A novel mechanism of regulatory T cell-mediated down-regulation of autoimmunity
Bibliographic record
Abstract
We have established a novel CD4 and CD8 double-positive CD25+ T regulatory (Treg) clone, MT-5B, from lymph nodes of type 1 diabetes prone non-obese diabetic (NOD) mice immunized with CFA. CFA has previously been shown to prevent the onset of diabetes by inducing Treg cells. In vitro, clone MT-5B was anergic to a panel of antigen stimulations and exerted an immunosuppressive effect in antigen-non-specific and cell contact-independent manners. In vivo, clone MT-5B blocked the adoptive transfer of diabetes. Proteomics and immunoadsorption studies identified the suppressive proteins secreted by clone MT-5B as granzyme B (GrB) and perforin (PFN). GrB-mediated immune suppression was PFN dependent. Removal of GrB or PFN from the culture supernatant (SN) of MT-5B cells or pre-incubation of MT-5B cells with ethyleneglycol-bis(aminoethylether)-tetraacetic acid which blocks PFN activity reduced the immunosuppressive effect in vitro. Pre-incubation of diabetogenic splenocytes from NOD mice with MT-5B SN impaired their ability to transfer disease by inducing T cell apoptosis, and removal of GrB from MT-5B SN by immunoadsorption decreased the effector function of MT-5B SN on diabetogenic splenocytes. Immunization of NOD mice with CFA increased the expression of GrB+ CD4 T cells, indicating that these cells are present in vivo. In conclusion, we describe a novel mechanism of cell contact-independent immune suppression in which Treg cells maintain immune homeostasis by secreting GrB/PFN.
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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 | 0.001 |
| 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".