Role of Th2, Th17 and Treg Cells and relevant cytokines in pathogenesis of allergic rhinitis
Bibliographic record
Abstract
OBJECTIVE: To explore the role of different cells and molecules in the pathogenesis of allergic rhinitis (AR) with positive Artemisia allergen by detecting their expression levels. METHODS: From January 2021 to December 2022,200 AR patients diagnosed in the Otolaryngology Clinic of Ordos Central Hospital were selected as the AR group, and 50 healthy people who underwent physical examination in the hospital during the same period were randomly selected as the healthy control (HC) group. The levels of GATA-3mRNA, RORγtmRNA and FoxP3mRNA in peripheral blood mononuclear cells were detected by real-time fluorescence quantitative PCR (qRT-PCR). The proportions of Th2, Th17 and Treg cells were detected by flow cytometry. The concentrations of IL-4, IL-5, IL-17 and IL-10 in serum were detected by enzyme-linked immunosorbent assay. The differences of transcription gene level, immune cell ratio and cytokine concentration between the two groups were analyzed. RESULTS: There was no difference in age and gender between the two groups. The levels of GATA-3mRNA and RORγtmRNA transcription genes in peripheral blood mononuclear cells, the percentage of Th2, Th17 and Treg immune cells, the levels of eosinophils and basophils in peripheral blood, the concentrations of IL-4, IL-5, IL-17, IL-10 cytokines and IgE in serum of AR patients were significantly higher than those in HC group (P < 0.05). IL-4 and IL-17 were positively correlated with total IgE level. CONCLUSION: The secretion of immune cells and cytokines in peripheral blood of AR patients is abnormal. Th2, Th17, Treg specific transcription factors and related cells and cytokines are involved in the occurrence and development of allergic rhinitis.
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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) | 0.001 | 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".