Novel aspects of eicosanoid signaling through the use of gene-targeted mice
Bibliographic record
Abstract
Eicosanoids are lipid mediators consisting of prostaglandins, leukotrienes, lipoxins and related compounds derived primarily from arachidonic acid and to a lesser extent from eicosapentaenoic and di-homo-gammalinolenic acids. This large class of bioactive lipids is derived from the initial release of polyunsaturated fatty acid from the sn2 position of glycerophospholipids predominantly from cytosolic phospholipase A2 and subsequent conversion by either prostaglandin H synthases-1 and -2 (PGHS-1, PGHS-2; also known as COX- 1, COX-2), lipoxygenases or various members of the cytochrome P450 family. Eicosanoids control a vast array of physiological functions, including female reproductive function and parturition, platelet aggregation and vascular homeostasis, as well as renal function and roles in inflammation initiation and resolution. The authors have been studying the functions and signaling of eicosanoids, in particular the prostaglandin class of molecules, using a series of induced mutant mouse strains created in the laboratory by manipulation of the PGHS-1 and PGHS-2 genes by gene targeting in embryonic stem cells. The two strains of mice most fully characterized to date are referred to as ‘‘low-dose aspirin genetic mimic’’ or PGHS-1 knockdown and ‘‘selective COX-2 inhibitor genetic mimic’’ or PGHS-2 Y385F. This brief review describes the utility of these mouse models for unraveling new insights into eicosanoid signaling. Keywords: aspirin; cardiovascular; coxib; inflammation; prostaglandin
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".