Effects of pharmacological inhibition of fatty acid amide hydrolase on corticosterone release: a systematic review of preclinical studies
Bibliographic record
Abstract
Psychiatric conditions are often linked to dysfunction of the Hypothalamic-Pituitary-Adrenal (HPA) axis. The Endocannabinoid System (ECS) plays a significant role in stress and anxiety and interacts with the HPA axis. The ECS metabolizing enzyme, Fatty Acid Amide Hydrolase (FAAH), may be integral for HPA axis response to stress by reducing levels of the endocannabinoid anandamide (AEA). However, there is conflicting evidence regarding the effects of FAAH inhibition on stress-related hormone changes, and no comprehensive evaluation of this literature exists. This review aims to synthesize the literature on the impact of pharmacological FAAH inhibition on corticosterone levels in rodents. A systematic search of PubMed/MEDLINE, APA PsychInfo, and Embase up to July 2024 was conducted. Articles reporting the effects of FAAH inhibition on corticosterone levels in rodents were included. Risk of Bias was assessed using SYRCLE's Risk of Bias tool. This review included 21 articles. FAAH inhibition showed limited effects depending on type of FAAH inhibitor, stress exposure, and rodent age. Selective FAAH inhibition did not significantly affect corticosterone levels in the absence of stress and showed minimal effects following acute stress. After chronic stress, these compounds showed more pronounced effects, reducing corticosterone in 40% of studies. Limited studies employing flavonoid-based and dual FAAH/TRPV1 inhibitors suggested blunted corticosterone after acute, but not chronic stress. This review found that FAAH inhibition has inconsistent effects on corticosterone regulation, highlighting the complex and context-dependent role of FAAH inhibition in modulating stress hormone responses, warranting further investigation to clarify its therapeutic potential in stress-related disorders.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".