Alterations in the Expression of Interleukin-2R Subunits by Activated T Cells from Elderly Humans Are Uncoupled from Aberrancies in G <sub>1</sub> /S Progression
Bibliographic record
Abstract
Activated T cells from elderly humans are known to often display a decline in interleukin-2 (IL-2) production. However, the possible effects of aging on the expression of IL-2 receptor (IL-2R) subunits by human T cells are more controversial and less well characterized. In the present investigation, the surface expression of IL-2Ralpha, IL-2Rbeta, and IL-2Rgamma subunits on resting and activated T cells from 15 sets of elderly and young humans was evaluated. The results showed no significant differences in the average expression of IL-2Ralpha, IL2Rbeta, and IL-2Rgamma on resting T cells from elderly and young subjects, with values of 10% or less. Similarly, no significant differences were found in the mean levels of IL-2Ralpha, IL-2Rbeta, and IL-2Rgamma on T cells from elderly and young subjects stimulated with anti-Ig cross-linked anti-CD3 (monoclonal antibody [mAb] OKT3), phorbol myristate acetate (PMA), anti-CD3 and PMA, or 1% phytohemagglutinin (PHA) plus PMA. Analyses of the expression of IL-2R on activated T cells from elderly people revealed a marked heterogeneity in IL2R levels irrespective of the stimuli. Other experiments showed that the age-related alterations in surface expression of IL-2Ralpha were not correlated to changes in the release of soluble IL-2Ralpha. Age-related changes in IL-2R expression on activated T cells from individual donors were not coupled to the ability of the T cells to undergo G(1)/S progression. Collectively, these observations suggest that activated T cells from elderly people exhibit substantial heterogeneity in the expression of IL-2R subunits and that alterations in IL-2R expression may be distinct from intrinsic defects in G(1)/S progression and proliferative responses.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".