Effect of GnRH Agonist (Buserelin) on Bovine Endometrial mRNA Expression of Growth Factors and Cytokines.
Bibliographic record
Abstract
Gonadotropin releasing hormone (GnRH) agonists are widely used in bovine reproductive management. Administration of GnRH agonist prior to breeding and during the luteal phase has given mixed results in terms of embryo survival and pregnancy rates. The demonstration of extra hypothalamic GnRH and GnRH-R system, in bovine reproductive tract, has led to the study of local modulatory role of this system in reproductive processes such as fertilization, early embryo development and implantation. In a recent study, we have demonstrated the presence of differential mRNA expression of luteal phase endometrial genes, associated with fertility, between dairy heifers and lactating dairy cows. In this study, we investigated the effect of a GnRH agonist (Buserelin) on the expression of FGF2, IGF1, IL1A, and TNF in the luteal phase endometrium. Endometrial explants (100mg) obtained from slaughter house reproductive tracts were cultured at 37°C in air with 5% CO2 in Dulbecco modified eagle medium containing 0.1% BSA, 100 IU/mL penicillin G and 100 µg/mL streptomycin for 20 h. Media was replaced and then treated with buserelin (0 and 200 ng/mL), GnRH antagonist- antide (500 ng/mL), and antide + buserelin (500+200 ng/mL) for further 6 h. Two µg of total RNA, extracted from treated explants, was reverse transcribed using gene-specific primers and the PCR products were electrophoresed and visualized under UV illumination. The relative mRNA levels were measured using GAPDH as the house keeping gene. GnRH agonist (buserelin) up regulated the mRNA expression of IGF1 and no effect was found on the expressions of FGF2, IL1, and TNF. GnRH antide + GnRH treatment reversed the effect of GnRH on IGF1 expression, suggesting a receptor mediated response. Further studies are warranted to confirm the functional significance of up regulation IGF1 mRNA expression on the regulation of endometrium and therefore bovine early embryo development. (poster)
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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".