Association of <i>TMEM106B</i> Gene rs1990622 Polymorphism with Cognitive Impairment in Adolescents with Depressive Disorder
Bibliographic record
Abstract
Genetic variations may serve as a critical factor in depressive cognitive impairment development. The study aimed to investigate the association between the TMEM106B gene rs1990622 polymorphism and cognitive impairment in individuals with depression. A total of 700 participants were enrolled in this study, comprising 350 adolescent depression patients without cognitive impairment (control group) and 350 adolescent depression patients with cognitive impairment (cognitive impairment group). Depressive symptom severity was evaluated with the Hamilton Depression Rating Scale (HAMD-17), and cognitive dysfunction was screened using the Montreal Cognitive Assessment-Beijing version (MoCA-BJ). Genotyping of TMEM106B rs1990622 was performed using the Sanger sequencing method, while the expression of TMEM106B was measured by RT-qPCR. Logistic regression identified risk factors for cognitive impairment in adolescent depression. Individuals carrying the GA (P = 0.014, OR = 1.568, 95% CI:1.093-2.251) and AA (P < 0.001, OR = 2.455, 95% CI:1.630-3.699) genotype at the TMEM106B rs1990622 locus exhibited an increased risk of cognitive impairment, suggesting that the A allele may serve as a risk factor for cognitive impairment in this population (P < 0.001, OR = 1.629, 95% CI:1.319-2.012). Depression patients with the AA genotype demonstrated the poorest cognitive performance. Furthermore, the expression level of the TMEM106B gene was significantly higher in the cognitive impairment group. Educational attainment, the GA and AA genotypes at rs1990622, and TMEM106B expression levels were identified as independent risk factors for depressive cognitive impairment. The TMEM106B rs1990622 variant may significantly impact cognitive impairment in depression patients.
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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".