Effects of Arginine on Pancreatic Hormones and Hepatic Metabolism in Rainbow Trout
Bibliographic record
Abstract
Arginine (Arg), injected intraperitoneally into rainbow trout (Oncorhynchus mykiss), increases plasma concentrations of glucagon, glucagon-like peptide-1 (GLP-1), and insulin by three- to 10-fold. Resulting ratios of glucagon and GLP-1 over insulin are unchanged in 20-d food-deprived fish (saline, 1.28 vs. Arg, 0.93; not significant) while slightly increased in feeding trout (saline, 0.70 vs. Arg, 0.92; P<0.05). In food-deprived juveniles, Arg injection leads to significant decreases in plasma fatty acids (saline, 1.65 mM L(-1) vs. Arg, 1.09 mM L(-1); P<0.05) and increases in glycogen phosphorylase total activity (saline, 3.7 units g(-1) vs. Arg, 4.6 units g(-1); P<0.05) and degree of phosphorylation (saline, 1.7 units g(-1) vs. Arg, 2.33 units g(-1); P<0.05). Plasma and liver glucose and liver enzymes (glucose-6-phosphate dehydrogenase, 6-phosphogluconate dehydrogenase, pyruvate kinase, phosphoenolpyruvate carboxykinase, lactate dehydrogenase, and malic enzyme) are unaffected. Otherwise, fish show the changes in plasma metabolites expected with food deprivation. Arg injection into feeding fish results in decreases in plasma fatty acids, liver glycogen, and glucose, while liver glucose 6-phosphate concentrations increase. Hepatocytes isolated from feeding fish injected with Arg 2 h previously show significantly lower rates of lactate oxidation than controls (85% of control), while rates of gluconeogenesis and hormonal responses to mammalian glucagon and GLP-1 remain unchanged. Rates of lactate oxidation and gluconeogenesis are significantly decreased by 5%-10% on treatment with porcine insulin. Complete immunoneutralization of insulin with rabbit antisalmon insulin serum decreases hepatic glucose 6-phosphate concentrations and abolishes the Arg-dependent effects on glycogen phosphorylase. It appears that short-term increases in pancreatic hormones cause only minor metabolic readjustments in the relatively short time frame covered in these experiments. Surprisingly, complete removal of insulin does not have immediate altering or detrimental effects on key metabolites and metabolic pathways, even if glucagon and GLP-1 concentrations are concurrently several-fold higher than usual. Our data clearly show the dual role of Arg in fish metabolism.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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".