Growth Differentiation Factor 9 Reverses Activin A Suppression of Steroidogenic Acute Regulatory Protein Expression and Progesterone Production in Human Granulosa-Lutein Cells
Bibliographic record
Abstract
BACKGROUND: We have reported that growth differentiation factor 9 (GDF9) can enhance activin A (β(A)β(A))-induced inhibin B (αβ(B)) secretion in human granulosa-lutein (hGL) cells, but its effects on steroidogenic acute regulatory protein (StAR), ovarian steroidogenic enzymes, and progesterone production are unknown. We undertook this study to further evaluate GDF9 in this regard. METHODS: hGL cells from women undergoing in vitro fertilization treatment were cultured with and without small interfering RNA (siRNA) transfection targeted at inhibin α-subunit or GDF9 before treatment with GDF9, activin A, FSH, or combinations. We compared StAR, P450 side-chain cleavage enzyme, and 3β-hydroxysteroid dehydrogenase expression in hGL cells and progesterone levels in culture media after these treatments. mRNA, protein, and hormone levels were assessed with real-time RT-PCR, immunoblotting, and ELISA, respectively. Data were analyzed by ANOVA followed by Tukey's test. RESULTS: Activin A alone reduced basal and FSH-induced progesterone production by decreasing the expression of StAR protein, which regulates the rate-limiting step in steroidogenesis but not P450 side-chain cleavage enzyme and 3β-hydroxysteroid dehydrogenase. GDF9 attenuated these activin A effects on StAR and progesterone. After transfection of α-subunit siRNA, activin A level increased (P < 0.001), whereas basal and activin A-induced inhibin B levels (with and without GDF9) decreased. Furthermore, the effects of GDF9 in reversing activin A suppression of progesterone production were attenuated (P < 0.001). Transfection of GDF9 siRNA decreased GDF9 as expected and led to lower StAR expression and progesterone secretion than those observed with activin A treatment alone. CONCLUSION: GDF9 attenuates the suppressive effects of activin A on StAR expression and progesterone production by increasing the expression of inhibin B, which acts as an activin A competitor.
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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".