CPI-17 Silencing–Reduced Responsiveness in Control and TNF-α–Treated Human Bronchi
Bibliographic record
Abstract
Under pathophysiologic conditions, the modulation of Ca2+ sensitivity and reactivity of bronchial smooth muscle is controlled by protein kinase C-dependent phosphorylation of the newly described protein, CPI-17. The goal of the present study was to assess the key role of this regulatory protein in airway hyperresponsiveness (AHR) using control and TNF-alpha-treated human bronchi as well as a specific siRNA duplex against human CPI-17 transcripts. Validity of a mixed transfection strategy was assessed using the reversible permeabilization method to introduce X-TremeGene (X-TG)-siRNA complexes in an overreactive model of human bronchi treated with TNF. Data demonstrate that X-TG-siRNA complexes targeted against CPI-17 transcripts resulted in a reduction in mRNA and specific protein expression in human bronchial tissues. This approach revealed that overall reactivity of bronchial smooth muscle to methacholine was reduced, while their relaxing responses to beta2-agonist were increased, when compared with responses triggered in control TNF-alpha-treated bronchi. Quantification analysis showed that Ca2+ -sensitivity in both untreated and TNF-alpha-treated bronchi were largely reduced upon transfection with human CPI-17 siRNA-X-TremeGene complexes, while Western blot analysis corroborated the decrease in CPI-17 and MLC phosphorylation levels in pretreated human bronchi. Identical results were obtained upon treatment with an antiinflammatory eicosanoid, 14,15-EET, known to inhibit CPI-17 phosphorylation. Together these results are consistent with a key molecular role for CPI-17 in AHR, in the absence of bronchial wall remodeling.
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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 | 0.001 |
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".