Activation-Induced Expression of Cell Surface CD28 on Mouse T Lymphocytes is Inhibited by Cyclosporine A
Bibliographic record
Abstract
T-cell activation requires both T-cell receptor signaling and a costimulatory signal provided by CD28 which enhances and prolongs interleukin-2 (IL-2) production. To determine the effect of cyclosporine A (CsA) on constitutive and activation-induced CD28 expression, mouse T cells were exposed to CsA (0.1 microM) in the absence or presence of anti-CD3 monoclonal antibody (mAb). CD28 expression was then determined by flow cytometry. CsA treatment prevented activation-induced CD28 expression but did not affect constitutive CD28 expression. Inhibition of inducible CD28 expression by CsA was not rapidly reversible, requiring 48h of restimulation in the absence of CsA for CD28 expression to return to control levels. T cells activated in the presence of combined anti-IL-2 and anti-CD25 mAb (both 10 microg/mL) also exhibited reduced CD28 expression, suggesting that activation-induced CD28 expression is, at least in part, an IL-2-dependent process. However, the inhibitory effect of CsA on activation-induced CD28 expression was maintained in the presence of exogenous IL-2 (250 U/mL). We conclude that CsA, by inhibiting activation-induced expression of costimulatory CD28 molecules by T lymphocytes, may interfere with the ability of CD28 to provide an optimal costimulatory signal for sustained IL-2 production following T-cell activation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".