Novel Duchenne Muscular Dystrophy Treatment Through Myoblast Transplantation Tolerance with Anti-CD45RB, Anti-CD154 and Mixed Chimerism
Bibliographic record
Abstract
Duchenne muscular dystrophy (DMD) is a fatal disease caused by a defect in the skeletal muscle protein, dystrophin. One potential therapy for DMD involves transplantation of myoblasts from normal individuals. Unfortunately, myoblast allografts are particularly immunogenic and transplant tolerance in dystrophic (mdx/mdx) mice has not yet been achieved despite using strategies successful in other allograft models. Here, we attempted to induce 'central tolerance' using either haplo- or fully allogeneic bone marrow after conditioning with low-dose (3 Gy) whole body irradiation and anti-CD154 or anti-CD45RB mAbs. With one exception, these mice lacked persistent chimerism, long-term survival of myoblast allografts, or tolerance. In contrast, the addition of anti-CD45RB to anti-CD154 uniformly resulted in long-lived high-level mixed chimerism, long-term (>100 days) engraftment of allogeneic myoblasts and deletion of donor-reactive cells. Moreover, all recipients exhibited tolerance to second myoblast allografts or donor-specific tolerance to skin transplants performed >80 days after the initial graft. Thus, we now report that anti-CD45RB synergizes with anti-CD40L to promote stable mixed chimerism and robust tolerance to myoblast allografts for the first time. This novel protocol may be applicable to future clinical trials in myoblast transplantation for treatment of DMD and for transplantation of other immunogenic allografts.
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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 | 0.000 | 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 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".