Haploinsufficiency of the Follicle-Stimulating Hormone Receptor Accelerates Oocyte Loss Inducing Early Reproductive Senescence and Biological Aging in Mice1
Bibliographic record
Abstract
Female mice that are null for the FSH-receptor (FSH-R) gene are estrogen deficient, acyclic, and sterile. However, the heterozygous (+/-) mice initially have reduced fertility and stop breeding by 7-9 mo. The purpose of this study was to understand the basis of reduced fertility in mice with haploinsufficiency of the FSH-R. Heterozygous females were compared to +/+ females at 3, 7, and 12 mo of age. By 7 mo most of the +/- females were acyclic and <50% delivered pups. The wild-type females were normal in these respects. None of the 1-yr-old +/- females gave viable offspring (73% in +/+). Many degenerative changes, including atresia and apoptosis, and profound loss of oocytes, were apparent in +/- mice by 7 mo. The 1-yr-old +/- ovary had very few follicles and consisted mostly of fibroid tissue and cysts. Our data support the hypothesis that reproductive deficits in +/- FSH-R mice occur because of accelerated oocyte loss due to increased cell death in the ovary. These events contribute to early reproductive senescence and biological aging in mice. Thus FSH-R status is an important determinant of ovarian aging and all phenomena that arise from subsequent estrogen deficiency and other aberrations.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".