Long-Term Limb Allograft Survival Using a Short Course of Anti-CD45RB Monoclonal Antibody, LF 15-0195, and Rapamycin in a Mouse Model
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to determine if a short course of monoclonal antibody (mAb) against CD45RB, LF 15-0195, and rapamycin would achieve long-term survival by inducing tolerance in a mouse limb transplant model. METHODS: Group 1 (n=9) consisted of nine isogenic (C57BL/6) transplants. Group 2 (n=3) included C57BL/6-to-BALB/c transplants receiving no drug therapy. Group 3 mice (n=4) were treated with mAb (3 mg/kg) and LF (2 mg/kg), and Group 4 (n=13) was treated with mAb, LF, and rapamycin (2 mg/kg). Both treatment groups received drug treatment for only 14 days posttransplantation. Animals were sacrificed if they displayed evidence of rejection or when deemed to be tolerant (defined as >day 100). RESULTS: All isografts had normal histology and graft function on day 100. Untreated C57BL/6-to-BALB/c allografts developed acute rejection within 10 days. The combination of mAb and LF prolonged allograft survival to a mean of 39+/-7 days. In Group 4, two animals had to be sacrificed at days 28 and 76 due to acute urinary retention. Transplant tolerance was achieved in 8 of the remaining 11 animals with a mean survival time of 100+/-12 days. Donor specific tolerance was demonstrated through permanent acceptance of skin grafts from the donor strain and rejection of skin grafts from C3H mice. Three Group 4 animals showed clinical and histological signs of mild, chronic rejection. Dendritic cells isolated from tolerant recipients exerted a suppressive effect in mixed lymphocyte reaction. CONCLUSION: A short course of anti-CD45RB mAb and LF 15-0195 prolonged limb allograft survival. The addition of rapamycin induced limb allograft tolerance which is associated with the generation of tolerogenic dendritic cells that suppressed T-cell proliferation.
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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) | 0.001 | 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 | 0.001 | 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".