IL-7 decreases IL-7 receptor (CD127) expression and induces the shedding of CD127 by human CD8+ T cells
Bibliographic record
Abstract
IL-7 receptor alpha (CD127) signaling is essential for T-cell development and regulation of naive and memory T-cell homeostasis. Fewer CD8(+) T cells from HIV-infected patients express CD127 compared with healthy individuals, suggesting that specific host and/or viral factors regulate IL-7 receptor expression. Factors relevant to HIV infection that could potentially decrease CD127 expression on human CD8(+) T cells and the mechanisms by which this occurs were therefore evaluated. IL-7, but not HIV gp120, IL-1-beta, IL-6, IL-10, IL-13, transforming growth factor-beta or tumor necrosis factor-alpha, reduced CD127-surface expression and did so without altering CD127 mRNA expression. Furthermore, IL-7 did not increase the amount of cytoplasmic CD127 in CD8(+) T cells. Interestingly, IL-7 induced the shedding of CD127 from CD8(+) T cells, suggesting a mechanism that may contribute to the increased concentration of CD127 in the plasma of HIV(+) individuals, a novel finding reported here. Naive CD8(+) T cells are more sensitive to IL-7 that mediated the down-regulation of CD127, suggesting that these effects may have particular significance early in T-cell life cycle. Since CD127 down-regulation may be an important contributor to HIV-associated T-cell dysfunction, determining the mechanism thereof may prove to be of considerable significance.
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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".