Effects of TREM-1 activation in human neutrophils: activation of signaling pathways, recruitment into lipid rafts and association with TLR4
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Neutrophilic polymorphonuclears (PMNs) play an important role in the progression of sepsis-related inflammation and become highly activated by a wide array of ligands on the site. The triggering receptor expressed on myeloid cells-1 (TREM-1) is a recently described receptor that has many effects on human PMN. The engagement of TREM-1 on PMN can induce phagocytosis, reactive oxygen species production and release of myeloperoxidase and IL-8. LPS has a priming effect on these functions. We show in this paper that Lyn, AKT, extracellular signal-regulated kinase 1/2 and Jak2 signaling pathways are elicited following TREM-1 engagement and activation by a monoclonal agonist antibody (anti-TREM-1) in human PMN, leading to the phosphorylation of STAT5 and RelA, a subunit of the nuclear factor-kappa B family. We also show that TREM-1 is recruited to ganglioside M1-lipid rafts in PMN upon stimulation with LPS or anti-TREM-1. Moreover, we observed that Toll-like receptor 4 and TREM-1 co-localize upon stimulation and TREM-1 engagement resulted in the phosphorylation of IL-1R-associated kinase 1, but not its stimulant-induced degradation. These data shed a new light on how various receptors implicated in the innate immune response could interact to insure an efficient inflammatory response upon pathogens-associated aggression.
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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 | 0.000 | 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 | 0.000 |
| 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 it