Effect of MUC7 peptides on the growth of bacteria and on Streptococcus mutans biofilm
Bibliographic record
Abstract
OBJECTIVES: To investigate the susceptibility of selected bacteria as well as Streptococcus mutans biofilm to MUC7 peptides and compare the activities with those of other known antimicrobial peptides. METHODS: MIC and MBC of peptides for S. mutans, Escherichia coli, Streptococcus gordonii, Actinobacillus actinomycetemcomitans, Porphyromonas gingivalis and Pseudomonas aeruginosa were determined using the microdilution method. For S. mutans, the effects of the peptides on the kinetics of growth inhibition, time-killing, and on biofilm formation and reduction were also examined. For biofilm studies, polystyrene microtitre plates, Calgary Biofilm Device (CBD) and hydroxylapatite (HA) discs, along with Crystal Violet and Alamar Blue dyes, and/or EM observations, were employed. RESULTS: S. mutans was the most susceptible to all peptides tested (MICs of 9.4-25.0 microM), compared with the other species (MICs of 3.1->100 microM). MUC7 peptides (except MUC7-12-mer-L4) exerted 2-fold higher activity against S. mutans than Hsn5-12-mer and magainin-II, and faster killing of S. mutans than Hsn5-12-mer. The MUC7 peptides also had an effect on S. mutans biofilm. On the polystyrene plates, they suppressed the biofilm formation, with MBIC(50) of 6.25-12.5 microM, and reduced the 1 day developed biofilm in a batch culture, with MBRC(50) of 25-50 microM. On the CBD pegs, the viabilities of the biofilm were suppressed by >95% in the presence of MUC7 peptides at 4x MIC (50 microM). One day developed biofilm viabilities were inhibited by 49-75%. On HA, the formation of biofilm (as observed by EM) was also considerably reduced. CONCLUSIONS: MUC7 peptides present somewhat preferential antimicrobial activity against S. mutans. They also have an effect on in vitro formation and reduction of the preformed S. mutans biofilm.
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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 | 0.001 |
| 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".