In vitro and in vivo biocompatibility study of a hybrid nanoparticulate BMP-7/OP-1 delivery system
Bibliographic record
Abstract
A hybrid, nanosized, localized and release-controlled bone morphogenetic protein delivery system consisting of a liposomal core incorporated into a shell of alternating layer-by-layer self-assembled natural polyelectrolytes has been formulated. Hydrophilic, monodisperse, spherical and stable cationic nanoparticles with an extended shelf-life allowing immediate protein loading prior to clinical administration resulted. In this study, the potential in vitro and in vivo cytotoxicity of unloaded and loaded nanoparticles with bone morphogenetic porotein-7 (also known as osteogenic protein-1 or OP-1) were investigated. In vitro cytotoxicity was assayed with MC3T3-E1.4 mouse preosteoblast cells and cell viability was determined by colorimetry (CellQuanti-MTTTMkit). A total of 22 young male normal Wistar rats were injected intramuscularly and monitored over a period of 14 weeks for any signs of inflammation and/or adverse reactions. Blood samples (600 muL per collection) were withdrawn on days 0 (baseline: pre-injection) and post-injections on days 1, 7, 14, 28 and 56. Hematological and biochemical analysis followed. Body weight changes over the treatment period were noted as well. Overall, all animals showed no obvious toxic health effects, immune responses and/or change in organ functions. Hence, a safe and promising nanosized carrier for the administration of therapeutic growth factors is presented.
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 | 0.000 | 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 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".