Ex vivo perfusion recellularization of acellular rat hindlimbs for vascular composite allotransplantation
Bibliographic record
Abstract
Vascular composite allotransplantation (VCA) is a promising reconstructive surgical option for severe tissue loss. Autologous reconstructive methods are limited by donor tissue availability and donor site morbidity. Long-term immunosuppression regimens have severe side effects that limit the clinical implications of VCA. Tissue engineered composite grafts using decellularization and recellularization represent a potential solution to this. We present ex vivo recellularization of decellularized rat hindlimbs using human umbilical vein endothelial cells (HUVECs) and L6 rat myoblasts. HUVECs and L6 rat myoblasts were seeded in the vascular and muscle compartments, respectively and cultured up to 7 days ex vivo. We report cell engraftment in femoral vessels, small vessels located distally in muscle, and cell clusters in muscle, with phenotypic characterization in both tissue types. Formation of a neo-endothelium and nascent myotube formation was observed. Cell survival in both vessels and muscle was also demonstrated. These findings provide a foundational basis for a proof-of-concept small animal model for recellularization of composite tissues for VCA.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".