Parenteral Nutrition With the Novel Lipid Emulsion Vegaven® Containing C-18n3 Fatty Acids Is Safe in Piglets and Confirms Superior Biological Actions Compared to SMOFlipid®
Bibliographic record
Abstract
Objectives: Despite newer mixed-oil parenteral lipid emulsions that contain added C-20/22n3 fatty acids derived from fish oil, inflammation and its complications remain a concern for patients dependent on parenteral nutrition (PN). We developed a novel C-18n3 fatty acid containing mixed-oil lipid emulsion (Vegaven®, VV) [1]. In PN-fed mice, we compared VV to current lipid emulsions, including Intralipid®, Omegaven®, and the mixed-oil lipid emulsion SMOFLipid® (SL). VV had superior liver protection, metabolic and immune-enhancing effects. We have now evaluated the efficacy and safety of VV in PN-fed neonatal piglets, a highly relevant preclinical model. Methods: 5-6-day-old piglets were given isocaloric isonitrogenous PN solutions that varied only by lipid emulsion (VV, n=8; SL, n=8) for 14 days. The administered lipid dose (10g/kg/day) translates to 2g/kg/d in PN-fed infants. Sow-reared piglets served as controls (CTL). Total body and organ weights, liver bile flow, blood chemistry, plasma insulin levels (day 14), and liver tissue Interleukin-10 (IL10) levels (day 14) were measured. Data is presented as mean±SEM, comparisons used ANOVA. Results: Piglet daily health evaluations, total weight gain on trial, organ weights, bile flow and blood chemistry were not different comparing VV with SL (p >0.05). Plasma insulin levels (mU/L) were increased for SL (hyperinsulinemia, insulin resistance) compared with VV (3.77±0.35 vs 2.31±0.15, p=0.04), and higher than CTL (1.58±0.04, p< 0.001), with no difference between VV and CTL (2.31±0.15 vs 1.58±0.04, p=0.27). IL10 levels in liver tissue (pg/mg) were highest in CTL (733±52, p< 0.001) and higher for VV compared with SL (466±23 vs 318±26, p=0.004). Conclusions: Consistent with our prior findings in mice, VV demonstrated superior biological actions to SL in piglets, reversing insulin resistance and reducing liver inflammation. In this piglet model, VV was proven to be safe and effective, equivalent to the currently FDA approved mixed-oil lipid emulsion SL. Disclosure: EP 21/204659.3 (patent application) References: [1] Lucchinetti et al. Am J Clin Nutr. 2022;116(6):1805-1819. doi: 10.1093/ajcn/nqac272. PMID: 36166844. Funding Sources: Canadian Institutes of Health Research (CIHR).
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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) | 0.001 | 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 | 0.001 | 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".