Correlation between in vitro maturation and expression of LH receptor in cumulus cells of the oocytes collected from PCOS patients in HCG-primed IVM cycles
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to investigate whether in vitro maturation (IVM) and blastocyst development of oocytes collected following HCG-primed IVM cycles of PCOS patients are correlated with their cumulus cell (CC) patterns and further to investigate mRNA expression of the receptors for FSH, LH and epidermal growth factor (EGF) in the CCs with each pattern. METHODS: Patients who underwent IVM were primed with 10,000 IU of HCG 36 h before oocyte aspiration. The isolated cumulus-oocyte complexes were divided into three groups according to the CC patterns: oocytes with dispersed CCs (group A), oocytes with compacted CCs (group B) and oocytes with sparse CCs (group C). Oocyte maturation and blastocyst development were compared among three groups. The expression of the mRNA for FSH, LH and EGF receptors in group A and B was analysed by semi-quantitative RT-PCR. RESULTS: The maturation rate of group A was significantly higher than those of group B and C. The rate of blastocysts in group A was significantly higher than those of group B and C. mRNA expression of the LH receptor in group A was more abundant than that of group B. CONCLUSIONS: These results suggest that the presence of dispersed CCs at oocyte collection may be positively correlated with the rates of oocyte maturation and blastocysts in HCG-primed IVM cycles. In addition, the expression of LH receptor in CCs may be correlated with the CC pattern of oocytes at collection.
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 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 | 0.000 | 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".