Progression of Osteogenic Cell Cultures Grown on Microtopographic Titanium Coated With Calcium Phosphate and Functionalized With a Type I Collagen‐Derived Peptide
Bibliographic record
Abstract
BACKGROUND: The functionalization of metallic surfaces aims at promoting the cellular response at the biomaterial-tissue interface. This study investigates the effects of the functionalization of titanium (Ti) microtopography with a calcium phosphate (CaP) coating with and without peptide 15 (P-15), a synthetic peptide analog of the cell-binding domain of collagen I, on the in vitro progression of osteogenic cells. METHODS: Sandblasting and acid etching (SBAE; control) Ti microtopography was coated with CaP, enabling the loading of two concentrations of P-15: 20 or 200 μg/mL. A machined Ti was also examined. Rat calvarial osteogenic cells were cultured on Ti disks with the surfaces mentioned above for periods up to 21 days (n = 180 per group). RESULTS: CaP coating exhibited a submicron-scale needle-shaped structure. Although all surfaces were hydrophobic at time zero, functionalization increased hydrophilicity at equilibrium. Microtopographies exhibited a lower proportion of well-spread cells at 4 hours of culture and cells with long cytoplasmic extensions at day 3; modified SBAE supported higher cell viability and larger extracellular osteopontin (OPN) accumulation. For SBAE and modified SBAE, real-time polymerase chain reaction showed the following results: 1) lower levels for runt-related transcription factor 2 at 7 days and for bone sialoprotein at days 7 and 10 as well as higher OPN levels at days 7 and 10 compared to machined Ti; and 2) higher alkaline phosphatase levels at day 10 compared to day 7. At 14 and 21 days, modified SBAE supported higher proportions of red-dye-stained areas (calcium content). CONCLUSION: Addition of a CaP coating to SBAE Ti by itself may affect key events of in vitro osteogenesis, ultimately resulting in enhanced matrix mineralization; additional P-15 functionalization has only limited synergistic effects.
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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) | 0.000 | 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 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".