Iron Chelators Augment Large Osteochondral Allograft Osseointegration in a Preclinical Canine Model
Bibliographic record
Abstract
OBJECTIVES: Osteochondral allograft transplantation (OCAT) can be a successful joint restoration treatment option for large post-traumatic articular defects but is still associated with significant revision and failure rates. Despite recent advances that have improved OCAT success, insufficient osteochondral allograft (OCA) osseointegration remains a major cause of failure. Deferoxamine (DFO) is an effective angiogenic and osteo-anabolic iron chelator that consistently promotes bone neovascularization and regeneration. This study was designed to investigate local delivery of DFO for augmenting OCA osseointegration using a preclinical canine model for OCAT in the knee and hip as commonly affected joints. METHODS: On Institutional Animal Care and Use Committee (IACUC) approval, 12 purpose-bred dogs underwent OCAT of the femoral head or femoral condyles with DFO or DFO-free (controls) microspheres in recipient sites. OCA revascularization, cellular repopulation, and integration were evaluated based on functional, diagnostic imaging, microcomputed tomography, histology, and immunohistochemistry outcome measures. RESULTS: Local delivery of DFO into OCAT recipient sites was associated with maintained or improved joint function, superior radiographic appearance, significantly greater trabecular thickness, higher bone volume, and new bone ingrowth compared with DFO-free controls. CONCLUSION: OCA osseointegration is dependent on cellular repopulation and neovascularization, resulting in new bone ingrowth through creeping substitution, and insufficient osseointegration with resorption and subsidence of the OCA remains a major cause of failure after transplantation. The results of this study suggest that local delivery of DFO using a controlled microsphere release system may reduce resorption and improve revascularization and cellular repopulation to increase new bone ingrowth, potentially expediting OCA osseointegration after transplantation.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".