Circulating endocannabinoids in insulin sensitive vs. Insulin resistant obese postmenopausal women. A MONET group study
Bibliographic record
Abstract
OBJECTIVE: To measure the circulating levels of endocannabinoids and related molecules at fasting, after acute hyperinsulinemia and after weight loss in insulin sensitive vs. insulin resistant obese postmenopausal women. DESIGN AND METHODS: The sample consisted of 30 obese postmenopausal women (age: 58.9 ± 5.2 yrs; BMI: 32.9 ± 3.6 kg/m(2) ). Subjects underwent a 3-hour hyperinsulinaemic-euglycaemic clamp (HEC) (glucose disposal rate (M-value): 10.7 ± 3.3 mg min(-1) kg(-1) FFM) and 6-month weight loss intervention. Participants were classified as insulin sensitive obese (ISO) or insulin resistant obese (IRO) based on a predefined cutoff. Plasma levels of the endocannabinoids, anandamide (AEA), 2-arachidonoylglycerol (2-AG), and of the AEA-related compounds, palmitoylethanolamide (PEA) and oleoylethanolamide (OEA), were measured by liquid chromatography-mass spectrometry. RESULTS: IRO presented higher levels of 2-AG (P < 0.05) independently of the HEC and weight loss, whereas the HEC had an independent inhibitory effect on AEA, PEA, and OEA levels (P < 0.05) in both groups. Furthermore, there was an independent stimulatory effect of weight loss only on PEA levels in both groups (P < 0.05). CONCLUSIONS: This study is the first to show that higher circulating levels of the endocannabinoid 2-AG are found in IRO compared to ISO postmenopausal women, and that weight loss is associated with an increase in PEA, a PPAR-α ligand.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".