Effect of extraction protocols and epidermal growth factor on the cellular repopulation of decellularized anterior cruciate ligament allografts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We are developing a decellularized bone-anterior cruciate ligament (ACL)-bone allograft for treatment of ACL disruption in young or active patients. This study demonstrates the feasibility of seeding decellularized ACL tissue with primary ligament fibroblasts. Porcine ACLs were decellularized by one of three protocols, each differing only by the detergent/solvent used during the second wash (SDS, Triton-X, or TnBP). Porcine ACL fibroblasts were obtained by explant and seeded onto tissue samples of decellularized ACL. Culture conditions were varied to compare the relative effect of three different decellularization protocols on cellular repopulation. Culture condition variables included (1) the number of cells used for seeding, (2) the addition of epidermal growth factor (EGF), and (3) culture duration. Cellular ingrowth was assessed by metabolic activity (MTT assay), DNA quantification (Hoescht dye), and histology (H&E staining). Cell counting on histological sections demonstrated that Triton-X-and TnBP-treated ligaments were more receptive to cellular ingrowth than SDS-treated samples. The addition of EGF to culture medium did not significantly increase cellular ingrowth. Both the Triton-X and TnBP decellularization treatments provide suitable, naturally derived scaffolds for the ingrowth of primary ACL fibroblasts, and should be further investigated in the development of an allograft-derived bone-ACL-bone graft.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it