Dimethyphenylpiperazinium, a nicotinic receptor agonist, downregulates inflammation in monocytes/macrophages through PI3K and PLC chronic activation
Bibliographic record
Abstract
Activation of nicotinic acetylcholine receptors (nAChRs) on inflammatory cells induces anti-inflammatory effects. The intracellular mechanisms that regulate this effect are still poorly understood. In neuronal cells, nAChRs are associated with phosphatidylinositol 3-kinase (PI3K). This enzyme, which can activate phospholipase C (PLC), is also present in monocytes. The aim of this study was to assess the role of these proteins in the signaling pathways involved in the anti-inflammatory effect of dimethylphenylpiperazinium (DMPP), a synthetic nAChR agonist, on monocytes and macrophages. The results indicate that PI3K is associated with alpha3, -4, and -5 nAChR subunits in monocytes. The PI3K inhibitors wortmannin and LY294002 abrogated the inhibitory effect of DMPP on LPS-induced TNF release by monocytes. Treatment with DMPP for 24 and 48 h provoked a mild PLC phosphorylation, which was blocked by the nAChR antagonist mecamylamine and reversed by PI3K inhibitors. Treatment of monocytes and alveolar macrophages with DMPP reduced the inositol 1,4,5-trisphosphate (IP3)-dependent intracellular calcium mobilization induced by platelet-activating factor (PAF), an effect that was reversed by mecamylamine in alveolar macrophages. DMPP did not have any effect on PAF receptor expression. DMPP also inhibited the thapsigargin-provoked calcium release, indicating that the endoplasmic reticulum calcium stores might be depleted by treatment with the nAChR agonist. Taken together, these results suggest that PI3K and PLC activation is involved in the anti-inflammatory effect of DMPP. PLC limited, but constant activation could induce, the depletion of intracellular calcium stores, leading to the anti-inflammatory effect of DMPP.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".