The BDNF Val66Met gene polymorphism is associated with increased alexithymic and anticipatory anxiety in patients with panic disorder
Bibliographic record
Abstract
A large body of evidence indicates that patients with panic disorder(PD) report more obvious alexithymia, and previous studies suggest genetic factors may be play an important role in alexithymia. This study aims to examine the association between the Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism and alexithymia, and then to evaluate the association of the BDNFVal66Met polymorphism with PD risk. 223 patients with PD and 218 healthy controls were enrolled in the study. The Toronto Alexithymia Scale (TAS-20), and Panic Disorder Severity Scale (PDSS) were administered to all subjects. And genotyping of the BDNF Val 66Met polymorphism was evaluated. Our results showed that both PD patients and normal controls with the BDNF Met/Met genotype had significantly higher total and difficulty describing feelings(DDF) subdimension scores on the TAS-20 than those with the Val/Val genotype.The patients with the BDNF Met/Met genotype were more severity of anticipatory anxiety than patients with Val/Val genotype.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".