Abstracts from the Conjoint Annual Meeting of L’Association des Pneumologues de la Province de Québec and le Réseau en santé Respiratoire du FRSQ
Bibliographic record
Abstract
Background: In asthma, CD4 + T cells are selectively recruited into the bronchial mucosa.CD4 + T cells consist of different subsets that express lineage-specific transcription factors and play different roles either in initiating and supporting the development of immune response, but also in orchestrating and regulating them.oBjectives: The aim of our study was to evaluate the effect of T cellsbronchial fibroblasts interaction on CD4 + T cell phenotype.Methods: Human bronchial fibroblasts were isolated from mild steroid naïve asthmatics and nonatopic healthy controls.CD4 + T cells were purified from the peripheral blood of healthy and asthmatic subjects.Co-culture of confluent healthy (HF) or asthmatic bronchial fibroblasts (AF) with T cells were performed.CD4 + T cell total RNA was purified and GATA-3, Foxp3 and RORc expression was detected by quantitative PCR.Th17 (IL-17,IL-22) lineage-specific cytokines profile were also evaluated.results: Co-culture of T cells with bronchial fibroblasts significantly stimulated RORc in asthmatic T cells only, whereas Foxp3 and GATA-3 were not affected in both asthmatic and healthy T cells.IL-6 and IL-23 expression either by AF and HF were also significantly increased by the coculture when, TGF-β expression was not affected.In CD4 + T cells, IL-17 and IL-22, Th17 lineage-specific cytokines were significantly increased by the coculture with AF. conclusion: Interaction between bronchial fibroblasts and T cells seems to specifically promote Th17 cells profile in asthma.These results suggest that cellular interactions particularly between T cells and fibroblasts may play a pivotal role in the regulation of the inflammatory response in 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".