Serum and urine eosinophil-derived neurotoxin (EDN) levels predict biologic response in severe asthma
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Background
Eosinophils are crucial in allergic inflammation, and their correlation with asthma severity has made them a focal point in predicting treatment outcomes. Blood eosinophil count is a commonly utilized marker. However, its limitations have prompted alternative biomarker exploration, such as eosinophil-derived neurotoxin (EDN).
Objective
This research was conducted over 24 weeks on 56 patients with severe asthma treated with mepolizumab, reslizumab, and dupilumab. We aimed to evaluate the clinical significance of blood eosinophil count and their potential, including those of blood EDN levels and urine EDN values as biomarkers for predicting treatment response.
Methods
The analysis encompassed examining correlations between biomarkers and clinical features, including exacerbation rates and lung function, through ELISA assays and subsequent statistical analyses. The study protocol is registered at ClinicalTrials.gov (NCT05164939).
Results
The findings underscore strong correlations between serum EDN levels, blood eosinophil counts, and treatment responses, with EDN demonstrating comparable predictive capabilities to blood eosinophil counts to determine treatment responses. Different biologics exhibited varying efficacy regarding baseline eosinophil counts and EDN levels.
Conclusions
Blood eosinophil counts and EDN levels show potential as predictive markers for treatment responses in patients with severe asthma undergoing biologic therapies. However, further comprehensive studies are warranted to enhance the reliability and applicability of EDN as an effective asthma treatment biomarker.
Eosinophils are crucial in allergic inflammation, and their correlation with asthma severity has made them a focal point in predicting treatment outcomes. Blood eosinophil count is a commonly utilized marker. However, its limitations have prompted alternative biomarker exploration, such as eosinophil-derived neurotoxin (EDN).
Objective
This research was conducted over 24 weeks on 56 patients with severe asthma treated with mepolizumab, reslizumab, and dupilumab. We aimed to evaluate the clinical significance of blood eosinophil count and their potential, including those of blood EDN levels and urine EDN values as biomarkers for predicting treatment response.
Methods
The analysis encompassed examining correlations between biomarkers and clinical features, including exacerbation rates and lung function, through ELISA assays and subsequent statistical analyses. The study protocol is registered at ClinicalTrials.gov (NCT05164939).
Results
The findings underscore strong correlations between serum EDN levels, blood eosinophil counts, and treatment responses, with EDN demonstrating comparable predictive capabilities to blood eosinophil counts to determine treatment responses. Different biologics exhibited varying efficacy regarding baseline eosinophil counts and EDN levels.
Conclusions
Blood eosinophil counts and EDN levels show potential as predictive markers for treatment responses in patients with severe asthma undergoing biologic therapies. However, further comprehensive studies are warranted to enhance the reliability and applicability of EDN as an effective asthma treatment biomarker.
Date Issued
2025-01-01
Date Acceptance
2024-10-10
Citation
World Allergy Organization Journal, 2025, 18 (1)
ISSN
1939-4551
Publisher
Elsevier BV
Journal / Book Title
World Allergy Organization Journal
Volume
18
Issue
1
Copyright Statement
© 2024 The Author(s). Published by Elsevier Inc. on behalf of World Allergy Organization. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/39896201
PII: S1939-4551(24)00122-4
Subjects
Allergic inflammation
Asthma
Biologic therapies
Biomarker
Blood eosinophil counts
Eosinophil-derived neurotoxin
Eosinophils
Exacerbation rates
Lung function
Publication Status
Published
Coverage Spatial
United States
Article Number
100990
Date Publish Online
2025-01-09