Involvement of Transforming Growth Factor α in the Regulation of Rat Ovarian X-Linked Inhibitor of Apoptosis Protein Expression and Follicular Growth by Follicle-Stimulating Hormone1
Bibliographic record
Abstract
The expression of X-linked inhibitor of apoptosis protein (XIAP), a member of a family of intracellular antiapoptotic proteins, is induced by FSH during follicular development in vivo. Whether the XIAP up-regulation by FSH (100 ng/ml) is a direct action of the gonadotropin and is important in the control of granulosa cell proliferation during follicular growth is unclear. The overall objective of the present study was to examine whether the FSH-induced XIAP expression and granulosa cell proliferation during follicular development is mediated by the secretion and action of intraovarian transforming growth factor alpha (TGFalpha). In rat follicles cultured for 2 and 4 days, FSH stimulated estradiol production, TGFalpha secretion, XIAP expression, and follicular growth. The theca cells are the primary follicular source of FSH-induced TGFalpha, as indicated by in situ hybridization. Intrafollicular injection of a neutralizing anti-TGFalpha antibody (50-200 ng/ml; immunoglobulin G as control) or addition of estradiol-antagonist ICI 182780 (0.5-100 nM) to the culture media suppressed FSH-induced XIAP expression and follicular growth. The effect of ICI 182780 could be partially reversed by high concentrations of estrogen (250 and 500 nM). Whereas TGFalpha (10-20 ng/ml) significantly increased granulosa cell XIAP content and proliferation in primary granulosa cell cultures, FSH alone was ineffective in eliciting the mitogenic response. Our results support the hypothesis that FSH stimulates granulosa cell proliferation via theca TGFalpha secretion and action in response to increased granulosa cell estradiol synthesis, and that XIAP up-regulation in response to FSH suppresses granulosa cell apoptosis and facilitates FSH-induced follicular growth.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".