Dual 12/15- and 5-Lipoxygenase Deficiency in Macrophages Alters Arachidonic Acid Metabolism and Attenuates Peritonitis and Atherosclerosis in ApoE Knock-out Mice
Bibliographic record
Abstract
Lipoxygenase (LO) enzymes catalyze the conversion of arachidonic acid (AA) into biologically active lipid mediators. Two members, 12/15-LO and 5-LO, regulate inflammatory responses and have been studied for their roles in atherogenesis. Both 12/15-LO and 5-LO inhibitors have been suggested as potential therapy to limit the development of atherosclerotic lesions. Here we used a genetic strategy to disrupt both 12/15-LO and 5-LO on an apolipoprotein E (apoE) atherosclerosis-susceptible background to study the impact of dual LO blockade in atherosclerosis and inflammation. Resident peritoneal macrophages are the major cell type that expresses both LO enzymes, and we verified their absence in dual LO-deficient mice. Examination of AA conversion by phorbol myristate acetate-primed and A23187-challenged macrophages from dual LO-deficient mice revealed extensive accumulation of AA with virtually no diversion into the most common cyclooxygenase (COX) products measured (prostaglandin E2 and thromboxane B2). Instead the COX-1 by-products 11-hydroxy-eicosatetraenoic acid (HETE) and 15-HETE were elevated. The interrelationship between the two LO pathways in combination with COX-1 inhibition (SC-560) also revealed striking patterns of unique substrate utilization. 5-LO- and dual LO-deficient mice exhibited an attenuated response to zymosan-induced peritoneal inflammation, emphasizing roles for 5-LO in regulating vascular permeability. We observed gender-specific attenuation of atheroma formation at 6 months of age at both the aortic root and throughout the entire aorta in chow-fed female dual LO-deficient mice. We propose that some of the inconsistent data obtained with single LO-deficient mice could be attributable to macrophage-specific patterns of altered AA metabolism.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".