Analysis of apoptosis levels and MMP7 gene expression in ovaries of postpartum female rabbits after long-term use of LHRH-A3
Bibliographic record
Abstract
Luteinizing hormone-releasing hormone A3 (LHRH-A3), a reproductive hormone analog, is widely used to stimulate ovulation in female rabbits. However, the long-term impact of sustained LHRH-A3 administration on the reproductive system, particularly ovarian health, remains unclear. In this study, we compared apoptosis levels in ovaries and molecular regulation between LHRH-A3-treated (A3 group) and untreated female rabbits (N group) after their 5th litter. Western blotting showed a significantly lower Bcl-2/Bax ratio in the A3 group compared with the N group ( P < 0.01), indicating higher ovarian apoptosis. Ovarian tissues from four rabbits per group were divided into the A3 group and the N group, and RNA-seq technology was then utilized to conduct transcriptome analysis on these two groups. This analysis revealed 220 differentially expressed genes (DEGs), including BMP6, BMP15, CYP1A1, and other reproductive-related genes. KEGG analysis of these DEGs showed their involvement in processes such as the cell cycle, PI3K-Akt signaling pathway, and ovarian steroidogenesis. Subsequently, we selected the key gene Matrix metallopeptidase 7 ( MMP7) for functional analysis using CCK8 and Annexin V-FITC/PI techniques. MMP7 was found to promote the proliferation of granulosa cells (GCs) and inhibit apoptosis ( P < 0.01). In conclusion, LHRH-A3 treatment can modulate ovarian molecular regulation, with the key gene MMP7 involved in the proliferation and apoptosis of GCs.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".