Estrogen and progesterone endometrial cell receptors in cows with subclinical endometritis
Bibliographic record
Abstract
Pathological processes that strongly affect the uterine endometrium lead to infertility and abortion. The most common of these pathologies are clinical and subclinical endometritis. Subclinical endometritis is characterized by endometrial inflammation in the absence of clinical signs of endometritis. In this study, we used uterine samples obtained from Ukrainian black-and-white dairy cows aged 4 to 7 years to compare the histology of the uterine endometrium and changes in estrogen-α (ER-α), estrogen-β (ER-β) and progesterone (PgR) nuclear receptor sensitivity in cows with subclinical endometritis. Cows were separated based on cytological examination of the endometrium into a healthy group, or those presenting with subclinical endometritis. From these groups endometrial and epithelial tissue samples were obtained using biopsy forceps and an endoscope then analyzed using immunohistochemistry. Our results demonstrate that the sensitivity of ER-α and ER-β is lower while PgR sensitivity is elevated in cows with subclinical endometritis compared to the healthy control group. Additionally, we observed markedly altered histological changes characterized by enlargement of uterine glands, epithelial desquamation, and infiltration of leukocytes. These results suggest that there are significant changes in the endometrium linked to the sensitivity of nuclear steroid hormone receptors that may also play an immunoregulatory role in cows with subclinical endometriosis. While the interaction of steroid hormones and immunoregulation in the uterus remains to be elucidated, it may provide key insights into the uterine immune response.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| 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".