Genetic characterization of the endocannabinoid system and psychiatric features in patients with migraine and medication overuse headache
Bibliographic record
Abstract
Background The endocannabinoid system (ECS) is one of the key endogenous systems regulating pain. Preclinical and clinical evidence suggests a dysregulation of the ECS in patients with migraine. The present study aimed to characterize the main ECS components in patients with chronic migraine and medication overuse headache (MOH) and episodic migraine (EM) at the gene expression level compared to healthy controls (HC) and to correlate the findings with psychopathological scales. Methods In this cross-sectional study, consecutive patients with a diagnosis of EM and MOH were enrolled. Fatty acid amide hydrolase (FAAH) was assayed through quantitative enzyme-linked immunosorbent assay kits. The gene expression of ECS components (FAAH, N -arachidonoyl phosphatidylethanolamine-specific phospholipase D (NAPE-PLD) and N -acylethanolamine acid amidase (NAAA) enzymes, cannabinoid (CB) receptors, CB 1 and CB 2 , transient receptor potential vanilloid type 1 (TRPV1) and peroxisome proliferator-activated receptor (PPAR)ɑ receptors was assayed in peripheral blood mononuclear cells through a real-time quantitative PCR. Clinical data including Migraine Disability Assessment (MIDAS) and Headache Impact Test-6 (HIT-6) were collected. Psychopathological status was assessed through the Hamilton Anxiety Rating Scale (HAM-A), the Hamilton Rating Scale for Depression (HAM-D) and the Toronto Alexithymia Scale (TAS-20). Results The study included 31 patients (15 with EM, 16 with MOH) and 14 HC. The gene expression of FAAH, an enzyme involved in the degradation of the main endocannabinoid, was significantly lower in MOH patients (0.0002 ± 0.0002) than in EM patients (0.0008 ± 0.0006) ( p = 0.005). There were no significant differences in gene expression among EM, MOH and HC groups for NAPE-PLD, NAAA, CB 1 , CB 2 , TRPV1 and PPARɑ. The levels of FAAH protein expression were significantly higher in MOH (2.9517 ± 2.2006 pg/μg) compared to EM patients (0.9225 ± 0.6878 pg/μg) ( p = 0.025). In the clinical group (EM and MOH), we found a significant negative correlation between FAAH gene expression and FAAH enzyme protein ( p = 0.014); FAAH gene expression negatively correlated with HIT-6 ( p = 0.003) and MIDAS scores ( p = 0.048), as well with all psychopathological scales, in more detail with TAS-20 ( p = 0.029), HAM-A ( p = 0.040) and HAM-D ( p = 0.028). Conclusions FAAH undergoes specific alterations in patients with MOH at gene expression levels, suggesting its potential as a blood biomarker for this condition. FAAH gene expression is possibly related to psychiatric comorbidities in migraine patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".