A role for astroycte-related genes in suicide
Bibliographic record
Abstract
Astrocytes are the most abundant cell-type in the nervous system, yet are perhaps the least acknowledged players in brain function. Long considered support cells or ‘glue’, astrocytes are gradually being recognized as integral not only to the cytoarchitecture and the inflammatory process, but also to cell signaling and synaptic plasticity. This thesis will describe how a network of astrocyte-related genes may play a role in suicide. Through global gene expression analysis, a network of astrocyte-related genes was identified in brain of suicide completers as down-regulated compared to people who did not die by suicide. In particular, we identified an astrocyte-expressed TrkB gene, whose reduction of expression in suicide brain seems partially accounted for by epigenetic mechanisms. Finally, we investigated an astrocyte-expressed transcription factor, Sox9, that may partially regulate this astrocyte-related gene network. This work identifies a novel contributor to suicide, namely astrocyte dysfunction, which may impact behavior and mood.
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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 | 0.000 | 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) | 0.003 | 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".