Gender-specific decrease in NUDR and 5-HT1A receptor proteins in the prefrontal cortex of subjects with major depressive disorder
Bibliographic record
Abstract
A variety of studies have documented alterations in 5-HT1A receptor binding sites in the brain of subjects with major depressive disorder (MDD). The recently identified transcription factor, nuclear deformed epidermal autoregulatory factor (NUDR/Deaf-1) has been shown to function as a transcriptional modulator of the human 5-HT1A receptor gene. The present study was undertaken to document the regional and cellular localization of NUDR in the human prefrontal cortex and to examine the levels of NUDR and 5-HT1A receptor protein in prefrontal cortex of female and male depressed and control subjects. NUDR immunoreactivity was present in neurons and glia across cortical layers and was co-localized with 5-HT1A receptor immunoreactive neurons. NUDR immunoreactivity as measured by Western blot was significantly decreased in the prefrontal cortex of female depressed subjects (42%, p=0.02) and unchanged in male depressed subjects relative to gender-matched control subjects. Similarly, 5-HT1A receptor protein level was significantly reduced in the prefrontal cortex of female depressed subjects (46%, p=0.03) and unchanged in male depressed subjects compared to gender-matched control subjects. Reduced protein expression of NUDR in the prefrontal cortex of female subjects with MDD may reflect a functional alteration in this transcription factor, which may contribute to the decrease in 5-HT1A receptors observed in the same female subjects with MDD. In addition, the gender-specific alterations in cortical NUDR and 5-HT1A receptor proteins could represent an underlying biological mechanism associated with the higher incidence of depression in women.
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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) | 0.002 | 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".