Circulating endocannabinoids and brain anatomy: unraveling the weight loss connection through lifestyle and surgery approaches
Bibliographic record
Abstract
Obesity is a multifactorial disease linked to many comorbidities and has an impact on brain health. It is also known that obesity disrupts the endocannabinoid (eCB) system in the central nervous system and in the periphery, which complicates the underlying mechanisms behind obesity. However, weight loss through lifestyle interventions or bariatric surgery may alleviate obesity-related comorbidities, as well as restore eCB tone. Several studies have reported a decrease in circulating eCBs following weight loss, likely due to the positive association of these mediators with fat mass. However, further research is needed to clarify whether this reduction is a consequence of weight loss or plays a role in facilitating it. This review explores changes in circulating eCBs following weight loss and their potential roles in cerebral homeostasis and the reward system. It examines how lifestyle modifications and bariatric surgery may influence central eCB signalling and contribute to long-term weight loss success. Understanding the mechanisms behind improved brain function after weight loss could provide insights into optimizing obesity treatments.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".