Modification of Tryptophan and Methionine Residues Is Implicated in the Oxidative Inactivation of Surfactant Protein B
Bibliographic record
Abstract
Exposing BLES (bovine lipid extract surfactant), a clinical surfactant, to reactive oxygen species (ROS) alters surfactant protein B (SP-B), as indicated by Coomassie Blue staining, silver staining, and Western analysis. Hypochlorous acid (HOCl) treatment leads to elevated maximum surface tension (gammamax) and a deterioration in minimum gamma (gammamin) during surface area cycling. Fenton reaction resulted in immediate increases in gammamin and gammamax. Intrinsic fluorescence measurements indicated Fenton, but not HOCl, induced conversion of Trp9 of SP-B to hydroxyTrp (OHTrp), N-formylkynurenine (NFKyn), and kynurenine (Kyn). Electrospray ionization mass spectrometry (ESI-MS) revealed molecular weight alterations consistent with oxidation of Met (HOCl, Fenton) and Trp (Fenton) residues. Oxidative alterations to Met29 and Met65 (HOCl, Fenton) and to Trp9 (OHTrp with HOCL and NFKyn plus Kyn with Fenton) were confirmed by matrix-assisted laser desorption mass spectrometry (MALDI-MS) studies on SP-B tryptic fragments. Some Met oxidation was observed with control SP-B. When taken together with captive bubble tensiometer measurements, these studies suggest that Met oxidation of SP-B by HOCl or Fenton interferes with phospholipid respreading during compression-expansion of surfactant films, while Fenton oxidation, which produces more extensive Met oxidation and disruption of the indole ring of Trp9, further abrogated the ability of such films to attain low surface tensions during compression. These studies provide insight into the manner by which ROS generated during acute lung injury and the acute respiratory distress syndrome act to inhibit not only endogenous surfactant but also therapeutic surfactants administered to counteract these conditions.
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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 | 0.000 |
| 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".