Deciphering the interaction between N-palmitoyl-D-glucosamine and the endocannabinoidome
Bibliographic record
Abstract
N-palmitoyl-D-glucosamine (PGA) belongs to the class of molecules known as Autacoid Local Injury Antagonism (ALIA)-amides, whose parent compound is N-palmitoyl-ethanolamine (PEA) an endocannabinoid-like mediator belonging to the expanded endocannabinoid system (the endocannabinoidome). The mechanism of action of ALIA-amides is mainly targeted at the down-regulation of the hyperactivity of peripheral mast cells and non-neuronal cells of the central nervous system. This study aimed to investigate if PGA is able to produce the typical "entourage" effect of PEA, consisting of increasing the endogenous levels of the endocannabinoids anandamide (AEA) and 2-arachidonoylglycerol (2-AG), and to also elevate endogenous PEA levels. PGA (10 µM) treatment of HaCaT cells for 40 min and 6 h resulted in higher cellular concentrations of AEA, 2-AG and PEA. The increase of endocannabinoid and PEA levels was observed both after 40 min and 6 h of PGA treatment. The unselective serine hydrolase inhibitor MAFP (10 µM) inhibited the PGA-induced increase in cellular concentrations of AEA, 2-AG and PEA. The mRNA expression of endocannabinoid and PEA anabolic (NAPEPLD, ABHD4, GDE1, DAGLA and DAGLB) and catabolic (FAAH, MAGL and NAAA) enzymes was also measured, revealing a significative reduction of GDE1, DAGLB, FAAH, MAGL and NAAA, after PGA treatment for 6 h. Finally, AEA, 2-AG and PEA were also measured in HaCaT cells after siRNA against ABHD4 and PGA treatment for 40 min, revealing an increase of their endogenous levels. In conclusion, we demonstrated for the first time that PGA increases PEA and endocannabinoid levels, thus potentially strengthening a part of endocannabinoidome signaling.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".