Altered Expression of GDF9 and BMP15 Genes in Granulosa Cells of Diminished Ovarian Reserve Patients: A Case-Control Study.
Bibliographic record
Abstract
OBJECTIVE: Diminished ovarian reserve (DOR) is a challenging issue encountered during assisted reproductive technology. Growth differentiation factor 9 (GDF9) and bone morphogenetic protein 15 (BMP15) belong to the transforming growth factor-beta (TGF-β) superfamily which are essential for folliculogenesis. We aimed to the evaluation of the GDF9 and BMP15 expression in the granulosa cells (GCs) of DOR patients. MATERIALS AND METHODS: This case-control study included 14 women with DOR and 12 controls, who were between 28- 40 years of age undergoing controlled ovarian stimulation with a gonadotropin releasing hormone (GnRH) antagonist protocol. DOR patients were selected by the Bologna criteria. The GCs were extracted from the aspirated follicular fluids and RNA isolated from this. The fold change of gene expressions was assessed by real-time polymerase chain reaction (PCR). RESULTS: GDF9 expression in patients was 0.23 times lower than the control group, which was significant (P<0.0001). BMP15 expression in patients was 0.32 times lower than the control group, which was significant (P<0.0001). The number of archived oocytes, MII, and two pronuclei (PN) embryos was higher in the control group and these differences were statistically significant (P<0.05). CONCLUSION: Given that GDF9 and BMP15 are specifically involved during follicular recruitmen., we expect expression of these two genes in DOR patients which is greatly reduced by reducing follicular reserve.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".