Interaction of αβ-TCR+CD3+CD4-CD8-NK1.1- T Cells with Antigen Presenting Cells in Immune Suppression
Bibliographic record
Abstract
αβ-TCR+CD3+CD4-CD8-NK1.1- double negative (DN) T cells comprise 1-5% of T lymphocytes in mice and humans. Previous studies have demonstrated that DN T cells can suppress auto-, allo- and xeno-immune responses in an antigen-specific fashion. However, the mechanisms by which DN T cells regulate immune responses remain elusive. Whether DN T cells can regulate antigen presenting cells has not been investigated previously. The focus of this thesis is to determine the consequences of DN T cells interaction with antigen presenting cells (APCs) and the underlying mechanisms. In this thesis, using a murine skin transplantation model, we found that donor B cells, but not dendritic cells (DCs), are the major surviving donor APCs in recipients following donor lymphocyte infusion. Infusing donor B, but not non-B, cells resulted in significantly enhanced donor-specific skin allograft survival. Mice that had received donor B cells showed higher expression of activation markers on antigen-specific DN T cells. B cells could present alloantigen to DN T cells and prime DN T cell proliferation in an antigen-specific fashion. Activated DN T cells were not able to down regulate the expression of CD80 or CD86 on LPS-activated B cells, but they could kill activated allogeneic as well as syngeneic B cells via a perforin-dependent pathway in vitro. In addition, DN T cells expressed high levels of CTLA4 and were capable of down regulating CD80 and CD86 expressed on antigen-expressing mature DCs through CTLA4. DN T cells killed both immature and mature allogeneic DCs, as well as antigen-loaded syngeneic DCs, in an antigen-specific manner in vitro and in vivo, mainly through the Fas-FasL pathway. Taken together, the data presented in this thesis demonstrate, for the first time, that DN T cells are potent regulators of APCs and further clarify the mechanisms of DN T cell-mediated immune suppression. These findings provide novel insights for DN T cells to be developed as a potent immune suppression treatment for a variety of diseases.
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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".