Effect of coadministration of parenteral multivitamins with lipid emulsion on lung remodeling in an animal model of total parenteral nutrition
Bibliographic record
Abstract
Exposure of parenteral multivitamin solutions (MVP) to ambient light generates peroxides and vitamin loss, and induces initiation of fibrosis and a reduced alveolar count in an animal model of total parenteral nutrition (TPN). Adding MVP to the lipid moiety of TPN prevents lipid peroxidation and vitamin loss. The aim of the study was to compare modes of delivery of MVP on lung procollagen mRNA and alveolar counts. Three-day-old guinea pig pups were infused continuously with one of three intravenous solutions: 1) control = dextrose; 2) AA + MVP = MVP given with the dextrose + amino-acid moiety, in a "piggyback" setup with a lipid emulsion mixed close to the infusion site; and 3) LIP + MVP = same as AA + MVP, except that MVP is given with the lipid emulsion. After 4 days, lungs were prepared for alveolar count (intercept technique) and for quantification of the procollagen/beta-actin mRNA ratio (initial step of fibrosis). Data were compared by ANOVA. The procollagen mRNA was lower (P < 0.05) in animals receiving LIP + MVP than those with AA + MVP. But the two modes of admixture of MVP had the same effect on the alveolar counts, which were lower (P < 0.01) than controls. The mode of delivery of TPN affects lung remodeling. Although LIP + MVP protects against the initiation of lung fibrosis, the absence of a beneficial effect on alveolar counts suggests that these features of lung remodeling are not caused by a unique component of TPN. Specific roles of peroxides, components of MVP, and light exposure on lung remodeling need to be explored before LIP + MVP can be recommended as an alternative mode of parenteral vitamin delivery.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".