Evaluation of OX40 Ligand as a Costimulator of Human Antiviral Memory CD8 T Cell Responses: Comparison with B7.1 and 4-1BBL
Bibliographic record
Abstract
CTL are important effectors of antiviral immunity. Designing adjuvants that can induce strong cytotoxic T cell responses in humans would greatly improve the effectiveness of an antiviral vaccination or therapeutic strategy. Recent evidence suggests that, in addition to its well-established role in costimulation of CD4 T cell responses, OX40L (CD134) can directly costimulate mouse CD8 T cells. In this study, we evaluated the role of OX40L in costimulation of human antiviral CD8 T cell responses and compared it with two other important costimulators, B7.1 (CD80) and 4-1BBL (CD137L). Delivery of OX40L to human monocytes using a recombinant replication-defective adenovirus led to greater expansion, up-regulation of perforin, enhanced cytolytic activity, and increased numbers of IFN-gamma- and TNF-alpha-producing antiviral memory CD8 T cells in cultures of total T cells. Synergistic or additive effects were observed when OX40L costimulation was combined with 4-1BBL (CD137L) or B7.1 (CD80) costimulation. In total T cell cultures, at low Ag dose, 4-1BBL provided the most potent costimulus for influenza-specific CD8 T cell expansion, followed by B7.1 (CD80) and then OX40L. For isolated CD8 T cells, 4-1BBL was also the most consistent costimulator, followed by B7.1. In contrast, OX40L showed efficacy in direct activation of memory CD8 T cells in only one of seven donors. Thus, OX40L costimulates human antiviral memory CD8 T cell responses largely through indirect effects and can enhance anti-influenza, anti-EBV, and anti-HIV responses, particularly in combination with 4-1BBL or B7.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".