Dynamics of Ovarian Development in the FORKO Immature Mouse: Structural and Functional Implications for Ovarian Reserve
Bibliographic record
Abstract
Adult Follitropin Receptor Knockout (FORKO) female mice are infertile and estrogen deficient. In order to understand the peri/postnatal developmental changes, we have now characterized the structural and molecular aberrations by comparing several markers of follicular development in 2-, 10-, and 24-day-old wild-type and FORKO females. By Day 24, FORKO mice have 40%-50% smaller uteri and vaginas. Estradiol is undetectable but testosterone and LH levels are already elevated at this age. FORKO ovaries are 45% smaller, indicating a postnatal or perinatal deficit consequent to FSH receptor ablation. This is attributable to decreased numbers of growing follicles and reduced diameter. Developmental markers, such as Müllerian inhibiting substance, GATA-4, estrogen receptor beta, and androgen receptor, were differentially expressed in granulosa cells. In the 2-day-old mutant neonates, a faster recruitment process was noted that later slowed down, impeding development of follicles. This is noteworthy in light of the controversy regarding the direct role of FSH/receptor system as a determinant of small and preantral follicle development in rodents. As the pool of nongrowing primordial follicles specifies the duration of female fertility and timing of reproductive senescence, we believe that the postnatal FORKO female mouse could help in exploring the signals that impact on early folliculogenesis. In addition, our data suggest that the FSH/receptor system is a major contributor to the formation and recruitment of the nongrowing pool of follicles as early as Postnatal Day 2 in the mouse.
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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 | 0.001 | 0.001 |
| 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 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".