Dermaseptin-S1 decreases<i>Candida albicans</i>growth, biofilm formation and the expression of hyphal wall protein 1 and aspartic protease genes
Bibliographic record
Abstract
AIMS: This study aimed to investigate the effect of synthetic antimicrobial peptide dermaseptin-S1 (DS1) (ALWKTMLKKLGTMALHAGKAALGAADTISQGTQ) on the growth of Candida albicans, its transition from blastospore to hyphae, and its biofilm formation. We also analysed the expression of different genes (HWP1 and SAPs) involved in C. albicans virulence. METHODS AND RESULTS: Using cell count we showed that in addition to decreasing C. albicans growth, peptide DS1 inhibited its transition from blastospore to hyphal form. These effects are comparable to those obtained with amphotericin B (AmB). Electron microscopy analyses showed that C. albicans cells treated with either DS1 or AmB displayed a distorted cell wall surface, suggesting that the effect of DS1 was similar to that of AmB on C. albicans cell membrane structure. These observations were confirmed by our results with biofilms showing that both DS1 peptide and AmB significantly inhibited biofilm formation after 2 and 4 days. The effect of DS1 on C. albicans growth, transition and biofilm formation may occur through gene modulation, as the expression of HWP1, SAP1, SAP2, SAP3, SAP9 and SAP10 genes involved in C. albicans pathogenesis were all downregulated when C. albicans was treated with DS1. CONCLUSIONS: DS1 inhibits the growth and hyphal transition of C. albicans. DS1 was also able to decrease the expression of and gene expression of hyphal wall protein 1 and aspartic proteases genes by C. albicans. SIGNIFICANCE AND IMPACT OF THE STUDY: These data provide new insight into the efficacy of DS1 against C. albicans and its potential for use as an antifungal therapy.
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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 | 0.000 | 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".