Cholesterol content in brains of suicide completers
Bibliographic record
Abstract
An association between low levels of serum cholesterol and violent or suicidal behaviour has frequently been reported, but it remains unclear how cholesterol in the peripheral system might be related to the brain functions involved in mediating suicidal behaviour. To our knowledge, there have been no previous studies aimed at answering the important question of whether there are differences in cholesterol within the brains of suicide completers. In the present study, cholesterol content was measured in cortical and subcortical tissue of brains from 41 male suicide completers and 21 male controls that died of sudden causes with no direct influence on brain tissue. No significant differences in cholesterol content were found between suicides and controls in the frontal cortex, amygdala or hippocampus. However, when the suicide completers were stratified into violent (n=31) or non-violent (n=10) groups based on the method of death, violent suicides were found to have lower grey-matter cholesterol content overall compared to non-violent suicides [F(1,111)=4.75, p=0.03], specifically in the frontal cortex (t=-4.16, d.f.=37, p<0.0005). Further exploration of the frontal cortex revealed that violent suicides had lower cholesterol content compared to non-violent suicides in the orbitofrontal cortex (t=-2.01, d.f.=36, p=0.05) and the ventral prefrontal cortex (t=-2.49, d.f.=37, p=0.02). This study represents the first direct examination of cholesterol content in brain tissue from suicide completers, and the present findings provide added support for the relationship between low cholesterol and violent or suicidal behaviour.
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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) | 0.000 | 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) | 0.002 | 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".