IL‐27 increases the proliferation and effector functions of human naïve CD8<sup>+</sup> T lymphocytes and promotes their development into Tc1 cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
IL-27 has been shown to exhibit both pro- and anti-inflammatory properties; it favors mouse naïve CD4(+) T-cell differentiation into Th1 cells to the detriment of Th17 and Th2 skewing and regulates IL-10 and IL-17 production by human CD4(+) T cells. Moreover, IL-27 promotes proliferation and cytotoxic functions of mouse CD8(+) T lymphocytes, but no data are available on human CD8(+) T cells. We investigated the impact of IL-27 on human CD8(+) T cells. In contrast to mouse T cells, the IL-27 receptor (IL-27R), composed of T cell cytokine receptor (TCCR) and gp130, was detected on a greater percentage of human CD8(+) than CD4(+) T cells and these proportions increased upon polyclonal activation. IL-27 induced rapid STAT1 and STAT3 signaling, enhanced STAT1 protein levels, and induced SOCS1 and SOCS3 expression in a STAT1-dependent manner by human CD8(+) T cells. Addition of IL-27 to α-CD3-activated naïve CD8(+) T cells significantly increased T-box transcription factor expression levels, cell proliferation, and IFN-γ and granzyme B production leading to increased CD8(+) T-cell-mediated cytotoxicity. These results demonstrate that IL-27, a rapidly produced cytokine by activated APC, has a profound impact on human naïve CD8(+) T cells, driving them to become highly efficient Tc1 cells.
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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 | 0.000 |
| 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 it