Prenatal Stress Produces Sexually Dimorphic and Regionally Specific Changes in Gene Expression in Hippocampus and Frontal Cortex of Developing Rat Offspring
Bibliographic record
Abstract
Prenatal stress has been known to induce structural changes in the brain and lead to negative psychological well-being. To further understanding of the mechanisms that underlie these effects, whole genome microarray analysis was used to analyze gene expression changes in the developing brain. Epigenetic changes in the hippocampus and frontal cortex of offspring exposed to stress during gestation were investigated. Biological process ontology and pathway analysis was used to increase understanding of the changes produced in response to prenatal stress. The study identified over 700 genes in the frontal cortex and hippocampus that are differentially expressed following prenatal stress. The epigenetic changes demonstrate sex-dependent and region-specific profiles, exhibiting very little overlap between sexes and brain area. Frontal cortex changes were largely related to neurotransmitter function, whereas hippocampal changes were more prominent in females and concentrated around growth factors. These findings have important implications for generalized intervention strategies using a single methodology for all individuals.
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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 | 0.001 |
| 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".