Osteopontin and Wound Healing in Bone
Bibliographic record
Abstract
Bone wound healing after surgical drilling/cutting initially involves a typical inflammatory response with a leukocyte-rich cell infiltrate whose professional phagocytes (neutrophils and macrophages) clear the wound site of various bacterial (if present), particulate, and insoluble components arising from the original wounding event. As part of this process, in a surgical model of bone repair in rats, osteopontin (OPN) secreted by macrophages - with its known mineral-binding properties arising from abundant calcium-binding phosphorylations and overall net negative charge - binds to the newly exposed mineralized surfaces of particulate bone debris and the osseous wound margins created by the drilling, as shown by high-resolution immunogold labeling and transmission electron microscopy. For bone debris powder, OPN serves as an opsonin for clearance by macrophage phagocytosis, as demonstrated in vitro by phagocytosis assays using cultured J774.A1 murine macrophages and OPN-coated microbeads. Macrophage-secreted OPN binding to the bone wound margins contributes to cement line (plane) formation with subsequent OPN additions to the cement line coming from osteoblast lineage cells arriving at this site to effect bone repair upon further osteoblast differentiation, and extracellular matrix deposition and mineralization. Such interfacial OPN is thought to contribute to the cell adhesion, cell signaling, and matrix mineralization events required to effectively integrate the new bone into the preexisting bone at the margins of the drill site.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".