Variation in Kisspeptin and RFamide-Related Peptide (RFRP) Expression and Terminal Connections to Gonadotropin-Releasing Hormone Neurons in the Brain: A Novel Medium for Seasonal Breeding in the Sheep
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Bibliographic record
Abstract
Reproductive activity in sheep is seasonal, being activated by short-day photoperiods and inhibited by long days. During the nonbreeding season, GnRH secretion is reduced by both steroid-independent and steroid-dependent (increased response to estradiol negative feedback) effects of photoperiod. Kisspeptin (also known as metastin) and gonadotropin-inhibitory hormone (GnIH, or RFRP) are two RFamide neuropeptides that appear critical in the regulation of the reproductive neuroendocrine axis. We hypothesized that expression of kisspeptin and/or RFRP underlies the seasonal change in GnRH secretion. We examined kisspeptin and RFRP (protein and mRNA) expression in the brains of ovariectomized (OVX) ewes treated with estradiol (OVX+E) during the nonbreeding and breeding seasons. In OVX+E ewes, greater expression of kisspeptin and Kiss1 mRNA in the arcuate nucleus and lesser expression of RFRP (protein) in the dorsomedial nucleus of the hypothalamus were concurrent with the breeding season. There was also a greater number of kisspeptin terminal contacts onto GnRH neurons and less RFRP-GnRH contacts during the breeding season (compared with the nonbreeding season) in OVX+E ewes. Comparison of OVX and OVX+E ewes in the breeding and nonbreeding season revealed a greater effect of steroid replacement on inhibition of kisspeptin protein and Kiss1 mRNA expression during the nonbreeding season. Overall, we propose that the two RFamide peptides, kisspeptin and RFRP, act in concert, with opposing effects, to regulate the activity of GnRH neurons across the seasons, leading to the annual change in fertility and the cyclical seasonal transition from nonbreeding to breeding season.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.000 | 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 it