Effect of Acidosis on Bilirubin-Lipid Extract Surfactant Interaction
Bibliographic record
Abstract
The risk of bilirubin toxicity in newborn infants with respiratory distress syndrome and hyperbilirubinemia may depend on many factors including pH of the system. Biophysical activity and inhibition characteristics were studied in vitro for lipid extract surfactant (Curosurf, 0.25 mg/ml phospholipids), bilirubin (1.0 mg/ml dissolved in NaOH) and mixed solutions at different pH ranging from 5.0 to 7.4. It was found that unconjugated bilirubin modifies surface tension behavior of lipid extract surfactant films. Maximum and minimum surface tension levels were significantly higher in mixed solutions compared to experiments using pure Curosurf independently from pH. Film area compression for pure Curosurf was not influenced by pH and varied between 22 +/- 4% at pH 5.0 and 23 +/- 9% at pH 7.4. Adding bilirubin to lipid extract surfactant, area compression to achieve minimum surface tension increased significantly to 83 +/- 4% at pH 5.0 and 85 +/- 4% at pH 7.4 (p < 0.01). Bilirubin alone showed negligible surface activity independently from pH (83 +/- 7% at pH 5.0 and 78 +/- 9% at pH 7.4) (p > 0.5). We conclude that bilirubin has a detrimental effect on the surface tension properties of lipid extract surfactant in vitro and that this interaction is independent from pH. These data suggest no influence of acidosis on alveolar surfactant system in babies with respiratory distress syndrome and hyperbilirubinemia.
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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 | 0.001 |
| 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 | 0.000 |
| 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".