Metabolomics Network Analysis of Various Genotypes Associated with Schizophrenia Gene Variant
Bibliographic record
Abstract
BACKGROUND: This study investigates metabolic perturbations in serum samples associated with different genotypes (AA, AC, and CC) of the schizophrenia susceptibility gene NOS1AP-rs12742393. METHODS: Publicly available datasets acquired using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS) were analyzed by employing network and enrichment approaches. RESULTS: Key metabolites, including tryptophan, 2-aminobutyric acid, palmitic acid, and 5-hydroxytryptophan, were strongly linked to metabolic networks in genotypes AA-AC and AA. Enrichment analysis was conducted to identify metabolite sets differentially distributed across these genotypes, with a particular focus on genotype AA. CONCLUSIONS: The findings suggest that NOS1AP-rs12742393 contributes to complex metabolic alterations involving amino acids, organic compounds, fatty acids, and cholic acids. Moreover, serum metabolome analysis demonstrates sufficient sensitivity and specificity to provide insights into NOS1AP-rs12742393 genotype-associated metabolic profiles, supporting a network-based approach to understanding schizophrenia susceptibility.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".