DNA-methyltransferase 1 mRNA is selectively overexpressed in telencephalic GABAergic interneurons of schizophrenia brains
Bibliographic record
Abstract
A down-regulation of reelin and glutamic acid decarboxylase (GAD) 67 mRNAs was detected in gamma-aminobutyric acid (GABA)ergic cortical interneurons of schizophrenia (SZ) postmortem brains (10), suggesting that the availability of GABA and reelin may be decreased in SZ cortex. In situ hybridization of the mRNA encoding for DNA-methyltransferase 1, which catalyzes the methylation of promoter CpG islands, shows that the expression of this mRNA is increased in cortical GABAergic interneurons but not in pyramidal neurons of SZ brains. Counts of reelin mRNA-positive neurons in Brodmann's area 10 of either nonpsychiatric subjects or SZ patients show that the expression of reelin mRNA is decreased in layer-I, -II, and -IV GABAergic interneurons of SZ patients. These findings are consistent with the hypothesis that the increase of DNA-methyltransferase 1 expression in telencephalic GABAergic interneurons of SZ patients causes a promoter hypermethylation of reelin and GAD(67) and perhaps of other genes expressed in these interneurons. It is difficult to decide whether this dysfunction of GABAergic neurons detected in SZ is responsible for this disease or is a consequence of this disorder. Although at present we cannot differentiate between these two alternatives, it is important to consider that so far a molecular pathology of cortical GABAergic neurons appears to be the most consistent finding associated with SZ morbidity.
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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) | 0.001 | 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".