Effects of MP-AzeFlu enhanced by activation of bitter taste receptor TAS2R
Bibliographic record
Abstract
MP-AzeFlu is relatively new a pharmaceutical drug used in the treatment of allergic rhinitis. It is comprised of azelastine hydrochloride (AZE), a potent histamine-H1-receptor antagonist and fluticasone propionate (FP), corticosteroid. It's somewhat bitter taste (often considered a disadvantage) can be attributed to AZE. We here hypothesize that MP-AzeFlu may induce some of its beneficial effects through activation of bitter taste receptors (Tas2R), which have recently been described in human airways. In the nose Tas2Rs induce secretion of antimicrobial peptides and increase ciliary activity, while in the lung they cause airway smooth muscle relaxation. The mechanisms behind Tas2R-mediated effects are not yet fully known. In order to evaluate the role of Tas2R in the effects induced by MP-AzeFlu the dilatory response of pre-contracted isolated airways from Balb/c mice was investigated in tissue bath myographs in the presence or absence of various well-characterized pharmacological antagonists or their corresponding vehicles. MP-AzeFlu caused a potent dose-dependent relaxation of pre-contracted airways, an effect probably mediated by its AZE component. The dilatory effect of MP-AzeFlu and AZE both mimicked the response induced by the Tas2R agonist, chloroquine, but was independent of histamine receptor (H1-, H2- and H3-), prostaglandins, cAMP and cGMP involvement, all known to be common pathways for airway dilation. Other bitter-tasting antihistamines (i.e. olopatadine and desloratadine) also relaxed airway segments. These data support the notion that MP-AzeFlu has the ability to activate Tas2R in the same way as chloroquine. The effect appears to be mediated by AZE, but not via the histamine receptor. Activation of Tas2R by MP-AzeFlu may contribute to its superior efficacy over FP observed in controlled clinical trials in patients with moderate/severe allergic rhinitis.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".