An NKG2D-Mediated Human Lymphoid Stress Surveillance Response with High Interindividual Variation
Bibliographic record
Abstract
DNA damage or other physicochemical stresses may increase the expression of major histocompatibility complex class I-related stress antigens, which then activate lymphocytes. This lymphoid stress surveillance (LSS) not only can limit tumor formation but may also promote immunopathology. MICA is a highly polymorphic human stress antigen implicated in tumor surveillance, inflammation, and transplant rejection. However, LSS has not been conclusively demonstrated in humans, and the functional role for MICA polymorphisms remains to be established. We show that MICA coding sequence polymorphisms substantially affected RNA and protein expression. All donors tested showed LSS responses of γδ T and natural killer cells, but unexpectedly, each was individually "tuned." Hence, some responded optimally to highly expressed alleles, whereas others responded better to lower MICA expression, challenging the orthodoxy that higher stress antigen levels promote greater responsiveness. These individual variations in LSS tuning may help explain patient-specific differences in tumor immune surveillance, transplant rejection, and inflammation, as well as provide insight into immune evasion and immunosuppression.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".