Plasma Endocannabinoids Are Independently Associated With the Metabolic Function of White Adipose Tissue
Bibliographic record
Abstract
CONTEXT: Little is known about the link between the endocannabinoid (EC) system and the in vivo metabolic function of white adipose tissue (WAT). OBJECTIVE: We aimed to evaluate whether ECs are linked to postprandial fatty acid metabolism and WAT metabolic function. METHODS: Men and women, with (IGT, n = 20) or without impaired glucose tolerance (NGT, n = 20) underwent meal testing with oral and intravenous stable isotope palmitate tracers and positron emission tomography with intravenous [11C]-palmitate and oral [18F]-fluoro-thia-heptadecanoic acid to determine systemic and organ-specific dietary fatty acid (DFA) and nonesterified fatty acid (NEFA) metabolism and partitioning. We determined fasting and postprandial plasma levels of EC by ultra-high performance liquid chromatography-tandem mass spectrometry. RESULTS: All ECs of the 2-monoacylglycerol (2-MAG) family displayed a progressive postprandial increase up to 360 minutes after meal intake that was more pronounced in women with IGT. N-acylethanolamine (NAE) levels decreased between fasting and 180 minutes, followed by a return to preprandial values at 360 minutes and were also increased in women with IGT. Postprandial area under the curve (AUC) of palmitate appearance rate was significantly and independently associated with postprandial AUC of anandamide (AEA; P = .0003) and total energy expenditure (P = .0009). DFA storage in abdominal subcutaneous adipose tissue was positively predicted by fasting 2-arachidonoylglycerol (2-AG; P < .04). CONCLUSION: EC levels of the NAE family independently follow plasma NEFA metabolism, whereas 2-MAG closely follow the spillover of triglyceride-rich lipoprotein intravascular lipolytic products. Whether these associations are causal requires further investigation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".