Serum eosinophil-derived neurotoxin levels in machine learning-derived respiratory symptom clusters in adults

<bold>Background:</bold> Eosinophil-derived neurotoxin (EDN) has gained attention as a biomarker in asthma. Its relationship with respiratory symptoms, however, has not been explored. <bold>Aims and objectives</bold>: To describe serum EDN levels across respiratory symptom clusters derived using machine learning in a representative adult population. <bold>Methods:</bold> Within the ongoing West Sweden Asthma Study, unsupervised cluster analysis was performed in subjects with a serum EDN measurement (N=2,939) based on the presence/absence of 29 self-reported respiratory symptoms. Differences in serum EDN values between the respiratory clusters were compared using Mann–Whitney U test, stratified by sex. <bold>Results:</bold> Six respiratory symptom clusters were identified. EDN was slightly higher in clusters with allergic wheezing and coughing. It was consistently higher in men than in women across clusters (<bold>Figure 1</bold>). <bold>Conclusions:</bold> Respiratory symptom patterns correlate with EDN in adults, with men having consistenty higher values than women. Respiratory symptom patterns may reflect underlying pathophysiological pathways. <fig><object-id>erj;64/suppl_68/PA441/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <bold>Figure 1. Respiratory symptom patterns and eosinophil-derived neurotoxin values in adults</bold>

Authors

Institutions

Publication Details

Journal
Epidemiology
Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa441
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serum eosinophil-derived neurotoxin levels in machine learning-derived respiratory symptom clusters in adults

Jan Lötvall, Reshed Abohalaka, Daniil Lisik, Göran Wennergren et al.
Epidemiology
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Serum eosinophil-derived neurotoxin levels in machine learning-derived respiratory symptom clusters in adults

Jan Lötvall, Reshed Abohalaka, Daniil Lisik, Göran Wennergren, Madeleine Rådinger, Saliha Selin Özuygur Ermiş, Magnus P. Borres, Rani Basna, Radhika Jadhav, Linda Ekerljung, Helena Bäckman, Hannu Kankaanranta, Muwada Bashir Awad Bashir, Bright I. Nwaru, Carina Malmhäll, Selin Ercan
article en

Abstract

<bold>Background:</bold> Eosinophil-derived neurotoxin (EDN) has gained attention as a biomarker in asthma. Its relationship with respiratory symptoms, however, has not been explored. <bold>Aims and objectives</bold>: To describe serum EDN levels across respiratory symptom clusters derived using machine learning in a representative adult population. <bold>Methods:</bold> Within the ongoing West Sweden Asthma Study, unsupervised cluster analysis was performed in subjects with a serum EDN measurement (N=2,939) based on the presence/absence of 29 self-reported respiratory symptoms. Differences in serum EDN values between the respiratory clusters were compared using Mann–Whitney U test, stratified by sex. <bold>Results:</bold> Six respiratory symptom clusters were identified. EDN was slightly higher in clusters with allergic wheezing and coughing. It was consistently higher in men than in women across clusters (<bold>Figure 1</bold>). <bold>Conclusions:</bold> Respiratory symptom patterns correlate with EDN in adults, with men having consistenty higher values than women. Respiratory symptom patterns may reflect underlying pathophysiological pathways. <fig><object-id>erj;64/suppl_68/PA441/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <bold>Figure 1. Respiratory symptom patterns and eosinophil-derived neurotoxin values in adults</bold>

Epidemiology
Tampere University of Applied Sciences (FI), Lund University (SE), Thermo Fisher Scientific (Sweden) (SE), Tampere University (FI), University of Gothenburg (SE), Umeå University (SE)
Zero hunger
Openalex Percentile: Top 62%
Chronic Obstructive Pulmonary Disease (COPD) Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.