Montelukast regulation of cysteinyl leukotriene release by blood eosinophils
Bibliographic record
Abstract
Cysteinyl leukotrienes (CysLT) (LTC4, LTD4 and LTE4) play major roles in asthma pathogenesis. Asthma is characterized by leukocyte infiltration in the bronchial mucosa, notably eosinophils (Eo), which are a main source of CysLT. Montelukast (MTK), a CysLT receptor antagonist used in the treatment of asthma, diminishes the inflammation caused by CysLT. In this study, we evaluated the effect of MTK on the calcium ionophore (A23187)‐induced LTC4 release in isolated Eo. Asthmatics' blood Eo (n = 4) were incubated with either MTK, the 5‐lipoxygenase‐activating‐protein antagonist MK‐0591, or Pertussis toxin (PTX), which inactivates Gαi‐proteins, putatively coupled to CysLT receptor. Eo were then stimulated with A23187 (100 nM). LTC4 levels were determined in cell‐free supernatants by enzyme‐linked immunoassay. MTK decreased LTC4 release by 10 to 80% in a dose‐dependent manner. This effect was significant at 1 and 10 μM (p<0.001). MK‐0591 (10 nM), used as positive control, decreased LTC4 release by 92% (p=0.01). PTX (25 ng/ml) decreased the LTC4 release by 30% (p=0.03); such an effect was not sufficient to support an inhibition of LTC4 autocrine stimulation by MTK. These data suggest that MTK decreases LTC4 release by a mechanism unrelated to CysLT receptor blockade. The molecular target involved in this inhibitory effect of MTK on LTC4 release remains to be unraveled.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".