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Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children
BACKGROUND: Eosinophil Derived Neurotoxin (EDN) is an eosinophil granule protein that is released during eosinophil activation. EDN has proven to be a promising marker for eosinophilic inflammation both in asthma and in wheezing symptoms in children. OBJECTIVES: Here we present a novel ImmunoCAP(TM)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804739/ https://www.ncbi.nlm.nih.gov/pubmed/31649990 http://dx.doi.org/10.1016/j.plabm.2019.e00138 |
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author | Rydell, Niclas Nagao, Mizuho Ekoff, Helena Sjölander, Anders Borres, Magnus Fujisawa, Takao |
author_facet | Rydell, Niclas Nagao, Mizuho Ekoff, Helena Sjölander, Anders Borres, Magnus Fujisawa, Takao |
author_sort | Rydell, Niclas |
collection | PubMed |
description | BACKGROUND: Eosinophil Derived Neurotoxin (EDN) is an eosinophil granule protein that is released during eosinophil activation. EDN has proven to be a promising marker for eosinophilic inflammation both in asthma and in wheezing symptoms in children. OBJECTIVES: Here we present a novel ImmunoCAP(TM) automated immunofluorescence research assay for measurement of EDN and its potential use in diagnosis of asthmatic children. METHODS: We report the analytical performance of the assay in serum, heparin- and EDTA-plasma in terms of precision, linearity, sensitivity, interfering substances and specimen handling. We also compared the EDN research assay with established methods for asthma diagnosis: fraction of exhaled nitric oxide (FeNO) and blood eosinophil fraction (EOS%) to demonstrate the diagnostic value of EDN in childhood asthma. RESULTS: The total precision (measured using percentage CV) was ≤5.8% for both serum and plasma. The dilution analysis yielded linear results across the dynamic range of the assay for both serum and plasma. No notable interferences of endogenous substances were observed. The median concentration of EDN was significantly higher in the asthma group compared to the healthy controls and the EDN correlates well with EOS%. CONCLUSIONS: we have shown that EDN can be measured reliably and robustly with the ImmunoCAP platform in both serum and plasma samples. EDN can be used to distinguish asthmatic from healthy children and correlates well with EOS% and could be a valuable complement to both EOS% and FeNO. |
format | Online Article Text |
id | pubmed-6804739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68047392019-10-24 Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children Rydell, Niclas Nagao, Mizuho Ekoff, Helena Sjölander, Anders Borres, Magnus Fujisawa, Takao Pract Lab Med Article BACKGROUND: Eosinophil Derived Neurotoxin (EDN) is an eosinophil granule protein that is released during eosinophil activation. EDN has proven to be a promising marker for eosinophilic inflammation both in asthma and in wheezing symptoms in children. OBJECTIVES: Here we present a novel ImmunoCAP(TM) automated immunofluorescence research assay for measurement of EDN and its potential use in diagnosis of asthmatic children. METHODS: We report the analytical performance of the assay in serum, heparin- and EDTA-plasma in terms of precision, linearity, sensitivity, interfering substances and specimen handling. We also compared the EDN research assay with established methods for asthma diagnosis: fraction of exhaled nitric oxide (FeNO) and blood eosinophil fraction (EOS%) to demonstrate the diagnostic value of EDN in childhood asthma. RESULTS: The total precision (measured using percentage CV) was ≤5.8% for both serum and plasma. The dilution analysis yielded linear results across the dynamic range of the assay for both serum and plasma. No notable interferences of endogenous substances were observed. The median concentration of EDN was significantly higher in the asthma group compared to the healthy controls and the EDN correlates well with EOS%. CONCLUSIONS: we have shown that EDN can be measured reliably and robustly with the ImmunoCAP platform in both serum and plasma samples. EDN can be used to distinguish asthmatic from healthy children and correlates well with EOS% and could be a valuable complement to both EOS% and FeNO. Elsevier 2019-09-19 /pmc/articles/PMC6804739/ /pubmed/31649990 http://dx.doi.org/10.1016/j.plabm.2019.e00138 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Rydell, Niclas Nagao, Mizuho Ekoff, Helena Sjölander, Anders Borres, Magnus Fujisawa, Takao Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children |
title | Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children |
title_full | Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children |
title_fullStr | Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children |
title_full_unstemmed | Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children |
title_short | Development of an automated ImmunoCAP research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children |
title_sort | development of an automated immunocap research assay for eosinophil derived neurotoxin and its use in asthma diagnosis in children |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804739/ https://www.ncbi.nlm.nih.gov/pubmed/31649990 http://dx.doi.org/10.1016/j.plabm.2019.e00138 |
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