Biocompatibility and biodegradability of implantable drug delivery matrices based on novel poly(decane- <i>co</i> -tricarballylate) photocured elastomers
Bibliographic record
Abstract
Visible light photo-cross-linked biodegradable amorphous elastomers based on poly(decane- co-tricarballylate) (PDET) with different cross-linking densities were synthesized, and their cytotoxicity, biocompatibility, and biodegradability were reported. Cytotoxicity of PDET extracts of the elastomers was assessed for mitochondrial succinate dehydrogenase activity by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT assay) and inhibition of [ 3 H] thymidine incorporation into DNA of epithelial cells. The in vivo biocompatibility and biodegradability were determined by subcutaneous implantation of PDET microcylinders in 25 male Sprague–Dawley rats over a period of 12 weeks. The in vivo changes in physical and mechanical parameters of the implants were compared with those observed in vitro. The treated epithelial cells revealed no signs of cytotoxicity, and the elastomer degradation products caused only a slight stimulation to both mitochondrial activity and DNA replication. The implants did not exhibit any macroscopic signs of inflammation or adverse tissue reactions at implant retrieval sites. The retrieved implanted microcylinders maintained their original geometry and extensibility in a manner similar to those observed in vitro. These new elastomers have excellent biocompatibility and are considered promising biomaterials for controlled drug delivery and tissue engineering applications.
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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) | 0.000 | 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".