Antisense deoxyoligonucleotides or antibodies to murine MD-1 inhibit rejection of allogeneic and xenogeneic skin grafts in C3H mice
Bibliographic record
Abstract
BACKGROUND: Altered expression of murine MD-1, a molecule controlling expression of members of the interleukin (IL)-1 receptor family of signaling proteins, regulates antigen-presenting cell-induced alloreactions. We investigated the effect of treatment with antisense deoxyoligonucleotides or antibodies to MD-1 in vivo on allogeneic and xenogeneic skin graft survival and the immune responses in transplanted mice. METHODS: C3H mice received C57BL/6 or Lewis rat skin grafts, followed by i.v. injections of anti-MD-1 antibody or antisense oligonucleotides or control reagents at 48-hr intervals. Survival was monitored. In separate studies, mice were sacrificed at 5-day intervals. Serum was analyzed for circulating MD-1 antigen, and peritoneal cells for surface expression of MD-1. The proliferative and cytolytic response of lymphocytes harvested from treated animals and restimulated in vitro with allo- or xenogeneic cells, and the cytokines produced, was measured. Graft histology was assessed at 11 days after transplantation. RESULTS: Treatment with anti-MD-1 oligonucleotides or antibodies suppressed rejection of both xeno- and allogeneic grafts, decreased induction of graft-specific cytotoxic T cells, increased production of type-2 cytokines (IL-4 and IL-10), and decreased production of type-1 cytokines (IL-2 and interferon-gamma). Serum levels of MD-1 were suppressed, as was expression of MD-1 on the surface of antigen-presenting cells. Grafts from MD-1-treated mice showed little lymphocyte infiltration, and no signs of graft necrosis. CONCLUSION: Our data suggest a critical in vivo role for MD-1 expression in regulating graft rejection, as well as in the concomitant sensitization of T cells and their cytokine production profile, which parallels the rejection response.
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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".