Receptor-independent, lipid dependent mechanism of Syk kinase activation in dendritic cells (134.71)
Bibliographic record
Abstract
Abstract The binding of antigens to professional antigen-presenting cells (APCs), particularly dendritic cells (DCs), is essential for immune activation. Previously, it was shown that uric acid crystals, the causative agent of gout, were released from dying and injured cells as a "danger signal" to initiate a robust adaptive immune response. But how uric acid crystals lead to APC activation at a molecular level is unknown. Using atomic force microscopy (AFM) to analyze single cell activation in real time, we demonstrate that uric acid crystals directly bind cellular membranes, particularly cholesterol components, with very high affinity. Binding is dependent on intracellular Syk-kinase and PI3-kinase signaling and is independent of extracellular protein receptors. These findings suggest a mechanism that activates the immune system without specific cell surface protein receptors and presents a testable hypothesis for inflammation to materials without evolutionarily sensible receptors such as materials produced post-industrially. This research has applications in vaccine development, biomaterials, inflammation, and crystal-associated arthropathies.
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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) | 0.004 | 0.002 |
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".