Postpartum Uterine Involution in Cows: Quantitative Assessment of Structural Remodeling and Immune Cell Infiltration
Bibliographic record
Abstract
Postpartum uterine involution in cattle involves complex morphological and immunological changes essential for restoring uterine health and fertility. This study evaluated endometrial biopsies collected at four postpartum time points to characterize tissue remodeling and immune cell dynamics during involution. Histology revealed intact luminal columnar epithelium in 92.98% of samples, with stable stromal architecture. Stromal edema decreased by Day 7 but increased again by Day 35, while endometrial gland numbers significantly rose at Day 35, suggesting glandular recovery linked to resumed cyclicity. Subepithelial collagen deposition peaked on Day 21, indicating active extracellular matrix remodeling. Immunologically, early postpartum was marked by increased PMNs and macrophages, whereas Day 21 showed peak infiltration of natural killer (NK) cells and T and B lymphocytes, sometimes forming lymphoid aggregates. Manual and automated immune cell quantifications correlated well. These findings demonstrate a dynamic shift from acute neutrophil-dominated inflammation to a lymphocyte-rich environment during uterine involution. This immune modulation may contribute to the earlier diagnosis of subclinical endometritis, typically identified at later stages of postpartum period. Overall, this study provides insight into the temporal immunomorphological events supporting uterine recovery, with potential implications for reproductive management in dairy cattle.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".