Programming of the Hypothalamo–Pituitary–Adrenal Axis: Serotonergic Involvement
Bibliographic record
Abstract
The ability of the early environment to programme the developing hypothalamo-pituitary-adrenal (HPA) axis has been reported in several animal species. There is considerable evidence that a similar process can occur in the human, and that long-term alterations in HPA function are associated with altered susceptibility to disease in later life. The phenotype of HPA function following early manipulation depends on the timing and intensity of the manipulation as well as the gender of the fetus/neonate. There is considerable interplay between the developing HPA and the reproductive axes and emerging evidence indicates that this interaction is modified by early environmental manipulation. Studies are rapidly unravelling the mechanisms that underlie developmental programming of the HPA axis. In this context, the serotonergic system has been identified as a primary system involved in this process. Understanding the mechanisms involved in neuroendocrine programming will facilitate the development of interventions aimed at reversing or ameliorating the impact of an adverse intrauterine environment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".