Enhanced suppression of polyclonal CD8+25+ regulatory T cells via exosomal arming of antigen-specific peptide/MHC complexes
Bibliographic record
Abstract
Abstract Compared with CD4+25+ regulatory T cells (Tregs), the mechanisms for natural, polyclonal CD8+25+ Treg immune suppression have been significantly less studied. We previously showed that polyclonal T cells can acquire antigen-specific targeting activity through arming with exosomal peptide-MHC (pMHC). In this study, we assessed the suppressive effect of CD8+25+ Tregs or CD8+25+ Tregs armed with ovalbumin (OVA)-specific exosomes on other immune cells and OVA-specific dendritic cell (DCOVA)-stimulated antitumor immunity. We demonstrate that CD8+25+ Tregs inhibit T cell proliferation in vitro in a cell contact-dependent fashion but independent of the expression of immunosuppressive IL-10, TGF-β, and CTLA-4. CD8+25+ Tregs anergize naïve T cells upon stimulation by up-regulating T cell anergy-associated Egr2 and down-regulating IL-2 production. Tregs also anergize DCs by preventing DC maturation through the down-regulation of Iab, CD80, CD86, and inflammatory cytokines, leading to defects in T cell stimulation. Moreover, CD8+25+ Tregs inhibit CTLs through inducing CTL death via perforin-mediated apoptosis and through reducing effector CTL cytotoxic activity via down-regulating CTL perforin-production and degranulation. In addition, we show that CD8+25+ Tregs suppress DCOVA-stimulated CTL responses in priming and effector phases and inhibit immunity against OVA-expressing CCLOVA lung cancer. Remarkably, polyclonal CD8+25+ Tregs armed with OVA-specific exosomal pMHC class-II (pMHC-II), or pMHC class-I (pMHC-I) complexes exert their enhanced inhibition of CTL responses in the priming and the effector phases, respectively. Taken together, our investigation reveals that assigning antigen specificity to nonspecific polyclonal CD8+25+ Tregs for enhanced immune suppression can be achieved through exosomal pMHC arming. This principle may have a great effect on Treg-mediated immunotherapy of autoimmune diseases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".