The Medial Preoptic Nucleus Integrates the Central Influences of Testosterone on the Paraventricular Nucleus of the Hypothalamus and Its Extended Circuitries
Bibliographic record
Abstract
Testosterone contributes to sex differences in hypothalamic-pituitary-adrenal (HPA) function in humans and rodents, but the central organization of this regulation remains unclear. The medial preoptic nucleus (MPN) stands out as an important candidate in this regard because it contains androgen receptors and projects to forebrain nuclei integrating cognitive-affective information and regulating HPA responses to homeostatic threat. These include the HPA effector neurons of the paraventricular nucleus (PVN) of the hypothalamus, medial amygdala, and lateral septum. To test the extent to which androgen receptors in the MPN engage these cell groups, we compared in adult male rats the effects of unilateral microimplants of testosterone and the androgen receptor antagonist hydroxyflutamide into the MPN on acute restraint induced activation and/or neuropeptide expression levels. The basic effects of these implants were lateralized to the sides of the nuclei ipsilateral to the implants. Testosterone, but not hydroxyflutamide implants, decreased stress-induced Fos and arginine vasopressin (AVP) heteronuclear RNA expression in the PVN, as well as Fos expression in the lateral septum. In unstressed animals, AVP mRNA expression in the PVN decreased and increased in response to testosterone and hydroxflutamide MPN implants, respectively. The differential influences of these implants on AVP mRNA expression were opposite in the medial amygdala. These results confirm a role for androgen receptors in the MPN to concurrently modulate neuropeptide expression and activational responses in the PVN and its extended circuitries. This suggests that the MPN is capable of bridging converging limbic influences to the HPA axis with changes in gonadal status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".