Abstract P543: Changes in Plasma Anandamide Concentrations are Associated With Reduction in Blood Pressure in Morbidly Obese Patients Undergoing Bariatric Surgery
Bibliographic record
Abstract
The role of endocannabinoids in the vascular system is not well-known. Blood pressure (BP) levels decrease in obese patients after undergoing bariatric surgery, but the underlying mechanisms remain unclear. Aim: to explore the associations between changes (Δ) in serum endocannabinoids [anandamide (AEA) and 2-arachidonoylglycerol (2-AG)] and Δ in ambulatory BP in morbidly obese patients 1 month after undergoing bariatric surgery (BxS). Methods: Thirty-one patients (25 female, 16 hypertensives, mean age 45±8,6 yr, mean body mass index [BMI] 44±5,6 kg/m 2 ) with morbid obesity undergoing BxS were prospectively examined. Twenty-four hours-ambulatory BP parameters and serum AEA and 2-AG concentrations were evaluated at baseline and 1 month after BxS. Results: 24h- systolic and diastolic BP decreased at 1 month (Table). SBP=systolic blood pressure; DBP=diastolic blood pressure; BMI=body mass index; AEA=anandamide; 2-AG=2-arachidonoylglycerol There were inverse correlations of Δ AEA with Δ 24h-SBP (P=-0,493; p=0,020) and with Δ 24h-DBP (P=-0,560; p=0.007). After adjusting for Δ BMI and baseline BP values, the correlation between Δ AEA and Δ 24h-DBP (β coef. =-0,38; 95%CI: -26,47 to -0,38) remained statistically significant (p=0,044; R 2 =0,523). Conclusion: in obese patients undergoing BxS, the decrease of 24h-DBP at 1 month is related to changes in AEA levels.
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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 | 0.001 |
| 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 | 0.001 |
| 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".