Early adversity and serotonin transporter genotype interact with hippocampal glucocorticoid receptor mRNA expression, corticosterone, and behavior in adult male rats.
Bibliographic record
Abstract
Despite its importance for development, relatively little is known about how allelic variation interacts with both pre- and postnatal stress. We examined the interaction between serotonin transporter (5-HTT) genotype, prenatal and postnatal stress on glucocorticoid receptor (GR) mRNA expression, corticosteroid stress responses, and behavior in adult male rats. Prenatal stress involved a daily restraint of pregnant dams from gestational Day 10-21. Postnatal stress involved raising pups after parturition either by their mothers (MR) or in the artificial rearing (AR) paradigm, with or without additional "licking-like" stroking stimulation. 5-HTT genotype, hippocampal GR mRNA level, corticosteroid stress response, and behaviors including startle response, prepulse inhibition (PPI), and locomotor activity were measured in adult male rat offspring. We found significant genotype by prenatal stress interactions for hippocampal GR mRNA levels and for the corticosterone stress responses in adulthood. In contrast, behavioral endpoints tended to be more clearly affected by an interaction between genotype and postnatal environment. These findings suggest that allelic variation in the 5-HTT gene interacts with the prenatal environment to affect the hypothalamic-pituitary-adrenal (HPA) axis physiology and the postnatal environment to affect behavior. These results are the first to indicate a role for genetic variation in the 5-HTT gene in physiology and behavior in the rat.
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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) | 0.001 | 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".