Abnormalities of SNARE Mechanism Proteins in Anterior Frontal Cortex in Severe Mental Illness
Bibliographic record
Abstract
A fundamental molecular component of neural connectivity is the SNARE (SNAP receptor) protein complex, which consists of three proteins, syntaxin, SNAP-25 and VAMP. Under appropriate conditions, the SNARE complex can be formed in vitro. To investigate the hypothesis that dysregulation of SNARE proteins or their interactions could be abnormal in severe mental disorders, the three SNARE proteins and the complex were studied in post-mortem anterior frontal cortex homogenates. An ELISA was used to quantify SNARE protein immunoreactivities in cortical homogenates from four groups: patients with schizophrenia who died of causes other than suicide (n = 6), patients with schizophrenia and suicide (n = 7), patients with depression and suicide (n = 11), and controls (n = 11). Differences between groups in patterns of SNARE protein immuno-reactivities were demonstrated [Wilks' Lambda F(9,68) = 3.57, P = 0.001]. Protein-by-protein analyses indicated a significant reduction in SNAP-25 immunoreactivity in the schizophrenia non-suicide group [28% decrease relative to controls, F(3,31) = 6.45, P = 0.002, Student-Newman-Keuls test, P < 0.01]. The intercorrelations between SNARE protein and synaptophysin immunoreactivities were high in controls, but lower in the other groups, further indicating disturbances in relationships between these proteins. The extent of SNARE complex formation in vitro was studied using immuno-blotting. Significant differences related to group membership were observed for the SNARE complexes identified by SNAP-25 [Wilks' Lambda F(3,31) = 4.76, P = 0.008] and by syntaxin immunostaining [Wilks' Lambda F(3,31) = 9.16, P = 0.0002]. In both groups with suicide as a cause of death, relatively more SNAP-25 and syntaxin was present in the heterotrimeric SNARE complex than in other molecular forms. These abnormalities in the SNARE complex could represent a molecular substrate for abnormalities of neural connectivity in severe mental disorders.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".