HYPEROXIA INCREASES PROTEIN MASS OF 5-LIPOXYGENASE AND ITS ACTIVATING PROTEIN, FLAP, AND LEUKOTRIENE B 4 OUTPUT IN NEWBORN RAT LUNGS
Bibliographic record
Abstract
In this study, the authors examined in newborn rat lung tissues the release of leukotriene B(4) (LTB(4)) from tissue explants in vitro, the protein expression of the LT-synthesizing enzyme, 5-lipoxygenase (5-LO), and its activating protein (FLAP), and the effects of in vivo hyperoxic exposure (>95% O(2)) on these parameters. Basal LTB(4) output increased from 0.98 ng/mgDNA/30 min at day 1 to 3.3 ng/mgDNA/30 min at day 28 (P <.05). Exposure of rat pups to >95% O(2) from days 1 to 7 and 60% O(2) from days 7 to 28 stimulated a 1.6-fold (P <.05) increase in LTB(4) output, compared to normoxic pups (to 1.6 ng/mgDNA/30 min) by day 1 and on day 7. The calcium ionophore, A23187, caused an increase in LTB(4) output from both exposure groups, but LTB(4) output was consistently greater (P <.05) from hyperoxia-exposed pups. Western immunoblotting of lung tissue showed that 5-LO and FLAP protein mass increased (P <.05) from days 4 to 14. Hyperoxia exposure increased the mass of both proteins (P <.05). Immunohistochemistry localized 5-LO and FLAP mainly to alveolar macrophages on day 14, but some staining was evident in parenchymal tissue. These data show that hyperoxia increases LTB(4) output, as well as protein levels of 5-LO and FLAP, in newborn rat lungs during early postnatal life. Elevated LTB(4) may contribute to the etiology of newborn lung disease.
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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".