Immunity, Inflammation and Disease (Nov 2024)
Clinical Significance of Combined Detection of CCL22 and IL‐1 as Potential New Bronchial Inflammatory Mediators in Children's Asthma
Abstract
ABSTRACT Backgrounds Severe asthma is a significant health burden because children with severe asthma are vulnerable to medication‐related side effects, life‐threatening deterioration, and impaired quality of life. However, there is a lack of data to elucidate the role of inflammatory variables in asthma. This study aimed to compare the levels of inflammatory factors in serum and sputum in children with acute and stable asthma to those in healthy children and the ability to predict clinical response to azithromycin therapy. Methods This study recruited 95 individuals aged 1−3 years old and collected data from January 2018 to 2020. We examined serum and sputum inflammatory factors and constructed the least absolute shrinkage and selection operator (LASSO) model. Predictive models were constructed through multifactor logistic regression and presented in the form of column‐line plots. The performance of the column‐line diagrams was measured by subject work characteristics (ROC) curves, calibration plots, and decision curve analysis (DCA). Then, filter‐paper samples were collected from 45 children with acute asthma who were randomly assigned to receive either azithromycin (10 mg/kg, n = 22) or placebo (n = 23). Pretreatment levels of immune mediators were then analyzed and compared with clinical response to azithromycin therapy. Results Of the 95 eligible participants, 21 (22.11%) were healthy controls, 29 (30.53%) had stable asthma, and 45 (47.37%) had acute asthma. The levels of interferon‐γ (IFN‐γ), tumor necrosis factor‐a (TNF‐α), chemokine CCL22 (CCL22), interleukin 12 (IL‐12), chemokine CCL4 (CCL4), chemokine CCL2 (CCL2), and chemokine CCL13 (CCL13）were significantly higher in the acute asthma group than in the stable asthma group. A logistic regression analysis was performed using CCL22 and IL‐1 as independent variables. Additionally, IFN‐γ, TNF‐α, IL‐1, IL‐13, and CCL22 were identified in the LASSO model. Finally, we found that CCL22 and IL‐1 were more responsive in predicting the response to azithromycin treatment. Conclusion Our results show that CCL22 and IL‐1 are both representative markers during asthma symptom exacerbations and an immune mediator that can predict response to azithromycin therapy.
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