Effects of prostaglandin Dâ and the DPâ and DPâ receptors in eosinophil recruitment into the Brown Norway rat lungs
Bibliographic record
Abstract
The accumulation of eosinophils at sites of inflammation is one of the hallmarks of asthma. The aim of the present study was to investigate the involvement of PGD2 and the DP1 and DP2 receptors in eosinophil recruitment in vivo. In this project, a group of Brown Norway rats were administered intratracheally with PGD2, which activates both DP1 and DP2 receptors, as well as selective agonists of DP1 (BW245C) and DP2 (15R-methyl-PGD 2 and 13,14-dihydro-15-oxo-PGD2) receptors. In addition, we have also tested the effect of 15-deoxy-Delta12,14-PGJ 2 which known to activate PPARgamma and NF-kappaB, and DP2 receptors. Negative control animals received saline alone while positive control animals received 5-oxo-ETE. In this work, we have shown for the first time that PGD2 and selective DP2 receptor agonists induce pulmonary eosinophilia in vivo in the following order of potency; (15R-methyl-PGD 2 > PGD2 ≈ 15-deoxy-Delta12,14-PGJ 2 > dhk-PGD2). This effect was time dependent with the maximal response being observed after 24 h. Interestingly; this response was somehow diminished when higher dose was tested (10mug). This effect is most likely to be mediated solely through the DP2 receptor since this effect was not shared by the DP1 specific agonist BW245C. These results are consistent with an important role for PGD2 and the DP 2 receptor/CRTH2 in allergic diseases such as asthma and suggest that this receptor may be an important therapeutic target for 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 | 0.001 |
| 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".