Curcumin as a promising anticandidal of clinical interest
Bibliographic record
Abstract
Curcumin, an important Asian spice, is part of many Indian food preparations. This work evaluates the antifungal activity of curcumin against 14 strains of Candida (10 clinical and 4 standard). Curcumin displayed antifungal properties against all tested Candida strains, with minimum inhibitory concentrations (MICs) varying from 250 to 2000 µg·mL⁻¹. The in vitro effect of curcumin on growth, sterol content, proteinase secretion, and H+ extrusion by plasma membrane ATPase was investigated for 2 standard strains Candida albicans ATCC 10261 and Candida glabrata ATCC 90030 and compared with the effect of fluconazole. At MIC, curcumin inhibited H+ extrusion in 2 species of Candida by 42% and 32% in the absence of glucose and by 28% and 18% in the presence of glucose. Respective inhibition of H+ extrusion caused by the MIC of fluconazole was 85% and 89% in the absence of glucose and 61% and 66% in its presence. Ergosterol content decreased by 70% and 53% for the 2 strains following exposure to curcumin at MIC; comparative values for fluconazole at MIC were 93% and 98%. Curcumin and fluconazole decreased proteinase secretion by 49% and 53%, respectively, in C. albicans and by 39% and 46%, respectively, in C. glabrata. In conclusion, curcumin is found to be active against all tested clinical and standard strains but is less effective than fluconazole. Antifungal activity of curcumin might be originating from alteration of membrane-associated properties of ATPase activity, ergosterol biosynthesis, and proteinase secretion.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".