Effect of bioaggregate on differentiation of human periodontal ligament fibroblasts
Bibliographic record
Abstract
AIM: To investigate the cytotoxicity of bioaggregate (BA; Innovative Bioceramix, Vancouver, BC, Canada) to human periodontal ligament (PDL) fibroblasts and its effect on differentiation of human PDL fibroblasts and to compare its performance to that of mineral trioxide aggregate (MTA; Dentsply, Tulsa, OK, USA). METHODOLOGY: Cytotoxicity was assessed by 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay on days 1, 2, and 3 after incubation with BA or MTA. The influence of BA and MTA on differentiation of human PDL fibroblasts on days 3, 5, and 7 was evaluated by gene expression of alkaline phosphatase (ALP) and collagen type I (COLI) via quantitative real-time polymerase chain reaction (PCR). The data were analysed by one-way analysis of variance followed by Tukey's test. RESULTS: Cell numbers in the BA group were similar to that of the control group throughout the culture period, whereas MTA suppressed the proliferation of fibroblasts. ALP expression was significantly increased in the BA group on day 7, whilst it was enhanced by MTA on day 3. Gene expression of COLI was induced by both BA and MTA compared to the control group. CONCLUSIONS: Bioaggregate was nontoxic to human PDL fibroblasts and appeared to induce the differentiation of human PDL fibroblasts.
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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 | 0.000 |
| 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".