Tolerogenic dendritic cells transferring hyporesponsiveness and synergizing T regulatory cells in transplant tolerance
Bibliographic record
Abstract
Dendritic cells are among the most potent antigen-presenting cells and are important in the development of both immunity and tolerance. Tolerogenic dendritic cell (Tol-DC) is a key factor in the induction and maintenance of tolerance during transplantation. However, the precise mechanism and direct evidence of in vivo immune modulation remain unclear. In the present study, we identified critical roles of immune modulation on transplant tolerance through interactions between Tol-DCs and regulatory T (Treg) cells. Tol-DCs remained in an immature state and were insensitive to maturation stimuli. Tol-DCs in tolerant recipients heightened the expression of indoleamine 2,3-dioxygenase (IDO) that induced allogeneic T-cell apoptosis. Adoptive transfer of Tol-DCs isolated from primary tolerant recipients resulted in augmentation of CD4(+)CD25(+)CTLA4(+) Treg cells and prolonged graft survival in secondary allogeneic heart transplantation and synergized with Treg cells to induce tolerance in secondary recipients. This study indicates that Tol-DC offers two functions during the process of tolerogenesis: suppression of anti-donor T-cell responses through production of IDO and interaction with Treg cells, which provides a framework for future research into tolerance induction.
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 | 0.001 |
| 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".