Interactions of thyroid hormone and FSH in the regulation of rat granulosa cell apoptosis
Bibliographic record
Abstract
Thyroid hormone (TH) is important for normal reproductive function. Our previous studies indicate that FSH increases preantral follicle growth in vitro, a response markedly enhanced by triiodothyronine (T3). However, the nature of this hormonal interaction is poorly understood. The objective of this study was to determine if and how T3 modulate FSH-induced expression and actions of granulosa cell intracellular survival and death intermediates. We investigated the possible involvement of Src and PI3K/Akt pathway in the regulation of granulosa cell survival. We demonstrated that, while ineffective alone (0.1-100 nM), T3 markedly enhanced FSH (100 ng/ml)-induced granulosa cell phospho-Src and phospho-Akt contents and Xiap expression in vitro. The effects of T3 were concentration-dependent, with maximal responses at 1.0 nM. FSH alone decreased Fas Ligand (FasL) content irrespective of the presence of T3. Co-treatment of cell with T3 and FSH decreased Fas content, although neither hormone alone elicited a significant response. Taken together, the present study demonstrates that T3 potentiates the cell survival action of FSH through Src- and PI3K-mediated Xiap up-regulation and decreased Fas and FasL expression.
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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 | 0.000 | 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) | 0.001 | 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".