Liver receptor homolog 1 (LRH-1) regulates follicle vasculature during ovulation in mice
Bibliographic record
Abstract
In brief: It is well-established that liver receptor homolog 1 (LRH-1/NR5A2) regulates the ovarian function and is required for ovulation and luteinization in mice. In the present experiment, we showed that LRH-1 is required to control vascular changes during ovulation, a novel mechanism of action of this orphan nuclear receptor. Abstract: Liver receptor homolog 1 (LRH-1/NR5A2) is a key regulator of ovarian function, and recently, it has been suggested that it may regulate changes in follicular angiogenesis, an important event during the ovulatory process and luteal development. In the present experiment, the objective was to determine whether conditional depletion of LRH-1 in mice granulosa cells modified vascular changes during the periovulatory period and to explore the possible mechanisms of this modification. We generated mice (22- to 25-day-old) with specific depletion of LRH-1 in granulosa cells by crossing Lrh1 floxed (Lrh1 f/f) mice with mice expressing Cre-recombinase driven by the anti-Müllerian type II receptor (Amhr2-cre; conditional knockout or cKO mice). We showed that preovulatory follicles of LRH-1 cKO mice had a reduced number of endothelial cells in the theca cell layer at 8 h after human chorionic gonadotropin treatment compared with control (CON) mice. Additionally, mRNA and protein expression of leptin receptor (LEPR), a protein that stimulates angiogenesis in a vascular endothelial growth factor-A (VEGFA)-dependent manner, and teratocarcinoma-derived growth factor-1 (TDGF1), which may directly stimulate endothelial cell function, were reduced in LRH-1 cKO mice as compared to CON after the LH surge. These results showed that LRH-1 is necessary for the correct vascular changes that accompany ovulation in mice and that this effect may be regulated through VEGFA-dependent and VEGFA-independent pathways mediated by LEPR and TDGF1.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".