Oxidative Stress Stimulates the Synthesis of the Eosinophil Chemoattractant 5-Oxo-6,8,11,14-eicosatetraenoic Acid by Inflammatory Cells
Bibliographic record
Abstract
5-Oxo-ETE (5-oxo-6,8,11,14-eicosatetraenoic acid) is a highly potent granulocyte chemoattractant that acts through a selective G-protein coupled receptor. It is formed by oxidation of the 5-lipoxygenase product 5-HETE (5S-hydroxy-6,8,11,14-eicosatetraenoic acid) by 5-hydroxyeicosanoid dehydrogenase (5-HEDH). Although leukocytes and platelets display high microsomal 5-HEDH activity, unstimulated intact cells do not convert 5-HETE to appreciable amounts of 5-oxo-ETE. To attempt to resolve this dilemma we explored the possibility that 5-oxo-ETE synthesis could be enhanced by oxidative stress. We found that hydrogen peroxide and t-butyl hydroperoxide strongly stimulate 5-oxo-ETE formation by U937 monocytic cells. This was dependent on the GSH redox cycle, as it was blocked by depletion of GSH or inhibition of glutathione reductase and mimicked by oxidation of GSH to GSSG by diamide. Glucose inhibited the response to H2O2 through its metabolism by the pentose phosphate pathway, as its effect was reversed by the glucose-6-phosphate dehydrogenase inhibitor dehydroepiandrosterone. 5-Oxo-ETE synthesis was also strongly stimulated by hydroperoxides in blood monocytes, lymphocytes, and platelets, but not neutrophils. Unlike monocytic cells, lymphocytes and platelets were resistant to the inhibitory effects of glucose. 5-Oxo-ETE synthesis following incubation of peripheral blood mononuclear cells with arachidonic acid and calcium ionophore was also strongly enhanced by t-butyl hydroperoxide. Oxidative stress could act by depleting NADPH, resulting in the formation NADP+, the cofactor for 5-HEDH. This is opposed by the pentose phosphate pathway, which converts NADP+ back to NADPH. Oxidative stress could be an important mechanism for stimulating 5-oxo-ETE production in inflammation, promoting further infiltration of granulocytes into inflammatory sites.
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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) | 0.001 | 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) | 0.002 | 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".