Interactions of Metabolism, Inflammation, and Reproductive Tract Health in the Postpartum Period in Dairy Cattle
Bibliographic record
Abstract
This paper reviews recent data and concepts on the development of inflammation in the reproductive tract of dairy cows during the first 2 months after calving. The incidence of metritis is typically 10-20%, with 5-15% of cows having purulent vaginal discharge (PVD), 15-40% having cervicitis approximately 1 month after calving, and 10-30% having cytological endometritis between 1 and 2 months after calving. Endometritis, cervicitis and PVD are distinct conditions, each of which is associated with significantly increased time to pregnancy, and affected cows often have more than one of these conditions. Cumulatively, 35-50% of cows have at least one form of pathological reproductive tract inflammation between 3 and 7 weeks postpartum. It is hypothesized that reproductive tract disease represents a failure of the immune system to switch fast enough or far enough from the down-regulated state necessary for maintenance of pregnancy to a heightened state of function for postpartum clearance of bacteria and tissue debris and then to a 'quiet' state 3-4 weeks later. There are numerous links between fat metabolism, inflammation and immune function, and changes in these precede reproductive tract disease by several weeks. An excessive pro-inflammatory state early in the postpartum period appears to be a key feature of cows with endometritis approximately 1 month later. Generally, worse postpartum negative energy balance (NEB) is associated with more severe or prolonged uterine inflammation. Aspects of both mononuclear cell proliferation and neutrophil oxidative burst are commonly impaired, particularly in association with elevated non-esterified fatty acid concentrations and to a lesser degree by ketosis. In summary, NEB contributes to immune dysfunction which in turn is a major component of reproductive tract inflammatory disease. The factors that initiate and sustain harmful inflammation of the reproductive tract are not yet well quantified.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".