IL-7 Enhances Survival of Human CD56bright NK Cells
Bibliographic record
Abstract
Lymphoid differentiation and activation critically depend on cytokine stimulation and the interleukin-7 (IL-7) signaling in particular. Although it has been demonstrated that IL-7 may play a role in natural killer (NK) cell maturation, the effect of IL-7 stimulation on mature human NK cells has not been studied. We, therefore, investigated the expression and functional activity of IL-7Ralpha on mature NK populations from adult blood. In this article, we demonstrate that IL-7Ralpha is specifically expressed in the CD56bright noncytotoxic cytokine-producing NK subset. Importantly, this expression is thymus independent, contrary to what is observed in mice. In addition, we show that IL-7Ralpha is expressed at higher levels on NKG2A+CD56bright NK cells. In contrast to IL-15 stimulation, IL-7 does not increase NK cell cytotoxicity, interferon-gamma production, or the expression of activation markers, indicating that these cytokines play different functions in NK homeostasis and activation. However, IL-7 promotes the survival of the CD56bright NK subset and inhibits apoptosis by increasing BCL2 expression. These data should be taken into account when considering the clinical use of IL-7, particularly after stem cell transplantation.
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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) | 0.002 | 0.001 |
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".