Costimulation of human CD28<sup>–</sup> T cells by 4‐1BB ligand
Bibliographic record
Abstract
The T cell surface protein CD28 provides a critical costimulatory signal for T cell activation. With age, humans accumulate increasing numbers of CD28- T cells, and this loss of CD28 expression is exacerbated certain disease states, such as HIV infection, autoimmune conditions or cancer. It is unclear whether CD28- T cells represent terminally differentiated effector cells or whether they remain sensitive to costimulation by CD28-independent pathways. Here, we demonstrate that 4-1 BB ligand can costimulate human CD28- T cells, resulting in cell division, inflammatory cytokine production, increased perforin levels, enhancement of cytolytic effector function, as well as the up-regulation of the anti-apoptotic protein Bcl-X(L). Thus, human CD28- T cells can respond to costimulatory signals and as such become attractive targets for therapeutic intervention, particularly in chronic infectious and inflammatory diseases where large numbers of these cells accumulate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| 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 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".