Dual Receptors and Distinct Pathways Mediate Interleukin-1 Receptor-associated Kinase Degradation in Response to Lipopolysaccharide
Bibliographic record
Abstract
Lipopolysaccharide (LPS) signaling leading to nuclear factor-kappaB activation in mononuclear phagocytes involves interleukin-1 receptor-associated kinase (IRAK), which is rapidly activated after exposure to agonist. Although it is known that IRAK also undergoes rapid inactivation/degradation in response to LPS, providing negative feedback leading to LPS tolerance, mechanisms governing IRAK degradation are not fully understood. In the present study, examination of LPS signaling showed that IRAK degradation was bimodal and involved dual receptors and distinct pathways. Rapid degradation of IRAK, occurring within 30 min of exposure to agonist, was shown to signal through CD14/TLR4 and was regulated by phosphatidylinositol 3-kinase. A second delayed wave of IRAK degradation occurred 2 h after exposure to LPS and was mediated by CR3 independently of phosphatidylinositol 3-kinase. Thus, multiple independent mechanisms have evolved to regulate IRAK degradation, likely reflecting the importance of limiting cellular responses to LPS. Recognition of a CR3-dependent, CD14/TLR4-independent pathway leading to IRAK degradation has implications for understanding modulation of LPS responses by cells with important immunoregulatory function such as dendritic cells that are CD14(-).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".