Specific blockade of protein kinase C (PKC)-theta with a small molecule antagonist attenuates lung inflammation in a mouse model of established allergic airway disease (140.21)
Bibliographic record
Abstract
Abstract PKCθ is primarily expressed in T cells and is recruited to the immunological synapse upon T cell receptor signaling. PKCθ deficient mice display a diminished pulmonary inflammatory response following allergen challenge. We investigated the allergic airway response in mice when PKCθ is specifically blocked with a small molecule inhibitor (compound A). Mice were sensitized with ovalbumin (OVA) in alum on days 0 and 14, then challenged with OVA on days 26, 27, and 28 (primary challenges). Four weeks later mice were aerosolized once with OVA (rechallenge). Airway inflammation was monitored after both primary challenges and rechallenge. Compound A was dosed 30 mg/kg intraperitoneally twice daily in 3 dosing regimens: for 4 days concurrent with and after the primary challenges only; for 3 days starting before the OVA rechallenge only; and both of the above regimens. Administration of compound A significantly inhibited the influx of eosinophils, lymphocytes and neutrophils into the airways. Ex vivo antigen induced Th2 cytokine production by splenocytes was also reduced in cells obtained from mice treated with Compound A in either the primary challenge phase, or both primary and rechallenge phases, but not the rechallenge phase alone. We conclude that blocking T cell activation with a PKCθ inhibitor may attenuate airway inflammation in established allergic disease and may be beneficial in treating chronic allergic asthma.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".