Modulation of human neutrophil survival and antigen expression by activated CD4+ and CD8+ T cells
Bibliographic record
Abstract
Neutrophils and T cells often co-infiltrate pathological tissues, which suggests that these 2 cell types may interact with each other. Over the years, in vitro studies have demonstrated that neutrophils and T cells are capable of modulating each other's responses. However, few studies have examined the cross-talk between human neutrophils and CD8+ T cells, although murine models clearly show the critical role of their interaction in bacterial infections and cancer. Herein, we evaluated the interaction between human neutrophils and CD8+ T cells in a coculture system using highly purified cell preparations and compared the responses to ones from cocultures of neutrophils and CD4+ T cells. We report that anti-CD3-activated CD4+ and more potently, anti-CD3-activated CD8+ T cells modulate apoptosis and expression of activation markers by neutrophils, and neutrophils have no or little effect on T cell survival, expression of surface markers, and cytokine release. The observed effects of CD8+ T cells on neutrophils were mainly attributable to the release of TNF-α, IFN-γ, and GM-CSF, and the effects of CD4+ T cells involved IFN-γ and GM-CSF production. This study expands our knowledge of the molecular bases, whereby human CD4+ and CD8+ T cells modulate neutrophil survival and antigen expression.
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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 | 0.000 | 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".