Differential interferon‐gamma production potential among naïve <scp>CD</scp>4<sup>+</sup> T cells exists prior to antigen encounter
Bibliographic record
Abstract
Abstract Individual CD 4 + T cells can become one of a number of helper (Th) lineages with distinct effector functions. However, whether biases in Th potential exist prior to antigen encounter is unknown. Studies have identified cell‐intrinsic functional heterogeneity among naïve T cells that can be parsed based on the strength of T‐cell receptor ( TCR ) interactions with self‐peptide. Here, using CD 5 levels as a surrogate for the strength of these basal TCR signals, we sought to identify pre‐existing effector biases in the CD 4 + T‐cell lineage. We show that ex vivo ‐activated CD 5 lo CD 4 + T cells produce greater amounts of the Th1 cytokine interferon‐gamma ( IFN γ) than their CD 5 hi counterparts. In addition, a greater percentage of CD 5 lo effector CD 4 + T cells produce IFN γ in both polyclonal and monoclonal CD 4 + T‐cell populations after antigen challenge in vivo . These results suggest that differential IFN γ production potential exists among CD 4 + T cells prior to activation and independent of TCR affinity for foreign antigen.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.006 |
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; both teacher heads agree on what is shown here.
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".