The prostacyclin receptor PTGIR is a NRF2-dependent regulator of CD8+ T cell exhaustion
Bibliographic record
Abstract
CD8+ T cell exhaustion (Tex) limits immune control of cancer, but the underlying molecular drivers are unclear. In the present study, we identified the prostaglandin I2 (prostacyclin) receptor PTGIR as a cell-intrinsic regulator of T cell exhaustion. Transcriptomic profiling of terminally exhausted (Ttex) CD8+ T cells revealed increased activation of the nuclear factor erythroid 2-related factor 2 (NRF2) oxidative stress response pathway. Enhancing NRF2 activity (by conditional deletion of Kelch-like ECH-associated protein 1 (KEAP1)) boosts glutathione production in CD8+ T cells but accelerates terminal exhaustion. NRF2 upregulates PTGIR expression in CD8+ T cells. Silencing PTGIR expression enhances T cell effector function (that is, interferon-γ and granzyme production) and limits Ttex cell development in chronic infection and cancer models. Mechanistically, PTGIR signaling impairs T cell metabolism and cytokine production while inducing transcriptional features of Tex cells. These findings identify PTGIR as a NRF2-dependent immune checkpoint that regulates balance between effector and exhausted CD8+ T cell states. Targeting CD8+ T cell exhaustion is a strategy to enhance immune checkpoint inhibition and to fight cancer. Here the authors show a NRF2-dependent role for the prostaglandin I2 receptor PTGIR in controlling T cell exhaustion.
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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 | 0.000 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".