Serotonin Transporter Gene Promoter Polymorphism and Alexithymia
Bibliographic record
Abstract
BACKGROUND: Recent neurobiological studies have reported that alexithymia may result from altered brain function related to emotional processing. Serotonin (5-hydroxytryptamine, 5-HT) has been shown to regulate central nervous system development associated with psychological processing. We investigated the possibility that polymorphism of the 5-HT transporter-linked promoter region (5-HTTLPR) is associated with alexithymia. METHODS: This study included 304 healthy Japanese volunteers (148 males, 156 females). The subjects were categorized according to genotype (L/L, L/S, S/S) and results of the 20-item Toronto Alexithymia Scale (TAS-20), State-Trait Anxiety Inventory (STAI) and Self-Rating Depression Scale (SDS). RESULTS: Subjects with the L/L genotype showed significantly higher TAS-20 scores, as well as significantly higher scores on the difficulty identifying feeling (DIF) subscale, than those with the L/S or S/S genotype (p < 0.05). There was a gender difference in the association between 5-HTTLPR genotype and DIF score. Female subjects with the L/L genotype showed significantly higher DIF scores than those with the L/S or S/S genotype (p ≤ 0.001). Neither STAI nor SDS was significantly associated with the 5-HTTLPR genotype. CONCLUSION: These results suggest a link between low synaptic 5-HT and alexithymia.
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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 | 0.001 |
| 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) | 0.003 | 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".