Beta Adrenoceptor Polymorphism and Clinical Response to Sertraline in Major Depressive Patients
Bibliographic record
Abstract
PURPOSE: The adrenoceptor family, as one of the main contributors in regulating the noradrenergic system, has been studied in involvement of depression and its treatment. A functional polymorphism of G1165C on beta adrenoceptor (βAR) enhances post receptor signalling and is assumed to be involved in pharmacotherapy of depression. The aim of the present study was to discern the influence of G1165C polymorphism in the β1AR gene on individual differences in response to sertraline. METHODS: One hundred newly diagnosed patients completed 6 weeks of sertraline treatment. Response to treatment was defined as a 50% decrease in Hamilton Rating Scale for depression (HRSD). RESULTS: The patients who carried CC genotype responded five times more to sertraline comparing with other variants (P=0.005; OR=5.7; 95%CI=1.4-23.9). Moreover, carriers of C allele responded three times more to sertraline than patients with the G allele (P=0.001; OR= 3.3; 95%CI= 1.72-6.50). CONCLUSION: In conclusion, our results support the hypothesis that genetic variation of β1AR might influence clinical response to sertraline. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.
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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) | 0.002 | 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".