Adenosine Deamination Sustains Dendritic Cell Activation in Inflammation
Bibliographic record
Abstract
Adenosine is a suppressive agent that protects the host from excessive tissue injury associated with strong inflammation. In tissue stress, higher levels of adenosine signal through adenosine receptors to exert strong anti-inflammatory effects, and thus protect host cells. Existing evidence also suggests that elevated adenosine potently down-regulates the activation of lymphocytes during inflammation. This notion, however, is in contrast with another basic observation that the immune system is highly activated precisely under the same circumstances against pathogens. In this study, we show that inflammatory responses of dendritic cells (DCs) are highly sensitive to adenosine suppression. However, they intrinsically carry high adenosine deaminase activity, which in turn degrades and removes adenosine from the surroundings, cutting off DCs from the suppression. This regulatory mechanism is important in DC responses to pathogen-associated molecular patterns and their activation of T cells. Our findings suggest a mechanism that DCs maintain their hyperreactive state in inflammation despite the general state of suppression, and reveal a regulatory role of adenosine deaminase in DC innate immune responses.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".