Strong relationships between mediators of the acute phase response and fatty liver in dairy cows
Bibliographic record
Abstract
The objective of this study was to investigate the relationship between activation of acute phase response and fatty liver in transition dairy cows. Fatty liver was induced in dairy cows by feeding 8 kg of cracked corn 1 mo before the expected day of parturition. Liver and blood samples were obtained at days -4, 3, 8, 12, 14, 22, 27, and 36 postpartum. Cows that developed fatty liver (n = 4) reached peak total lipids in the liver at day 12 postpartum with 11.4% (wet wt.) compared with 6.6% in control cows (n = 4). Cows with fatty liver had greater plasma tumor necrosis factor-alpha (TNF-α), nonesterified fatty acids (NEFA), and lower lactate concentrations than did control cows at day -4. During highest concentrations of total lipids in the liver, for at least one time-point, fatty-liver cows had greater concentrations of plasma serum amyloid A (SAA), haptoglobin, and NEFA and lower concentrations of calcitonin gene-related peptide (CGRP), prostaglandin E 2 (PGE 2 ), cortisol, and TNF-α than did control cows. Concentrations of total lipids in the liver at 12 d postpartum were correlated (a) positively with plasma TNF-α, SAA, and NEFA and negatively with plasma CGRP before calving, (b) positively with plasma SAA, haptoglobin, and NEFA and negatively with plasma PGE 2 , CGRP, total cholesterol, and glucose at days 3, 8, and 12 postpartum, and (c) negatively with concentrations of plasma glucose, lactate, and total bilirubin after day 12 postpartum. In conclusion, this study indicates that the acute phase response occurs in cows with fatty liver as well as strong relationships between mediators of immune response and fatty liver. Key words: Acute phase response, fatty liver, dairy cow
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".