Candida tropicalis</i>biofilm cells are highly tolerant to chelating agents
Bibliographic record
Abstract
Many Candida spp. produce surface-adherent biofilm populations that are resistant to antifungal compounds and other environmental stresses. Recently, certain chelating agents have been recognized as having strong antimicrobial activity against biofilms of Candida species. This study investigated and characterized the concentration- and time-dependent killing of Candida biofilms by the chelators tetrasodium EDTA and sodium diethyldithiocarbamate. Here, Candida albicans and Candida tropicalis biofilms were cultivated in the Calgary Biofilm Device and then exposed to gradient arrays of these agents. Population survival was evaluated by viable cell counting and by confocal laser scanning microscopy (CLSM) in conjunction with fluorescent viability staining. At concentrations of > or =2 mM, both EDTA and diethyldithiocarbamate killed c. 90-99.5% of the biofilm cell populations. Notably, a small fraction (c. 0.5-10%) of biofilm cells were able to withstand the highest concentrations of these antifungals that were tested (16 and 32 mM for EDTA and diethyldithiocarbamate, respectively). Interestingly, CLSM revealed that these surviving cells were irregularly distributed throughout the biofilm community. These data suggest that the use of chelating agents against biofilms of Candida spp. may be limited by the refractory nature of a variant cell subpopulation in the surface-adherent community.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".