Proceedings of the Canadian society of allergy and clinical immunology annual scientific meeting 2015
Bibliographic record
Abstract
Background: Allergic rhinitis is a major risk factor for asthma development.Lower airway inflammation and remodeling have been observed in allergic rhinitis subjects without asthma.Tissue repair processes involve the production of extracellular matrix, in which fibroblasts play a major role.These cells originate from bone marrow progenitors called fibrocytes.The number of fibrocytes is increased in asthmatics following allergen exposure.In allergic rhinitis, allergen-induced inflammation has been widely observed, but studies on allergen-induced lower airway remodeling are still limited.The aim of this study is to determine the effect of seasonal allergen exposure on the profile of fibrocytes isolated from blood of allergic rhinitis subjects without asthma.Methods: Non asthmatic subjects with seasonal allergic rhinitis were recruited.At baseline (out of the pollen season), medical history, skin prick tests, spirometry, methacholine bronchoprovocation, blood sampling and sputum induction were performed.At the peak of rhinitis symptoms, the tests were repeated.Fibrocytes number and level of activation were determined in whole blood.Cells were stained for fibrocyte markers (CD34, CD45, CXCR4, collagen I) and analyzed by flow cytometry.Results: Thirty subjects (18F:12M) aged 28 ± 8 years were recruited.Among the 12 subjects that completed the study yet, there were 12.2 ± 7.9 % of fibrocytes at baseline, whereas there were 7.1 ± 3.6 % of fibrocytes during the pollen season.Mean fluorescence of CXCR4 was 1614 ± 646 (arbitrary units) at baseline and 1805 ± 770 during the pollen season.Conclusion: The observed decrease in fibrocytes during allergy season may indicate an active migration of these cells from the periphery to the airways.A change in the number and profile of fibrocytes during natural seasonal exposure in non-asthmatic rhinitic subjects may help direct further studies looking at future outcome of these patients to develop a predictor of asthma onset.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.164 | 0.068 |
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".