Impact of Stress on the Endocannabinoid System: A [ <sup>11</sup> C]-CURB Positron Emission Tomography Study in Early Psychosis: Les effets du stress sur le système endocannabinoïde : étude par tomographie par émission de positons avec l’indicateur radioactif [11C-CURB] dans la psychose précoce
Bibliographic record
Abstract
Background Stress and traumatic experiences are well-established risk factors for psychiatric disorders. Stressful events can induce symptoms of anxiety and depression and may lead to overt psychosis, especially when there is an innate biological vulnerability. This study explores the role of the stress-regulating endocannabinoid system, specifically the activity of the enzyme fatty acid amid hydrolase (FAAH), a key regulatory enzyme for endocannabinoids, in association with stress by analysing data from healthy individuals and patients with psychosis. Methods We performed a post-hoc exploratory analysis on 65 positron emission tomography scans using the selective FAAH radioligand [ 11 C]CURB, encompassing 30 patients with psychosis (6 female) and 35 healthy controls (19 female). The study aimed to examine the association between FAAH activity and stressful life events, assessed through the Recent Life Events, Survey of Life Experiences, and Hassles and Uplifts Scale. Results There was a significant difference regarding the number of recent stressors with higher levels in patients compared to healthy subjects (Survey of Life Experiences: t = 4.88, p < 0.001, hassles: t = 3.14, p = 0.003), however there was no significant relationship of brain FAAH activity and stressful life events in any of the applied scales across groups (Recent Life Events: F 1,57 = 0.07, p = 0.80; Survey of Life Experiences: F 1,57 = 1.75, p = 0.19; hassles: F 1,56 = 1.06, p = 0.31). Linear mixed models performed separately for each group revealed that there was a positive association between FAAH activity and Recent Life Events in patients with psychosis only ( F 1,25 = 8.07, p = 0.009). Conclusions Our data reveal a significant disparity in recent stressors between the two groups, and a correlation between brain FAAH activity and stressful life events in patients with psychosis only. This suggests a complex interplay between stress and the endocannabinoid system. Plain Language Summary Title How Stress Affects the Brain’s Endocannabinoid System in Early Psychosis: A PET Study
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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".