Th2 cell markers in peripheral blood increase during an acute asthma exacerbation
Bibliographic record
Abstract
Abstract Background Allergic asthma is characterized by type 2 inflammation. We have shown the presence of increased type 2 inflammation in patients with severe asthma and those with frequent exacerbations. However, it is not known whether increased type 2 inflammation drives asthma exacerbations. This study aims to determine Th2 immune parameters in patients presenting to the emergency department (ED) with an acute asthma exacerbation and correlate these parameters with clinical and physiological measures of asthma. Methods Sixteen adults presenting to the ED with acute asthma exacerbations were recruited after giving informed consent. Ten patients returned 2 weeks later for follow‐up. Physiological parameters, asthma control (ACQ6), asthma quality of life (AQLQ) questionnaires, and venous blood were collected during both visits. An immune cell profiling was performed by whole blood flow cytometry: CD4 + T cells, Th2 cells (CD4 + CRTh2 + T cells and % of CD4 + T cells expressing CRTh2), eosinophils and innate lymphoid cells (ILC2). Results During exacerbation, peripheral blood Th2 cell numbers correlated with ACQ6 and AQLQ scores, while ILC2 and eosinophil numbers did not. Subjects had higher % of CD4 + T cells expressing CRTh2 and worse FEV 1 during exacerbation compared with the follow‐up. The decrease in the % of CD4 + T cells expressing CRTh2 seen during the follow‐up visit correlated with the improvement in lung function. Conclusions These data suggest that Th2 cells in peripheral blood may be a sensitive measure of increasing symptoms in patients with asthma exacerbations and may serve as a biomarker of an asthma exacerbation.
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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".