Osteogenesis in rats induced by a novel recombinant helper‐dependent bone morphogenetic protein‐9 (BMP‐9) adenovirus
Bibliographic record
Abstract
BACKGROUND: Although recombinant first-generation BMP adenoviruses can induce ectopic bone formation in immune deficient animals, the osteoinductive activity of these BMP vectors is reduced in immune competent animals. Helper-dependent adenoviral vectors have been developed to decrease the immune response and, therefore, increase gene expression in immune competent animals compared with first-generation vectors. In the present study, the osteoinductive activity of a helper-dependent GFP and BMP-9 adenoviral vector (ADGBMP9) was evaluated in vitro and in vivo. METHODS: Initially, purified ADGBMP9 was used to transduce human mesenchymal stem cells (hMSCs) and the alkaline phosphatase activity was determined as a measure of osteogenic activity. The vector was then injected into the thigh muscle of athymic nude and Sprague-Dawley rats, and CT scans and histology were subsequently used to assess bone formation. RESULTS: In vitro, ADGBMP9 was capable of inducing alkaline phosphatase expression in hMSCs. In vivo in athymic nude and Sprague Dawley rats, ADGBMP9 initiated the process of bone formation 3 days after percutaneous injection into the thigh musculature. The rats demonstrated intramuscular ectopic ossification in CT scans as early as day 9 post viral injection and ultimately formed significant amounts of ectopic bone. Histologically, the induced bone was formed via normal endochondral mechanisms. CONCLUSIONS: A helper-dependent adenoviral vector containing the BMP-9 and GFP genes has significant osteoinductive activity in both athymic nude and immune competent rats. Additional direct and ex vivo BMP gene therapy studies are required to assess the vector's activity in more animal models.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".