Expression and regulation of<scp>CCL</scp>15 by human airway smooth muscle cells
Bibliographic record
Abstract
BACKGROUND: Structural cells are an important reservoir of chemokines that coordinate the influx of various immune cells to the lungs of asthmatics. Airway smooth muscle cells (ASMC) are an important source of these chemokines. CCL15 is a recently described chemo-attractant for neutrophils, eosinophils, monocytes and lymphocytes. OBJECTIVE: To determine the production and the regulation of CCL15 by ASMC and to investigate its production in asthmatic airways. METHODS: Human ASMC were obtained from main bronchial airway segments of patients with mild, moderate and severe asthma. To induce chemokine production, cells were incubated with IL-4, IL-13, TNF-α or IFN-γ in presence or absence of dexamethasone, mithramycin A (SP-1 inhibitor) or the IKK-2 inhibitor, AS602868. CCL15 mRNA expression was evaluated by real-time PCR. Immunoreactive CCL15 was detected by immuno-fluorescence and CCL15 protein concentration in the supernatant was measured using ELISA. RESULTS: CCL15 is constitutively expressed in human ASMC and is strongly up-regulated by TNF-α. This up-regulation is inhibited by dexamethasone, mithramycin A and AS602868. TNF-α-induced CCL15 levels can be synergistically enhanced by the presence of IFN-γ, at both the transcriptional and translation level. This synergism is NF-κB-dependent. Asthmatic biopsies demonstrated higher expression of CCL15 compared with non-asthmatic controls. CONCLUSION AND CLINICAL RELEVANCE: Our results show that ASMC are a potent source of CCL15 in the airways and may directly participate in the recruitment of inflammatory cells to asthmatic airways. Targeting the production of CCL15 by ASMC might reduce the inflammatory response within the airways of asthmatic patients.
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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) | 0.001 | 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 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".