The Novel Lipid Emulsion Vegaven Is Well Tolerated and Elicits Distinct Biological Actions Compared With a Mixed-Oil Lipid Emulsion Containing Fish Oil: A Parenteral Nutrition Trial in Piglets
Bibliographic record
Abstract
BACKGROUND: Vegaven is a novel lipid emulsion for parenteral nutrition (PN) based on 18-carbon n-3 (ω-3) fatty acids, which elicits liver protection via interleukin-10 (IL-10) in the murine model of PN. OBJECTIVES: In a preclinical model of PN in neonatal piglets, Vegaven was tested for efficacy and safety and compared with a mixed-oil lipid emulsion containing fish oil (SMOFlipid). METHODS: Male piglets 4-5 d old were randomly allocated to isocaloric isonitrogenous PN for 14 d, which varied only by the type of lipid emulsion (Vegaven, n = 8; SMOFlipid, n = 8). Hepatic IL-10 tissue concentration served as primary outcome. Secondary outcomes were organ weights, bile flow, blood analyses, plasma insulin and glucagon concentrations, insulin signaling, proinflammatory cytokines, tissue lipopolysaccharide concentrations, and fatty acid composition of phospholipid fractions in plasma, liver, and brain. RESULTS: Total weight gain on trial, organ weights, and bile flow were similar between the Vegaven and the SMOFlipid group. Vegaven elicited higher hepatic IL10 (Δ = 148 pg/mg protein; P < 0.001) and insulin receptor substrate-2 amounts (Δ = 0.08 OD; P = 0.012). Plasma insulin concentrations (Δ = 1.46 mU/L; P = 0.003) and fructosamine (glycated albumin, Δ = 12.4 μmol/g protein; P = 0.003) were increased in SMOFlipid as compared with those of Vegaven group, indicating insulin resistance. Higher hepatic injury markers were observed more frequently in the SMOFlipid group than those in the Vegaven group. Lipopolysaccharide, tumor necrosis factor-α, and IL-6 concentrations increased in pancreatic and brain tissues of SMOFlipid-treated compared with those in the Vegaven-treated piglets. Insulin signaling reduced in the brains of SMOFlipid-treated piglets. Vegaven and SMOFlipid elicited distinct fatty acid profiles in the phospholipid fractions of the rapidly growing brains but showed similar accretion of docosahexaenoic acid and arachidonic acid after 2 wk of PN. CONCLUSIONS: Vegaven is well tolerated in this piglet model of PN, demonstrating distinct biological actions compared with SMOFlipid, namely lower liver, pancreas, and brain inflammation, enhanced insulin signaling, and improved whole body glucose control.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".