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.
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 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 | 0.001 | 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 teacher head, 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".