Implantation of recombinant human bone morphogenetic proteins with biomaterial carriers: A correlation between protein pharmacokinetics and osteoinduction in the rat ectopic model
Bibliographic record
Abstract
This study was carried out to determine the effect of recombinant human bone morphogenetic protein (rhBMP) pharmacokinetics (PK) on rhBMP-induced osteoinductive activity. It was our working hypothesis that the PK of a rhBMP significantly affects its osteoinductive activity. The PK of various rhBMPs (rhBMP-2, rhBMP-4, rhBMP-6, and chemically modified rhBMP-2) implanted with four biomaterial carries (Helistat, hDBM, Osteograf/N, and Dexon) was determined using (125)I-labeled proteins in the rat ectopic assay. A select combination of rhBMP and carriers then was evaluated in the rat ectopic assay for osteoinductive activity using a semi-quantitative histologic scoring system. The results indicate that initial protein retention is dependent on protein isoelectric point (pI); proteins with a higher pI yielded a higher implant retention. Subsequent PK was not strongly dependent on the pI or on the carrier. Because of the difference in early retention, the rhBMP-carrier combinations exhibited a >100-fold difference in implant-retained protein dose. When rhBMP-2 and rhBMP-4 were implanted with the carriers, more rhBMP-2 was retained in an implant, and the osteoinductive potency of rhBMP-2 typically was higher than rhBMP-4 at low implantation doses. We conclude that protein pI plays a significant role in the local retention of implanted rhBMP and that higher retention yields a higher osteoinductive activity.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".