Aberrant Intracellular Cholesterol Transport Disrupts Pituitary and Ovarian Function
Bibliographic record
Abstract
Cholesterol is imported and processed to provide substrate for ovarian steroidogenesis. The Niemann Pick type C-1 gene codes for a glycoprotein that processes low-density lipoproteinimported cholesterol. Mutation of this gene causes marked impairment of export of low-density lipoprotein-derived cholesterol from endosomes, and consequent lysosomal accumulation of the sterol. The BALB/c npc(nih-/-) mouse line, bearing spontaneous mutation of the NPC-1 gene, provides a model for investigation of aberrant endosomal cholesterol transfer in the ovary. Female homozygote mutant mice are infertile, with underdeveloped ovarian follicles, reduced steroidogenesis, no ovulation, and no corpora lutea. Mutant ovaries transplanted under wild-type kidney capsules display both ovulation and formation of corpora lutea. Gonadotropin treatment induces ovulation and restores expression of steroidogenic proteins. Pituitary glands of mutants are hypoplastic, and prolactin expression is dramatically reduced compared with wild-type mice. Both long and short splice variants of the dopamine-D2 receptors are overexpressed in the pituitary of BALB/c npc(nih-/-) mice. Chronic treatment of mutant mice with 17beta-estradiol restores pituitary volume, prolactin expression, and folliculogenetic capability. We conclude that inactivating mutation of Niemann Pick C-1 perturbs the hypothalamic-pituitary-ovarian feedback loop. Reduced estrogens attenuate prolactin expression and alter gonadotropin secretion patterns and interfere with normal ovarian follicular development and ovulation.
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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 | 0.001 |
| 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 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".