Influence of arginine on enzymes related to arginine metabolism in bovine mammary epithelial cells in vitro
Bibliographic record
Abstract
Bovine mammary epithelial cells were used to evaluate the effects of different levels of Arginine (Arg) on enzymes related to Arg metabolism. A series of seven Arg concentrations in the medium as treatments were T0 (0.00 mg L −1 ) as control group, and T0.25 (69.50 mg L −1 ), T0.5 (139.00 mg L −1 ), T1 (278.00 mg L −1 ), T2 (556.00 mg L −1 ), T4 (1112.00 mg L −1 ), and T8 (2224.00 mg L −1 ) as experiment groups, respectively. The quantitative polymerase chain reaction and enzyme-linked immunosorbent assay analysis showed that the nitric oxide concentration, the expressions of endothelial nitric oxide synthase in mRNA, and enzyme level were all increased in response to enhanced Arg doses such that the T8 was the greatest group (P < 0.05). Four-fold Arg concentration improved gene expression and synthesis of arginase which then deceased when excessive Arg was supplied (P < 0.05). The expressions of ornithine aminotransferase mRNA and enzyme in T1 and T2 groups were significantly greater than that in the other groups (P < 0.05). Two-fold Arg was the optimum level for ornithine decarboxylase gene expression and enzyme synthesis among all seven treatments (P < 0.05). These somewhat various effects of Arg concentrations on four kinds of enzymes in different Arg metabolic pathways suggest that Arg might participate in regulating bovine mammary physiological function with an optimum concentration by influencing the enzymes in related metabolic pathways.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".