Toll-like receptor modulation of disease relevant B cell responses
Bibliographic record
Abstract
B cells are becoming increasingly recognized as important immune regulatory cells. Depending on their context of activation, the balance of B cell production of proinflammatory and anti-inflammatory cytokines is affected. Recent work has shown that Toll-like receptor (TLR) ligation is an important signal affecting B cell activation. We sought to determine the effect that the combination of antigen recognition, T cell help and TLR ligation would have on B cell response profiles of both control donors and Multiple Sclerosis (MS) patients. We found that TLR8 ligation resulted in enhanced B cell proliferation and survival combined with a marked suppression of B cell effector cytokines. TLR9 ligation resulted in similar enhancement in B cell proliferation that was combined with significantly increased effector cytokine production. These findings highlight the importance of TLR ligation on B cell activation and underscore the importance of understanding the effects of TLR activation on B cell biology.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".