Gonadotropin and intra-ovarian signals regulating follicle development and atresia: the delicate balance between life and death
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Regulation of mammalian follicular development is tightly regulated by both cell death and survival signals, including endocrine (e.g. gonadotropin) and intra-ovarian regulators (e.g. Nodal and GDF9). The destiny of the individual follicle (growth/ovulation or atresia) is dependent on a delicate balance in the expression and action of factors promoting follicular cell proliferation, growth and differentiation, and of those promoting programmed cell death (apoptosis). Development of the follicle from the primordial to preantral stage is regulated by oocyte-derived factors including GDF9 and BMP15, and is not dependent on gonadotropin support (gonadotropin-independent stage). As the follicle transits into the early antral stage it becomes responsive to gonadotropin (gonadotropin-responsive stages) and further development renders the follicle completely dependent on the presence of gonadotropin while modulated by intra-ovarian regulators (gonadotropin-dependent). Follicle fate is also regulated by pro-apoptotic factors such as the intraovarian regulator Nodal, which is secreted by the theca and promotes apoptosis of differentiated granulosa cells through a mechanism involving Smad2 signaling and suppression of the PI3K/Akt pathway. The intracellular protein prohibitin (PHB) appears to have a dual role during folliculogenesis; acting as a cell survival factor in undifferentiated cells, and as a pro-apoptotic factor following differentiation. Further investigations of the interplay between these endocrine and ovarian regulators will lead to a better understanding into the regulation of follicular development and atresia, allowing development of new techniques for assisted reproduction.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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