Changes in type 2 biomarkers after anti-il5 treatment in patients with severe eosinophilic asthma

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Abstract

Patients with severe eosinophilic asthma (SEA) suffer from frequent asthma exacerbations, where eosinophils are major effector cells in airway inflammation, and anti-interleukin (IL)-5 becomes an effective treatment modality to control eosinophilic inflammation of SEA. Fifteen patients with SEA who had been treated with anti-IL5 (reslizumab, 100 mg monthly intravenously) for 6 months at Ajou University Hospital (Suwon, Korea) were enrolled in this study. Clinical parameters, including total blood eosinophil count (TEC), FEV1%, fractional exhaled nitric oxide (FeNO) levels, and serum biomarkers such as eosinophil-derived neurotoxin (EDN), periostin (PON), and transforming growth factor-β1 (TGF-β1), were analyzed. EDN levels and TEC decreased significantly after 1 month of treatment (P < 0.05 for both), while no changes were noted in FeNO/PON/TGF-β1 levels. FEV1% increased after 2 months of treatment (P < 0.05). A positive correlation was observed between TEC and EDN levels (r = 0.60, P = 0.02). Significant negative correlations were noted between age and TEC/EDN levels (r = -0.57, P = 0.02 and r = -0.56, P = 0.03, respectively). Baseline TEC was higher in the EDN-responder group (≥75% decrease) than in the non-responder group (P = 0.06) with a positive correlation between %reduction in EDN and TEC (r = 0.67, P = 0.01). The onset age was younger and asthma duration was longer in the FEV1%-non-responder group (<12% increase) than in the FEV1%-responder group (P = 0.07 and P = 0.007, respectively). In conclusion, changes in the serum EDN level may be a potential biomarker for monitoring eosinophilic inflammation after anti-IL5 treatment in SEA, which is affected by onset age and asthma duration.

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Jang, J. H., Woo, S. D., Lee, Y., Kim, C. K., Shin, Y. S., Ye, Y. M., & Park, H. S. (2021). Changes in type 2 biomarkers after anti-il5 treatment in patients with severe eosinophilic asthma. Allergy, Asthma and Immunology Research, 13(2), 330–338. https://doi.org/10.4168/AAIR.2021.13.2.330

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