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 CD4+ 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 CD5 levels as a surrogate for the strength of these basal TCR signals, we sought to identify pre‐existing effector biases in the CD4+ T‐cell lineage. We show that ex vivo‐activated CD5lo CD4+ T cells produce greater amounts of the Th1 cytokine interferon‐gamma (IFNγ) than their CD5hi counterparts. In addition, a greater percentage of CD5lo effector CD4+ T cells produce IFNγ in both polyclonal and monoclonal CD4+ T‐cell populations after antigen challenge in vivo. These results suggest that differential IFNγ production potential exists among CD4+ T cells prior to activation and independent of TCR affinity for foreign antigen.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".