Protein Tyrosine Phosphatases inhibition during allergen sensitization or allergen challenge prevents asthma development
Bibliographic record
Abstract
Protein tyrosine kinases (PTKs) are crucial in the initiation of intracellular signalling events. Consequently, their activity is necessary for asthma development in mouse models. The role of PTK's counterparts, the protein tyrosine phosphatases (PTPs), was never carefully investigated. Interestingly, some of our previous results suggested that inhibition of PTPs favours a Th1 immune response. In the present study, we hypothesized that global inhibition of PTPs using peroxovanadiums during either allergen sensitization or allergen challenge could prevent asthma development. Our results show that inhibition during allergen sensitization reduced serum IgE levels, reduced lung eosinophilia and prevented development of airway hyperresponsiveness (AHR). Inhibition during lung allergen challenge resulted in similar data: decrease lung eosinophilia, and prevention of AHR, while serum IgE levels were unaffected. Peroxovanadium injection supported the expression of Th1 cytokines in the spleen and inhibited Th2 type cytokines expression, providing a mode of action for this inhibitor. Our results are the first demonstration of the necessity of functional PTP activity for allergic asthma development in both sensitization and allergen challenge phases. These data open the possibility for new therapeutic approaches aiming at specific PTPs. Support for this study was provided by the CIHR.
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) | 0.001 | 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 | 0.001 |
| 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".