Combination of neovestitol and vestitol impair the subgingival multispecies biofilm development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this study was to evaluate effects of neovestitol-vestitol fraction (NVF) on an in vitro subgingival multispecies biofilm. The 33-species biofilm was formed for seven days using a Calgary device. Starting on day 3, treatments for applied twice daily for 1 min each: NV (400–1,600 µg ml–1), chlorhexidine 0.12% (CHX; positive control) or vehicle (negative control). After seven days, metabolic activity and microbial composition were accessed through colorimetric reaction and DNA–DNA hybridization, respectively. ANOVA/Tukey’s and Kruskal–Wallis/Dunn’s were performed (p < 0.05). NV1,600 and NV800 and CHX significantly reduced biofilm metabolic activity by 67%, 48% and 64% respectively, compared to vehicle-treatment. NV1,600, NV800 and CHX reduced red complex proportions versus vehicle-treatment. NV1,600 also reduced orange complex and increased healthy-associated purple complex compared to negative control (p < 0.05). NV1,600, NV800 and CHX reduced nine species, including Fusobacterium periodonticum and Porphyromonas gingivalis. NV1,600 also reduced Fusobacterium nucleatum polymorphum. NV seems to be a good candidate to control biofilm formation and pathogenicity in dental practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 |
| 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 it