CD8+ T CELLS ARE CAPABLE OF REJECTING PANCREATIC ISLET XENOGRAFTS1, 2
Bibliographic record
Abstract
BACKGROUND: In this study, the capacity of CD8+ T cells to act as a potential effector mechanism in pancreatic xenograft rejection was examined. METHODS: The fate of pancreatic islet xenografts was studied in mice deficient in MHC class II molecules and CD4+ T cells. Fetal pig pancreas (FPP) or Wistar rat islets (RI) were transplanted into nondiabetic or streptozotocin-induced diabetic I-A knock-out (CII K/O) mice. RESULTS: CII K/O mice were capable of rejecting both RI and FPP grafts. RI graft survival was not prolonged compared with wild type C57BL/6 controls. However, FPP grafts did survive longer in CII K/O recipients than in C57BL/J6 mice. Both RI and FPP graft rejection were CD8+ T-cell phenomena in CII K/O mice, as anti-CD8 monoclonal antibody prolonged graft survival, there were increased CD8+ T cells in the grafts and spleens of CII K/O recipients, and cell-mediated cytotoxicity was a CD8+ T-cell phenomenon associated with activation of the perforin/granzyme B system. By contrast, RI and FPP graft rejection was a CD4+ T cell-dependent phenomenon in wild type C57BL/6 mice with graft survival prolonged by anti-CD4 monoclonal antibody. There were increased numbers of CD4+ T cells, and cell-mediated cytotoxicity was a CD4+ T-cell phenomenon associated with activation of the Fas/FasL lytic pathway. CONCLUSIONS: The results demonstrate that, in the absence of CD4+ T cells, CD8+ T cells were capable of rejecting both rat and pig pancreatic islet xenografts.
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) | 0.002 | 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".