Development and function of naturally occurring CD4+CD25+ regulatory T cells
Bibliographic record
Abstract
The immune system has evolved numerous mechanisms of peripheral T cell immunoregulation, including a network of regulatory T (Treg) cells, to modulate and down-regulate immune responses at various times and locations and in various inflammatory circumstances. Amongst these, naturally occurring CD4(+)CD25(+) Treg cells (nTreg) represent a major lymphocyte population engaged in the dominant control of self-reactive T responses and maintaining tolerance in several models of autoimmunity. CD4(+)CD25(+) Treg cells differentiate in the normal thymus as a functionally distinct subpopulation of T cells bearing a broad T cell receptor repertoire, endowing these cells with the capacity to recognize a wide range of self and nonself antigen specificities. The generation of CD4(+)CD25(+) Treg cells in the immune system is genetically controlled, influenced by antigen recognition, and various signals, in particular, cytokines such as interleukin-2 and transforming growth factor-beta1, control their activation, expansion, and suppressive effector activity. Functional abrogation of these cells in vivo or genetic defects that affect their development or function unequivocally promote the development of autoimmune and other inflammatory diseases in animals and humans. Recent progress has shed light on our understanding of the cellular and molecular basis of CD4(+)CD25(+) Treg cell-mediated immune regulation. This article discusses the relative contribution of CD4(+)CD25(+) nTreg cells in the induction of immunologic self-tolerance and provides a comprehensive overview of recent finding regarding the functional properties and effector mechanism of these cells, as revealed from various in vitro and in vivo models.
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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".