Endothelial cell‐derived fibroblast growth factor‐18 regulates ovarian function in sheep
Bibliographic record
Abstract
Abstract Increasing the efficiency of farm animal reproduction is necessary to reduce the environmental impact of food production systems. One approach is to increase the number of healthy eggs (oocytes) produced per female for fertilization, thus it is important to understand factors that decrease oocyte health. One paracrine factor that decreases ovarian follicle growth is fibroblast growth factor 18 (FGF18) secreted by cells in the theca layer of the ovarian follicle, however the factors that regulate FGF18 secretion are unknown. In this study we hypothesized that FGF18 secretion is controled by intrafollicular factors and is linked to fertility, which we tested by using cell culture and sheep genetic models in vivo. Separation of theca cell populations revealed that FGF18 messenger RNA (mRNA) is located mainly in thecal endothelial rather than endocrine cells, and immunohistochemistry localized FGF18 protein to microvessels in the theca layer in situ. Culture of ovine theca‐derived endothelial cells was used to demonstrate stimulation of FGF18 mRNA and protein abundance by bone morphogenetic protein 4 (BMP4), a growth factor derived from theca endocrine cells. Taking advantage of a sheep genetic model, we demonstrate reduced ovarian and peripheral FGF18 concentrations in the hyperprolific Booroola ewe harboring the FecB B mutation in BMPR1B. These data suggest a novel control of fertility by follicular endothelial cells, in which theca endocrine cells secrete BMP4 that stimulates the secretion of FGF18 from thecal endothelial cells, which in turn diffuses into the granulosa cell layer and promotes apoptosis.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.001 |
| 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 teacher head, 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".