Intravenous lipid composition affects hypoxic pulmonary vasoconstriction in the newborn piglet
Bibliographic record
Abstract
To examine the effects of altering the fatty acid (FA) composition of intravenous (IV) lipid emulsions on pulmonary vascular resistance (PVR) and thromboxane production, we studied three groups of newborn piglets after three days of either sow's milk (milk), or total parenteral nutrition (TPN) with either iv soy bean oil (SBO, 52% n-6 and 8% n-3 FA) or fish oil (FO, 5% n-6 and 51% n-3 FA) emulsions. At baseline, and during hypoxia at 20 min and 2 h, cardiac output (Q) was measured, PVR calculated and plasma levels of a prostacyclin metabolite (6-keto-PgF1alpha) and thromboxane B2 (TxB2) were measured. Fatty acid composition of the lung phospholipids was analyzed. There was an exaggerated increase in PVR and decrease in Q during prolonged hypoxia in the TPN-SBO group as compared with the other two groups. There was no difference in PVR and Q between the milk and TPN-FO groups. FA of lung phospholipids reflected the high dietary level of long chain n-3 FA in the TPN-FO group. However, no differences in plasma levels of 6-keto-PgF1alpha or TxB2 were found. Intravenous emulsions made from SBO reduced cardiac output and increased pulmonary vascular resistance in the hypoxic newborn piglet, whereas iv FO emulsions did not. When subjects with pulmonary hypertension are receiving TPN iv SBO may be detrimental; iv FO may be beneficial, giving similar responses as in a milk-fed subject.
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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 | 0.000 |
| 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".