Identification of a novel immunosuppressive DC subpopulation in tolerized heart allografts (145.23)
Bibliographic record
Abstract
Abstract The role of dendritic cells (DC) in the maintenance of allograft tolerance is unclear. We analyzed the composition and function of DC infiltrates in tolerized murine heart allografts. Methods. B6 donor splenocytes (Day -7) plus anti-CD4 antibody (Day -1, 2 5 and 7) were injected into BALB/c recipients of B6 heart allografts; mice with heart grafts beating > 80 days were considered tolerant. Syngenic heart grafts (B6 to B6) were used as control. Results: We found that graft-infiltrating Lin-CD11c+MHCII+ cDC contained a novel Gr-1+ cDC subpopulation. B220+CD11c+MHCII+ plasmacytoid DC (pDC) were undetectable. In contrast to allograft Gr-1- cDC, which resemble typical immature tissue cDC, Gr-1+ cDC express lower levels of MHC class II and CD11c, adhere to culture plates, exhibit resistance to maturation stimuli, and stimulate allogeneic lymphocytes poorly. Gr-1+ cDC are distributed uniquely in tolerant allografts but not syngenic grafts or acutely rejecting allografts. Gr-1+cDC are absent in lymphoid tissues. Our previous studies have shown that the cytokine milieu of tumors skews pre-cDC differentiation towards Gr-1+ cDC. We found that pre-cDC exist in heart allografts. It remains to be determined whether tolerized hearts promote pre-cDC to differentiate into Gr-1+ cDC in situ. Conclusion: Tolerized allografts contain an immunosuppressive DC subpopulation that may contribute to the maintenance of long-term allograft survival.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".