Sexual Stimulation Induces Fos Immunoreactivity within GnRH Neurons of the Female Rat Preoptic Area: Interaction with Steroid Hormones
Bibliographic record
Abstract
We have shown previously that sexual stimulation (copulation with intromission or vaginocervical stimulation) induces c-fos mRNA and Fos-like immunoreactivity (IR) within estrogen-concentrating and nonconcentrating regions of the female rat forebrain, including regions that contain gonadotropin-releasing hormone (GnRH) neurons in septum and anterior preoptic area. The overall induction of Fos-like IR within these regions was specific to afferent sensory stimulation and did not require treatment with estrogen and progesterone. Because vaginocervical stimulation facilitates lordosis and increases the release of luteinizing hormone, the present study examined whether hormone treatment that promotes sexual receptivity, with or without sexual stimulation, increases Fos-like IR specifically within GnRH-containing neurons. Sexually experienced ovariectomized rats were administered estradiol benzoate (10 micrograms) 48 h and progesterone (500 micrograms) 4 h before either 1 h of paced copulation with a sexually vigorous male, 50 vaginocervical stimulations with a glass rod distributed over 1 h, or no stimulation. Control rats received injections of the oil vehicle. Fos-like IR was found within a significant number of GnRH-positive neurons in the anterior preoptic area caudal to the organum vasculosum following copulation with intromission or vaginocervical stimulation as compared with no stimulation. Although few GnRH cells coexpressed Fos following hormone treatment alone, this treatment enhanced the number of GnRH neurons that coexpressed Fos following vaginocervical stimulation as compared with the effect of vaginocervical stimulation in oil-treated rats. Together, these data indicate that estrogen and progesterone can augment the responsiveness of certain GnRH neurons to vaginocervical stimulation, consistent with the effects of sexual activity on GnRH release.
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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".