Regulation of B- and T-cell Mediated Xenogeneic Transplant Rejection by Interleukin 12
Bibliographic record
Abstract
BACKGROUND: Xenotransplantation may provide a solution to the increasing shortage of donor organs. Acute vascular rejection and cell-mediated rejection remain the primary barriers to successful xenotransplantation. In animal models where acute vascular rejection can be attenuated, xenografts succumb to cell-mediated rejection. The mechanisms of acute vascular rejection and cell-mediated rejection are poorly understood. METHODS: Using a heterotopic rat-to-mouse cardiac transplantation model, we demonstrate that IL-12p40 attenuates both allogeneic and xenogeneic acute vascular rejection pathology by suppressing B-cell activation and anti-rat isotype switching. To study the mechanism of xenogeneic cell-mediated rejection, we use B-cell deficient mice that only develop cell-mediated rejection pathology. To elucidate the role of IL-12 in cell-mediated rejection, we generated B cell/ IL-12p40 double knockout mice. RESULTS: We demonstrate that xenogeneic cell-mediated rejection is mediated by CD4+ T cells, and is accompanied by elevated FasL and granzyme mRNA expression. Strikingly, by generating B cell/IL-12p40 double knockout mice, we demonstrate that xenogeneic cell-mediated rejection is IL-12p40 dependent. In contrast, we demonstrate that allogeneic cellular rejection is IL-12p40 independent. CONCLUSIONS: We conclude that IL-12 plays a dual role in xenotransplantation by driving xenogeneic CD4+ T cell responses but suppressing both allogeneic and xenogeneic B cell responses. Therefore, the mechanism of allogeneic and xenogeneic transplantation rejection is differentially regulated by IL-12.
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 | 0.000 | 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".