Endocrine Alterations and Signaling Changes Associated with Declining Ovarian Function and Advanced Biological Aging in Follicle-Stimulating Hormone Receptor Haploinsufficient Mice1
Bibliographic record
Abstract
Reproductive aging in female mammals is characterized by a progressive decline in fertility due to loss of follicles and reduced ovarian steroidogenesis. In this study we examined some of the endocrine and signaling parameters that might contribute to a decrease in ovulation and reproductive performance of mice with haploinsufficiency of the FSH receptor (FSH-R). For this purpose we compared ovarian changes and hormone levels in FSH-R heterozygous (+/-) and wild-type mice of different ages (3, 7, and 12 mo). Hormone-induced ovulations in immature and 3-mo-old +/- mice were consistently lower. The number of corpora lutea (CL) were lower at 3 and 7 mo, and none were present in 1-yr-old +/- females. The plasma steroid and gonadotropin levels exhibited changes associated with typical ovarian aging. Plasma FSH and LH levels were higher in 7-mo-old +/- mice, but FSH levels continued to rise in both genotypes by 1 yr. Serum estradiol and progesterone were lower in +/- mice at all ages, and testosterone was several-fold higher in 7-mo-old and 1-yr-old +/- mice. Inhibin alpha (Western blot) appeared to be lower in +/- ovaries at all ages. FSH-R (FSH* binding) declined steadily from 3 mo and reaching the lowest point at 1 yr. LH receptor (LH* binding) was high in the 1-yr-old ovary, and expression was localized in the stroma and interstitial cells. Our findings demonstrate that haploinsufficiency of the FSH-R gene could cause premature exhaustion of the gonadal reserves previously noted in these mice. This is accompanied by age-related changes in the hypothalamic-pituitary axis. As these features in our FSH-R +/- mice resemble reproductive failure occurring in middle-age women, further studies in this model might provide useful insights into the mechanisms underlying ovarian aging.
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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 | 0.000 |
| 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".