Invited Review: Inflammation and Health in the Transition Period Influence Reproductive Function in Dairy Cows
Bibliographic record
Abstract
In the early postpartum period, dairy cows undergo significant adaptations in Ca and lipid metabolism, immune function, and inflammatory processes. Concurrent exposure to endotoxins from the uterus, gastrointestinal tract, or mammary gland increases the risk of disease and reproductive problems. Metabolic and inflammatory imbalances during this phase can have both immediate and long-term effects on reproductive health. Associations between metabolic disorders and reproductive outcomes are often confounded by immune activation and systemic inflammation. However, optimal markers, thresholds, and durations for identifying maladaptation and predicting adverse health or reproductive outcomes remain unclear. This narrative review examines key physiological changes during the transition period, including hypocalcemia, lipid mobilization, immune activation, systemic inflammation, and uterine disease. We discuss how these events may affect the dominant follicle, corpus luteum, oocyte, and uterus, potentially leading to prolonged anovulation, reduced estrus expression, impaired response to synchronization protocols, lower progesterone concentrations, and compromised fertility. Understanding these mechanisms will support the development of strategies to monitor, prevent, and mitigate the impacts of transition-related maladaptation on reproductive performance. Such advancements can enhance the health and fertility of high-producing dairy cows.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".