New insights into the importance of prolactin in dairy ruminants
Bibliographic record
Abstract
In most mammals, prolactin (PRL) is essential for maintaining lactation, and the suppression of PRL inhibits lactation. However, the involvement of PRL in the control of ruminant lactation is less clear, because inconsistent effects on milk yield have been observed with the short-term suppression of PRL by bromocriptine. Therefore, several experiments have been conducted to assess the galactopoietic role of PRL. In an initial experiment, cows in early lactation received daily injections of the dopamine agonist quinagolide for 9 wk. Quinagolide reduced milking-induced PRL release and caused a faster decline in milk production. Quinagolide also reduced mammary epithelial cell activity, survival, and proliferation. In goats, cabergoline, another dopamine agonist, caused a 28% decrease in milk yield the day after injection. In another experiment, cows were injected for 5d with quinagolide, with quinagolide plus bovine PRL injected at milking time, or with vehicles only. Again, quinagolide reduced milk, protein, and lactose yields. Although PRL injections were not sufficient to restore milk yield, they tended to increase milk protein and lactose yields and increased the viability of mammary epithelial cells purified from milk. Recently, our team stimulated PRL secretion with daily injections of the dopamine antagonist domperidone for 5 wk. Milk production increased gradually and was greater in domperidone-treated cows during the last 4 wk of the treatment period. In most experiments where PRL secretion was manipulated, feed intake paralleled the changes of PRL concentration, supporting the idea that PRL increases feed intake to provide the nutrients necessary to support lactation in dairy ruminants. In late-lactation cows, quinagolide and cabergoline decreased milk production within the first day of treatment and induced more rapid changes in several markers of mammary gland involution after drying-off. In addition, quinagolide improved the resistance to intramammary infection, suggesting that PRL inhibition could be an alternative strategy for facilitating drying-off. Prolactin appears to directly affect mammary gland functions, but mammary gland responsiveness to PRL appears to be modulated by local and systemic factors. Therefore, the modulation of the number and isoforms of the PRL receptors as well as the expression of intracellular modulators of cell signaling in the mammary gland require further investigation. In conclusion, these data, combined with those from other studies, provide a good body of evidence that PRL is galactopoietic in dairy ruminants.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".