Importance of B cells to development of regulatory T cells and prolongation of tissue allograft survival in recipients receiving autologous bone marrow transplantation
Bibliographic record
Abstract
We previously showed that congenic bone marrow transplantation (BMTx) post myeloablation augmented tissue allograft survival in association with increased regulatory T (Treg) cells of both host and bone marrow donor origin. Regulatory B (Breg) cells can also modulate T-cell immunity and B cells may be implicated in the development of Treg cells. Accordingly, we explored the effect of B-cell depletion in vivo on augmented graft survival post BMTx. C57BL/6 mice received BALB/c skin allografts followed 7 days later by myeloablation using cyclophosphamide and busulphan. Mice then received T-cell-depleted bone marrow from CD45.1 congenic donors, and ongoing immunosuppression with rapamycin (to day 28 after BMTx). Control mice received cyclophosphamide and busulphan followed by rapamycin, but not congenic bone marrow. At different times post BMTx, mice received B-cell-depleting antibody treatment, and the effect on both skin graft survival, and induction of Treg cells was assessed. BMTx resulted in significantly prolonged skin graft survival versus control mice, in association with attenuated donor-specific alloreactivity relative to controls, increased splenic Treg cells and significantly diminished anti-donor IgG. In mice receiving infusion of B-depleting antibodies for 12 days from day 15 post BMTx, both graft survival and Treg cell activity were diminished, particularly for functional Treg cells of donor origin. Adoptive transfer of Breg cells from mice harvested at 15 days post BMTx prolonged survival in naive transplanted mice and increased Treg cell levels. Thus, autologous BMTx augmentation of graft survival is dependent in part upon a population of Breg cells that can modulate the function of donor-derived Treg cells.
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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".