Dopamine 2 Receptor Genes Are Associated with Raised Blood Glucose in Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: Type 2 diabetes is commonly found in schizophrenia and is an important contributor to mortality and morbidity in this condition. Dopamine has been implicated in the aetiology of both diabetes and schizophrenia. It is possible that both disorders share a common genetic susceptibility. METHODS: In a cross-sectional study, we examined 2 dopamine D2 receptor (DRD2) single-nucleotide polymorphisms (SNPs) previously associated with schizophrenia (C939 T, rs6275 and C957 T, rs6277) along with fasting blood glucose and body mass index (BMI) in 207 antipsychotic-treated patients with schizophrenia. All participants met DSM-IV criteria for schizophrenia, and those with other psychiatric disorders were excluded. Analysis of covariance was used to compare fasting glucose results by DRD2 genotypes, after controlling for known confounds. For significant associations, follow-up Bonferroni post hoc tests examined differences in fasting glucose levels between genotypes. Specific comparisons were also made using analysis of variance and chi-square (Fisher's exact test). RESULTS: The 2 DRD2 risk genotypes were associated with significant increases in blood glucose, after controlling for BMI, age, sex, dosage and type of antipsychotic medication, number of hospitalisations, and negative symptoms (rs6275, F(2, 182) = 5.901, P = 0.003; rs6277 SNP, F(2, 178) = 3.483, P = 0.033). CONCLUSIONS: These findings support the involvement of DRD2 not only in schizophrenia but also in elevated levels of blood glucose commonly found in antipsychotic-treated patients with schizophrenia. Our data support the notion that diabetes may not merely be a comorbid condition but could be fundamentally associated with the pathogenesis of schizophrenia itself.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".