SAT434 Estradiol Controls GnRH-II Gene Expression In The Hypothalamus And Pituitary Gland Of Female Rhesus Macaques (Macaca Mulatta)
Bibliographic record
Abstract
Abstract Disclosure: A. Lomniczi: None. M. Appleman: None. H.F. Urbanski: None. It has been known for many years that rhesus macaques express two forms of gonadotropin-releasing hormone (GnRH-I and GnRH-II) in the medial basal hypothalamus (MBH), and that both forms are capable of stimulating the release of luteinizing hormone (LH) in vivo. However, while much has been published about the role of GnRH-I in reproduction, very little is known about the function of GnRH-II. To shed light on this issue, we studied the expression pattern of these two genes in different parts of the monkey hypothalamus, median eminence and pituitary gland. Quantitative PCR (qPCR) analysis revealed that while GnRH-I is preferentially expressed in the Arcuate Nucleus (ARC), Median Eminence (ME), Supraoptic Nucleus (SON) and Suprachiasmatic Nucleus (SCN); GnRH-II was highly expressed in the SON, ARC-ME and Paraventricular Nucleus (PVN), confirming our previously published in situ hybridization studies. Strikingly, GnRH-II mRNA was also detected in the pituitary gland, a site where GnRH-I was not found. We have previously demonstrated that maximum hypothalamic GnRH-II expression occurs around the time of the preovulatory LH surge, when estrogen (E2) levels are maximal, but no significant changes in GnRH-I mRNA levels occur. Here using an ovariectomized (OVX) macaque model subjected to E2 replacement paradigm, designed to mimic the plasma E2 levels observed during the preovulatory estradiol peak, we performed RNAseq and qPCR from the PVN and pituitary gland to identify genes differentially regulated by E2. While GnRH-I mRNA was not affected by E2 treatment in any of the tissues studied, pituitary GnRH-II expression highly correlated with estrogen levels (r>0.8; p<0.01), with over a hundred-fold increase in mRNA expression. Taken together, these data suggest that pituitary GnRH-II (but not GnRH-I) gene expression is induced by a positive feedback action of estradiol. This novel finding raises the possibility that GnRH-II plays a major role in triggering the preovulatory LH surge in primates, not only at the ARC-ME but also at the pituitary level. Presentation Date: Saturday, June 17, 2023
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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) | 0.003 | 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".