Association of the C(–1019)G 5-HT1A functional promoter polymorphism with antidepressant response
Bibliographic record
Abstract
Antidepressants, such as serotonin or noradrenaline reuptake inhibitors (e.g. fluoxetine, nefadozone) or 5-HT1A agonists (flibanserin), desensitize the 5-HT1A autoreceptor, which may contribute to their clinical efficacy. The 5-HT1A receptor gene is repressed by NUDR/DEAF-1 in raphe cells at the C-, but not at the G-allele of the C(-1019)G polymorphism that is associated with major depression and suicide. Depressed patients (n=118) were treated with antidepressants including fluoxetine or nefadozone combined with pindolol or flibanserin alone. The severity of depression was assesssed using the Hamilton Rating Scale for Depression. Although patients had similar severity initially, those with the homozygous G(-1019) genotype responded significantly less to flibanserin (p=0.039) and in pooled antidepressant treatment groups (p=0.0497) and were approximately twice as likely to be non-responders as those with the C(-1019)C genotype. These results implicate the C(-1019)G 5-HT1A gene polymorphism as a potential marker for antidepressant response, suggesting a role for repression of the 5-HT1A gene.
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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 | 0.001 | 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".