Osthole attenuates asthma-induced airway epithelial cell apoptosis and inflammation by suppressing TSLP/NF-κB-mediated inhibition of Th2 differentiation
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate the influence of osthole (OS) on asthma-induced airway epithelial cell apoptosis and inflammation by restraining Th2 differentiation through suppressing TSLP/NF-κB. METHODS: An asthma mouse model and an inflammation cell model were constructed with ovalbumin (OVA) and lipopolysaccharide (LPS), respectively. CD4 + T cells were treated with IL-4 to induce Th2 differentiation. Model mice were treated with OS (15,40 mg/kg) for 7 days, and 10 µg/mL OS was added to cell treatment groups. The levels of relevant indices were detected by RT‒qPCR, HE and Masson staining, Western blotting, ELISA and flow cytometry. RESULTS: In a mouse asthma model, TSLP expression was elevated, and the NF-κB pathway was activated. Therefore, OS could restrain the apoptosis and inflammation of airway epithelial cells. Downstream mechanistic studies revealed that OS can suppress Th2 differentiation by restraining the level of TSLP and NF-κB nuclear translocation, thus facilitating the proliferation of airway epithelial cells, restraining their apoptosis and inflammation, and alleviating airway inflammation in asthmatic mice. CONCLUSION: OS can inhibit Th2 differentiation by inhibiting the TSLP and NF-κB pathways, which can reduce the apoptosis and inflammation of airway epithelial cells caused by asthma.
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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) | 0.000 | 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) | 0.000 | 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".