Association Study of Astrocyte-Derived Protein S100B Gene Polymorphisms with Major Depressive Disorder in Chinese People
Bibliographic record
Abstract
OBJECTIVE: Astroglial-derived protein S100B is known to play important roles in axonal growth, neural plasticity, and energy regulation. Disturbance of these neurodevelopmental processes is proposed as one possible etiology for mood disorder. Therefore, we performed a genetic analysis of S100B in patients with major depressive disorder (MDD). METHOD: The polymorphisms of S100B were determined by polymerase chain reaction-restriction fragment length polymorphism in patients (n = 152) with MDD and healthy control subjects (n = 150). The genotypic and allelic distributions of 2 variants were analyzed in Chinese patients. RESULTS: Two single nucleotide polymorphisms did not display significant associations with MDD. However, there were significant differences in age of onset in 3 genotypes of S100B rs9722. Significant differences in the subgroup depression (first-episode and recurrent depression) were also shown in 3 genotypes of S100B rs9722 and rs11911834 in patients and control subjects (P < 0.05). CONCLUSIONS: Our findings did not suggest association of S100B gene polymorphisms in patients with MDD in China. We found there were differences in depressive episodes among different genotypes of S100B gene.
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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".