Ação da histatina 5, uma proteína antimicrobiana, no desenvolvimento de biofilmes de Candida Albicans
Bibliographic record
Abstract
Candida albicans, present in oralbiofilms, is primarily responsible for denture stomatitis. Usually the infection is asymptomatic, but when signs and symptoms are present it can cause mucosal bleeding, swelling, burning or other painful sensations. Topical drugs such as miconazole and nystatin have been used, however, the diluent effect of saliva, the tongue and oral muscles movements reduce the dose of these agents to subtherapeutic concentrations, besides the high rate of recurrence of the infection. Thus, it is important to search for new antifungals, which are efficient and non-toxic. The oral cavity is constantly in presence of saliva, a biological fluid with potent antifungal and bacterial activity. With the recent progress in analysis of saliva proteome, the number of identified salivary proteins has increased considerably. The histatin-5 generated proteolytically from Hst-3, during maturation of the granules in the salivary glands of the parotid has been extensively studied due to their greater fungicidal action his remarkable action against C. albicans. Methods based on measurements of metabolic activity and cell viability as reduction assay salt XTT (2,3-bis hydroxide (2-methoxy-4-nitro-5-sulfophenyl) -5 - [(phenylamino) carbonyl] - 2H-tetrazolium) and counting of colony forming units (CFU) have been used for the exploration of new drug potential on inhibitory development of biofilm. The associations between the metabolic activities experiments with counting CFU are labor-intensive processes that need to be done separately. This study aimed to evaluate initially i) the effects of XTT salt and other compounds used to make the XTT reduction assay on cell viability of biofilms of C. albicans and S. mutans; ii) evaluate the potential of histatin 5 in protecting the human oral epithelium against C. albicans and iii) identify the heterotypic complexes formed between the histatin 5, a natural...(Complete abstrat electronic access below)
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".